SDG Metadata/2-2-3 — Spanish @ Hosted Weblate

32	Strings	0%	Browse Translate
2,380	Words	0%
18,799	Characters	0%

Strings Words Characters
32 2,380 18,799	All strings	Browse Translate Zen
32 2,380 18,799	Unfinished strings	Browse Translate Zen
9 460 3,385	Untranslated strings	Browse Translate Zen
23 1,920 15,414	Strings marked for edit	Browse Translate Zen
32 2,380 18,799	Unfinished strings without suggestions	Browse Translate Zen
23 2,062 16,470	Strings with any failing checks	Browse Translate Zen
4 216 1,564	Failing check: Inconsistent	Browse Translate Zen
13 1,165 8,967	Failing check: Mismatching line breaks	Browse Translate Zen
19 1,846 14,906	Failing check: XML markup	Browse Translate Zen

Project website	github.com/worldbank/sdg-metadata
Instructions for translators	This project is limited to Russian translation only, for now. More detailed instructions to come.
Project maintainers	brockfanning
Translation license	MIT License
Translation process	Translations can be made directly. Translation suggestions are turned off. Translations are reviewed by dedicated reviewers. Any authenticated user can contribute. The translation uses monolingual files. The translation base language can not be edited.
Source code repository	`https://github.com/worldbank/sdg-metadata`
Repository branch	master
Last remote commit	Merge pull request #553 from weblate/weblate-sdg-metadata-1-1-1a `d3a3ca3e2bb` brockfanning authored a month ago
Last commit in Weblate	Merge pull request #553 from weblate/weblate-sdg-metadata-1-1-1a `d3a3ca3e2bb` brockfanning authored a month ago
Weblate repository	`https://hosted.weblate.org/git/sdg-metadata/1-1-1a/`
File mask	`translations-metadata/*/2-2-3.yml`
Monolingual base language file	`translations-metadata/en/2-2-3.yml`
Translation file	Download `translations-metadata/es/2-2-3.yml`
Last change	April 9, 2022, 1:54 a.m.
Last change made by	None
Language	Spanish
Language code	es
Text direction	Left to right
Number of speakers	506,540,366
Number of plurals	2
Plural type	One/other
Plurals	Singular	1
Plural	0, 2, 3, 4, 5, 6, 7, 8, 9, 10, …
Plural formula	`n != 1`

	Strings percent	Hosted strings	Words percent	Hosted words	Characters percent	Hosted characters
Total		32		2,380		18,799
Approved	0%	0	0%	0	0%	0
Waiting for review	0%	0	0%	0	0%	0
Translated	0%	0	0%	0	0%	0
Needs editing	71%	23	80%	1,920	81%	15,414
Read-only	0%	0	0%	0	0%	0
Failing checks	71%	23	86%	2,062	87%	16,470
Strings with suggestions	0%	0	0%	0	0%	0
Untranslated strings	28%	9	19%	460	18%	3,385

None Resource updated SDG Metadata 2-2-3 Spanish	The “`translations-metadata/en/2-2-3.yml`” file was changed. 2 years ago
None String updated in the repository SDG Metadata 2-2-3 Spanish	English <p>• WHO Global Anaemia estimates, 2021 Edition. Global anaemia estimates in women of reproductive age, by pregnancy status, and in children aged 6-59 months. Geneva: World Health Organization; 2021 (Available at https://www.who.int/data/gho/data/themes/topics/anaemia_in_women_and_children)$</p> <p>• WHO Micronutrients database. Vitamin and Mineral Nutrition Information System (VMNIS). Geneva: World Health Organization; 2021 (Available at https://www.who.int/teams/nutrition-and-food-safety/databases/vitamin-and-mineral-nutrition-information-system)</p> <p>• WHO. Haemoglobin concentrations for the diagnosis of anaemia and assessment of severity. Vitamin and Mineral Nutrition Information System. Geneva, World Health Organization, 2011 (WHO/NMH/NHD/MNM/11.1) (Available at http://www.who.int/vmnis/indicators/haemoglobin.pdf)</p> <p>• Stevens GA, Finucane MM, De-Regil LM, Paciorek CJ, Flaxman SR , Branca F, Peña-Rosas JP, Bhutta ZA, Ezzati M, Nutrition Impact Model Study Group (Anaemia). Global, regional, and national trends in haemoglobin concentration and prevalence of total and severe anaemia in children and pregnant and non-pregnant women for 1995-2011: a systematic analysis of population-representative data. Lancet Glob Health. 2013 Jul;1(1):e16-25. doi: 10.1016/S2214-109X(13)70001-9. Epub 2013 Jun 25.