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<p>WHO </p>
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CONTACT_ORGANISATION
<p>World Health Organization (WHO) </p>
<p>Organisation mondiale de la Santé (OMS) </p>
STAT_CONC_DEF
<p>Percentage of bloodstream infection due to methicillin-resistant <em>Staphylococcus aureus</em> (MRSA) and <em>Escherichia coli</em> resistant to 3rd-generation cephalosporin (e.g., ESBL- E. coli) among patients seeking care and whose blood sample is taken and tested. </p>
<p> </p>
<ul>
<li>Presumptive methicillin-resistant <em>S. aureus</em> (MRSA) isolates as defined by oxacillin minimum inhibitory concentration (MIC) and cefoxitin disc diffusion tests according to current internationally recognized clinical breakpoints (e.g., EUCAST or CLSI)<sup><a href="#footnote-2" id="footnote-ref-2">[1]</a></sup> </li>
<li><em>E. coli</em> resistant to third generation cephalosporins: <em>E. coli</em> isolates that are resistant as defined by current internationally recognized clinical breakpoints for third generation cephalosporins (e.g., EUCAST or CLSI), specifically ceftriaxone or cefotaxime or ceftazidime. </li>
</ul><div class="footnotes"><div><sup class="footnote-number" id="footnote-2">1</sup><p> EUCAST guidelines for detection of resistance mechanisms and specific resistances of clinical and/or epidemiological importance. Version 2.0. 2017. Both for species identification and antimicrobial susceptibility testing (AST)</p><p>CLSI. M100 Performance Standards for Antimicrobial Susceptibility Testing. 29th ed2018 <a href="https://clsi.org/standards/products/microbiology/documents/m100/">https://clsi.org/standards/products/microbiology/documents/m100/</a> <a href="#footnote-ref-2">&#x2191;</a></p></div></div>
<p>Pourcentage d’infection de la circulation sanguine due au <em>Staphylococcus aureus</em> résistant à la méthicilline (SARM) et à <em>Escherichia coli</em> résistante aux céphalosporines de 3e génération (p. ex., BLSE-E. coli) chez les patients demandant des soins et dont l’échantillon de sang est prélevé et testé. </p>
<p> </p>
<ul>
<li>Isolats présumés de <em>Staphylococcus aureus</em> résistant à la méthicilline (SARM) tels que définis par la concentration minimale inhibitrice (MIC) d’oxacilline et les tests de diffusion sur disque de céfoxitine selon les points de rupture cliniques internationalement reconnus actuels (p. ex., « European Committee on Antimicrobial Susceptibility Testing » (EUCAST) ou « Clinical Laboratory Standards Institute » (CLSI))<sup><a href="#footnote-2" id="footnote-ref-2">[1]</a></sup> </li>
<li><em>E. coli</em> résistante aux céphalosporines de troisième génération : isolats d’<em>E. coli</em> résistante tels que définis par les points de rupture cliniques internationalement reconnus actuels pour les céphalosporines de troisième génération (p. ex., EUCAST ou CLSI), en particulier la ceftriaxone ou le céfotaxime ou la ceftazidime. </li>
</ul> <div class="footnotes"> <div> <sup class="footnote-number" id="footnote-2">1</sup><p> Lignes directrices de l'EUCAST pour la détection des mécanismes de résistance et des résistances spécifiques d’importance clinique et/ou épidémiologique. Version 2.0. 2017. Tant pour l’identification des espèces que pour les tests de sensibilité aux antimicrobiens (AST)</p><p>CLSI. Normes de rendement M100 pour les tests de sensibilité aux antimicrobiens. 29e éd. 2018 <a href="https://clsi.org/standards/products/microbiology/documents/m100/">(en anglais) https://clsi.org/standards/products/microbiology/documents/m100/</a> <a href="#footnote-ref-2">&#x2191;</a></p></div></div>
SOURCE_TYPE
<p><strong>Preferred sources:</strong> National AMR data collected through the national AMR surveillance system and reported to GLASS. </p>
<p> </p>
<p>GLASS provides a standardised approach to the collection, analysis, and sharing of AMR data by countries, and seeks to document the status of existing or newly developed national AMR surveillance systems. Furthermore, GLASS promotes a shift from surveillance approaches based solely on laboratory data to a system that includes epidemiological, clinical, and population-level data. GLASS also collaborates with regional and national AMR surveillance networks to produce timely and comprehensive data. Collaboration with the UN Food and Agriculture Organization (FAO) and the World Organisation for Animal Health (OIE) &#x2013; which together with WHO form the Tripartite Collaboration &#x2013; is ongoing to improve a comprehensive understanding of AMR across sectors and to promote the One Health Approach to AMR control. </p>
<p> </p>
<p>GLASS also collects information on the status of national AMR surveillance systems through a short </p>
<p>questionnaire completed by AMR national focal points (NFPs) in each country. The questionnaire covers three main areas: 1) overall coordination; 2) surveillance system; and 3) quality control. Each area consists of a set of indicators developed to measure development and strengthening of national AMR surveillance. </p>
<p> </p>
<p><strong>Other possible data sources:</strong> Published and non-published data from national centres and research/academic institutions and from others regional surveillance networks. </p>
<p><strong>Sources préférées :</strong> Données nationales sur la résistance aux antimicrobiens (RAM) recueillies par l’entremise du système national de surveillance de la RAM et déclarées au moyen du système « Global Antimicrobial Resistance and Use Surveillance System » (GLASS). </p>
<p> </p>
<p>GLASS fournit une approche standardisée de collecte, d’analyse et de partage des données sur la RAM par pays, et cherche à documenter l’état des systèmes nationaux de surveillance de la RAM existants ou nouvellement développés. En outre, GLASS favorise le passage d’approches de surveillance basées uniquement sur des données de laboratoire à un système qui comprend des données épidémiologiques, cliniques et au niveau de la population. GLASS collabore également avec les réseaux régionaux et nationaux de surveillance de la RAM pour produire des données complètes et en temps opportun. La collaboration avec l’Organisation des Nations Unies pour l’alimentation et l’agriculture (FAO) et l’Organisation mondiale de la Santé animale (OIE) – qui, avec l’OMS, forment la Collaboration tripartite – est en cours pour améliorer une compréhension globale de la résistance aux antimicrobiens dans tous les secteurs et promouvoir l’approche « Une seule santé » pour lutter contre la RAM. </p>
<p> </p>
<p>GLASS recueille également des informations sur l’état des systèmes nationaux de surveillance de la RAM par le biais d’un court questionnaire rempli par les points focaux nationaux (PFN) de la RAM dans chaque pays. Le questionnaire couvre trois domaines principaux : 1) la coordination globale; 2) le système de surveillance; et 3) le contrôle de la qualité. Chaque domaine consiste en un ensemble d’indicateurs élaborés pour mesurer le développement et le renforcement de la surveillance nationale de la RAM. </p>
<p> </p>
<p><strong>Autres sources de données possibles :</strong> Données publiées et non publiées provenant de centres nationaux, d’établissements de recherche ou d’établissements universitaires et d’autres réseaux de surveillance régionaux. </p>
FREQ_COLL
<p>Yearly </p>
<p>Annuel </p>
DATA_SOURCE
<p>Ministries of Health </p>
<p> </p>
<p>Ministères de la Santé </p>
<p> </p>
COMPILING_ORG
<p>WHO </p>
<p>OMS</p>
RATIONALE
<p>Antimicrobial resistance (AMR) is a global threat to health, livelihoods, food security and the achievement of many of the Sustainable Development Goals. Antibiotics, antivirals, antiparasitic agents and antifungals are increasingly ineffective owing to resistance developed through their excessive or inappropriate use, with serious consequences for human and animal health (terrestrial and aquatic), and plant health, and negative impacts on food production, the environment and the global economy<sup><a href="#footnote-3" id="footnote-ref-3">[2]</a></sup>. </p>
<p>In particular, antimicrobial resistance will negatively impact the achievement of many of the targets listed under Goal 3 due to reduced treatment options for infections by resistant pathogens; will impact targets under Goal 2 by impacting the agricultural productivity, including food animal production; and will impact targets in Goal 1 as increased antimicrobial resistance will result in large declines in economic growth, increase economic inequality and drive an additional 24 million people into extreme poverty by 2030<sup><a href="#footnote-4" id="footnote-ref-4">[3]</a></sup>. </p>
<p>Given the above context, there is an urgent need to build country capacity, especially in developing countries, to address this growing national and global multisectoral risk. The current indicator (3.d.1) for target 3.d has a focus on strengthening 13 core capacities &#x2013; essential public health capacity that State Parties are required to have in place throughout their territories pursuant to IHR (2005) requirements by the year 2012. While a few of these 13 core capacities<sup><a href="#footnote-5" id="footnote-ref-5">[4]</a></sup> can be considered &#x201C;AMR-sensitive&#x201D;, they do not specifically monitor or address the significant risks associated with AMR. So, with the adoption of the Global Action Plan on AMR in 2015 by the World Health Assembly, the adoption of a Political Declaration on AMR at the high-level meeting of the UN General Assembly in 2016, and the report in 2019 of the Ad-hoc Inter-Agency Coordination Group established by the UN Secretary-General, an urgent need has been identified for an additional indicator on AMR to be considered for inclusion within the global SDG indicator framework. </p>
<p>This new proposed indicator, based on establishing a functional national AMR surveillance system, is considered a basic building block for AMR monitoring and response in countries. Surveillance is the cornerstone to assessing the spread of AMR, providing early warning, and informing and monitoring the impact of local, national, and global risk reduction and management strategies. The global antimicrobial surveillance system (GLASS<sup><a href="#footnote-6" id="footnote-ref-6">[5]</a></sup>) managed by WHO recommends the establishment of three core components to set up a well-functioning national AMR surveillance system: 1) a National Coordinating Centre (NCC); 2) a National Reference Laboratory (NRL); and 3) Sentinel surveillance sites where both diagnostic and epidemiological data are collected. </p>
<p>This new proposed indicator, therefore will help catalyse the establishment of national AMR surveillance systems to ensure the collection of data at the national level and can also be used for tracking progress of country capacity for early warning of outbreaks of resistant infections. The proposed indicator aims to address critical elements of the SDG target 3.d through a strategic approach derived from the evidence gathered through this indicator, as well as allows to &#x2018;strengthen the capacity of all countries, in particular developing countries&#x2019;, &#x2018;reduction&#x2019; and &#x2018;management of national&#x2019; and &#x2018;global health risks&#x2019;, as part of the SDG global monitoring framework. The surveillance and diagnostics data thus generated will also help countries give early warning for public health preparedness, and for appropriate response measures. </p>
