SDG Metadata/2-2-2a — Arabic @ Hosted Weblate

32	Strings	0%	Browse Translate
4,147	Words	0%
31,004	Characters	0%

Strings Words Characters
32 4,147 31,004	All strings	Browse Translate Zen
32 4,147 31,004	Unfinished strings	Browse Translate Zen
32 4,147 31,004	Untranslated strings	Browse Translate Zen
32 4,147 31,004	Unfinished strings without suggestions	Browse Translate Zen
6 1,057 6,939	Strings with any failing checks	Browse Translate Zen
6 1,057 6,939	Failing check: Inconsistent	Browse Translate Zen

Overview

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 #542 from weblate/weblate-sdg-metadata-1-1-1a `85d59a4a6e9` brockfanning authored 6 months ago
Last commit in Weblate	Translated using Weblate (Portuguese) `5afc8b49daa` brockfanning authored a month ago
Weblate repository	`https://hosted.weblate.org/git/sdg-metadata/1-1-1a/`
File mask	`translations-metadata/*/2-2-2a.yml`
Monolingual base language file	`translations-metadata/en/2-2-2a.yml`
Translation file	Download `translations-metadata/ar/2-2-2a.yml`
Last change	Aug. 19, 2023, 5:06 p.m.
Last author	None
Language	Arabic
Language code	ar
Text direction	Right to left
Number of speakers	351,664,195
Number of plurals	6
Plural type	Arabic languages
Plurals	Zero	0
	One	1
	Two	2
	Few	3, 4, 5, 6, 7, 8, 9, 10, 103, 104, …
	Many	11, 12, 13, 14, 15, 16, 17, 18, 19, 20, …
	Other	100, 101, 102, 200, 201, 202, 300, 301, 302, 400, …
Plural formula	`n==0 ? 0 : n==1 ? 1 : n==2 ? 2 : n%100>=3 && n%100<=10 ? 3 : n%100>=11 ? 4 : 5`

3 days ago

String statistics

	Strings percent	Hosted strings	Words percent	Hosted words	Characters percent	Hosted characters
Total		32		4,147		31,004
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	0%	0	0%	0	0%	0
Read-only	0%	0	0%	0	0%	0
Failing checks	18%	6	25%	1,057	22%	6,939
Strings with suggestions	0%	0	0%	0	0%	0
Untranslated strings	100%	32	100%	4,147	100%	31,004