</p> <p>• WHO. Comprehensive Implementation Plan on Maternal, Infant and Young Child Nutrition. Geneva: World Health Organization; 2014. (Available at https://apps.who.int/iris/bitstream/handle/10665/113048/WHO_NMH_NHD_14.1_eng.pdf)</p> <p>• WHO. Global nutrition targets 2025: anaemia policy brief (WHO/NMH/NHD/14.4). Geneva: World Health (Available at https://www.who.int/publications/i/item/WHO-NMH-NHD-14.4) Organization; 2014.</p> <p>• Global anaemia reduction efforts among women of reproductive age: impact, achievement of targets and the way forward for optimizing efforts. Geneva: World Health Organization; 2020. Licence: CC BY-NCSA 3.0 IGO. (Available at https://www.who.int/publications/i/item/9789240012202) </p> <p>• Nutritional anaemias: tools for effective prevention and control. Geneva: World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO (Available at http://apps.who.int/iris/bitstream/handle/10665/259425/9789241513067-eng.pdf) </p> <p>• Every Woman Every Child. Global strategy for women's, children's and adolescents' health. New York: United Nations; 2015. (Available at https://www.who.int/life-course/partners/global-strategy/globalstrategyreport2016-2030-lowres.pdf</p> Spanish 0 characters edited Current translation Needs editing <h1>Referencias</h1> <h2>URL: </h2> <p><a href="https://www.who.int/nutrition/global-target-2025">https://www.who.int/nutrition/global-target-2025</a></p> <p><a href="http://apps.who.int/iris/bitstream/handle/10665/259904/9789241513609-eng.pdf;jsessionid=4F4165EBA8F217E2F555AE98E977981D?sequence=1">http://apps.who.int/iris/bitstream/handle/10665/259904/9789241513609-eng.pdf;jsessionid=4F4165EBA8F217E2F555AE98E977981D?sequence=1</a></p> <p><a href="https://www.who.int/nutrition/publications/globaltargets2025_policybrief_anaemia/en/">https://www.who.int/nutrition/publications/globaltargets2025_policybrief_anaemia/en/</a></p> <h2>Referencias: </h2> <p>OMS. Plan integral de aplicación sobre la nutrición de la madre, el lactante y el niño pequeño. Ginebra: Organización Mundial de la Salud; 2014</p> <p>Todas las mujeres, todos los niños. Estrategia mundial para la salud de la mujer, el niño y los adolescente. Nueva York: Naciones Unidas; 2015</p> <p>OMS. Objetivos mundiales de nutrición 2025: Informe de política sobre la anemia (WHO/NMH/NHD/14.4). Ginebra: Organización Mundial de la Salud; 2014</p> 2 years ago
None Source string changed SDG Metadata 2-2-3 Spanish	English 2062 characters edited <p><strong>URL: </strong></p> <p><a href="https://www.who.int/nutrition/global-target-2025">• WHO Global Anaemia estimates, 2021 Edition. Global anaemia estimates in women of reproductive age, by pregnancy status, and in children aged 6-59 months. Geneva: World Health Organization; 2021 (Available at https://www.who.int/data/gho/data/themes/topics/anaemia_in_women_and_children)$</p> <p>• WHO Micronutrients database. Vitamin and Mineral Nutrition Information System (VMNIS). Geneva: World Health Organization; 2021 (Available at https://www.who.int/teams/nutrition/global-target-2025</a></p> <p><a href="-and-food-safety/databases/vitamin-and-mineral-nutrition-information-system)</p> <p>• WHO. Haemoglobin concentrations for the diagnosis of anaemia and assessment of severity. Vitamin and Mineral Nutrition Information System. Geneva, World Health Organization, 2011 (WHO/NMH/NHD/MNM/11.1) (Available at http://~~apps~~www.who.int/~~iris/bitstream/handle/10665/259904/9789241513609-eng.pdf;jsessionid=4F4165EBA8F217E2F555AE98E977981D?sequence=1">~~vmnis/indicators/haemoglobin.pdf)</p> <p>• Stevens GA, Finucane MM, De-Regil LM, Paciorek CJ, Flaxman SR , Branca F, Peña-Rosas JP, Bhutta ZA, Ezzati M, Nutrition Impact Model Study Group (Anaemia). Global, regional, and national trends in haemoglobin concentration and prevalence of total and severe anaemia in children and pregnant and non-pregnant women for 1995-2011: a systematic analysis of population-representative data. Lancet Glob Health. 2013 Jul;1(1):e16-25. doi: 10.1016/S2214-109X(13)70001-9. Epub 2013 Jun 25.