<p><strong>Rationale for selecting the types of AMR organisms</strong>: </p>
<p>(i) <em>E. coli</em> and <em>S. aureus</em> are among the most common human fast-growing bacteria causing acute human infections; </p>
<p>(ii) <em>E. coli</em> is highly prevalent in both humans, animals and environment, being an ideal indicator for monitoring AMR across the sectors in line with the One Health approach. It recognizes that the health of humans, animals and ecosystems are interconnected and therefore requires a coordinated, collaborative, multidisciplinary and cross-sectoral approach to address potential or existing risks that originate at the animal-human-ecosystems interface; </p>
<p>(iii) both MRSA and <em>E. coli</em> resistant to 3rd-generation cephalosporin are largely disseminated and found in high frequency in human infections observed in hospital settings all over the world and increasingly very frequent in the community. Infections with these types of AMR lead to increase in use of the last resort drugs (e.g., vancomycin for MRSA infections, and carbapenems for <em>E. coli</em> resistant to 3rd-generation cephalosporin) against which new types of AMR are emerging. </p>
<p>Effective control of these two types of AMR will ultimately help preserve the capacity to treat infections with available antimicrobials while new prevention and treatment solutions can be developed. WHO has well defined global infection prevention and control standards and strategies. </p><div class="footnotes"><div><sup class="footnote-number" id="footnote-3">2</sup><p> Retrospective cohort study. Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin. 2016;21. doi: 10.2807/1560-7917.ES.2016.21.33.30319 <a href="#footnote-ref-3">&#x2191;</a></p></div><div><sup class="footnote-number" id="footnote-4">3</sup><p> World Bank Group, Drug-resistant Infections: A Threat to Our Economic Future &#x2013; Final Report (Washington, D.C., March 2017). <a href="#footnote-ref-4">&#x2191;</a></p></div><div><sup class="footnote-number" id="footnote-5">4</sup><p> (1) Legislation and financing; (2) IHR Coordination and National Focal Point Functions; (3)Zoonotic events and the Human-Animal Health Interface; (4) Food safety; (5) Laboratory;; (6) Surveillance; (7) Human resources; (8) National Health Emergency Framework; (9) Health Service Provision; (10) Risk communication; (11) Points of entry; (12) Chemical events; (13) Radiation emergencies <a href="#footnote-ref-5">&#x2191;</a></p></div><div><sup class="footnote-number" id="footnote-6">5</sup><p> <a href="https://www.who.int/glass/en/">https://www.who.int/glass/en/</a> <a href="#footnote-ref-6">&#x2191;</a></p></div></div>
<p>La résistance aux antimicrobiens (RAM) est une menace mondiale pour la santé, les moyens de subsistance, la sécurité alimentaire et la réalisation de nombreux objectifs de développement durable. Les antibiotiques, les antiviraux, les agents antiparasitaires et les antifongiques sont de plus en plus inefficaces en raison de la résistance développée par leur utilisation excessive ou inappropriée, ce qui a de graves conséquences pour la santé humaine et animale (terrestre et aquatique), ainsi que pour la santé des plantes, et des impacts négatifs sur la production alimentaire, l'environnement et l'économie mondiale<sup><a href="#footnote-3" id="footnote-ref-3">[2]</a></sup>. </p>
<p>En particulier, la résistance antimicrobienne aura un impact négatif sur la réalisation de nombreuses cibles énumérées dans l'objectif 3 en raison de la réduction des options de traitement pour les infections par des agents pathogènes résistants; elle aura un impact sur les cibles de l'objectif 2 en ayant un impact sur la productivité agricole, y compris la production d'animaux destinés à l'alimentation; et elle aura un impact sur les cibles de l'objectif 1 car l'augmentation de la résistance aux antimicrobiens entraînera de fortes baisses de la croissance économique, augmentera les inégalités économiques et fera basculer 24 millions de personnes supplémentaires dans l'extrême pauvreté d'ici 2030<sup><a href="#footnote-4" id="footnote-ref-4">[3]</a></sup>. </p>
<p>Compte tenu du contexte ci-dessus, il est urgent de renforcer les capacités des pays, notamment des pays en développement, pour faire face à ce risque multisectoriel national et mondial croissant. L'indicateur actuel (3.d.1) de la cible 3.d est axé sur le renforcement de 13 capacités fondamentales – de santé publique essentielles que les États parties sont tenus de mettre en place sur l'ensemble de leur territoire conformément aux exigences du RSI (2005) d'ici 2012. Bien que quelques-unes de ces 13 capacités essentielles<sup><a href="#footnote-5" id="footnote-ref-5">[4]</a></sup> puissent être considérées comme « sensibles à la RAM », elles ne surveillent ni ne traitent spécifiquement les risques importants associés à la RAM. Ainsi, avec l'adoption du Plan d'action mondial sur la RAM en 2015 par l'Assemblée mondiale de la Santé, l'adoption d'une déclaration politique sur la RAM lors de la réunion de haut niveau de l'Assemblée générale des Nations unies en 2016, et le rapport en 2019 du Groupe de coordination inter-agences ad hoc établi par le Secrétaire général des Nations unies, un besoin urgent a été identifié pour qu'un indicateur supplémentaire sur la RAM soit envisagé pour être inclus dans le cadre des indicateurs mondiaux des ODD. </p>
<p>Ce nouvel indicateur proposé, basé sur l'établissement d'un système national fonctionnel de surveillance de la RAM, est considéré comme un élément de base pour la surveillance de la RAM et la réponse dans les pays. La surveillance est la pierre angulaire de l'évaluation de la propagation de la RAM, en permettant une alerte précoce et en informant et surveillant l'impact des stratégies locales, nationales et mondiales de réduction et de gestion des risques. Le système « Global Antimicrobial Resistance and Use Surveillance System » (GLASS<sup><a href="#footnote-6" id="footnote-ref-6">[5]</a></sup>) géré par l'OMS recommande la mise en place de trois composantes essentielles pour établir un système national de surveillance de la RAM qui fonctionne bien : 1) un centre de coordination national (CCN); 2) un laboratoire national de référence (LNR); et 3) des sites de surveillance sentinelle où sont recueillies à la fois des données diagnostiques et épidémiologiques. </p>
<p>Ce nouvel indicateur proposé permettra donc de catalyser la mise en place de systèmes nationaux de surveillance de la RAM afin d'assurer la collecte de données au niveau national et pourra également être utilisé pour suivre les progrès de la capacité des pays en matière d'alerte précoce des épidémies d'infections résistantes. L'indicateur proposé vise à répondre aux éléments essentiels de la cible 3.d par une approche stratégique dérivée des preuves recueillies par le biais de cet indicateur, et permet de « renforcer la capacité de tous les pays, en particulier des pays en développement », pour la « réduction » et la « gestion des risques sanitaires nationaux » et « mondiaux », dans le cadre du suivi global des ODD. Les données de surveillance et de diagnostic ainsi générées aideront également les pays à donner une alerte précoce pour la préparation de la santé publique, et pour des mesures de réponse appropriées. </p>
<p><strong>Justification de la sélection des types d'organismes résistants aux antimicrobiens</strong> : </p>
<p>(i) les bactéries <em>E. coli</em> et <em>S. aureus</em> sont parmi les bactéries humaines à croissance rapide les plus courantes causant des infections humaines aiguës; </p>
<p>(ii) la bactérie <em>E. coli</em> est très répandue à la fois chez les humains, les animaux et dans l'environnement, ce qui en fait un indicateur idéal pour surveiller la RAM dans tous les secteurs, conformément à l'approche « Une seule santé ». Elle reconnaît que la santé des humains, des animaux et des écosystèmes est interconnectée et nécessite donc une approche coordonnée, collaborative, multidisciplinaire et intersectorielle pour traiter les risques potentiels ou existants qui proviennent de l'interface animal-homme-écosystème; </p>
<p>(iii) tant le SARM que la <em>E. coli</em> résistante aux céphalosporines de 3ème génération sont largement répandus et retrouvés fréquemment dans les infections humaines observées en milieu hospitalier dans le monde entier et de plus en plus fréquemment dans la communauté. Les infections présentant ces types de RAM entraînent une augmentation de l'utilisation des médicaments de dernier recours (par exemple, la vancomycine pour les infections au SARM et les carbapénèmes pour la <em>E. coli</em> résistante aux céphalosporines de 3ème génération) contre lesquels de nouveaux types de RAM émergent. </p>
<p>Un contrôle efficace de ces deux types de RAM permettra finalement de préserver la capacité à traiter les infections avec les antimicrobiens disponibles, le temps de développer de nouvelles solutions de prévention et de traitement. L'OMS dispose de normes et de stratégies mondiales bien définies en matière de prévention et de contrôle des infections. </p><div class="footnotes"><div><sup class="footnote-number" id="footnote-3">2</sup><p> Étude de cohorte rétrospective. Euro surveillance : bulletin européen sur les maladies transmissibles = European communicable disease bulletin. 2016;21. doi : 10.2807/1560-7917.ES.2016.21.33.30319 <a href="#footnote-ref-3">&#x2191;</a></p></div><div><sup class="footnote-number" id="footnote-4">3</sup><p> Groupe de la Banque mondiale, « Drug-resistant Infections: A Threat to Our Economic Future – Final Report » (Washington, D.C., mars 2017). <a href="#footnote-ref-4">&#x2191;</a></p></div><div><sup class="footnote-number" id="footnote-5">4</sup><p> (1) Législation et financement; (2) Coordination du RSI et fonctions des points focaux nationaux; (3) Zoonoses et interface santé humaine-santé animale; (4) Sécurité alimentaire; (5) Laboratoire; (6) Surveillance; (7) Ressources humaines; (8) Cadre national des urgences sanitaires; (9) Prestation de services de santé; (10) Communication des risques; (11) Points d'entrée; (12) Événements chimiques; (13) Urgences radiologiques <a href="#footnote-ref-5">&#x2191;</a></p></div><div><sup class="footnote-number" id="footnote-6">5</sup><p> <a href="https://www.who.int/glass/en/">https://www.who.int/glass/en/</a> <a href="#footnote-ref-6">&#x2191;</a></p></div></div>
REC_USE_LIM