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None Resource updated SDG Metadata 2-2-2a Arabic	The “`translations-metadata/en/2-2-2a.yml`” file was changed. a year ago
None String updated in the repository SDG Metadata 2-2-2a Arabic	English <p><strong>URL:</strong></p> <p>data.unicef.org/nutrition/malnutrition.html;</p> <p>https://www.who.int/data/gho/data/themes/topics/joint-child-malnutrition-estimates-unicef-who-wb; http://datatopics.worldbank.org/child-malnutrition;</p> <p><strong>References:</strong></p> <p>de Onis M, Blössner M, Borghi E, et al. (2004), Methodology for estimating regional and global trends of childhood malnutrition. Int J Epidemiol, 33(6):1260-70. <<a href="https://pubmed.ncbi.nlm.nih.gov/15542535/">https://pubmed.ncbi.nlm.nih.gov/15542535/</a>></p> <p>de Onis, M., Onyango, A., Borghi, E., Garza, C., and Yang, H. (2006). Comparison of the World Health Organization (WHO) Child Growth Standards and the National Center for Health Statistics/WHO international growth reference: Implications for child health programmes. Public Health Nutrition, 9(7), 942-947. doi:10.1017/PHN20062005 <<a href="https://www.who.int/childgrowth/publications/Comparison_implications.pdf">https://www.who.int/childgrowth/publications/Comparison_implications.pdf</a>></p> <p>McLain A, Frongillo E, Feng J, Borghi E (2018). Prediction intervals for penalized longitudinal models with multi-source summary measures: an application to childhood malnutrition. Stat Med; 38(6):1002-1012; doi: 10.1002/sim.8024. Epub 2018 Nov 14. <<a href="https://pubmed.ncbi.nlm.nih.gov/30430613/">https://pubmed.ncbi.nlm.nih.gov/30430613/</a>></p> <p>United Nations Children’s Fund (UNICEF), World Health Organization, International Bank for Reconstruction and Development/The World Bank (2019). Meeting report on Technical Consultation on a Country-level model for SDG2.2. December 2019</p> <p>UNICEF-WHO-World Bank (2020). Technical notes from the country consultation on SDG Indicators 2.2.1 on stunting, 2.2.2a on wasting and 2.2.2b on overweight <<a href="https://data.unicef.org/resources/jme-2021-country-consultations/">https://data.unicef.org/resources/jme-2021-country-consultations/</a>></p> <p>WHO (2006). WHO Multicentre Growth Reference Study (MGRS) <https://www.who.int/tools/child-growth-standards/who-multicentre-growth-reference-study></p> <p>World Health Organization and United Nations Children’s Fund (2019). Recommendations for data collection, analysis and reporting on anthropometric indicators in children under 5 years old. Geneva: World Health Organization and the United Nations Children’s Fund (UNICEF), 2019. Licence: CC BY-NC-SA 3.0 IGO. <<a href="https://www.who.int/nutrition/publications/anthropometry-data-quality-report">https://www.who.int/nutrition/publications/anthropometry-data-quality-report</a>></p> <p>WHO. WHO Anthro Survey Analyser (2019). Available at <a href="https://www.who.int/tools/child-growth-standards/software">https://www.who.int/tools/child-growth-standards/software</a>. </p> <p>Yang H and de Onis M (2008). <a href="http://www.who.int/entity/nutgrowthdb/publications/algorithms/en/index.html">Algorithms for converting estimates of child malnutrition based on the NCHS reference into estimates based on the WHO Child Growth Standards</a>. BMC Pediatrics 2008, 8:19 (05 May 2008) <http://www.biomedcentral.com/1471-2431/8/19>.</p> Arabic 0 characters edited Current translation Empty a year ago
None String updated in the repository SDG Metadata 2-2-2a Arabic	English <p><strong>Sources of discrepancies:</strong></p> <p>For the survey estimates included in the JME joint database of primary sources, re-analysis based on standardized methodology using the WHO Child Growth Standards as described in Recommendations for data collection, analysis and reporting on anthropometric indicators in children under 5 years old (<a href="https://data.unicef.org/resources/data-collection-analysis-reporting-on-anthropometric-indicators-in-children-under-5/">WHO/UNICEF 2019</a>) and WHO Anthro Survey Analyser (<a href="https://www.who.int/tools/child-growth-standards/software">WHO, 2019</a>) is applied whenever microdata are available to enhance comparability across the time series. Country teams are encouraged to use the WHO Anthro Survey Analyser (<a href="https://www.who.int/tools/child-growth-standards/software">WHO, 2019</a>) to undertake survey analysis and harmonize with the global standard analysis methods. </p> <p>For the inclusion of survey estimates into the JME database, the inter-agency group applies a set of survey quality assessment criteria. When there is insufficient documentation, the survey is not included until information becomes available. Discrepancies between results from standard methodology and those reported may occur for various reasons, for example, the use of different standards for z-score calculations, imputation of the day of birth when missing, the use of rounded age in months, the use of different flagging systems for data exclusion. For surveys based on the previous NCHS/WHO references, and for which raw data are not available, a method for converting the z-scores to be based on the WHO Child Growth Standards is applied (<a href="http://www.biomedcentral.com/1471-2431/8/19">Yang and de Onis, 2008</a>). In addition, when surveys do not cover the age interval 0-59 months, or are only representative of the rural areas, an adjustment based on other surveys for the same country, is performed. Any adjustment or conversion is transparently stated in the annotated joint data set.</p> <p>The JME country modelled estimates, which are based on smoothing techniques and covariates, as described elsewhere (<a href="https://pubmed.ncbi.nlm.nih.gov/30430613/">McLain et al. 2018</a>), vary from estimates from primary data sources such as household surveys, but in most cases the 95 per cent confidence bounds of the country modelled estimates for a given country in a given year fall within the 95 per cent confidence bounds of the estimate from the primary source for the corresponding country and year(s).</p> Arabic 0 characters edited Current translation Empty a year ago