</p> <p>• WHO. Comprehensive Implementation Plan on Maternal, Infant and Young Child Nutrition. Geneva: World Health Organization; 2014. (Available at https://apps.who.int/iris/bitstream/handle/10665/259904/9789241513609-eng.pdf;jsessionid=4F4165EBA8F217E2F555AE98E977981D?sequence=1</a></p> <p><a href="https://www.who.int/nutrition/publications/global113048/WHO_NMH_NHD_14.1_eng.pdf)</p> <p>• WHO. Global nutrition targets 2025_: anaemia policy brief~~_anaemia/en/">~~ (WHO/NMH/NHD/14.4). Geneva: World Health (Available at https://www.who.int/~~nutrition/~~publications/globaltargets2025_policybrief_anaemia/en/</a></p> <p><strong>References:</strong> </p> <p>WHO. Comprehensive Implementation Plan on Maternal, Infant and Young Child Nutrition. Geneva: World Health Organization; 2014</p> <p>i/item/WHO-NMH-NHD-14.4) Organization; 2014.</p> <p>• Global anaemia reduction efforts among women of reproductive age: impact, achievement of targets and the way forward for optimizing efforts. Geneva: World Health Organization; 2020. Licence: CC BY-NCSA 3.0 IGO. (Available at https://www.who.int/publications/i/item/9789240012202) </p> <p>• Nutritional anaemias: tools for effective prevention and control. Geneva: World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO (Available at http://apps.who.int/iris/bitstream/handle/10665/259425/9789241513067-eng.pdf) </p> <p>• Every Woman Every Child. Global strategy for women's, children's and adolescents' health. New York: United Nations; 2015</p> <p>WHO. Global Nutrition Targets 2025: Anaemia policy brief (WHO/NMH/NHD/14.4). Geneva: World Health Organization; 2014. (Available at https://www.who.int/life-course/partners/global-strategy/globalstrategyreport2016-2030-lowres.pdf</p> 2 years ago
None String updated in the repository SDG Metadata 2-2-3 Spanish	English <p>This indicator is part of the Global Nutrition Monitoring Framework (GNMF), for which operational guidance is offered to countries – the Global nutrition monitoring framework: Operational guidance for tracking progress in meeting targets for 2025 available at https://www.who.int/publications/i/item/9789241513609 in the six UN official languages.</p> <p>WHO in collaboration with UNICEF, the US Centers for Disease Control and Prevention and Nutrition International updated a Micronutrient Survey Manual, containing details about conducting and national nutrition survey and reporting results.<sup><a href="#footnote-2" id="footnote-ref-2">[1]</a></sup></p> <p> </p><div class="footnotes"><div><sup class="footnote-number" id="footnote-2">1</sup><p>Centers for Disease Control and Prevention, World Health Organization, Nutrition International, UNICEF. Micronutrient survey manual. Geneva: World Health Organization; 2020. Licence: CC BY-NC-SA 3.0 IGO. <a href="#footnote-ref-2">↑</a></p></div></div> Spanish 0 characters edited Current translation Needs editing <p><strong>Métodos y directrices disponibles para los países para la recopilación de los datos a nivel nacional:</strong></p> <p>Este indicador forma parte del Marco Mundial de Vigilancia de la Nutrición (MMVN), para el que se ofrece a los países una orientación operativa – Marco Mundial de Vigilancia de la Nutrición: Orientación operativa para el seguimiento de los avances en el cumplimiento de las metas para 2025 disponible en <a href="https://www.who.int/nutrition/publications/operational-guidance-GNMF-indicators">https://www.who.int/nutrition/publications/operational-guidance-GNMF-indicators</a> en los seis idiomas oficiales de la ONU.</p> <p>La OMS también colabora con UNICEF, los Centros para el Control y la Prevención de Enfermedades de EE.UU. y Nutrición Internacional para actualizar un Manual de Encuesta sobre Micronutrientes, que contiene detalles sobre la realización de una encuesta nacional sobre nutrición y la presentación de los resultados<sup><a href="#footnote-1" id="footnote-ref-1">[1]</a></sup></p><div class="footnotes"><div><sup class="footnote-number" id="footnote-1">1</sup><p><a href="http://mnsurveytoolkit.nutritionintl.org/">http://mnsurveytoolkit.nutritionintl.org/</a><a href="#footnote-ref-1">↑</a></p></div></div> 2 years ago