<p>AMR is an emerging global threat and risk to public health worldwide. In its early implementation phase of the global antimicrobial resistance surveillance system (GLASS), WHO recognizes various constraints in obtaining unbiased, representative AMR data: number and distribution of surveillance sites and representativeness of surveillance data, sampling bias, poor diagnostic capacity, measurements errors, issues with data management. It is imperative that countries should have a functioning national system to support AMR surveillance and report to GLASS. More detailed GLASS methodology and limitations of data currently submitted by countries can be found in the GLASS report<sup><a href="#footnote-7" id="footnote-ref-7">[6]</a></sup>. AMR surveillance, country preparedness and response are now high priority for WHO and its Member States. In the next five years, WHO aims to provide intensified technical assistance. Experience gained and lessons learnt from the further implementation of the national AMR surveillance systems will increase effectiveness, address limitations, and the make the data more robust. </p><div class="footnotes"><div><sup class="footnote-number" id="footnote-7">6</sup><p> <strong>Global antimicrobial resistance surveillance system (GLASS) report: </strong>Early implementation 2017-2018 (2019). <a href="https://apps.who.int/iris/bitstream/handle/10665/279656/9789241515061-eng.pdf">https://apps.who.int/iris/bitstream/handle/10665/279656/9789241515061-eng.pdf</a> <a href="#footnote-ref-7">&#x2191;</a></p></div></div>
<p>La résistance aux antimicrobiens (RAM) est une menace et un risque mondiaux émergents pour la santé publique dans le monde entier. Dans sa phase initiale de mise en œuvre du système « Global Antimicrobial Resistance and Use Surveillance System » (GLASS), l’OMS reconnaît diverses contraintes pour obtenir des données sur la RAM non biaisées et représentatives : nombre et distribution des sites de surveillance et représentativité des données de surveillance, biais d’échantillonnage, faible capacité de diagnostic, erreurs de mesure et problèmes de gestion des données. Il est impératif que les pays disposent d’un système national opérationnel pour soutenir la surveillance de la RAM et soumettre leurs données dans le système GLASS. La méthodologie plus détaillée et les limites des données actuellement soumises par les pays peuvent être trouvées dans le rapport (en anglais) GLASS<sup><a href="#footnote-7" id="footnote-ref-7">[6]</a></sup>. La surveillance de la résistance aux antimicrobiens, la préparation et la réaction des pays sont désormais une priorité absolue pour l’OMS et ses États embres. Au cours des cinq prochaines années, l’OMS entend intensifier l’assistance technique. L’expérience acquise et les leçons tirées de la poursuite de la mise en œuvre des systèmes nationaux de surveillance de la RAM augmenteront l’efficacité, corrigeront les limites et rendront les données plus robustes. </p> <div class="footnotes"> <div> <sup class="footnote-number" id="footnote-7">6</sup><p> <strong>« Global antimicrobial resistance surveillance system (GLASS) report : </strong>Early implementation 2017-2018 » (2019). <a href="https://apps.who.int/iris/bitstream/handle/10665/279656/9789241515061-eng.pdf">https://apps.who.int/iris/bitstream/handle/10665/279656/9789241515061-eng.pdf</a> <a href="#footnote-ref-7">&#x2191;</a></p></div></div>
DATA_COMP
<p>The WHO Global AMR Surveillance System (GLASS) supports countries to implement an AMR standardized surveillance system. Cases of AMR infection are found among patients from whom routine clinical samples have been collected for blood culture at surveillance sites (health care facility) according to local clinical practices, and antimicrobial susceptibility tests (AST) are performed for the isolated blood pathogens as per international standards<sup><a href="#footnote-8" id="footnote-ref-8">[7]</a></sup>. The microbiological results (bacteria identification and AST) are de-duplicated and combined with the patient data and related to population data from the surveillance sites. GLASS does collect information on the origin of the infection, either community origin (less than 2 calendar days in hospital) or hospital origin (patients hospitalized for more than 2 calendar days). Data are collated and validated at national level and reported to GLASS where epidemiological statistics and metrics are generated. GLASS has published guidelines on the set up of national AMR surveillance systems<sup><a href="#footnote-9" id="footnote-ref-9">[8]</a></sup> and the GLASS methodology implementation manual<sup><a href="#footnote-10" id="footnote-ref-10">[9]</a></sup> is available to countries. </p>
<p>Although national representativeness of generated AMR rates is not a strict requirement, GLASS encourages countries to derive representative national data. </p>
<p><strong>Formulation of the proposed new indicator: </strong>Proportion of patients with <strong>Percentage of bloodstream infections due to selected antimicrobial resistant organisms. </strong> </p>
<p>This is derived from the following and multiplied by 100<sup><a href="#footnote-11" id="footnote-ref-11">[10]</a></sup><strong>:</strong> </p>
<p><strong>Numerator:</strong> Number of patients with growth of methicillin-resistant <em>S. aureus </em>or<em> E. coli</em> resistant to third generation cephalosporins in tested blood samples </p>
<p><strong>Denominator:</strong> Total number of patients with growth of <em>S. aureus</em> or <em>E. coli </em>in tested blood samples </p>
<p><img 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Uv3a+7ZITG4gpu3dMorew4ln3zq1x1GgWq29INCUVSnMNomJgyvVr/3ve8dwShdrNGDMMv2j/7oj07jHAnnb/7mb07oNfJi4qEoKlu6X3PPEemG83TXuIJrL50CuMvFaCp8WCiKoiiqadL9mrcyJAvn6a5pWbsWx0+fSW5+eXOHOaBGR9YDQ1EURVFNku7XvJ0hFs7X3dyydy12HD7OpVNGXNYDQ1EURVFNku7XvKUhIc7Xfb1l71rA5PF7vNGX9cBQFEVRVJOk+zVva4jGFdKd3t+lvLn/KE3eAlH4sFAURVFU06T7NW9tiOAK6AHv71JenTic/NXyX3WYAWp0FT4sFEVRFNU06X7N2xviPN28PWtfHj9Ak7fAFD4sFEVRFNU06X7N25yFjfN0MHkrW/auxS9+t7/DAFALQ+HDQlEURVFNk+7XvNVZuDhPh90uOkwe96xduAofFoqiKIpqmnS/5u3OwsR5Opi8N1r2rsVPtrzd0fFTC0vhw0JRFEVRTZPu17zlWXg4T/dBVxgdJo+7XTRfX3hxU7qgNXTP6ztS4w7hVTxmT1v66dvbk09v/lnyf218iKIoiqJGQ689mnzs2WcWptFznu4Pncnb1bJ3Le5cv900DlR9dMPzG1MDt2zDrtS8YbIMjNrEiZP+LvbHp3/zU/shoSiKoqgm643/XHhGz/XrHSbv1NlzNHk103XPvpF8a+3W1My9sudQ8vaxaX+3ysF8OCiKoihqBOTtz8LA9enzTN7XVm8xzQZVjbAQNUwdJsBgdG4QJs9MJxunJlKtPTqe/OfExlQP7Hs9+fKO5zKlHwhXP85RFEVRVJOl+zVvgUYf5wOwhEr7m7zjp8/Q5A1BWJcQ5f741nfSbeV6Ycf0ZGrilh8YSw3c7btXp0atyFev4cNCURRFUU2T7te8DRp9XMY7llChyatO+K4Or2FjR+yOnz2VGrrH3t2cfHd8bXLT9pUdZqxMhQ8LNVr64Q9/OOuag+Qv//IvZ48fP26eQ1EU1XTpfq3lgkYcl+ml3kOkYDamZUioYoRJE5jBjO3j8Hq8GxipwyjdN3etGvrEiPBhoUZHp0+fPnfZZZelRu9rX/uaO2SfR9VPTb93C6Hu8fmql3S/5u7JaON8xM0tO9ECrwwtc0INJozaYQkTvBLvxvjJo8nPD/42NXZXbH6sw2gNW9YDU7VuuummtLHUes973pP83d/9XaGjUBLPQhnd2rFjx7kPfOADaVn+6le/Ms+h6ikavfqLRq9e0v2auyeji8vsld5bpGA5DsukUP0Js2NhnLstbzJxaio1dvimru5LmYQPyzBkGT3Rhz/84aQXU/Y///M/53Dd+973vuTdd99tH0ejXIXRy4p/GJLXtr2WYd1UpzItWnn1tQkmoqr017EOLCSj14RnUPdrLq2jifMXF7vMzrSsRpJ+H4aJAJZhoeKFWbJ49T126Jgv2fnA2D03+Vb6fd01Y8s7jFTdFT4sw5A2YPh/bcqghx9+OD0eo2E3SHVpEHUn1Ev51VFN6GT6VVbeaPQ6Vcc6QKNXL+l+zaV19HBeY5HL6OGW7XDG48TJ1KBYxoWKE5ZAwYhoFljaBKN2129b0WGcmqbwYRmGQqMHyWtHHJdG9Pnnn5/9yEc+kp4ruuqqq9qjc9bIoH5tacUDIa6LLrqofS2uueOOO9rnSIOO47/85S/Pffazn22f20v8u3fvPqfTf/7555uvVK10Tk9PnzvvvPPS67Rxy8pTTMOclR7kNytcPUp45MiRdrmsWrWqo1zw2h3h3HXXXbNyH3VZFVWmEOpFeP++/e1vm3H1mk4o9r71qry8SZpx7Ktf/erszTff3D43TB/UrQygmHx0exa0ikr/oM+1VpF5jG0X8Ju0Ubrd+vGPf9w+V2vlypWzF1xwQXoOpD9R6VYWkJQHwg/jh3q5h1CR5T9M6X7NpXG0cJ4DW5u118rDN2OLn37NNC9UvvBq9ukdE8nkzGlfmvNZdXhX+kpWV6omK3xYhiFpSPKMnjY6oeS6bg2SFY8YIkvSeOoG3VJM/Fnpt16rWiZNp9NKl27oISuvWt3SI4ZOpyGMr1u5WJL0FFGm+F3SaSk2LktybS/3TddZS+G9yMtbbPlAMWUQk4+YZ0GriPQX8VyLisxjr+0Cjun4rfoBZd0r/PEWUxaQVR7ye6/3sMjyH7Z0v+bSODo434G18l5pWZDWgsjY+9QyMZQtvN7Gq9m83SjGThxIvvfOutpNpChC4cMyDElDIg0LGlA5pjuOZcuWzb7xxhvt6/AXLc6xDJE1kmXFIw21/osXf3Gjw5Yw9HlIzxNPPJGaHAnP6kjC+MUE6OP4S/rP//zPO/5a1+ciHBm90x2ExCfnhY2ubryzXtt2S48VRhhfWC7hMQj3yCqrrGvD+454s8pUpxH3VMLF6FwYbr/p7Pe+WZJ6p5WVtzDNWXUutgy65UPHl/csyHHRoOnHsUGfa1FReeznPJioMG9ynSjrXmG0E89YbFlIPBB+l3Nj0y3Hodg4Y8p/2NL9mkvr6OAyt9x7kRS8brTMDDVfeLWNte6yRu/w3R3WtWvaN3e9KnxYhiHdcIXCaw05D69l8NoNjZY+J7ZBknikw+3WMVumwPqrPyZ+HdeiRYvmvVbTCuPT/w9JuiSusGOJaZRj0hOWl5hN3Ulb5RJeB4VpyrpWp0sMZlZ+5LiUhxwPTeog6ezlvvWjrLxlpTk8P7YMuuVD/24pDF80aPpxbNDnWlRUHmPP03m88MIL099i0pdVllBMWVj1Fur3HhZV/sOW7tdcWkcDl7E7vSdJwcb3lqGhOnXVivWpwbOWRcHCxZhUEW4TNsoKH5ZhSBouLTTU+q9V3XGFim2Qwgaynwa9W6eVFz9+C+PT4WlpU3XgwIE07/j3tddemx5H553V4GcdD9UtPZIXlAO+owvLYBADlXWtviexRi88XqTRk2Ox961XZeUhts7FloFcm5WPfk3CoOkv4rnWKiKP/bQLYvQgKe9Q3fIQWxZZz3c/97Do8h+mdL/m0tp8XKY+571JCvZNtUwNNScYPJSTtaAxRu8wY/Yv33y4wwQtBIUPyzAUY0ykodGNldX45DVIYTzSMGZ1YqLYTivrWKgtW7a0JwRkxa3T9m//9m/tuCX8v/iLv2h/iK07FquD76as9OiwvvSlL83i3/r3QQxU1rW6s9IGRV8r58rxsAzDMAZJpxyHut23bh2tVb+z4outc7FlIMchKx+6voX5ylMZ6bfCzIonS4PkMfY8nUdMOJF/Z7267RZubFl0M3rd0q1VVvkPQ7pfc2ltNs6XXN6yJy2wG4NlbKiWMDEFCxtbBg87VMDg6Qqy0GQ9MFWrF6OHhmbTpk1pIyvXWQ2S1diF8Wgjg2PSOCPse++91/y2J6/T0sfC+HEc4SHt+P9uhkz/jtECCU8ac4x44r9hw2ulyVJsesKPx3UnllUuMQZKXyt56/WeSllIXHKvwjAGSWdsOUE6PZZ0PKKsvGWlOUxfbBl0y4f+fwlH0qGfBUmHaND06//v97kWFZXH2PPCPOp7ofMsssJFGPieEt/UxZaFVW+zwsfxMN36miLLf9jS/ZpLa3Nx3uQPXYbaa+Vhk3yulWcL25LB4FnA4GGXCl0xFqrCh2UYymq4tPI6Ud0g6cYO0g2TFU/WLDio27doupHsFr+cG0pfG0rSq8/TaYHCMospSyg2PWG56/xnlYuVhrCswnyE0tfG3FNLkqZB0tnPfetFWXnrpc7FlEFMPmKeBZynNWj6i3iuw7BD9ZPHftsFuc5Kn/49FK6PLYu8Z7zXe1hk+Q9bul9zaWwmzp90zLDFWnl4HWmZnIUsGLxX9hzypdTJxqmJBfX9XYzCh2UYymu4tNCQS6OEhuYHP/hB+jpRN0iQzDLDefhN/sLPigfn63WtELZe26qXThey4kcY+KtaN6oXXXRRO22WdMel06wbc50e3Rhbo4RasenReQ8b96xyiTFQ+lq89pLXbJAue1HWPYXwLafOR/h956Dp7PW+9aqs+tJLnYspg5h8dHsWLA2afhyT6/t5rkVF57HbeVYe8Qy6OOfVKy19r8IwY8qiW3vZ6z0sqvyHLd2vuTQ2E5eRb3u/wmVUDMH0Zhm8tUfHafAyFD4sVHOVZQIGlXQsWaM6/SjLCFAURfUj3a/BMzUO51UublmWFpg1apmdhaofbdptzqKFwWv6zhVly3pgqGaq21/6/Ui/2inSkNHoURRVpHS/Bt/UKJxfeb/LxL6WdWntYWuZnYUojGriO8UQ7F4x6uvfFaXwYaGaqV5e2/YieU1c9CghjR5FUUVK92vwTo3CZaC9KDJGrfhdXmuxY2uixfjJo8lN21d2GBkqX+HDQlEURVFNk+7XvH1qBi7x/+g9TAp3vlib3Ll++7zXtKdmzyYP7Hu9w8BQcQofFoqiKIpqmnS/5i1U/XH+ZZFLfHspFWy2bxmfhSLMph07dMyXxhyvHtuTfPo3P+0wL1S8woeFoiiKopom3a95G1VvnH/BUipvtKxMkm64v1DXy8Nr2se3vuNLYo7JM9PJrTtf6DAtVO8KHxaKoiiKapp0v+atVL1xiW7vY4ulVK579g3TBI268Kp6cua0L4k5Hnt384LcrqwMhQ8LRVEURTVNul/zVqq+uAR/1PuZlGUbdpkmaJSFUbyXxw/4Ephj7MSB5NqtT3UYFWowhQ9LEzSsGZu9LF8yCrNK9UKq559/fqGzbkOVsTRMGSprrcJ+JDOtschtFbsUjPJM6WHlTWa1F7lGpZbUkTrU17Kl+zVXpvXFeZkPugS3l1LBAsCWERpl4Vs8vKrWHD97asHvSVuWwoelCaLRK1/h1khFmgldjtK5WWVrnZenXs/vRxKHvqdyzOqsrXyJnn/++dmPfOQj6e9QuINB1nZW+l7khV+0aPSKF41ecdL9mivT+uISu9J7m/SV5UJbSuWe13ekr6o1WBPvis2PdZgTqjiFD0sTVCejlzXC0/ROsayRK5SLLkfp3MKyzTovr7yt84tU1giaxNuL0bv55pvT45akvsi1oXT8YsiLvE+jWqfzNKy8DcPo1WlUukjpfs3lr564hH7Oe5uUm1/ebJqhUZT1qhZLpnAUr3yFD0sTNKxG2eq0afSKUZYhCjXMTior7l6NnoQjx+WaPXv2pAYwNHp5JkA6cpzXbaFsMRX9ljGNXvGi0StOul9z+asfztd8yCW0vZQKZplahmgUZb2qxcLH/BavGoUPSxOkG2VsiK9HR6666qp5ozkY9ZCNxiGMiNxxxx3up7lzwtdoVlhhpy3/ryWjLb2mMdyIXL/C6yVt2DDd6rBiykBk5Us6opi0QHn5Ccsx9piVLj26ZYURk+/du3ef03nC94h6xE5kha+Pxxg9XS+6de554WplpStUjNGTsLT6rdOoK2HZf/vb3+44L6bs+6m7Oo9ZZlifW0beQiGOMNy77ror/f/wHncLX9KL47/85S/PffaznzXTK+dJ+Hn3V+JuqnS/5vJVP1wi20upYK24hbKUivWq9rnJtzijtkKFD0sTpBtlS7qR16MnocQI6Y4glA4r7ERiO0VLOlzpgEOhU+o1bdbvMWWgZYWFjuLAgQNRacnLjw7fSn/eMStdupMKzx/k3ocdr76fYZlJvJYhC9Mkr1qtcELlhasVOypUpNGzpMPNqgOQnBdT9r3WXWu0Soch14T3s+i8WbLKVqTzHBN+L+nVyru/1vlNku7XXL7qhUtg+5UtTM/ip18zTdEoCa9qMdFEgwkXt+9e3WFCqPIVPixNkG7k0Eg98cQTaUMddoz6PD0CgNEm/V0Tzlu2bNnsG2+80Y4DI2O4TncYEr5uRK2OBYpNo+7sEK6kG3/5wxj1mjYIv8u5Oh15ZSDHRVa+YtLSLT+4xirH2GNZ5Q3p82PzLcZLh4fRlD//8z/vGJ3R4WUZvTxJHrTR06NLlrLCDQ2dGAOrTLRijB5UVp2W0SsxFt3KPvYeynHIKl9tnCSNcp6kpei86TRB1nU6rb2GH5veMB1Q3jPUZOl+zeWvPjh/g1m27Ve2P9q02zRGo6QvvLgpmThx0ue4xY7pSb6qHZLCh6UJ0o2c7nTDBkw3pJZ0o4xXSHj9EZ6vG0NpRHVHGdMpxqQxq4OA+k0b1EsZaGXlq1taYvJjpTX2WF4npc+Pzbc+b9GiRZmv33QHHBo0iTdPkgdJP1SU0Yupg1myyjEmvLw6Lf8f1oGwDLuVfT91N0xjWAZyjaRRyrLovMlxUdZ1YkIlHbHhx6ZXjmvFnNNE6X7N5a8+uMQ94r1OsuPw8ZF/ZYs1AcNXtcsPjPFV7RAVPixNUGwjF9tR6EY0lG4MezEevXYcWY3uIGmD+uksIStdMWnplh/ISmvssbzw9fm95BthhufqewbldeQSrzWKEuZBpyuMI1ReuFpZZRKaHEtWOcaE10+dtsowr+z7rbvaPMnnBvj3tddemx5H3OF9KSNvWlnXZRm9buHHpleOa8Wc00Tpfs3lrx64hHUsjIyRLsscjYp+8bv9Pqct8Kr2m7tWdZgOqnqFD0sTFNvISUeR1SGI5Lqw89dh4VjYOWSdBxWVxkHSBsWWQSgrjpi0xMRnpTX2mJUukT6/n3xv2bKl/VF7eF3W/YQk3hijpzvsbgYuL1wtMQtWmWjJebo8LWWVca9mKCxDuSf4LTRDVtn3W3f1df/2b//WTq+k6y/+4i/aE5YkHWXmDcq6LnZELww/Nr1yXCvmnCZK92suf8PH+RzsZTvWsjxJ8vSOCdMcjYIwShl+j4cdLq4ZW95hOKjhKHxYmqDYRk53qujcpLPE9ffee2/7WyB93aZNm9LfpZPVjWHYaes4w4Z5kDTiWnyTg++SBkkbFFsG+hooTGd4LCst3fKDcKy0xh7LKm9In9/Lvce/kR/8rq/THTaus+4nJPHGGD1IOndIz0ZGHPiWEcfw/3nhaoVmwToH6tXo9VuntSmRsse1kh85r1vZ91t39XUXXnhhOx+SLrwmxn913S46b3K9SF8n91cfk3sXG35seuW4Vtb9bbp0v+byN3yc17m5ZXlaCyNjcoJlkpou5OvVicM+py0wq1bfEGq4sh6YuquXRk53qqGsxjWUDsvqtHWnAknjWUQacd0gaRPFlEF4jZXO2LTk5Qe/W2mNPZZV3tb5MfmWfIbS+RFJ+GGZZR3Xv+k86LphSc7NC1fLisOSlEe384qo05ImS3JtTNn3U3chHb+EF5Z71j0pIm+W8q7TeYkJv5f0hsp7hpos3a+5fA0X53X+0CWqPQHjzvXbTZPUdMHk4btDDb7H0zeDGr7Ch6UJ6rWRC9d0Q8OmR1LkWjEx+P0HP/jBLBpDq4EPO0qZBShxy2hXL2nE7FUdv07fIGkTxZSBVlY6Y9IC5eXHSmvsMcgq76zzu+Ub9wmjQxIedNFFF7XD1MoqE4k31uhBEm9e2vLCFelO23plqBVr9KCi6zSEkbRwRnhM2fdadyFJE6Tzq42jzkPRebOEOOT1NIT17t588830eQrvcUzZ9Wv0oKxnqMnS/ZrL13BxCVrufU/y5v6jpklqurBETDiz9oF9r3cYDKoeCh8WiqJs9WKqqlJsx05Roy7dr6Vma1g4v3Nxy/a01sy77tk3TKPUZGGnC7yO1nArs/rKemAoirKVNUI3LNUtPRQ1LOl+LTVcw8Ilpr0DxpPb95pGqcnCzOHjp8/4HLb2q7115wsdxoKql8KHhaKobNVpBE1GGPEqc5Q+qqeofqT7tZbjGgIuIVd6/5OaoatWrDfNUlP1tdVbOtbIw/IpX97xXIepoOqn8GGhKIqiqKZJ92vedlWL8z1YTmVfywIl6cLBlllqqjChRDN5Zjq5ftuKDkNB1VPhw0JRFEVRTZPu17z1qhbnfTqWUxmlHTBgWjUTp6a4Rl6DZD0wFEVRFNUk6X7NW6/qcN6nYz/b76zbZhqmJgp782qwZ+0Vmx/rMBJUvRU+LBRFURTVNOl+zduv6nAJWOp9ULqunGWYmqjwde3GqQmavCEJI6j4HlL0vXfWJf85sbGtx97dnN4f0eMHX0yu3PWZ5NK3PkVRFEVRo6Ht1yT/12++Xa3Rc/7nQy0b1OLmlzebpqlpwsQLDczDX775sGlCqOIEE3f77tWpeVt7dDzdSq4frtx1nf2QUBRFUVSj9X9Xa/Rm1eLI2O/VMk1NE8yqnl3L17XFC4YOC0xjJxGYaExuKRL74aAoiqKo5stbsPJx/WnHaB4WEraMU5OEPOh18jDx4tO/+alpVqh43bR9ZTpKB1PXDxNn9icbp3+Tas3xXycPTf5Xh75/4MfJl/Z8oy39QBBCCCFNR/dr3oaVz6iN5mFbM73jBUaZOLu2P2HpGYzYvXpsT7qodCxjM9vaRu62ibuSG9+5taNy9yNCCCGk6eh+zduwcnFx/mEr6hZNH83D4s5671oshsx18uIFQ/yDPevT7+pQdt0YP70nWXH0udTQYQTub3/32Y5KXKQIIYSQpqP7NW/FymV2dvZOH3fjR/M++dSv09nCAkag8A2ZZWioOeG7Rcx+jZkwgVevzx1blSx5997KJ0oQQgghTUf3a96KlYeLr2PdvCaP5mFh5zf3H/U5acG9a/OFWbGrDncuIh0yefZw29iVOVoXI0IIIaTp6H7N27HyGKXRvFcnDvuctPju+FrT3Cx0YTLFzw/+Nve1LL6tu3v/D5N/2H1TR4UctgghhJCmo/s1b8fKwcU1MqN5v/jdfp+LFpgVapmchaprtz6VlglmHmeByRMwd3+9c3FHJayTCCGEkKaj+zVvycphVEbzfrLlbZ+LFljPzTI7C1GYhIJJFVngeztMohj2K9lYEUIIIU1H92vekhWPi+e9zui133V+a+1W00TVXVgQWfPc5Fum4VloyjN4+OYOs2T/6e0vd1S2JogQQghpOrpf87aseJzJ+5yPr7F72mKGrV5GBTNGF/rWZphhnGXw8N3dN/Yt6ahgTRMhhBDSdHS/5m1Z8TijN+bjS5Zt2GUaqboLr5sFTCxYyAsiw+Bl7VSxampNI0fvLBFCCCFNR/dr3pYVi4vj8lZUziCdPpMuS2IZqToL5lTzzV2rTAM06sozeFgSpSnf3sWKEEIIaTq6X/PWrFhmZ2dX+riSJ7fvNY1UnfWFFzclp86e8zlYmJMvMIs2a3HjUTR4IkIIIaTp6H7NW7PicOF/qBVNC2wXZpmpumqhf5eHHSwee7dzAgo4NXs6nWAxqgZPREgvnDlzJvn4xz+OhjT5l3/5F3+UjDK856QJ6H4tNWdF0vQlVRbyd3nYxWLyzLTP/RxPHPl55VuRDUtN5fOf/3za8Wi95z3vSRYvXpycOHHCnzU4Es/ll19eaLh1opc8stNfeMTe84XwrFSBlOOHP/zheeWoyzjkhRdeSC699NL0dyhsD++///72b1o4b926dek5TUb3ay5fxeHCfr8zeu0FkvEK1DJTddU9r+/wKW+xUL7Lw2ta6zu8jdO/qd3OFWWrqUiDZ8lqIPNYvXp1et373ve+ZP/+uYXC0cFV0XllxV8FWXnMK5NRNnrDvBd1JeaeV/WsNJnYuiXl2IvR+8pXvpIetyT3TK4NRaPXBWfy/tHH0bglVa579o0F911e1mtarIN328RdHRVloaiphA2e7migRx55JD0ew7A79zqaCxo9Gj1h1O95VZRl9CRcOS7X7N27NzWAodHr9Q/hpqD7NZfP4nBG7xUfRzo6ZhmqOgqzgt8+NvfKcvzk0ZH/Li/rNe2jh5+s9RZlZaupWA3ezp07kw984APpcWncwtcZ0NVXX91u6LQ5FOm/cK14AOK6+OKLO65ZsmSJ/3Wuc8TxNWvWJDfccEP73F7iHx8f70j/+eefb/71baVzZmYmOe+889Lj2viG52b9v5akSXf6t9xyS8dIgs5XSFY+tEEPy1heNaFjOnr0aLs8X3755Y7yxOsphHP33Xe3779OS1H3AqA+hff99ttvN+PqNZ0g9n6DmHO71VMQW5fxmzxX+ll78MEH02P6PsaWOcC5+netsE4IzzzzTHLBBRe0z9OvKLs980DSirSHeQMx5aYZtJ3RyLkxRk/fm24GLi/cUUD3ay6fxeDCXdQKPklHxjCpwTJVdZTex/bU7Nn0VaZljkZBn/7NT5NXj+3xuZ0D+9AutNe0lppK2OAB3fmg0dZGJ5Rc160BtuLRf0GHks5CN8CWYuLPSr/VUFujBTqdVrrkWJjHvDTF5kvTLR9i6HTaw3R2i9eSpKWIewGyvnGCYuOyJNf2cr9jzo2pp73WZRzTcev4dD2KLfPY8zRZ9wF/zGSVC6TDsu61/B5TJpqYOLvVLY2ca913XcYgbPPyyAt3FND9mstnMczOzn7bh5+8PH7ANFR11HfWbfOpbvHd8bWmQRoFYU28cBQPr2mXvHtvR6VYyGoqYYOHDkOOaVNy3333JRs2bEjPAfgLHudYhsh6pWLFIx2T/gsfIwxocCUMfR7Ss3z58o40Wh1yGL804vo4Rg4uueSSeQ21bvBl9E53iBKfnKc7mTCPICtNveRL6JYP3VFK2sN0hvGGxyDcWystWdfKebossvKt04hyknAxOheG2286+7nfWefqOLPq6Z49e7qeg7B1WDATWfdajqN8wnLIqic6H5s3tz6rkXqr66OQdR8wsoy6g3/HPPOSDgi/CzrdeWWiiY0zr53R6LRlScpGyg/H9Ki9RVa41jPbRHS/5vJVDM7o7fPhJ19bvcU0VXUTXtlOzpz2qR7tfWz/c2Kjz+UcmE27kF/TWmoqeY0hXuMIeL2F10LSGIpiG2CJx2pYLVmdu/5L24orK34d16JFizpeEYaE8en/hyRdEpdu3MM8gqw09ZIvISYfYRqks5d0ZsUbk/asa61OMisfclzKUQhN6iDp7OV+dztX/24J+Xj44Ye7nhPW5QsvvDD9r3WfdR5j64mkE/8fY/Tk/PA+aGKeeet+gJhys+IdtJ3RSNryJOmWMCEavbl+zeVrcFyYF7eCTlLjZJmqOgqLOQsY6RrF7/LwqjacUTt17nhyy97bOioC1VJTsRotdHj6r/O8VyqxDXDYIcR2BLEdXdYxAb+F8enwNNocHTx4MM07/n3dddelx9ERWB2cdSwrTb3kS9MtH3I9yg/fdIVxDGKgsq7V9zLW6IXHizR6ciz2fuedG1NPBzF6UGgsdB5j64k+L5RlXLLugxD7zFv3A/Rj9IpoZzSSNsuAhenW6c2qJ0JeuKOA7tdcPgdndnb2AR928vjWd0xTVTfd8HznCBcmJ1hGqcmyXtXiW7yFsiZeP2oqWQ21RhpW3ThbjW1eA5zVsFoNvia2o8s6FjI2Ntb+YD0rbp22O+64ox23hH/ZZZe106Q7Uasss9LUS74ssvKhO8t//ud/Tv+tf8+KNybtWdfqTjLW6IVlH4YxSDo1MfdbsM6Nqaf91GVMwJF/h4ZB5zG2nsh9RxqkHPFv/QebpluarftklbN1P0BsmWhi47SOWUjaYoyefm66Gbi8cEcB3a+5fA6GC++9zui1187DMiWWsaqbxg4d8ylO0skJllFqsqxXtZhRq28+NV9NJauh1uiGFa+F0PnIdVYDbDXueQ0rjkmDibCXLl1qfiPVzRBlxY/jCE9eaem4rdEO/TtGXiQ86bww4on/hh2NVZZZaeolX0JsPvQ3hZDukLLizUu7pEVfK/nBsV7qgpShxCX3OAxjkHTGlhPodq7+/6x6KqO+eedYdVmXRVYes8rByrNcE4OVL8SFbyXxTZ0OP++Zt+4HiCk3OSbExinnhXUrRK6NMXpAPzd69jHSgW8X5VOWvHBHAd2vuXwOhgvvmlaw7i8pZ54sU1U36YWRR22WLV/VDqamktVQa3SHFEo3wLpxh3RD3K1hDSWNKBrZmI4OZMUv54bS14ZIevV5Oi1QWGZWHrPS1Eu+hNh8hPdLh58Vr5X2MC1h/kPF5Bvosg0laRoknb3c75hzY+ppv3VZrst6VmLrSVjeIvxRoidDaLLSjHhin3nrfggxZaIpop3RSNqsuKx0x9bvvHBHAd2vuXwOxuzs7EofbiPWzsPeu3oCBka+LMPURF2/bcW8V7XY3YKvauPVVPIaag06FmmE0bAuW7YsbWzDzlNm1eE8/CYjJVnx4Hy9jhfCDv+ajunoBCt+hIFRBN2JXHTRRe20WWgDoNOsOy+dHpCXRytNveQLxOZDhx12glnxWmkP06KvxatHec0J6XsmZNUFgFeKOh/hd6GDpjP2fsee262egn7qMkyLrDMnedJ5zCqHMM95JgmyRq6Bvg9hehGH/s165rPqvBBTbpqYOEFe3RIkbbFGD0h9yEtzXrijgO7XXD77x4XVseUZTJRlruokvWbeKC2MfOvOF9LRSc1Dk//VcbOp7iKkTpTRGWWZDjJ85H7DkAiYwSomkveLxKL7NVd3+seF1X5t++b+o6axqpOw964G5sgyTU0TJpJok4dXtV/a842OG03FiZC6oEd3iuzgafTqixg9SxiRsl5tEmKh+zVXf/pHv7ZdtmGXaa7qIqyZh/13hVWHd5mmqWn63judD/7Emf3c4WIAEVIX5PVy+LprUGj06gvuDSYMiMGHYPCwfZj1WpOQLHS/5upRf7hwOl7bLn76NdNg1UUwosLxs6fSSQuWcWqSwpm1b53clfzt7z7bcYOp3kQIIYQ0Hd2vedvWOy6cxsy2xbeD2H9X+MGe9aZxapKwi4cGJo+7XAwuQgghpOnofs3btt7Rr21/tGm3abDqolf2HPIpTZId05OmcWqKMHkEr501609sSD6+46qOG0v1J0IIIaTp6H7N27becGE05rVtOAEDS5BYBqoJumLzY+nizprnjq2iyStQhBBCSNPR/Zq3br3hTN4/+rBq/9pWj+b9/OBvTQPVBMHkYTRS88SRn3fcTGpwEUIIIU1H92veuvWGM3rLfVjJT7a8bRqsOkjvZ4vlR5o6AQOva8ORvP84+HDHjaSKESGEENJ0dL/mrVtvOKN32IeVvhq1TFYdpEfz1h4dN01UE4S0a5a8e2/HTaSKEyGEENJ0dL/mrVs87voPtYJJkuOnz5gGqw7So3mgqd/mhbNrOZJXrgghhJCmo/s1b9/icdd/vRVMko6YWSarDhqF0bxwnTx+k1e+CCGEkKaj+zVv3+KZnZ19yYeT3Ll+u2myhi2sm6dp4mge1vrTYHatvnFUOSKEEEKaju7XvH2Lw1373iYsq/Lk9r0+hc0czfvu+Fqf+hZcJ686EUIIIU1H92vewsXhTN5HfRjJxImTpskatsJdMJo2mnfrzhfSGcLC2Mw2mrwKRQghhDQd3a95CxeHM3p3+jDSUTPLaA1bejSvabtg3LR9ZYfJGz+9h9uaVSxCCCGk6eh+zVu4OJzRe8OHkXxr7VbTaA1T4WjeN3etMg1VHYU1/ibPTPuUJ8nEmf3J3/7usx03iypfhBBCSNPR/Zq3cN1x172/dXmLTz71a9NsDVNNHs3bODXhU54kU+eOJ/+w+6aOG0VVI0IIIaTp6H7N27juuOsub13uTNTh46bRGqb+avmv0nX9hCaN5oXLqHxpzzc6bhLVn67cdV1alt8/8OPkocn/auvRw08mG6d/09aLx36W/H8TVyb/796PUBRFUdRI6P/Z89Hk73Zd3pPRa6+fV8fv85Zt2OVT16zRvC/veM6nugWMiGVaqGzd+M6tyTf2LUnLbtXUmtS89cL3Jz5lPiQURVEU1WTdsffSeKOn18/7zrptptkapjALWGjKaF74XR4MimVkqDlhBvIte29LF49+6+ScuR8E6+GgKIqiqFGQt3HdcUavvb9t3dbPu/nlzT5lSXL87KnkL9982DRWdZP+Lm/y7OH0VaNlbha68PoVo3VYaqYXTp6bSsZPbUxeO/5EsnbqobaeObwkefzgF9vSDwQhhBDSdHS/5m1cPu6a9v62dVw/7+kdc4bp5wd/a5qquonf5WULo3a3TdyVrDn+6+TU7GlfQtkcOjOeGjpt4u7ad1lHRY8VIYQQ0nR0v+atXD6zs7P/6K+t3f624SQMfPNmGas6id/l2cK3diuOPpfOOs4Dxg6jdE9Nfj25Z+ITHRV6UBFCCCFNR/dr3srl44zeA/7adNKDZbiGJXwvKEycmjKNVZ3E7/I6hbUCYXSxbmAWMHYbT6xIVhy+rfSJE2T0uf/++9HwJR/+8IeTEydO+KOdrF69OvnABz6Qnnf++ecn+/dn10/SnTNnziQf//jH0/L8l3/5F3+0XIYRp1BF3N3qcS9p+PznP5+ed/nl7cU1KiHmWWwKwyrDLHS/5tLVHWf0xvy1yQ3PbzQN17D06kT708H0dahlruokfpfXEmbJ5s2OPXp2In0Ve9+7V3dU2LLVD/KAa73nPe9JFi9eXGjjpRuSpjeKw6Rb57Jz5862yZN7uW7dOv9rPZG6YeUprwN64YUXkksvTWfltfOq662UVahey4RGr3ho9OrFsMowC92vuXTl485vL5SMXSfwqtQyXMNQuBPGtVufMs1VXfTd8bU+pS0W4nd5+PYua7YsJk9g5O7hAzd2VNIq1Q/ygFvqtQHDSBKue9/73tcxioRGWzckZTWKWfGPEt06lzqVQWxapG70YvS+8pWvpMctiTHIqttZRi+v/hZpfGLKhUaPRq9KhlWGWeh+zaUrn9nZ2T/21yVjh46ZhmtY0mvnjZ04YJqruuiKzY91vLLFor2WERpVLXn33szXs1unX0pfy+qKOSz1Q/iAa1MGPfLII+nxGIZtMupkcsqCRm8uXDku1+zduzc1gKHRi+2Is9JLo1c8NHr1YlhlmIXu11y68tETMTC71TJcwxKMp/C9d9aZBqsuWn6g/fY7fWWLmaWWIRolIY/YlcIyeBi9w4SKui1W3A/WA65f/0kjG74mg66++up2AyfhaOmRk6yGBHFdfPHFHdcsWbLE/zrX4OP4mjVrkhtuuKF9bi/xj4+Pd6Qf367lvb575plnkgsuuKB9vn4l2K0sgKTnwQcfNDusbvkGyLseuUIcd999d/rvPFOkpc9DusM4b7/99p7SLQxaHzRybl6epN5oA9Ctg80LNyQvvTrOW265Zd490WEXVS5Fxgl6qf9Fx91rPQZhGrKeexDWESGmvoOY8/rJA+hW7t3KT8oBaXr55Zc7ygFtEn5HOqS9zro2r+0EWWUY00712rbGoPs1F2Y+zujd6a+r1USM6559w6cqSU7Nnk0nOVgGqw66ftsKn9IW+D7NMkajJLyihaENgcHDt3dFz5YtSv1gPeCh0ZuZmUnOO++89oOsJdd168CsePTITCgxF7rBtxQTf1b6sxpo+Us9FEY3Y8oCWOmR32PyDawwRFbarfPlvKw8QbHpFoqoDxo5Ny9PEq71R0gWeeGG5KU3tg4WWS5Fxtlr/S8ybmDlWTRoGkBYR0BsfR/kuRBl5aFbuceUX7dysBR7rZU/fSymneq1bsWi+zUXXj7O6K301yVfW73FNF3D0ONb3/GpSpK1R8dNg1UX4bWysP7EBtMYjYr+YfdN5iSL4+cmk5eOLq2twRP1Q/iAo3GQY7qju++++5INGzak5wCM+OAc/fop75WUFY80QvovRIykoSOXMPR5SM/y5cs70qgblKz4xRzo4/hL+pJLLpnXGOmGC2nF74gPf83D6MWWhaQPwu9CbL6tdGiTk9WQWmWQlScZkdBGIyvdmtgyyKsPGh1nlqTe6DLo9llBVri9lB3Q9yyvDhZZLkXG2Uv9B0XG3W89DtMg7ZCkwaqzUkdi6/sg58XkoVu5x5RfVjnIMQjX4Jh1f/otQ31tXjvVa92KRfdrLg35OKO3z1+XTn6wTNcwNDkzt5Du7btXmwarDtITMLD4L4yQZZCaLrymxXeH4QLHYvD6XcC4avWDPOCW8GpAwPA8hv6lcRPpBzyvAwsbEt1QWrIaNT2CY8WVFb+Oa9GiRebrG0HO1Y1gSExZhPkVYvMteQnT0e27oLxyCcPSHZiYpqx0hwxaHzR5dVAk6ZEwoWEYvW51sKhyKTLOXuo/KDJuuabXepyVBp2XrDqbFWdY3wc9r1seYsq9W/lllYP1nIb3Z5AyjG2neq1bseh+zYWdjTu3PeMWixJbhmsYasqWZwtlAgZeRVuvaddNPVr7EbxQ/WB1hnhg8VeioBu+ULrRDxsaTb8NSS+dTl78+C2MT4cn5IUBYsvCaohBbL6z0jGI0QvD6tfoFVEfNBKnlae8emPdP01euBZZ6Y2tg0WWSxlxxtR/UGTcWXmtwuiFcYb1fdDzuuUB4Nqsco8pv6xysJ7TMJ2DlGFsOwXy8tgvul9z4WVT1xm3v/jdXEWp85ZnegIGJiSM2gQMLHaMV9Ehe09vSR488JmOitYU9YPVYIRIAxI+3DimGz/rmJDVkOgwLWI7naxjIWNjY+lf0DjPirtbumLLIqtcY/NtxQMGMXphWDENvkVsGVjHLCTOGKOnO8duBi4vXIus9MbWwSLLpeg4hW71HxQZt3UOqMLohXGG1w56XozRE6xyt8KVY1J+WeVgPaex18aUoZwT5jmPmLoVi+7XXHjZ1HXGbRO2PBv1CRjIT7hVGSZaYK9ZXcGapn6wGowQ3YBs3rw5bUDkOmlU9HnWQx7GoztsHJOGEmEvXbq04zuWmE5HHwvjx3GEh7SD8C92jZUupAHf7eBbldiyyCrX2HzrxlheoetjWZ2LVS76Op2nXtKtiS2DrPsRItdaebLSIx0spGdDIx34llLKKy9ci6z0ItxejE8R5VJknDgntv6DIuPutx7rNEg5WeEDOSZ1JLa+93Ner89iXrnHlJ8uB30vwjyD8P7oa3stw9h2qlse+0X3ay6sbOo44/YLL27yKWq9trVMVh2kJ2Bgc37LLDVRGJV84sjPfc7mwELHTXtNa6kfrAYjRDdqoXRjoR9ySHdkVjy6ww4ljWdWQxc2aiArfjk3lL5Wk5UuxB9bFnnlGpNvIGFYyutc8HuYt7ywunUgIUXUB43EaeXJSo+uE5bk3LxwLbLSG1sHiyyXIuPstf4Xnd+8upd1b2LvMbDqSF6cVn23FHtet2cxVC/ll3UvrDyH92fQMoxpp3qtW7Hofs2Fl00dZ9z+ZMvbPkX1nW37zV2rfApbEzDwitMyTU0T8jE2M7e3MMBki8cPfrGjUjVZ/WA94BZ4oKVRQse0bNmytLMKH2iZlYXz8Jv8pZcVT7heHcIOR2liOh3Bih9h4K9Q3ahedNFF7bRZ4BtFnV+dppiy6Fau3fINkG55FQJh7atNmzalcXfrXMJyATpPUPgtJqiqPmgkTitPWemRe5pXhnnhZpFVf2LrYFHlUmScvdb/ovOL8Hqtx5IGhIn146644or29eFzklVHYuo7iDmv3zx0K/eYe2fdCyvP4f3R14ZrEcaWYbd2KiaP/aD7NRdmNs7otT