None String updated in the repository SDG Metadata 2-2-2a Arabic	English <p><strong>Data availability:</strong></p> <p>The JME modelled country estimates from 2000 to 2022 for overweight were released for 161 countries that had at least one primary data source (e.g., from household survey) included in the 2023 JME country database.</p> <p><strong>Time series:</strong></p> <p>At country level, JME country modelled estimates from 2000 to the year before the JME release ) are presented for countries with at least one data point (e.g., from survey/surveillance included in the joint database of primary data sources. Survey years range from 1983 to the year before the JME release. Worldwide and regional annual estimates are available from 2000 to the year before the JME release. </p> <p><strong>Disaggregation:</strong></p> <p>Country, regional and worldwide JME estimates refer to the age group of children under 5 years, sexes combined. Disaggregations are currently not available for the JME modelled estimates. However, a disaggregated dataset of national primary sources with sub national and stratified estimates (e.g., sex, age groups, wealth, mothers' education, residence) is available.</p> Arabic 0 characters edited Current translation Empty a year ago
None String updated in the repository SDG Metadata 2-2-2a Arabic	English <p>Data consistency and quality checks described above are conducted for each potential primary data source (e.g., household survey) before inclusion in the JME country database of primary sources that are used to generate the JME modelled estimates. Cross-validation exercises are performed for the modelled estimates to ensure the method generates estimates that are aligned to national data points. Country consultations with SDG 2.2 focal points an held every other year also provide opportunity to ensure the estimates include all recent and relevant country data. </p> Arabic 0 characters edited Current translation Empty a year ago
None String updated in the repository SDG Metadata 2-2-2a Arabic	English <p>The quality criteria established in the 2019 UNICEF/WHO guidance (<a href="https://data.unicef.org/resources/data-collection-analysis-reporting-on-anthropometric-indicators-in-children-under-5/">WHO/UNICEF, 2019</a>) were used to update the JME primary data source review form . The JME review form is used to abstract key information including methodological details (e.g., sampling procedures, description of anthropometrical equipment), data quality outputs (e.g., response rates, weight and height distributions, percentage of cases that were flagged as having implausible anthropometry outcomes according to the WHO Child Growth Standards) and the malnutrition prevalence estimates from each primary data source (e.g., household survey) under review. One JME working group member fills in the review form for each data source and when information is missing or further details are required, the country teams are contacted. Once all information is available and the JME primary data source review form is completed, each data source is reviewed by the three agencies (UNICEF, WHO, WB) which form the JME working group. This allows for a thorough and efficient standard joint review of each data source by the three agencies prior to inclusion in the JME country database of primary sources (e.g., household surveys) that are used to generate the JME country modelled estimates. </p> Arabic 0 characters edited Current translation Empty a year ago
None String updated in the repository SDG Metadata 2-2-2a Arabic	English <p>The JME working group, which was formed in 2011 with representatives from UNICEF, WHO and the World Bank, is responsible for management of the processes used to develop regular updates of the JME estimates. This includes the regular update of the country database of surveys used to generate the JME country modelled estimates, for which regular communication with regional and country teams allows the JME working group to secure microdata for re-analysis according to the standard method. The JME working group also continuously review methods and considers and tests different methodologies to improve the estimates as necessary. Additionally, a Technical Expert Advisory Group on Nutrition Monitoring (TEAM), jointly established by UNICEF and WHO, provides advice on nutrition monitoring methods and processes, including on the JME.</p> Arabic 0 characters edited Current translation Empty a year ago
None String updated in the repository SDG Metadata 2-2-2a Arabic	English <p>Methods and guidance: </p> <p><a href="https://www.who.int/publications/i/item/9789241515559">Recommendations for data collection, analysis and reporting on anthropometric indicators in children under 5 years of age (WHO/UNICEF, 2019) </a></p> <p>Analysis tool: <a href="https://worldhealthorg.shinyapps.io/anthro/">WHO Anthro Survey Analyser (shinyapps.io)</a></p> <p><a href="https://data.unicef.org/resources/jme-2021-country-consultations/">UNICEF-WHO-World Bank 2020. Technical notes from the country consultation on SDG Indicators 2.2.1 on stunting, 2.2.2a on wasting and 2.2.2b on overweight</a></p> Arabic 0 characters edited Current translation Empty a year ago
None String updated in the repository SDG Metadata 2-2-2a Arabic	English <p>Regional aggregates are available for the following classifications: UN, SDG, UNICEF, WHO, The World Bank regions and income groups. </p> Arabic 0 characters edited Current translation Empty a year ago
None String updated in the repository SDG Metadata 2-2-2a Arabic	English <ul> <li><strong>At country level</strong></li> </ul> <p>Missing values are derived as part of the methods used to generate the JME country modelled estimates by closely fitting the estimates from country data primary sources, with due attention to unwarranted variability. Please refer to <a href="https://pubmed.ncbi.nlm.nih.gov/30430613/">McLain et al. 2018</a> for technical details of the methods applied. Based on these methods, the JME country modelled estimates are produced from 2000 until the year before the year of publication <u>(e.g., until 2022 for the JME 2023 edition)</u> and used to generate regional and worldwide aggregates. For <s>49 of these </s>countries<u> without any primary input data meeting inclusion criteria</u>, the JME country modelled estimates were produced solely for generation of regional and worldwide aggregates, and were not released to the public </p> <ul> <li><strong>At regional and worldwide levels</strong></li> </ul> <p>There are no missing data for the generation of worldwide and regional estimates as modelled estimates are <u>produced for all countries, those with and those without primary data in the JME country database, even though the country estimates are not released to the public for those countries without primary data</u>. </p> Arabic 0 characters edited Current translation Empty a year 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

2-2-2a

Arabic

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