None Source string changed SDG Metadata 2-2-3 Spanish	English 136 characters edited <p>This indicator is part of the Global Nutrition Monitoring Framework (GNMF), for which operational guidance is offered to countries – the Global nutrition monitoring framework: Operational guidance for tracking progress in meeting targets for 2025 available at ~~<a href="~~https://www.who.int/~~nutrition/~~publications/~~operational-guidance-GNMF-indicators">https://www.who.int/nutrition/publications/operational-guidance-GNMF-indicators</a>~~i/item/9789241513609 in the six UN official languages.</p> <p>WHO in collaborationg with UNICEF, the US Centers for Disease Control and Prevention and Nutrition International updated a Micronutrient Survey Manual, containing details about conducting and national nutrition survey and reporting results.<sup><a href="#footnote-2" id="footnote-ref-2">[1]</a></sup></p> <p> </p><div class="footnotes"><div><sup class="footnote-number" id="footnote-2">1</sup><p>Centers for Disease Control and Prevention, World Health Organization, Nutrition International, UNICEF. Micronutrient survey manual. Geneva: World Health Organization; 2020. Licence: CC BY-NC-SA 3.0 IGO. <a href="#footnote-ref-2">↑</a></p></div></div> 2 years ago
None String updated in the repository SDG Metadata 2-2-3 Spanish	English <p>Data on mean haemoglobin and anaemia prevalence from high-altitude countries that were not adjusted for altitude when published were adjusted for altitude by WHO, as described in Stevens et al (2013). The Bayesian hierarchical mixture internally adjusts summary statistics computed with non-standard haemoglobin cut-offs to match the standard WHO cut-offs listed above. </p> Spanish 0 characters edited Current translation Empty 2 years ago
None String updated in the repository SDG Metadata 2-2-3 Spanish	English <p>Prevalence of anaemia and/or mean haemoglobin in women of reproductive age were obtained from 408 population-representative data sources from 124 countries worldwide. Data collected from 1995 to 2020 were used. Adjustment of data on blood haemoglobin concentrations for altitude and smoking was carried out whenever possible. Biologically implausible haemoglobin values (<25 g/L or >200 g/L) were excluded. A Bayesian hierarchical mixture model was used to estimate haemoglobin distributions and systematically addressed missing data, non-linear time trends, and representativeness of data sources. </p> <p>Full details on statistical methods may be found <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4547326/">here</a>: Global, regional, and national trends in haemoglobin concentration and prevalence of total and severe anaemia in children and pregnant and non-pregnant women for 1995–2011: a systematic analysis of population-representative data (Stevens et al, 2013). </p> <p>Briefly, the model calculates estimates for each country and year, informed by data from that country and year themselves, if available, and by data from other years in the same country and in other countries with data for similar time periods, especially countries in the same region. The model borrows data, to a greater extent, when data are non-existent or weakly informative, and to a lesser degree for data-rich countries and regions. The resulting estimates are also informed by covariates that help predict blood haemoglobin concentrations (e.g. socio-demographic index, meat supply (kcal/capita), mean BMI for women and log of under-five mortality for children). The uncertainty ranges (credibility intervals) reflect the major sources of uncertainty, including sampling error, non-sampling error due to issues in sample design/measurement, and uncertainty from making estimates for countries and years without data.</p> Spanish 0 characters edited Current translation Needs editing <h1>Metodología</h1> <h2>Método de cálculo:</h2> <p>El estado de anemia de las mujeres se evalúa mediante las concentraciones de hemoglobina en sangre. En las encuestas, las concentraciones de hemoglobina en sangre suelen medirse con el método directo de la cianometahemoglobina en un laboratorio o con un fotómetro de hemoglobina portátil a pilas en el campo que utiliza el método de la azida-metahemoglobina.