8yW/z0a6bxqlpv7j/qU5SkM1otozVs7Zie9ClM0tEvyzQ1Tdar2l0n19duweNBRQghhIAsk9gEdL/WcnQZOKM3468xTVfVwj67em/ba8aWm0ZrmApH867cdZ1pnJqirFe1q4/d31GRRkWEEEIIGHmj5877YOv0JJk4cdI0XlVLL6sycWrKNFrD1iiN5sHkhbNq8ar24QM3dlSiURIhhBACFoLR+1Dr9PosraK/z3tu8i3TaA1TozSa99c7F8/7Hm/7zJqRmHCRJ0IIIaTp6H7N27r5uPPaXxS+PH7ANF5Vq+7f5716bI9PXbNH8zDp4q2Tu3xOWmB/Wl1xRlWEEEJI09H9mrd185mdnf2cPz/dV9YyXlXqk0/9uuP7POw6YZmtYUmvm9fk0Txs0YbFnTW/OHJXR6UZZRFCCCFNR/dr3tbNR6+hd8/rO0zzVaW+tXarT02Sfgdnma1hCku9CE0dzfunt7/cMbP2zOypZMXh2zoqzKiLEEIIaTq6X/O2bj7O6C3359diDb0nt+/1qUnSrcUsszUsjcJo3i17b0vTLmCXi58d+mpHZVkIIoQQQpqO7te8rZuPM3pv+POT6559wzRfVWrH4bmRJkx6sAzXsKRH85q4C8aN79w6z+Q1da/aQUVIHWny7L9YZBeBXhZnbhKjnj9SL3S/Bk9n4ozePn9+un6dZb6qEr7PE07Nnk3+8s2HTcM1DIV72uL1p2Wm6ip8k6df1x49O5Hc9+7VHZVkIYmQOkKj13xo9EiV6H4Nns7En5tima8qpb/P2zg1YRquYQmvkYWmjeZhdq2eeIGRvIVs8iBCysLa/ioWGr0Wg5RhLGXFQaNHqkT3a67e2fhza7FYsv4+7z8nNpqGa1iaPDPtU5ak37lZhqqOwjp546fnloPBxIuF+rpWi5CyoNHLh0aPkOLQ/Zqrdzb+3PTbOMt8VSn9fd6XdzxnGq5h6NadL/hUJcnk2cOmoaqjsOOFXicPJm8hTrywREgZyIbnWtjcfN26denvL7zwQnLppZd2/I5N38UQWEZv586d7Y3QZQN5HLv44ovbYSCOJUuWpL8BCQfH16xZM2+T+TwDEpvGmLBx7le+8pWO3+++++7031lGqFsZgm75B+Pj4x35OP/889thFBVHP/kjpEh0v+bqnY0/N12k2DJfVaqu6+etOjxnlh49/KRpquoma1uzhbaESp4IKYM8AzEzM5Ocd955836HLr+8tW59aPT0NWIcZCTKkphDHY4liS+k1zRa0mFb5SHq1+jF5D8rHxJnEXGAfvJHSJHofs3VOxt/7tB3xcCMX6FO+9tiQggmhghNmYSx4uhzPsUtXjq6tKNCLHQRUhZZrwRhkO67775kw4a5P8AwQqfPDY2eGAkxDfp3Pbr0zDPPpKN+VjgwMMuXL0+PheGF9JrGvLC12YL5wzE9OplnhPLKMCb/Eo++HiOVl1xySTvOQeMYJH+EFIXu11y9s/HnJk/vmDANWFXSEzGwjIlluoYhbMEm4DWoZarqpm/s63y9sFC2NetFhJRFloEAeJ2IV51iBkRyrjYZF1544bxwtJGwJKNSOhw9ApWXNqGXNOaFLf+vR8rAIN/oxeZfn7do0aLk9ttvnxfXoHEMkj9CikL3a67e2fhzk59seds0YFXpR5t2+5QkyWPvbjZN1zCk97X9j4MPm8aqTsIMW72MyvaZNR0VgWqJkLLIMhB5r0UtEyVGD3rkkUfSMMo2er2mMcbohXFVYfQAwgjPjSmLXo1eP/kjpCh0v+bqnY0/N1m2YZdpwKrSK3sO+ZQkye27V5umq2p9+jc/9SlqUfedMPBd3tjMNp/a1lp590x8oqMiUC0RUhZZBkCOh2ZEn6tN1C233NL+t5gGMSHhKFJIv0av1zQOa0SvW/41Y2Nj7QkjefkSYuMYJH+EFIXu11y9s/HnJneu324asKr09rG55UuwOLFlvKrWA/te9ylKko3TvzHNVZ2EvXcFzLB9+MCNHZWAmhMhZZFlALSx2Lx5c2qY5Lu2LBOlR5fw/9Z3YQDXLV26tP0N2qBGr5c0CmHYOu2LFy9Oz9HHYoxeWIax+cf1+DfyAPR1Mjo6aByD5I+QotD9mqt3Nv7c5OaXN5sGrAphRw5NXXbE2DE96VOUJEvevdc0V3VR+F0eJ1/ki5CyCF9/ipHQJiBUnomSESIJR/7fkpiLWDMW0m8agRW2mERLeUYoqwxBTP4lLaF02gaNA/SbP0KKQvdrrt7Z+HOHavT0jNvxk0dN01W1rt36lE8RtmM7nb4WtQxWHcTv8noXIWUiMzTRxMJcyMgSDIgch7FYtmxZajbyTBQMiaznhhEmgPAvuOCC9JiEhVElMRb9Gj3QTxqBFTbODdfZ27RpUxp+NyOUVYYgJv8YfZProYsuuqgjDDBIHGCQ/BFSBLpfc3XQxp87VKP3tdVbfCqSdPKDZbyqFnbmEFZNrTENVl2k18vjd3lxIoQQQpqO7te8rZuPP3eoRu+e13f4VCTJzw/+1jReVQt77Qp1fm0bvrLld3lxIoQQQpqO7te8rZuPP3eoRu/xre/4VCTJD/asN41XlQoXScarUctkDVt4nYwt2YTXjj/RcdOpbBFCCCFNR/dr3tbNx5+bLH76NdOEVSHsyiF8c9cq03xVKeyzK0yc2W+arDpIz7I9fm4yuWvfZR03ncoWIYQQ0nR0v+Zt3Xz8uUM1emOHjvlU1GNpFf19HsyUZbKGLWzFhkkiAvex7U2EEEJI09H9mrd18/HnDtXoTc7MGZYrNj9mmq8qpb/PwzdwltEatrCunzB+amPHzaa6ixBCCGk6ul/ztm4+/tyhGT29ht7xs6dM41Wlwu/z/nrnYtNoDVO3TdzlU5ekCyM/sP/vO2421V2EEEJI09H9mrd18/HnDs3oIV6hDmvo6e/z3jq5yzRaw1Q4AWPd1KMdN3oh6753r04eP/jFdLHotVMPpdo8/Ww64gntmX48OXDkimTy8EcoiqIoaiQ0PvmR5Kl3I4zeVSvWm0asbH3hxU0+BUn6ytQyX1Wq7t/nff/Aj33qWmvmLdQJGFhGZvWx+5NdJ9cn+0+/5UsknyNHP2U+JBRFURTVZB1w8rZuPr4PHNqI3rfWbvUpSJJVh3eZ5qtK1fn7vHA0byFtc4bX08gvdv04eW7Kl0BvWA8HRVEURY2CvK2bj+8Dh2b07ly/3adg+Isl6+/zMKO1bt/n6dG8hbCcCnb4+MWRu5K9p+d2TsnjnCuTM2c2JidPPpHMzDyUnJi+Kzk29cVUp0492/FAEEIIIU1H92ve1s3Hnzs0o/eTLW/7FCTpa1PLgFUl/X0eZrVaZmtYWkijeT879NVk6/RL6USTLM6dm0jN2/ETS5yRu7GjsluC8dP/TwghhDQd3a95Wzcff+7QjN6T2/f6FCTJ995ZZxqwqvTAvtd9SpLk0cNPmoZrWNIzbUd1NA9rAeZ9b3fq1EupsTty9OqOyh0jGr3RIWtT/VGlivyuXr26vbn/+eefn+zfv9//Qsh8du7cmdaX97znPcm6dev8UZLH/fffnz5fH/7wh5MTJ074o4Oj+zUXvo0/N50UYRmxsvWL3801KN8dX2sasKqEbwSFuu1vixnAwiiN5sGwPnN4STqxxOLs2bfSV7CHj3yio0L3qjKM3uc///n0wdVCw7d48eJCH2SJ5/LLLy803DrRSx5p9IpFOm2ED+V13i+88EJy8cUXt89dtGhR8uCDD/pfSVmE90iraOMQA/4wQNzve9/72n8U6DQ+8sgj6TFhIbRh3aiF0RvWXrdv7j/qU5Ckr04tA1aVxk7MbcV24zu3moZrGMKkEGGURvMwgof8hMzOnkq/szt67O87KvEgqsroiXp9mK2GE6CTr6KRzIq/CrLymFcmo2j0hpXf2HsvHVWoYdSZhYbcI0t4ZqpGP6/CM888kx5DfdB/KBTdhlXRVpURB42eZ9hGDws2C3WaiKFH8147/oRpmpokzKDFunYhmEwBQzbo6J2lMo2eNHa6QYPCv2rzqKLxymPY8VtkpYlGr1hi7r0erZHOGum6++670xFsUi7Srgxj9C5k2M9fFW1VGXHQ6HmGafQ+/Zuf+lS4gjt72DRcwxD2tBUwOeH7E58yzVMThJFILPAcTrKAwTsxvdQZvMs6Km2RqsLoAd0hSiOI112XXnppekx09dVXtx92bQ5F+vWZFQ9AXPo1Gq5ZsmRu9FcaZBxfs2ZNcsMNN7TP7SX+8fHxjvTjGy7r1Z6VzpmZmeS8885Lj2vjG56b9f9akibd0dxyyy3JV77ylfY5Ol8huE6XgVYYL15HWp1Z+OoSabr99tvnlWWvZVBGfkFserWsjkg6PqiXP2BCwnuA9MMs4t9SZt3KS9In56Ez/tWvftXOp1yDuFBW+pWn/qwiNh6A0SoJB2Won7OQbmUOJI6seqbR91/Xq34IywRp06/e8fvSpUs7yix83q1yyypLQfIr6Zc8If68tinEqq8IQ6evW7sI8tq0IuKQcpbfdT1fkEbv7WPTPgVJcu3Wp0wTVoVu3fmCT0W9Ztxi0WYBM1EtA9UEPXjgM8mhM+M+J3PMzDxaygheqGEZPd0AhpLrujUsVjy64w0lHYbuICzFxJ+V/jwzoP8K1um00iXHwjzmpSk2X5pBykJ+y3p1Cck5/ZZB0fkFMem14rXura7X6BQ3b97sf4kn71mApGwkLv0MWHVGzsN3gpI2XW91R6zVazxWOeprNDFlDvLqWYguN0lTP2TVI6mrefVM59cqN+uYRvIreey3Tuc9JyCmXezWphURhxWGaKhG7zvrtplGrGxNnDjpU5Ak14wtN01YFfrBnvU+FUmy4uhzpukahvSSKlh2xDJRdRfWwgtH8c6c2ZIcPfaZjkpapqp+dSsNA47dd999yYYNG9JzAP6CxjmWGdDHBCseaST1X5Ey6mA13EjP8uXLO9KoG5ys+KUB18cxYnHJJZfkmgH5q153fBKf1SmEeQRZaeolX4LOh5gUSZuOU8KA9EiH7hxwPsJHnPJXuuRlkDIoMr+x6QV5dU+jywbqddKRXG/dA50eOabTo/Mj5SrphsIykLgkjboM5X7HxKOv0wbxoosumldWvZR5Vj2z0HVKS4cXgy5r1CGANkNevUua9O86bsm/VV/kmFUXgYQtZa/LVeLDMTkvKxwQ85zktYuSJ3192KYNEsfu3bvn1QNdjnl56wfdr7nwbfy56cLFlhErW3UxelisWcDCxJbpqlq37L3Np6g1CcMyUXUWFjzGKKQGEy0wi1ZXzipUptGzpL9bwmsCvJqQB12kG5GshgWEjWRWwy+SDkA3SnokIK+hDuPXcWHkJHwFpQnj0/8PSbokLt3ghXkEMY1tt3wJunGPMXr6GJCwJQ9CN2PQSxkUmd/Y9IK8cEJgSnTdC8spCyteYMVt3QO5fzo/llEDOi5LEn9MPLrscQz5z6r/vZR5Vj2zkHBDxdwvQadB1yEh63er7llp75af8Pd+6rSQdU5suxjTpg0Sxx133NH+t64HUl+HavSwcLFlxMpWXYzeq8f2+FQkqcGyjFfVWjW1xqeoeZMw7nv36nmvas+eHS90Jm0vqsrohctN5HU6uhHJa+DCRjK2QeulMc2LH7+F8VmdBdCN2cGDB9O849/XXXddehwdXWxHkZWmfjoJfU0obTysdICssK1OvN8yKDK/vaQ3LxwLnZ6wM8siK46w84vNqz4v615pIZ34TkpMfi9lGj5vWesMZuXRKvOsemYh50oZ9YOkLet+Zf0eGkCr3LLKUhPmt5fyD8k6J7ZdBAgjr00bJA4xeuG1tTB6j299xzRiZasuRm/yzNy3glfuus40XlUKs36xDZuAb9wsQ1VHIa3hfrQnT64odbJFN1X1jV6I1YBajUhWwwLCeKSxyWq0hV4a07z4hbGxsfZH01lx67RJg4e4JfzLLrusnaZuBisrTf10EtJhIV3SUOPf4WuzrHsqYYf51g2/5KffMigyv72kNy+cLKTTCsPPQs7XcWgTIeVtmSKdf+kkrfOEmA41Nh6NnpCh74PQS5nHtB1Ap6nbuXlY5a/J+j3Mk1VuefdCCPPbT50Wss7Rz11MnQRZbdogcWTVg5h62Q+6X3Ph2/hz04WLLSNWtrTRw8xXy4SVrSs2P+ZT0Nrj1jJeVevu/T/0KUrS3SIsQ1VH4TtCbfLwqvb4ids6KuMwNGyjhwYDowlo4OQ63YhkNQ4gjEc3rDgmjQbCxow5+dakl8Y0K34cR3gyEtKtUde/X3jhhe3wpIGUD+fDBtQqy6w09dNJyG959wpk3VPdWUuZZ93LfsugyPz2kt68cHANOkL9egufIkj+YjutMG8IQ/IESV3S6cYxnXdI8i/nhWUFtGmRehsSE4/kXf4YwH2VCR76Pgi9lHlWPQvp9rzFYtUtpPf6669P06l/l/yG+dHHwnCy7oUQ5leXd2ydFqy8AF1WUv4Acel2Edd3a9MGiWPTpk3tcpNPeHRZDtXovbLnkGnEylYdRvRu2r7SpyBJ16yzjFfVwsxfYfWx+01TVTdhAWQ96WJ2dipqH9oqNCyjpx/wULox0w0IpBsYKx7pzCxJQ9JLY5oVv5wbKq8hlvTq83RaoLDMrDxmpamfTiIMSwTTpT+qzrunOl+hwo6/nzIoMr8gNr39lBuk6yjCyOvsrecA54bXWPHh9wsuuCD9d9gRW2nOe+bk+ph4svKeVd4gtszz6pkmLy/ynHcre5AVjsSfd5/1q2qr3PPuhRDmt986DcK06nzHtIsSRygd56Bx5NWDoRo9rGdnGbGyVQejh63XBHwXZxmvKoXXtpomrJ2Hbcw0585NDO17PEvDMnpAGmKciwZj2bJlaSMSNmb61RB+k784s+LB+dIxSdh6JmSvjakVP8II19XCjMOskRKgG1KdZt1A6vSAvDxaaeq1k8jrMCExAN3uKUY7dDjhN5lCP2UAisqvEJPebuFgRqJecwz1TH/vBiRfWd+vAZ0WXI+17/D/Ybz6PISHGevIv+5su90n69lAnL3Gg3qjl2npVvdBTJn30nZIOKHk2piyB7puQSgPbTgwyhquDafbE2ClOyYv4TmD1GlgPSeCde/DdjGmTRs0DnklDKGsZaRvqEYP69lZRqxs1c3oPXdslWm+qpTe8qwJr23xulaP5GF/2iNHr+6ogMNWGUaPNAfpaORVCtAdm2W6CCGk7uh+LTV1Fv7c1HBZRqxs6QWTh2X06raGnl4kue6zbR8+cOM8k1fFAsi9ikZvYSNGz5IewSGEkCah+zXXntn4c1MsI1a29BZowzJ6/zkxt+/qQ5P/ZZqvKqX3tn1q8uumwaqDwtm1eF1bt5E8EY3ewgavUsLtsGDwwleQhBDSJHS/lpo6i9nZ2X3+/OSTT/3aNGNlqg573dbJ6Onv8zBShkWHLZM1bOG7QSziLGDiRV1NHkSjRwghZNTQ/Zq3dfNxRu8Vf35yw/MbTTNWpupg9PSuGFjWxDJgVUl/nzd+aqNpsuogpE2AyatyO7N+RKNHCCFk1ND9mrd183FGr7WpneNba7eaZqxMvToxt5frsIzec5Nv+RQkyZJ37zUNWFXS3+etnXrINFnDFtKlmTr+9Y7KVkfR6BFCCBk1dL/mbd18nNG705+fLNuwyzRjZQoLNQu3715tGrGyterw3Ddxt03cZRqwqqS/z3v84BdNozVMIU2akyef6KhodRWNHiGEkFFD92ve1s3HGb3P+fOTJ7fvNc1YmcLWawKWObGMWNnaODXhU5AkX9rzDdOAVaHw+7y79l1mmq1hKfwu78yZjR2VrM6i0SOEEDJq6H7N27r5uPPaqxwOY3eMn2x528eepJMiLCNWtupi9G5851afiiTZe3qLabaGqc3Tz/rUYYbtZHLk6Kc6KlmdRaNXb7IWULWIWaC1DGRh2qIXPB0GVZZh7CK4o1S+TUV2hOCSQ81B92vu+bFx532odXqS7Dh83DRjZerO9dt97Emy/MCYacTK1vjJuQkhf/u7z5omrArp/W1hqiyzNSxhvTzN1PGvdlSwuotGr97Q6FVLlWUocXW7r6NSvrpsm5iPYT1fpD90v+bum4077/2t05Pk+OkzphkrU5gAImBShGXEytbEqbm14IZp9PREjDrtb4tXyNihQzh16qWOytUE0ejVGxq9aqmqDHsZIRqF8kU9LtvoxY6Q9otsF1hW+KRYdL/m6kU2s7OzM/6aytfSu/nlucVK8QrVMmJlqy5Gb83xX/tU1Guh5JeOLvWpwlIqpxr1ylZEo1dvaPSqpaoy7MWUjFL5lknZRk9v6C97QJP6ovs1d8+ycUZvzF+TXPfsG6YhK0uLn37Nx5wkO6YnTSNWtupi9MZP7/GpSJIH9v+9abqqFiZg6C3OTkwv7ahYTRGNXr3RRu+WW26ZtyG47vizTAo23w83Zb/99tvnmYaY85Ae7KQh5yANd999d/rvPCOC/XMvvfTS9nXYaF6PZCFu/Tuk8yflgDS9/PLLHeWAfXrxO9IhO3xkXbtmzZq+yjDcxB9hLVkyt7Yn6JZHTVY8vZRvtzT1km/Q7f4Pcg9AmOde0tetfkjYWgg3rGPd6reE8+CDD6Zpw7/1H1hZ943UD92vuXuWjV5L7zvrtpmGrCxdtWJun1kYLsuIla06GL2P77jKp8A1DM5YWaZrGMJeuwL2sdWVqkmi0as30hm65siU7nCsTkhGgyz1c57VoYqyjJ4eCbHOz/odkri7lYOl2Gut/OljMlJkSUxAtzxqdHrCUdrY8o1JUy/5jrn/g9wDEJZtbPpi6odVbtroDVK/9e8cXW0Oul9z9ywbZ/S+7a9JlzuxDFmZOnX2nI89MY1Y2arDrNt/evvLPgVJcujMuGm6qha+zdPLqTRhYeQs0ejVG90ZSseFY9Ih6c4s7Eh1B4lj6JhwrYwQybWDnCffLeFYVudnfduE0ZVLLrmkHdd9992XbNiwIf0NYEQFYco1WeWgjQKuwTEpB0lP1rUxZaiv1aNlzzzzTEeeuuVRo8PURi+2fGPTFOZ7+fLlHfmW8GLvfxheL/cA5JVtXvpwrFv9AFmvbmPzByRuCHGEiNEL4yD1Q/dr7p5l44zelf6aoSyx8vaxaR97klwzttw0Y2WqDkYPCzUL22fWmMaraulv85o8mgfR6NUb3RlqU6ANgHwvFHak0vHpjgzojg/XDnpet1EOndZFixaZr43x2hOv7uQ8kWVadDmEeQZhhz9IGepzLElZxORRCMtViC3f2DRl5Tssn9j7P8g9AOF5sekD3eoHsK4DsfkDVl40WXGQ+qH7NXfPsnHntpdYgemyzFiZGvY2aHpnDOw1axmxsvXQ5H/5FCTJuqlHTeNVpcLRvOMnbuuoUE0TjV69GcSkZHVKWQau3/NiXmfh2rCTlvzoeEJJXIOYjEHKMNZUgbw8aiyDAWLLtyyjF8YbpnOQewDC82LTF1M/rOuE2PwBKy+arLBI/dD9mrtn2bhz39u6pEXVM2/1NmjD2B2jDnvdPnr4SZ+Ceuxx+4sjcyOMWBz58JHLOipU00SjV28GMSnSKYUjGeG1g54XY/SEsbGx9kf3Eo4VbtihDmIyBilDOSfMcx5WHjXdDE638o1NU6yRyoo3LJ9B7gEIzxskfVb41jFgXQ9i7n+I3IswDlI/dL/m7lk+s7Ozb/jrki+8uMk0ZGVp2Ltj/Pzgb33swzN6zx1b5VOQJM8cXmKaryqFnTmEps601aLRqze6M5SOCsekQ8rrSHVHhmMwCda1/ZyHWZZhHFlGDx0tvlXbvLm1ZFQ4kqI7aJxjxa3LoVeToa/ttQx1WqVsAK5funRp+xu8bnnUZOUltnxj05QVT1g+sfc/K7yYewDC82LTp/8/q37o6/IMXV7+gJUXTS9/1JDhovs1d8/ycUav/ZTe8/oO05CVJb07xjAWTYa5FPAK1TJiZatORg9LuwhNXTcvFI1evdGdoSXdIVmdlByzZHXWlmLPyzN61vnSweqOOOucQUzGoGUonbslyXO3PIZIPGGZxZZvTJqyyiwsH5AXr1w7yD0A4Xmx6YupH0AbYEgbvpj8ASsvmm6/k/qg+zV3z/Jx59/cuixJnty+1zRkZWnYiybXwejVabFkfCMonD69pqMiNVU0evVGOkN0Wli77Iorrmh3UBj1sUxC2Alh9qDuKDFZwJpRGHMe0hOud7Zp06b0uiyjh2sw0qTDvuiii9qjXwCdu/yOvC5btizttKUjH8Rk6GvDtQhjyxAzWi+44IL2dUijvjYmjxrLCIFeyjcmTTFGSuh2/we5ByA8r5f04Vhe/RBk5rFcr8s/pn5n3X+QN0pL6ofu19w9y8ed377jmBxhGbKypBdNnjwzbZqxMoXvAgVsQ2YZsbK1cfo3PgVJ8vjBL5oGrCqN0iQMEY0eGXWyDMUwoWloHlkGmdQT3a/By+Xizl/Uumw4e94iTuGKzY+ZhqwsaaOHV6iWEStbdTF6Pzv0VZ8KvLadavwkDBGNHhl16mj0QN7oEakfvF/NQvdr8HJdmZ2dba9zUvVWaGOHjvmYk+TWnS+YhqwsIT5hWEZv4szcX073vXu1acKqkN4J49SpZzsqUZNFo0dGnboaPY4QNQcZgcVrYz3Rg9QX3a+lRq4bzui1t0LDBAnLkJWlp3fMLVr8gz3rTUNWlm7avtLHnCRjM9tMI1a26mL09p+eW2qmyTthhKLRI4QQMmrofs1buXzcNV9vXZqka9tZhqwsLdswt2hx1TNv8apYmDp33DRiZasORu+eiU/4FLQ4fOQTHZWoyaLRI4QQMmrofs1buXzcNRe3Lk2SHYePm4asLGHtPmHH9KRpyMrU8bOnfOxJcuWu60wzVqbqYPQw21c4c2ZjRwVqumj0CCGEjBq6X/NWLh93zftbl7aococMxCWcmj1rmrEyNXbigI89SW5851bTjJWpOhg9/X1eaIyaLho9Qggho4bu17yV647eIeNba7eapqwsTc6c9jEnyfXbVpiGrCzp3THu3v9D04yVKT3r9uEDN5pGrGzp7/OOTd3YUYGapiNHr06/MYTBg86d25OOUmKCCRaAJoQQQpqO7ve8jeuOM3pL/fXp1mSWIStLr+w55GOufkLGA/te9zEPZy29OiyvcvLclE9BM7/PO3rsM6mpO3t23OfCZnrmfv8vQgghpLnoPtDbuO64665pXZ4kb+4/ahqysqQnZKw9Om4asrL0zV1zW5CtP7HBNGNlSu+MgbXsLCNWpr4/MTfKde7cZEflqbuwF++5c3OztrM4u3t9cvKhq5OZez9CURRFUSOh6R9/JDn6Wm9Gr71w8qmz55K/Wv4r05SVoRuen9uKDJMjLENWlq7d+pSPOUnGT+8xzViZGvZet3hdLJw5s8U0VHUTdu3INHiu/pzd/lJyZv1DyZlX7k/Ojj2bnPzRp8yHhKIoiqKarOnv92D0gF44GfvQWqasLOkdMqr8Tu8v33zYx9ri4zuuMg1ZWVpx9Dkf83CMHuIUTp5cYRqruujosb9Pzp6d+55QmD0xmZzdvCI5vfLr8x4CGL7wGEVRFEWNiryFi8MZvQd831n5d3ovj8/Nfq36O73xk0d9zEnyT29/2TRkZemhyf/yMSfJ6mP3m2asTK2betTH3vqGzTJYddDU8a+mW7NpZk9OpUbu5P2fMCs/FBo9QgghpOnofs1buDjctUP7Tg87cghVf6eH+ITbJu4yDVlZ0kZv7dRDphkrU5unn/WxJ8nxE0tMkzVs4Vu8Ds6eSs5sfCLqlSyNHiGEkFFD92vewsXhrv1gK4jqv9Nb/PRrPubqv9NbfmDMx5wk/3HwYdOQlSUYS2Hr9EumGStT2uhh1MwyWsMUlkXR4DXtqcc/01HJ80SjRwghZNTQ/Zq3cPEMcz29iRMnfczVfqf33fG1PtYknQVrGbKyhEWaBaxnZ5mxMrXr5HofO9bQ+6JptoalcCTv3MSWnidW0Og1h7puzl8WVeR39erVyQc+8IE0jvPPPz/Zv39ugXZCSDw7d+5Mn6X3vOc9ybp16/zR4aH7NXi3nnBG704fTvLk9r2mIStL2GdXwPp2likrQ9eMLfexVr/n7V/vXOxjdg3/7CnTjJWp8VNzM54x2cEyXMMQRhc1Z3euSWZ+cFlH5Y5RP0bv85//fNoxauHhXrx4cXLixAl/1uBIPJdffnmh4daJXvJIo1cs0jEhfGhYHdQo1PMXXnghufjii9tluWjRouTBBx/0v5IyCOuv1oc//OHK6xL+aELc73vf+9p/MOk0PvLII+kxoex6r/s1F09vuOuHtu+t/k5v49SEacrK0sSpuQ/9q94KbfJse7Jz5dug6V0xsKuEZbqqFgynnniBkbx+TB5UlNET9drAWI0DQCdfRQeYFX8VZOUxr0xG0egNK7/DvPdCP/W8qnTHxnP//fen54UaZrkuBOT+WEJdqhpdj4VnnnkmPYa6oP+IqqJ91/2ai6c33PXvnZ2dnWkFlSRXrVhvmrIypL/Tw763WPrEMmVl6LnJOcODCRKWIStLeneMqhdNPnp2bj26uhg9vYTK7LGJgdbBG8ToyQOtH1oo/Mstj2F3tnXo7EOy0kSjVyx1vPcxVJXumHj0iI102Lhvd999dzrCT8pD2txhjN6F1LFt0v2aS1fvOKO30oeVjrJZpqws6e/0vrzjOdOUlSH9nR6Ml2XIypJeS++lo0tNQ1aW6mb0TkzPTU7B7NpeJl5YKsLoAd3gy4OO1zmXXnppekx09dVXtxslbQ5F+vWZFQ9AXPo1Ea5ZsmRuvUNpdHB8zZo1yQ033NA+t5f4x8fHO9KPb7isV3tWOmdmZpLzzjsvPa6Nb3hu1v9rSZp0Y3rLLbckX/nKV9rn6HyF4DpdBlphvHjdZjXY4as5pOn222+fV5a9lkEZ+QWx6dWyOsxu5dKtLoJu9cgqu6xr8soLdHvmino2BDGDUC9/4IWEdRRpgVnEv6VcutUnuX9yHgzqr371q/b9kWsQF+qSfu2pPzuJjQdgxErCse690K0+Agk/q65p9LOh600/hOWBtOnX7vh96dKlHeUV1mGrzLLKUZD8SvolT93qZiy6X3Nh9I4zep/zYaXr21mGrCzp7/T+c2KjacrKkP5O79Ts6UoXTv7+gR/7mJ3JPLHCNGRlqU7f6B0+clm6DZuAJVR0Ze5HZRk9/ZCHkuskHC3dmVjx6I4llDSKuhG0FBN/VvotM2CNfOh0WumSY2Ee89IUmy/NIGUhv2W9moPknH7LoOj8gpj0WvHmGT2tMM+WJL8x9UjikHDzrrnuuuvmHe9WZyEJe5D6oJ9NQT/36Pw3b97sf4knL92QlKXEpdMR1icg5+E7QUmbLiNtuLR6jceqZ1YZxdRHkFfXQnSZSXr6Ias+yHOcV190Xq0ys45pwnofWzdj0f2au753XBh/2Aqq+mVWvrNum495uN/pfWnPN0xTVoZu2XubjzVJ9p7eYhqysqSN3rBn3epZtlgMuYity4p+dSsPNY7dd999yYYNG9JzAP5KxDmWGdDHhLyGQP/lLH9VW40T0rN8+fKONOpONit+aaT0cfxVfskll8wzA3IuwpG/XHXjLvFZDV+YR5CVpl7yJeh8SCcsadNxShiQ/mtedyg4H+EjThltkbwMUgZF5jc2vSCv7glZ5aLTllcXdfln1aOwDnS7Jq+8uj1zvZRpTPkAXUZQr5Oy5HrEE9ZRfb/kmE6Pvt9S7yTdUFhHJC5Joy4PKf+YePR12iBedNFFHWXVS33U5ajrmoV+3rR0eDHockZdAKjD8tpd0qR/13FL3q26Ises5xRI2FLuvdTNGHS/5q7vD73MytdWbzFNWRn65FNzm/zjO70rNj9mmrIyNKzv9P5h900+1iQ5eW7KNGRlCWv3CcM2eh2jeb9c2lGR+1XRkzH0dzl4/YTh97BBshoDfUwIG4Ksxk0kjZzVCIO8xiiMX8eFkYHwNYsmjE//PyTpshq+MI8gK0295EuQfOC3GKOnjwEJW/IgdOv4eimDIvMbm16QF46QVS6xdTGmHuXVc+uavHR3e+Z6KdOY8hFgTHScYXllYd0XYMVt3QspK32/LaMGdFyWJP6YeHQ54hjyb7UPko+Y+phV1ywk3FAx90rQadB1Qcj63apDVtq75Sf8vZ/nPQ/dr7nr+8OF8/VWcEn6OtUyZWVp7NAxH3OSfO+ddaYpK0O3717tY63+Oz0s6yI8eOAzpikrQ3XZGQMmU8CiyP3Osg1VlNELl1PIa1T1A5v3EIcNQWznWlRnht/C+KwGEUjnAgNz8ODBNO/4t7xqQ2Me2xhmpamfhlBfE0p3rFY6QFbYVkfVbxkUmd9e0psXjpBVLrF1ESCevHqUVSZZ18TkMZScW9SzYaHDDo1NFllx6LoEAxWbbn1eVl3WQjrx/Zf8EdRL+YR1AK+uw3LKyp9VH7PqmoWcK+XTD5K2rHuV9btOO8rIKrOsctSE+e2l7GPQ/Zq7vj9cOItawTkDcPpMpa9vl23Y5WNOkrETB0xTVoYweihU/Z0eFmoWqpyQgW8CBbw6tUxYFZqZmdtzt4hv80RFfaMXYjUS1gOb9xCH8Vh/vVv00mDENCJjY2PtD4Oz4tZpu+OOO9pxS/iXXXZZO03dDFZWmvppCKVRRrqkU8K/w1dDWfdUwg7zrTs5yU+/ZVBkfntJb144Qla5xNZFTVY9ynuerGuy0m3lPTy36GcjRAxabLlYo2/aSEiZWMZI50UMj3WeEJpHi9h4NHpChi5TYN0TYNXHvHqg0enpdm4eVtlrsn4P82SVWd59EML89vO856H7NXd9/8zOzrYdV5Wvb7GkC74NFDBRwjJmZWjH9Nzrwyq/01vy7r0+1iTZPrPGNGVlCKZSOHnyCdOEVaFz5+Zm/5568osdlXgQlW308HDir2U8xHKdfmCzGkIQxqMbDxyTBhdhY1aYfMPUS4ORFT+OIzz5S79bw6V/v/DCC9vhSYMuH4aHjZVVlllp6qchlN/y7hXIuqe6Q5Iyz7qX/ZZBkfntJb154QhZ5RJbFxFHt3oUxtHtmqzy0vnJeuZ6KdOseADCgQHVr5Xx2ljSGTvSFMaBMCR9kJRRaIx0PiDJi5xnpVkbFynbkJh4JO/yxxLuj0zw0GUKeqmPWXUtxKpD/WDdX6T3+uuvb9dd+V3yGuZHHwvDyboPQphfXdaxz3seul9z1/ePM3rf9mFW/vr2lT2HfMzVzr7V+94+evhJ05SVob/93Wd9rNV+p/fUZPsNfXL69HrThJUtzPYVMAlDV+BBVZbR0w1CKP3A6kYL0g2DFY801pakc+mlwciKX84NldfYSHr1eWFHEZaZlcesNPXTEIZhiWC69CSCvHuq8xUq7Nj6KYMi8wti0xvTgeSVS0xdjKlHYRzdrskqr5hnrohnw/pNS5+HcPM6fCvNODe8xooPv19wwQXpv8Xw5N3TvPKR62Piycq7FSeIrY95dU2Tlw9d7/LKHWSFI/Hn3WP9mtoq87z7IIT57fd5z0L3a+76/nFG7499mMnkzGnTkJUl7LMrYDasZcrK0K07X/CxunjP7DdNWVlCfEJV3+k9sH/OZGFUzTJiZUuvnXd27NmOCjyoyjJ6QBobnIsGZ9myZWnDET6w+tUHfpO/trPiwfnS8ErYeqZfrw2GFT/CCNeOwoy6rJEAIOFDOs3aEOj0gLw8WmnqtSHM6xQg6eC63VP8Ra/DCb/JFPopA1BUfoWY9MaE061cYupit3oUxhFzjVVeAHmS49Yz12uZZsUDwjX7EJ/+3g3Ifbe+XxP0vcL1WPsO/x+mRZ+H8DC7GHlBvGJm+rlfiLPXePBc6WVaurUNMfWxW9oF/YyFkmtjyh3o+wuF69VhhDVc/0/Xb2ClOyYvVr3v93m30P2au34w9Ovbm1/ebJqyMoRvAmEuhaoWT8ZuHJNnpn2s1b6+fe7YKh9rdd/p3bXvMh9jC6xlZ5mxMjUz85CP3T0Mr9zfUYEHVT9GjzQHaUzD2dBZr5oIIWQU0P1aatYGwRm99kdcVb++fXrH3HdbWPrEMmZl6OcHf+tjTdJdKyxTVoaG9Z2e3h3j6LHPmGasTJ06NTfz9/SLSzoq8KCi0RttxOhZ0iMUhBAySuh+zbV3g6Ff31a9ePIXXtzkY06S42dPVbb37U3b2zvApcueVDX7NvxOD6NtljErWjCVwjBm3uLbQKHIiRgQjd5og9ch4XZP8roq71UTIYQ0Gd2vpWZtUJzZa89QqHrv27ePzb1GxTp3ljErQ+Mnj/pYk+S2ibtMY1aG9Hd6mChhGbOipWfenj69xjRjZers2bmFqk8+dHVHBR5UNHqEEEJGDd2veas2GM7otfe+fXP/UdOQlaUfbdrtY06SV4/tMU1ZGcJMXwFr3FmmrAxhRw6hqte3mPghzM5OmWasTOmlVWj0CCGEkHx0v+at2mC4MD/ozN5MK/gkWfz0a6YpK0NYU0/z6d/81DRmRQtr9wlYPPnKXdeZxqxo6e3QzsyeSu6Z+IRpzoqW/k7v2NSNpiErS2fOzJnqUz+7saMCDyoaPUIIIaOG7te8VRscZ/TazucnW942TVlZenXisI85SR7Y97ppzMrQxqk583P3/h+axqwMjc1s87EmyS+O3GUas6Klt0LDLFjLkJWljskYK7/eUYEHFY0eIYSQUUP3a96mDY4Lt71gzMSJk6YhK0vfWTdnfLBzhWXKyhD22RVgvixTVoZgKoW9p7eYxqxoPXN4bnFZfDNnGbKy1LH92S+XdlTgQUWjRwghZNTQ/Zq3acUwOzu7z8dR+Zp62G9XuH7bCtOYFS3sfXtq9qyPNUlnxVrGrGj99c7F6eti4b53rzbNWZHCK2K8KhawW4VlysoQZvoKZ15/tKMCDyoaPZKFLLpqbWeVtbipRcziqWWQl/4mUWX59bs4LYlDdpvg0kblo/s1V6eLwxm9oW2JhviEtUfHTWNWhlYdbq8XnU6UsIxZGVo1Nbfkydqph0xzVrS2Tr/kY8QD+6hpysrQ1PGv+liTZPbweEcFHlQ0eiQLGr16UGX5SVxcSLs8hvU8LDR0v+bKuzhc2ItaUbTW1MNECcuUlaEbnp/7YB9UNar3zV1zu1VMnj1c2Zp639g39yoVEyUsY1a0fnZoznCdOzdpmrIyhN04MNtXKHLmLY1euVQxQlJWHDR69aCq8uNo0xxlPreyLSFHTctF92vuXhbLMCdlvLLnkI+52lE9fBcofP/Aj01jVrRgKGEsharW1DvuDJ5wbOqLpjErQ6dOzY0mFrkNGo1eudDo0egNSlXlV0VdbQplloUYaoQve02T4tH9mivrYnHht59G7EVb5U4Z4ajetVufMo1Z0RrWqN4TR37uY02S/affMo1Z0Vo3NTcxosrFk4+fuM3HmiTnJrZ0VOJBRKNXHtJBa4WjJeHm6Ph9yZK50WqAvWn15vHYqFzCKCoO2UFDzsHOGXfffXf6725G75ZbbkluuOGGjmv1+VlGBZvih+m6/fbb58UVc16v6Qd55QrCTfshnTcpA6Tn5Zdf7igD7C2M35EG2ZUk69o1a9b0VX6D1p0QK57YdGaZl9BsD1JmQky+JS8PPvhgu57KHyTd7mu3ZyqmPubFD7LuKSkO3a+5si6e2dnZN3xcyT2v7zBNWVnSo3rLD4yZxqxoYeu1yTNzO3RUNaqHtfv0pIwqRvX04smgqr1vDx/5RDKrJoMUtcwKjV55dOswZNTAknQKugPVko6ziDiAFY6om9GzpDswq1MTA2Cpn/N6TX+3cs36HZJ4u5WBpdhrrbzpY0XUHY1Oj64Xsens1ejpMLqp13wDqz4gnJj7al0rz9Qg9VH/HpYLKR7dr7myLh5n9No7Zew4fNw0ZGVJj+phRmxVCyj/YM/cws2jPqqn976tclRPv749d+Ctjorcr2j0yiXrFZDu8PRoxDPPPNPx/Y71PQ9GFC655JJ2BzFoHLrzQ2eEcCVeHOtmDKQTxDHp4LTZDI2KFR+ulRE4uXaQ87qlv1u5Ip777rsv2bBhQ/obwOgMwpNrsspAGxlcg2NSBpbh6bX89LWD1h1Bh5ll9JCm5cuXd6RT8qPvQazRG6TM8vIN5FoJT0AY3e4rsJ6p2PoIsuIXpFx0+KRYdL/myrp4XBzv1UutfGvtVtOUlSW9gDJH9YrXsEb1jhz9VOeo3nO3dVTmfkSjVy5ZJkwbEUvSaejzFi1aZL7aHDQOuV53VCBv1EF3utoY6Dilww+NSlZ8oVkY9Ly89MeUK1574tViWIZSzlllEOYXhPdokPKLva8xeRSyjFpWOsP89GP0ei2z2HwDKzyh230FYdz6WLf6CPLiB1b4pFh0v+bKuhyc0bvTx5e+TrUMWVmCsRQW2qje+KmNpjkrWsMa1Tt58gkfa5LMnphMTt7/iY4K3ato9Molq0HvpdNCGOG5eZ2uEBtH1vVlG70wviwD1+95eekHuC6rXHUcoSSeuhs9kJdHTZZRGzWjF3NfQRh31jFg5T0rfiErLFIcul9zZV0OLp6O/W/xStUyZWUJr4yFhTaqhxE3y5wVqXBUr6oZuOGo3rnd6zsqdK+i0SuXrAZdOq1wdCCPsbGx9sfrYWc+SBxyfXhe2UYvjC+8dtDzuhk9wSpXK0w5JuU8bKMX5jePrLojZKUn63iYnyqNXky+s4xWzH3tdiyMP+aehUi56PBJseh+zZV1eTij115q5ekdE6YhK0vhqB52sbDMWdHSo3pvndxlGrMyNIxRPb2A8tmz4+l6d5Y5K1p6Bi44s/GJjkrdi2j0yiWrc9AdIzoDMSLoCJcuXdr+jgrX49+bN29Of7c61EHj0B0VZj4Cfayb0ZN4cUw6ON2BZRkVOYawrWv7OS82/d3KVcoUceAcK15dBoMYvV7Lr8i6I2TlJet4Xn4kTdY9yAovpsxi8w2s8EDMfdXn6Wcqtj6CrPiF2D9CSP/ofs2VdXm4uD7UirL6BZQhPaoHA2YZs6IVjuphYWPLmBUtjOppVhy+zTRnRer7E5/q2BZteuZ+05iVIb3/LTj94pKOih0rGr1y0Z0TpDsOaewtSQcgHU4o3akMGgeQjsmS1RnpDtuS7uCsTi8vPssAWIo9z0p/t3LVnXrWOYOYlkHLr6i6o5F4dHll5THMD4hJ0yBlBnqtzzo8EHNfQdYzJeFa6pYfTbffyeDofs2VdbnoUb0nt+81DVlZ0qN6MF8wYZY5K1p6VG/izP6hfKuHhY3v2neZadCK1EtH5/ahxSvVI0evNo1ZGTp9eq6cQWjaYkSjVz4yK9A1B2lnIiMsAL9dcMEF6W8QOhSMSumOFqMVunO66KKLOsIAg8QBEI+82oOwrtimTZvSMC2jJB02wsJ6aFdccUX72jDsrE4NsxF1vjBhwJqhGHNeP+nvVq4wGvI78rls2bK08xdDIGWA3wcxeuE6hLHlV1TdESxjlZXHrHPDtQzDezBImQkx9TnPSHW7r0LWMxVTH/PizxtZJcWh+zVX1uXi4hvqqN7bx+ZG16oc1Tt+dm6kq6o9cMPdMl47/oRpzooWlnURzpzZaJqyMoS19fDKWHN255pk5geXdVTyPNHoEVI9WYZnmNCAVEOWgSXFovs1eLHSmZ2dbX/MVfWo3rINu3zMSWq+qpqB+7135r4VwkSJv/3dZ01zVrRum7jLx9qiiokZDx+40cfWAq9VLWNWhmD2YC41WGPv1JNf7KjoWaLRI6R66mj0QN5IFCkGlnE16H4NPqx0XJztO1r1qB62YNOjes9NvmUaszKk98Bdc/zXpjErQxunf+NjTZK9p7eY5qxorZ16yMfYYur4101jVpZOnlzhY54Do3snH/77jgofikaPkOqpq9HjaFO5yKgpXhnLd7SkHHS/lhqxKphV26JVPar3tdVbfMwtvrzjOdOYFa3rt3Waj6omZvzT21/uWG7lF0fuMs1Z0cJsX2F2dqrS7/WgE9N3dSy9IpwdezZzyzQaPUIIIaOG7te8DSsfF+/QRvUgvQcuRtqqmpjx84O/9bFWOzHj0cNP+lhbEzMwQ9YyZ0UKcRw9O+FjxZIrb1W25Iro6LG/TxdwNjl7Kh3lwwxdvNrFYss0eoQQQkYN3a95G1YNwxzVg7GEwRQe2Pe6acyKFr4J1MutDGtiRlVr6+F7Pb3kCmbGVm32ICzgfOZM50huFvqBIIQQQpqO7te8BasGF3fHqN7ip18zTVlZ0hMzqtwaLZyY8Q+7bzLNWdG6ZW/nwsL4js4yZ0XrmcNzG26DU6eeNc1YFTo2dWO6bVo4O1ejHwhCCCGk6eh+zVuw6pidnX3Fp6PyPXAxMUMvorz26LhpzMqQnpix/sQG05iVIb22Hnj84BdNc1a0wskZMzMPmUasSuGbwRPTS9NRRszUPXeu9ZpZPxAURVEUNUry9qs6XL/aXlcPYFFjy5SVpS+8uMnH3OKbu1aZxqxoDWtiBl7hjs1s87Em6Td090x8wjRnRWvdVOfuFXUwe6GQpunvz38wKIqiKGoU5O1XtczOzra3U8DSJxhps0xZWfrF7+amzU+cmhrKxAx8P4dtyyxzVrSwht/UubmRzO0za0xjVoY2Tz/rY20xzNe4lmD0jq2Z/2BQFEVRVNN1/LlLh2P0XH//QWf22jMF8O2cZcjKEiZmHD99xseeJI+9u9k0ZkUrnJiB9e4sY1aGMIKowdZlljErQ1un2+tlp7QmaHzCNF5VKxxlJIQQQpqO7te89aoeZ/Q+59MzlOVW7nl9h4+9NTHj2q1PmeasaOFVsaaqWbiQ/l4PM2N/duirpjErQ9iOTYOlV44c/VRHZRyGaPQIIYSMGrpf87arelw63quXW8HrVMuQlSk9MWPj1IRpzMrQ8gNjPtYWX9rzDdOYFa3we72T56Yq2SJNtPrY/T7mFlhUeer4VzsqZNWi0SOEEDJq6H7N267h4NJycStJLW54fqNpyMoS4tN8d3ytacyKFr4JhLEUqv5eDws3C1hM+b53rzaNWRkKl14BVe6NG4pGjxBCyKih+zVvuYbH7Ozscp+udITNMmRlCgs3C1W+wh3m93rYIk1PzsBM3Cp2zhBhiRcYTA0WNx7Gq1waPUIIIaOG7te83RoeLj2YmDHTSlqS3Ll+u2nIytInn/p1MnHipI89ScZOHKhsFi723NVU+b3eje/c2rEf7v7Tb1W27AqEuHadXO9jb4F9aqdn7u+ooGWLRo8QQsioofs1b7eGi0vT11tJc4mbOZ2aL8uUlSWsrae3R8M3dJYxK0P/OdH5+riq7/WgcOcMGK+79l1mGrOyhO/29JZpALtYYEcLXVHLEo0eIYSQUUP3a95qDReXJkzM2NdKXvX74EJ6ezRQ1ULK0LC+14OWvHuvj7nFMMwe9sfFiGLIqVMvpbtZ6ApbtGj0CCGEjBq6X/NWa/i4dHXsg1v1xAwIW7IJx8+eSq4ZW24as6Jlfa+HGbKWMStD/3HwYR9zC5i9Kl/jirC2H2YCh2CR5bIMH40eIYSQUUP3a95m1YPZ2dmVPo3JqxOHTTNWpur0vd6a4782TVlZwveBmqq/2RNhUki4wLJw+vSa5Oixz3RU4EFFo0cIIWTU0P2at1j1wKXtQ3piRtX74ELD/F7vgX2v+1hbPHdslWnKylJo9jAbt8qlV7QwM3f8VOf3iwK+4TsxvbSQWbo0eoQQQkYN3a95i1UfnNG706czHV2reh9cKPxe79adL5jGrAxhOzZNlTNxofCbPSyDUuWiyqEQN/bmzQLbqR0/saRv00ejRwghZNTQ/Zq3V/XBpe/9emLGMHbMgPT3evh+Dt/RWcasDD032Tkx4e79PzRNWVnCvrh66RV8N4cRNsuIVSUYPrzSDWfoajDSd/LkE8nU8a9H76VLo0cIIWTU0P2at1f1wqXxmlZSWwzjFS723sVSL0KVW6Thu8BXj+3xMbeA+bJMWVnCMi96UWUYrF8cucs0YVUK3w1id42s17oaGL8zZzamZg6veo9NfXHeyB+NHiGEkFFD92veWtWP2dnZB3x6k+Onz6TGyzJkZermlztfo2LNO8uYlSGYvR3Tc7tHYIQN695ZpqwshTtoAIyqDWOShiV8P4h1+GJMXx76gaAoiqKoUZK3VfXD9b94hdv+WO7N/UdNM1a2frLlbZ+CFlV+r3fF5seS8ZNHfcxJarpgvixTVpawN+746c7RxUNnxof63V6W8Hp57dRDPRu/w0cuMx8OiqIoimq6vK2qJ87o/bHvi1NguiwzVrZgMgXsh4ulUCxjVoawlt/Eqbm15bCgMsyXZcrKEtb0wwxgTV1e5ebpgf1/n5o/jPqtm3o0NYBQuM/uzMyj5sNBURRFUU3WKwcvrbfRA64fbm+PhmVPsPyJZcbKFF4b6/X1sJjy9dtWmMasDCEuxClMnNlf+cgehBm5epIGqNOr3CJECCGENB3dr3k7VW9mZ2df8Wkf2pIri59+rWNyBmbiVrVzBnTT9pXpaKKA17g3vnOracjK1D/svil562Tn8jN4lfuzQ1/tqFhNFSGEENJ0dL/mrVS9cWn+Q2f2DreSP7wlV7AtGyaGCHiliu/oLGNWhvB