</p> <p>La prevalencia de la anemia y/o la hemoglobina media en mujeres en edad reproductiva se obtuvo de 303 fuentes de datos representativas de la población de 116 países de todo el mundo. Se utilizaron datos recogidos entre 1990 y 2016. Siempre que fue posible, se ajustaron los datos sobre las concentraciones de hemoglobina en sangre en función de la altitud y el tabaquismo. Se excluyeron los valores de hemoglobina biológicamente inverosímiles (<25 g/L o >200 g/L). Se utilizó un modelo de mezcla jerárquica bayesiana para estimar las distribuciones de hemoglobina y se abordaron sistemáticamente los datos que faltaban, las tendencias temporales no lineales y la representatividad de las fuentes de datos. Los detalles completos de los métodos estadísticos pueden encontrarse <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4547326/">aquí</a>: Tendencias mundiales, regionales y nacionales en la concentración de hemoglobina y la prevalencia de anemia total y grave en niños y mujeres embarazadas y no embarazadas para 1995–2011: un análisis sistemático de datos representativos de la población (Stevens et al, 2013). Brevemente, el modelo calcula estimaciones para cada país y año, informadas por los datos de ese país y año en sí, si están disponibles, y por los datos de otros años en el mismo país y en otros países con datos para períodos de tiempo similares, especialmente los países de la misma región. El modelo toma prestados los datos, en mayor medida, cuando los datos son inexistentes o poco informativos, y en menor grado para los países y regiones con muchos datos. Las estimaciones resultantes también se basan en covariables que ayudan a predecir las concentraciones de hemoglobina en la sangre (por ejemplo, la educación materna, la prevalencia de los trastornos de células falciformes, la puntuación z (z-score)media del peso para la edad de los niños). Los rangos de incertidumbre (intervalos de confianza) reflejan las principales fuentes de incertidumbre, como el error de muestreo, el error ajeno al muestreo debido a problemas en el diseño/medición de la muestra y la incertidumbre derivada de la realización de estimaciones para países y años sin datos.</p> 2 years ago
None Source string changed SDG Metadata 2-2-3 Spanish	English 16 characters edited <p>Prevalence of anaemia and/or mean haemoglobin in women of reproductive age were obtained from 408 population-representative data sources from 124 countries worldwide. Data collected from 1995 to 2020 were used. Adjustment of data on blood haemoglobin concentrations for altitude and smoking was carried out whenever possible. Biologically implausible haemoglobin values (<25 g/L or >200 g/L) were excluded. A Bayesian hierarchical mixture model was used to estimate haemoglobin distributions and systematically addressed missing data, non-linear time trends, and representativeness of data sources. </p> <p>Full details on statistical methods may be found <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4547326/">here</a>: Global, regional, and national trends in haemoglobin concentration and prevalence of total and severe anaemia in children and pregnant and non-pregnant women for 1995–2011: a systematic analysis of population-representative data (Stevens et al, 2013). </p> <p>Briefly, the model calculates estimates for each country and year, informed by data from that country and year themselves, if available, and by data from other years in the same country and in other countries with data for similar time periods, especially countries in the same region. The model borrows data, to a greater extent, when data are non-existent or weakly informative, and to a lesser degree for data-rich countries and regions. The resulting estimates are also informed by covariates that help predict blood haemoglobin concentrations (e.g. socio-demographic index, meat supply (kcal/capita), mean BMI for women and log of under-five mortality for children). The uncertainty ranges (credibility intervals) reflect the major sources of uncertainty, including sampling error, non-sampling error due to issues in sample design/measurement, and uncertainty from making estimates for countries and years without data.</p> 2 years ago