9oB7ZG8YEDQivclcc7dzJA2C9O+xsoStY00QIIYQ0Hd2veStVf1y6O5Zc+c66baYZK1uYiat3zsDM2CrNXvgaF+CVqmXIytZtE3fNm5WLNffwTZyuZE0SIYQQ0nR0v+ZtVDMIl1zB61TLjJWtr63e4lPRAmveVbUnLhRO0ADfP/Bj04yVrSt3XTdvogbA69yHD9zYUdmaIEIIIaTp6H7NW6hm4NJeiyVXoDvXb/epaLH26LhpysoSzJ5eZw88evhJ04xVIXwvGH67BzBZY1j75fYjQgghpOnofs1bqOaAJVecZnxehrbkCvSjTbt9Klpg6zLLlJUlvDIeO3HAx94Co2uWEatKGFkMX+eCzdPPNsLwEUIIIU1H92vePjULl4f2kitgGEuuiB7f+o5PRYsqd8+ArO3S1p/YkPz1zsWmEatCeJ27amqNT00nmLBRx8WWRYQQQkjT0f2at07NY3Z29iWfn3TJlU8+9WvTiFUhzALW/GDPetOUlSmMJmqwm8Uw1trTwn65G6d/41PUCQwfFjPWlbEOIoQQQpqO7te8bWoeLh8dS668PH7ANGFV6dWJdlJSvvfOOtOQlanlB8Z87C2w/Mrd+39omrAqBcO55vivfao62Xt6S/LM4SW1WXSZEEIIaTq6X/O2qZk4o3elz1PKML/XwyLOeqs0UPVrXOi742s7FlYGMFnDfJUrguGzZugCbKmGiRvDXniZEEIIaTq6X/OWqbk4s7fU5ysFs2EtI1aF8Pp4x+HOiQhVT9CArt36VDJ+stN0Ytu0YeykYQl79WYZPoC9aF87/kS6V62urFWIEEIIaTq6X/N2qbm4/LzXmb2Vray19sPFOneWEatCGNkLX+Ni6ZUq19mDEN/PD/7Wp6AFXuUOa709S5i0gfTge8IssB4fTB9G+u7ad1lH5S1DhBBCSNPR/Zq3S83G5Qnr673Ryl5rMWVsV2YZsSoEsxdO0Ng4NVHpDhqi23evnreTRl1e5WphD11sqzZ5ttMkh+CbvrVTD5U2kYMQQghpOrpf81ap+bh8YXJGe8VezMQd1s4Zoie37/WpaYEFjj/9m5+ahqxMYXHlcL09vMrFrFjLdA1b39i3JF2eBSOQeeC7vl0n16fGDxM6YP4GHfUjhBBCmo7u17xNGg1c3j7kzF57SAjfyw1z2RUoXFQZW5fBeFmGrEzhVW44KxfgWzm8QrUM17CFUUeYvieO/NzcdSMLGMDxUxvTRZphAvHaFyZQlLdwMyGEENJ0dL/mLdLo4IzeR53aO2fgezm8SrVMWFUKt0vDq9Trt60wDVnZunXnC/Ne5WInizp9u5elfo1fN/QDQVEURVGjJG+PRgvXd1/T6sJb4Hs5y4BVKUwQwUQRAWYLpssyY2ULr49XHZ5vlMZmttVmZm6MYPxu2Xtb8tDkf6Ujk1icudvrXosqJnlQFEVR1DDkrdHo4frvjm3ShrnGnghbtWGiiID17jBZwjJjVQhGM1yGBWDErG6TNXoR0o7vD7FYNEwgDKBWuBfvuqlHzYeDoiiKopqsm97++OgaPTA7O/uA78tTvrNum2nAqhRmA2OiiGYYCyuL8O3eA/ten7fIMma/Lnn3XtNIjbIIIYSQpqP7NW+JRhOX13lr7N388mbTgFUpzAZ++9i0T1ULLL8yjBm5IsT96rH569lhBGzYe+ZWKUIIIaTp6H7NW6LRxeV33hp71z37hmnAqhRmA48dOuZT1WLyzHTy5R3PmUasKuF1LmYGh2Dtvboux1KkCCGEkKaj+zVvh0Ybl+d5a+xdtWK9acCq1uNb3/GpmmOYr3IhvM597N3N817nAozwjbLhI4QQQpqO7te8FRp9XL5rt8aeCDNy9SQNMOxXuRDW+8NevRaYoYulTnRlGgURQgghTUf3a94GLQyc0etYYw9mb9i7Z4gwwvjm/s4ZsHV4lQvlGT6sZ3fbxF0dlarJIoQQQpqO7te8BVo4uPx3rLFXh63StLAMTMiwX+WKMMKI3TWsV7rYUg2zdD++46qOCtY0EUIIIU1H92ve/iwsZmdnr9QjezB7dZigIcLM4MmZzoV/6/AqVySGL9xhA2DBYixejIWMdUVrigghhJCmo/s1b30WHuFrXHwjhzXuLOM1DNX5Va7ois2PpaONluEDWIsPiy//w+6bOipdnUUIIYQ0Hd2veduzMHFlcbEze+0JGnUze5D1KvfnB3+bmizLfA1DSAsWXbZ22RDGT+9J99P92999tqMC1k2EEEJI09H9mrc8CxdXHh2zcbGoMmbBWqZrWLJe5WIU7bvja03jNUxdv21FakQx+pgFlmjB93xX7rquozLWQYQQQkjT0f2atzsLG1cmMHvtdfbqaPbwKvfVibYfbTN24kBqrizTNWxh8WXM1rUmbwgY6Vtx9Ll0qZY67K9LCCGENB3dr3mrQ1y5dCyqDLN35/rtpukapmBAw71yARY4rtPrXC0swIzRR2uLtRAs14Lv+jCZYxgzeAkhhJCmo/s1b3MIcGXzQWf22tulgTqavb9a/qv02z2YUQ1el96+e7VptuoizNj9wZ716SziGLAw80OT/5XuxlHF932EEEJI09H9mrc4RHDl07E3Lli2YZdpuIYtLAljvc7FyNm1W58yjVbdhFnEGI3EK+hYYP6w9y4MIBZrhgksavSPEEIIaTq6X/P2hmhcGcHsrWwVVwuMoFlmqw761tqt8yZr4Ls4GCi8NrUMVh2FtOK7vl6NnzB17ng60QPf/MEEQnfv/2FqBLXylnshhBBCmo7u17y1ISGunN7bJLOHfXsf3/qOT+kcE6emkm/uWmUaq7pLjB8WZ8ar3ryZvIOgHwiKoiiKGiV5W0MsnAeA2XugZQdavLLnUGqqLLNVB+F1brjQMsAad3VcjqUf4XUvvkXEYs1rj473Nfqnafq2bRRFURSVJW9pSB6h2Xv72HTtFlYOhUkk4etcgBE+GL4mvdKN1TVjy1MTiMWbYQIhLO+C0UAtlIHm0cknzYeDoiiKopqsj279Zxq9WJwf+HrLFrSo6/IrWhh5xOtm7PgRgtegmP06ioZvEDlTf46iKIqimizdr3kbQ2Jw/qhjyzTw9I6JdLkTy2jVRWL4rBE+GD6MfNV1Db6qFT4sFEVRFNU06X7NWxgSi/NGWFj5lZZNajF26Fiy+OnXTJNVJ8GQYqkYy/BhSzUYPqxzpyvIQlP4sFAURVFU06T7NW9fSC84X4RJGktbFqkFXo/Wbdu0LMHw4bWztcMGlmXBLNeFavjCh4WiKIqimibdr3nrQvrB+aJrXIHOtCxSizovwWIJhg+TSyxWHd5V+502ilb4sFAURVFU06T7NW9ZSL84P/QhV6jtPXIBdquo8xIslrDo8o7Dx30OOsFr3Z8f/G1y/bYVHaZoFBU+LBRFURTVNOl+zdsVMgjOC83bSQOvRb/w4ibTVNVZeP1srcMnYD0+LF8yqq92w4eFoiiKopom3a95q0KKwPmgeUuw3PP6DtNQ1V1YeBk7bVjf8QnYU3fU1uSzHhiKoiiKapJ0v+YtCikKV8AfdepYguUXv9tf+yVY8oRRPuQBxtUCEziwMDEWK9aVq4nSDwpFURRFNVG6X/P2hBSJ8z5YguWNlg1qgQkPTXyVqyWzdfENYhbYdQLf82ESRxPX5gsfFoqiKIpqmnS/5q0JKRrneebtkwvwOrTJo3sirBv4o027M2fsCjumJ9PlWr65a1UjXvGGDwtFURRFNU26X/O2hJSFK/B/dOpYgmUURve0kBfsEGJttRYyduJA8ti7m5Nbd77QYbDqIv2gUBRFUVQTpfs1b0dImTh/s8gVfMduGmBURve08D0f8oXdQmLYODWRzuK9afvKDsM1LIUPC0VRFEU1Tbpf81aEVIHzNTe7GzDSo3taWEsQ6/M9uX1v5hp9ITB++MYP5g+TO6r+zi98WCiKoiiqadL9mrcgpCqcl8kc3WvaIsu9SowfXvN2+7ZPgwWbYQDxyhf78eK1b1kzfMOHhaIoiqKaJt2veftBqsb5l3mje5Mzp5PvrNtmmqRR1FUr1qf57dX4hcAEYk0/mEARZv3CDEK97OgRPiwURVEU1TTpfs3bDjIMnEfB6N5LLbsyB3amwILFljkaZWHE7+aXNyfLNuxKX/eiHLLW7isS/UBQFEVR1CjJWw4yTJzZu9Jpn/cdbRbC69wYYeRPDOBPtrydvLLnUGoCY2b5xjBKO3tQFEVRlJa3GmTYOL+B/XK/3bIecyy017n96IbnN6ZGEIs5wwhCeB0MMwh1mwjy2LubzIeDoiiKopqsj/3Pf9Po1Q3nOz7kDN+8yRowK1i6xDI6VHFyZb+XoiiKopos3a95e0HqhvN217ibNe91LkaoRnU5ljoofFgoiqIoqmnS/Zq3FaSOOF+H17l3OnXMzgX4Tg3bkOmbSQ0u/aBQFEVRVBOl+zVvKUidcb7uD92Nm7dvLsC3aJisoG8q1b/Ch4WiKIqimibdr3krQZqA83VYjmV5y+LNgSVIYPg4wje4woeFoiiKopom3a95C0GahPN2mLAxb/098PL4gXQWqr7JVLzCh4WiKIqimibdr3nrQJqI83UXuxtqGj5M2uAs3d4VPiwURVEU1TTpfs1bBtJknK+D4VvZsnidYFkWrC+nbzqVrfBhoSiKoqimSfdr3iqQUcD5OrzSfaRl8TrBwstYSJgTN/IVPiwURVEU1TTpfs1bBDJKOF+XztJ1mrcsC8B3fHyta0s/KBRFURTVROl+zVsDMoo4T/dBd8OxDt/hlsXr5O1j08k9r+/gfrpK+kGhKIqiqCZK92veEpBRxnm69zphp415W6sBWZ4F+8XqyrEQFT4sFEVRFNU06X7NWwGyUHC+DmvxLXUyR/nwLR9M30JdokU/KBRFURTVROl+zXf/ZKHhPF3uKB+YOHEyeXL73uS6Z9/oMEOjrPBhoSiKoqimSfdrvtsnCxnn6TDKh2/5drUs3nzwPd/jW98Z+ZE+/aBQFEVRVBOl+zXf1RPSwlWQP3bCq9193uPNQ17vfmvt1g6TNAqSh4SiKIqimirdr/nunZD5uMryUScs02J+zwcwkQPLtWBR5lFYo08eEoqiKIpqqnS/5rt0QvJxnu5yV3lg+jJH+gB24sB3fd9Zt62Rxk8/KBRFURTVROl+zXfjhMTjKhFe7+KbvjHv7zLBhI5f/G5/ul5fEyZ1yENCURRFUU2V7td8101Ifzgvh4kcn3PKnL2rOX76TPLm/qPpdmz4xm8hzeilKIqiqKrlu2tCBsf5uPc7w/dR99+vu/++lDq7CPCdH8wfXvniW78vvLjJrKxl6a+W/8o8TlEURVFNl++iCSkHZ/jwmhcjfsudcr/vC8HsXhhAzPCVEUDs3lG0McOyMdZxiqIoimq2Xlnqu2NCqsH5t0VOlzth1G9lr+ZPAxMoghEUYVQQhhCKGR3U+GQSQgghhJAicP7q/U4XO93sjN8jTm/AdA0DnyRCCCGEEFImznd90AkG8BonjABieZeXBhkF7IaPmhBCCCGEDBPnyz7kBCPYNoOQM4LY2QOGEIqaDQzcuQ/4oAkhhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghpDz+1//6/wE/t2BQT8XPUAAAAABJRU5ErkJggg=="> </p>
<p>Stratification: </p>
<p>The data are stratified by gender, and age group. Data are aggregated at the country level. Data are analysed and reported according to whether specimen is within 2 calendar days of admission (community origin) or after 2 calendar days of admission (hospital origin).</p>
<p> </p><div class="footnotes"><div><sup class="footnote-number" id="footnote-8">7</sup><p> EUCAST, &#x226A;EUCAST guidelines for detection of resistance mechanisms and specific resistances of clinical</p><p>and/or epidemiological importance,&#x226B; 2013, Available: http://www.amcli.it/wp-content/uploads/2015/10/</p><p>EUCAST_detection_resistance_mechanisms_V1.pdf . </p><p>CLSI, &#x226A;M100 Performance Standards for Antimicrobial Susceptibility Testing,&#x226B; 27th ed, 2017. <a href="#footnote-ref-8">&#x2191;</a></p></div><div><sup class="footnote-number" id="footnote-9">8</sup><p> <strong>National antimicrobial resistance surveillance systems and participation in the Global Antimicrobial Resistance Surveillance System (GLASS): </strong>A guide to planning, implementation, and monitoring and evaluation (2016). <a href="https://www.who.int/glass/resources/publications/national-surveillance-guide/en/">https://www.who.int/glass/resources/publications/national-surveillance-guide/en/</a> <a href="#footnote-ref-9">&#x2191;</a></p></div><div><sup class="footnote-number" id="footnote-10">9</sup><p> <strong>Global Antimicrobial Resistance Surveillance System: </strong>Manual for Early Implementation (2015). <a href="https://www.who.int/antimicrobial-resistance/publications/surveillance-system-manual/en/">https://www.who.int/antimicrobial-resistance/publications/surveillance-system-manual/en/</a> <a href="#footnote-ref-10">&#x2191;</a></p></div><div><sup class="footnote-number" id="footnote-11">10</sup><p> Both for species identification and antimicrobial susceptibility testing (AST) <a href="#footnote-ref-11">&#x2191;</a></p></div></div>
<p>Le Système mondial de surveillance de la résistance aux antimicrobiens (RAM) de l’OMS (GLASS) aide les pays à mettre en œuvre un système de surveillance normalisé de la RAM. Des cas d’infection par la RAM sont trouvés chez des patients chez lesquels des échantillons cliniques de routine ont été prélevés pour une hémoculture dans des sites de surveillance (établissement de soins de santé) conformément aux pratiques cliniques locales, et des tests de sensibilité aux antimicrobiens (AST) sont effectués pour les agents pathogènes sanguins isolés conformément aux normes internationales<sup><a href="#footnote-8" id="footnote-ref-8">[7]</a></sup>. Les résultats microbiologiques (identification des bactéries et AST) sont dédupliqués et combinés avec les données des patients et liés aux données de population des sites de surveillance. GLASS recueille des informations sur l’origine de l’infection, soit d’origine communautaire (moins de 2 jours civils à l’hôpital) ou d’origine hospitalière (patients hospitalisés pendant plus de 2 jours civils). Les données sont rassemblées et validées au niveau national et soumises à GLASS où des statistiques et des mesures épidémiologiques sont générées. GLASS a publié des lignes directrices sur la mise en place de systèmes nationaux de surveillance de la résistance aux antimicrobiens<sup><a href="#footnote-9" id="footnote-ref-9">[8]</a></sup> et le manuel de mise en œuvre de la méthodologie GLASS<sup><a href="#footnote-10" id="footnote-ref-10">[9]</a></sup> est à la disposition des pays. </p>
<p>Bien que la représentativité nationale des taux de RAM générés ne soit pas une exigence stricte, GLASS encourage les pays à produire des données nationales représentatives. </p>
<p><strong>Formulation du nouvel indicateur proposé : </strong>Proportion de patients présentant un <strong>pourcentage d’infections de la circulation sanguine dues à certains organismes résistants aux antimicrobiens </strong>. </p>
<p>Ceci est dérivé de ce qui suit et multiplié par 100<sup><a href="#footnote-11" id="footnote-ref-11">[10]</a></sup> : </p>
<p><strong>Numérateur :</strong> Nombre de patients présentant une croissance de <em>S. aureus </em>résistant à la méthicilline ou d’<em>E. coli</em> résistante aux céphalosporines de troisième génération dans des échantillons de sang analysés </p>
<p><strong>Dénominateur :</strong> Nombre total de patients présentant une croissance de <em>S. aureus</em> ou d’ <em>E. coli </em>dans des échantillons de sang analysés </p>
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"> </p>
<p>Stratification : </p>
<p>Les données sont stratifiées selon le sexe et le groupe d'âge. Les données sont agrégées au niveau national. Les données sont analysées et rapportées selon si l'échantillon se trouve dans les 2 jours civils suivant l'admission (origine communautaire) ou après 2 jours civils après l'admission (origine hospitalière).</p>
<p> </p><div class="footnotes"><div><sup class="footnote-number" id="footnote-8">7</sup><p> EUCAST, « EUCAST guidelines for detection of resistance mechanisms and specific resistances of clinical and/or epidemiological importance », 2013, disponible à l'adresse : http://www.amcli.it/wp-content/uploads/2015/10/</p><p>EUCAST_detection_resistance_mechanisms_V1.pdf </p><p>CLSI, « M100 Performance Standards for Antimicrobial Susceptibility Testing », 27th ed, 2017. <a href="#footnote-ref-8">&#x2191;</a></p></div><div><sup class="footnote-number" id="footnote-9">8</sup><p> <strong>« National antimicrobial resistance surveillance systems and participation in the Global Antimicrobial Resistance Surveillance System (GLASS): </strong>A guide to planning, implementation, and monitoring and evaluation » (2016). <a href="https://www.who.int/publications/i/item/WHO-DGO-AMR-2016.4</a> <a href="#footnote-ref-9">&#x2191;</a></p></div><div><sup class="footnote-number" id="footnote-10">9</sup><p> <strong>« Global Antimicrobial Resistance Surveillance System: </strong>Manual for Early Implementation » (2015). <a href="https://www.who.int/antimicrobial-resistance/publications/surveillance-system-manual/en/">https://www.who.int/antimicrobial-resistance/publications/surveillance-system-manual/en/</a> <a href="#footnote-ref-10">&#x2191;</a></p></div><div><sup class="footnote-number" id="footnote-11">10</sup><p> À la fois pour l'identification des espèces et les tests de sensibilité aux antimicrobiens (AST) <a href="#footnote-ref-11">&#x2191;</a></p></div></div>
IMPUTATION
<ul>
<li><strong>At country level</strong></li>
</ul>
<p>Countries with no data are reported as blank. </p>
<ul>
<li><strong>Au niveau national :</strong></li>
</ul>
<p>Les pays sans données sont déclarés comme manquants. </p>
COVERAGE
<p><strong>Data availability:</strong></p>
<p>Data are available by country, gender, and age group, as well as whether infection is of community or hospital origin. </p>
<p><strong>Disponibilité des données :</strong></p>
<p>Les données sont disponibles par pays, par sexe et par groupe d’âge, ainsi que par origine communautaire ou hospitalière. </p>
Key English French Actions
COMPILING_ORG
<p>WHO </p>
<p>OMS</p>
CONTACT_ORGANISATION
<p>World Health Organization (WHO) </p>
<p>Organisation mondiale de la Santé (OMS) </p>
COVERAGE
<p><strong>Data availability:</strong></p>
<p>Data are available by country, gender, and age group, as well as whether infection is of community or hospital origin. </p>
<p><strong>Disponibilité des données :</strong></p>
<p>Les données sont disponibles par pays, par sexe et par groupe d’âge, ainsi que par origine communautaire ou hospitalière. </p>
DATA_COMP
<p>The WHO Global AMR Surveillance System (GLASS) supports countries to implement an AMR standardized surveillance system. Cases of AMR infection are found among patients from whom routine clinical samples have been collected for blood culture at surveillance sites (health care facility) according to local clinical practices, and antimicrobial susceptibility tests (AST) are performed for the isolated blood pathogens as per international standards<sup><a href="#footnote-8" id="footnote-ref-8">[7]</a></sup>. The microbiological results (bacteria identification and AST) are de-duplicated and combined with the patient data and related to population data from the surveillance sites. GLASS does collect information on the origin of the infection, either community origin (less than 2 calendar days in hospital) or hospital origin (patients hospitalized for more than 2 calendar days). Data are collated and validated at national level and reported to GLASS where epidemiological statistics and metrics are generated. GLASS has published guidelines on the set up of national AMR surveillance systems<sup><a href="#footnote-9" id="footnote-ref-9">[8]</a></sup> and the GLASS methodology implementation manual<sup><a href="#footnote-10" id="footnote-ref-10">[9]</a></sup> is available to countries. </p>
<p>Although national representativeness of generated AMR rates is not a strict requirement, GLASS encourages countries to derive representative national data. </p>
<p><strong>Formulation of the proposed new indicator: </strong>Proportion of patients with <strong>Percentage of bloodstream infections due to selected antimicrobial resistant organisms. </strong> </p>
<p>This is derived from the following and multiplied by 100<sup><a href="#footnote-11" id="footnote-ref-11">[10]</a></sup><strong>:</strong> </p>
<p><strong>Numerator:</strong> Number of patients with growth of methicillin-resistant <em>S. aureus </em>or<em> E. coli</em> resistant to third generation cephalosporins in tested blood samples </p>
<p><strong>Denominator:</strong> Total number of patients with growth of <em>S. aureus</em> or <em>E. coli </em>in tested blood samples </p>
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"> </p>
<p>Stratification: </p>
<p>The data are stratified by gender, and age group. Data are aggregated at the country level. Data are analysed and reported according to whether specimen is within 2 calendar days of admission (community origin) or after 2 calendar days of admission (hospital origin).</p>
<p> </p><div class="footnotes"><div><sup class="footnote-number" id="footnote-8">7</sup><p> EUCAST, &#x226A;EUCAST guidelines for detection of resistance mechanisms and specific resistances of clinical</p><p>and/or epidemiological importance,&#x226B; 2013, Available: http://www.amcli.it/wp-content/uploads/2015/10/</p><p>EUCAST_detection_resistance_mechanisms_V1.pdf . </p><p>CLSI, &#x226A;M100 Performance Standards for Antimicrobial Susceptibility Testing,&#x226B; 27th ed, 2017. <a href="#footnote-ref-8">&#x2191;</a></p></div><div><sup class="footnote-number" id="footnote-9">8</sup><p> <strong>National antimicrobial resistance surveillance systems and participation in the Global Antimicrobial Resistance Surveillance System (GLASS): </strong>A guide to planning, implementation, and monitoring and evaluation (2016). <a href="https://www.who.int/glass/resources/publications/national-surveillance-guide/en/">https://www.who.int/glass/resources/publications/national-surveillance-guide/en/</a> <a href="#footnote-ref-9">&#x2191;</a></p></div><div><sup class="footnote-number" id="footnote-10">9</sup><p> <strong>Global Antimicrobial Resistance Surveillance System: </strong>Manual for Early Implementation (2015). <a href="https://www.who.int/antimicrobial-resistance/publications/surveillance-system-manual/en/">https://www.who.int/antimicrobial-resistance/publications/surveillance-system-manual/en/</a> <a href="#footnote-ref-10">&#x2191;</a></p></div><div><sup class="footnote-number" id="footnote-11">10</sup><p> Both for species identification and antimicrobial susceptibility testing (AST) <a href="#footnote-ref-11">&#x2191;</a></p></div></div>
<p>Le Système mondial de surveillance de la résistance aux antimicrobiens (RAM) de l’OMS (GLASS) aide les pays à mettre en œuvre un système de surveillance normalisé de la RAM. Des cas d’infection par la RAM sont trouvés chez des patients chez lesquels des échantillons cliniques de routine ont été prélevés pour une hémoculture dans des sites de surveillance (établissement de soins de santé) conformément aux pratiques cliniques locales, et des tests de sensibilité aux antimicrobiens (AST) sont effectués pour les agents pathogènes sanguins isolés conformément aux normes internationales<sup><a href="#footnote-8" id="footnote-ref-8">[7]</a></sup>. Les résultats microbiologiques (identification des bactéries et AST) sont dédupliqués et combinés avec les données des patients et liés aux données de population des sites de surveillance. GLASS recueille des informations sur l’origine de l’infection, soit d’origine communautaire (moins de 2 jours civils à l’hôpital) ou d’origine hospitalière (patients hospitalisés pendant plus de 2 jours civils). Les données sont rassemblées et validées au niveau national et soumises à GLASS où des statistiques et des mesures épidémiologiques sont générées. GLASS a publié des lignes directrices sur la mise en place de systèmes nationaux de surveillance de la résistance aux antimicrobiens<sup><a href="#footnote-9" id="footnote-ref-9">[8]</a></sup> et le manuel de mise en œuvre de la méthodologie GLASS<sup><a href="#footnote-10" id="footnote-ref-10">[9]</a></sup> est à la disposition des pays. </p>
<p>Bien que la représentativité nationale des taux de RAM générés ne soit pas une exigence stricte, GLASS encourage les pays à produire des données nationales représentatives. </p>
<p><strong>Formulation du nouvel indicateur proposé : </strong>Proportion de patients présentant un <strong>pourcentage d’infections de la circulation sanguine dues à certains organismes résistants aux antimicrobiens </strong>. </p>
<p>Ceci est dérivé de ce qui suit et multiplié par 100<sup><a href="#footnote-11" id="footnote-ref-11">[10]</a></sup> : </p>
<p><strong>Numérateur :</strong> Nombre de patients présentant une croissance de <em>S. aureus </em>résistant à la méthicilline ou d’<em>E. coli</em> résistante aux céphalosporines de troisième génération dans des échantillons de sang analysés </p>
<p><strong>Dénominateur :</strong> Nombre total de patients présentant une croissance de <em>S. aureus</em> ou d’ <em>E. coli </em>dans des échantillons de sang analysés </p>
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"> </p>
<p>Stratification : </p>
<p>Les données sont stratifiées selon le sexe et le groupe d'âge. Les données sont agrégées au niveau national. Les données sont analysées et rapportées selon si l'échantillon se trouve dans les 2 jours civils suivant l'admission (origine communautaire) ou après 2 jours civils après l'admission (origine hospitalière).</p>
<p> </p><div class="footnotes"><div><sup class="footnote-number" id="footnote-8">7</sup><p> EUCAST, « EUCAST guidelines for detection of resistance mechanisms and specific resistances of clinical and/or epidemiological importance », 2013, disponible à l'adresse : http://www.amcli.it/wp-content/uploads/2015/10/</p><p>EUCAST_detection_resistance_mechanisms_V1.pdf </p><p>CLSI, « M100 Performance Standards for Antimicrobial Susceptibility Testing », 27th ed, 2017. <a href="#footnote-ref-8">&#x2191;</a></p></div><div><sup class="footnote-number" id="footnote-9">8</sup><p> <strong>« National antimicrobial resistance surveillance systems and participation in the Global Antimicrobial Resistance Surveillance System (GLASS): </strong>A guide to planning, implementation, and monitoring and evaluation » (2016). <a href="https://www.who.int/publications/i/item/WHO-DGO-AMR-2016.4</a> <a href="#footnote-ref-9">&#x2191;</a></p></div><div><sup class="footnote-number" id="footnote-10">9</sup><p> <strong>« Global Antimicrobial Resistance Surveillance System: </strong>Manual for Early Implementation » (2015). <a href="https://www.who.int/antimicrobial-resistance/publications/surveillance-system-manual/en/">https://www.who.int/antimicrobial-resistance/publications/surveillance-system-manual/en/</a> <a href="#footnote-ref-10">&#x2191;</a></p></div><div><sup class="footnote-number" id="footnote-11">10</sup><p> À la fois pour l'identification des espèces et les tests de sensibilité aux antimicrobiens (AST) <a href="#footnote-ref-11">&#x2191;</a></p></div></div>
DATA_SOURCE
<p>Ministries of Health </p>
<p> </p>
<p>Ministères de la Santé </p>
<p> </p>

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Translation changed

  1. SDG Metadata
  2. 3-d-2
  3. French
<p>WHO </p>
<p>OMS </p>
2 years ago
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  1. SDG Metadata
  2. 3-d-2
  3. French
<p>WHO </p>
<p>OMS </p>
2 years ago
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Key
COMPILING_ORG
Flags
ignore-inconsistent
String age
2 years ago
Last updated
a year ago
Source string age
2 years ago
Translation file
translations-metadata/fr/3-d-2.yml, string 11