None String updated in the repository SDG Metadata 2-2-3 Spanish	English <p>The preferable source of data is population-based surveys. Data from surveillance systems may be used under some conditions, but recorded diagnoses are typically underestimated. Data are from the Micronutrients Database of the WHO Vitamin and Mineral Nutrition Information System (VMNIS) (https://www.who.int/teams/nutrition-and-food-safety/databases/vitamin-and-mineral-nutrition-information-system This database compiles and summarizes data on the micronutrient status of populations from various other sources, including data collected from the scientific literature and through collaborators, including WHO regional and country offices, United Nations organizations, ministries of health, research and academic institutions, and nongovernmental organizations. In addition, anonymized individual-level data are obtained from multi-country surveys, including demographic and health surveys, multiple indicator cluster surveys, reproductive health surveys and malaria indicator surveys.</p> Spanish 0 characters edited Current translation Needs editing <h1>Fuentes de datos</h1> <h2>Descripción:</h2> <p>La fuente de datos preferida son las encuestas de población, seguidas de los datos de los sistemas de vigilancia. En algunos casos, se obtienen datos anónimos a nivel individual a partir de encuestas de varios países, incluidas las encuestas demográficas y de salud, las encuestas de grupos de indicadores múltiples, las encuestas de salud reproductiva y las encuestas de indicadores de malaria. Sin embargo, la base de datos sobre micronutrientes del Sistema de Información sobre Vitaminas y Minerales (VMNIS) de la OMS (<a href="https://www.who.int/vmnis/database/en/">https://www.who.int/vmnis/database/en/</a>) recopila y resume datos sobre el estado de los micronutrientes de las poblaciones procedentes de otras fuentes, incluidos los datos recogidos en la literatura científica y a través de colaboradores, como las oficinas regionales y nacionales de la OMS, las organizaciones de las Naciones Unidas, los ministerios de salud, las instituciones académicas y de investigación y las organizaciones no gubernamentales.</p> 2 years ago
None Source string changed SDG Metadata 2-2-3 Spanish	English 93 characters edited <p>The preferable source of data is population-based surveys. Data from surveillance systems may be used under some conditions, but recorded diagnoses are typically underestimated. Data are from the Micronutrients Database of the WHO Vitamin and Mineral Nutrition Information System (VMNIS) (~~<a href="~~https://www.who.int/~~vmnis/database/en/">https://www.who.int/vmnis/database/en/</a>).~~teams/nutrition-and-food-safety/databases/vitamin-and-mineral-nutrition-information-system This database compiles and summarizes data on the micronutrient status of populations from various other sources, including data collected from the scientific literature and through collaborators, including WHO regional and country offices, United Nations organizations, ministries of health, research and academic institutions, and nongovernmental organizations. In addition, anonymized individual-level data are obtained from multi-country surveys, including demographic and health surveys, multiple indicator cluster surveys, reproductive health surveys and malaria indicator surveys.</p> 2 years ago

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32	File in original format as translated in the repository	YAML file
32	All strings, converted files enriched with comments; suitable for offline translation	Android String Resource	CSV	JSON	JSON nested structure file	gettext PO	iOS strings	TBX	TMX	XLIFF 1.1 with gettext extensions	XLIFF 1.1	XLSX
32	Unfinished strings, converted files enriched with comments; suitable for offline translation	Android String Resource	CSV	JSON	JSON nested structure file	gettext PO	iOS strings	TBX	TMX	XLIFF 1.1 with gettext extensions	XLIFF 1.1	XLSX

Review strings changed by other users	`changed:>="1 month ago" AND NOT changed_by:anonymous`	Add
Translated strings	`state:>=translated`	Add
Strings with comments	`has:comment`	Add
Strings with any failing checks	`has:check`	Add
Strings with suggestions from others	`has:suggestion AND NOT suggestion_author:anonymous`	Add
Approved strings with suggestions	`state:approved AND has:suggestion`	Add
All untranslated strings added the past month	`added:>="1 month ago" AND state:<=needs-editing`	Add
Strings changed in the past two weeks	`changed:>="2 weeks ago"`	Add

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SDG Metadata

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Spanish

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