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 User avatar 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
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File mask translations-metadata/*/3-9-2.yml
Monolingual base language file translations-metadata/en/3-9-2.yml
Translation file Download translations-metadata/ru/3-9-2.yml
Last change Aug. 17, 2022, 5:12 p.m.
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Language Russian
Language code ru
Text direction Left to right
Number of speakers 193,498,207
Number of plurals 3
Plural type One/few/many
Plurals One 1, 21, 31, 41, 51, 61, 71, 81, 91, 101, …
Few 2, 3, 4, 22, 23, 24, 32, 33, 34, 42, …
Many 0, 5, 6, 7, 8, 9, 10, 11, 12, 13, …
Plural formula n%10==1 && n%100!=11 ? 0 : n%10>=2 && n%10<=4 && (n%100<10 || n%100>=20) ? 1 : 2
3 hours ago

String statistics

Strings percent Hosted strings Words percent Hosted words Characters percent Hosted characters
Total 32 2,055 18,656
Approved 0% 0 0% 0 0% 0
Waiting for review 6% 2 1% 36 1% 238
Translated 6% 2 1% 36 1% 238
Needs editing 59% 19 81% 1,672 84% 15,701
Read-only 0% 0 0% 0 0% 0
Failing checks 59% 19 81% 1,668 84% 15,747
Strings with suggestions 0% 0 0% 0 0% 0
Untranslated strings 34% 11 16% 347 14% 2,717
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Resource updated
The “translations-metadata/en/3-9-2.yml” file was changed. 2 years ago
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<p><strong>URL:</strong> </p>
<p> </p>
<p>WHO indicator definition <a href="https://www.who.int/data/gho/indicator-metadata-registry/imr-details/2260">https://www.who.int/data/gho/indicator-metadata-registry/imr-details/2260</a> </p>
<p>WHO methods and data sources for global causes of death, 2000&#x2013;2012 <a href="https://cdn.who.int/media/docs/default-source/gho-documents/global-health-estimates/ghe2019_cod_methods.pdf">https://cdn.who.int/media/docs/default-source/gho-documents/global-health-estimates/ghe2019_cod_methods.pdf</a></p>
<p> </p>
<p><strong>References:</strong> </p>
<p>Clasen, T., Pr&#xFC;ss-Ust&#xFC;n, A., Mathers, C. D., Cumming, O., Cairncross, S., &amp; Colford, J. M. (2014). Estimating the impact of unsafe water, sanitation and hygiene on the global burden of disease: evolving and alternative methods. Trop Med Int Health, 19(8), 884-893. <a href="https://doi.org/10.1111/tmi.12330">https://doi.org/10.1111/tmi.12330</a></p>
<p>Ezzati, M., Lopez, A. D., Rodgers, A., Vander Hoorn, S., Murray, C. J., &amp; Group, C. R. A. C. (2002). Selected major risk factors and global and regional burden of disease. Lancet, 360(9343), 1347-1360. <a href="https://doi.org/10.1016/S0140-6736(02)11403-6">https://doi.org/10.1016/S0140-6736(02)11403-6</a></p>
<p>&apos;Pr&#xFC;ss-Ust&#xFC;n, A., Bartram, J., Clasen, T., Colford, J. M., Cumming, O., Curtis, V., . . . Cairncross, S. (2014). Burden of disease from inadequate water, sanitation and hygiene in low- and middle-income settings: a retrospective analysis of data from 145 countries. Trop Med Int Health, 19(8), 894-905. <a href="https://doi.org/10.1111/tmi.12329">https://doi.org/10.1111/tmi.12329</a></p>
<p>Pr&#xFC;ss-Ust&#xFC;n A, Wolf J, Bartram J, Clasen T, Cumming O, Freeman MC, Gordon B, Hunter PR, Medlicott K, Johnston R. (2019) Burden of disease from inadequate water, sanitation and hygiene for selected adverse health outcomes: an updated analysis with a focus on low- and middle-income countries. International journal of hygiene and environmental health. 222(5): 765-77.</p>
<p><a href="https://doi.org/10.1016/j.ijheh.2019.05.004" target="_blank">https://doi.org/10.1016/j.ijheh.2019.05.004</a></p>
<p>&apos;WHO (2014). Preventing diarrhoea through better water, sanitation and hygiene: exposures and impacts in low- and middle-income countries. <a href="https://www.who.int/publications/i/item/9789241564823">https://www.who.int/publications/i/item/9789241564823</a> </p>
<p>Wolf, J., Bonjour, S., &amp; Pr&#xFC;ss-Ust&#xFC;n, A. (2013). An exploration of multilevel modeling for estimating access to drinking-water and sanitation. <em>Journal of Water and Health</em>, <em>11</em>(1), 64-77</p>
<p><a href="https://doi.org/10.2166/wh.2012.107" target="_blank">https://doi.org/10.2166/wh.2012.107</a></p>
<p> </p>
<p> </p>
<p>. </p>
<h1>Ссылки</h1>
<h2>URL:</h2>
<p><a href="http://www.who.int/water_sanitation_health/gbd_poor_water/en/">http://www.who.int/water_sanitation_health/gbd_poor_water/en/</a></p>
<h2>Ссылки:</h2>
<p>1. Определение показателя ВОЗ<a href="http://apps.who.int/gho/data/node.imr.SDGWSHBOD?lang=en">http://apps.who.int/gho/data/node.imr.SDGWSHBOD?lang=en</a></p>
<p><a href="http://www.who.int/water_sanitation_health/gbd_poor_water/en/">http://www.who.int/water_sanitation_health/gbd_poor_water/en/</a></p>
<p>2. Методы и источники данных ВОЗ по глобальным причинам смерти, 2000-2012 годы<a href="http://www.who.int/healthinfo/global_burden_disease/GlobalCOD_method_2000_2012.pdf?ua=1">http://www.who.int/healthinfo/global_burden_disease/GlobalCOD_method_2000_2012.pdf?ua=1</a>).</p>
2 years ago
User avatar None

Source string changed
<p><strong>URL:</strong> </p>
<p> </p>
<p>WHO indicator definition <a href="https://www.who.int/water_sanitation_health/gbd_poor_water/en/ </p>
<p> </p>
<p><strong>References:</strong> </p>
<p> </p>
<p>1. WHO indicator definition data/gho/indicator-metadata-registry/imr-details/2260">https://www.who.int/data/gho/indicator-metadata-registry/imr-details/2260</a> </p>
<p>WHO methods and data sources for global causes of death, 2000&#x2013;2012 <a href="https://cdn.who.int/media/docs/default-source/gho-documents/global-health-estimates/ghe2019_cod_methods.pdf">https://cdn.who.int/media/docs/default-source/gho-documents/global-health-estimates/ghe2019_cod_methods.pdf</a></p>
<p> </p>
<p><strong>References:</strong> </p>
<p>Clasen, T., Pr&#xFC;ss-Ust&#xFC;n, A., Mathers, C. D., Cumming, O., Cairncross, S., &amp; Colford, J. M. (2014). Estimating the impact of unsafe water, sanitation and hygiene on the global burden of disease: evolving and alternative methods. Trop Med Int Health, 19(8), 884-893. <a href="https://apps.who.int/gho/data/node.imr.SDGWSHBOD?lang=en </p>
<p>http://www.who.int/doi.org/10.1111/tmi.12330">https://doi.org/10.1111/tmi.12330</a></p>
<p>Ezzati, M., Lopez, A. D., Rodgers, A., Vander Hoorn, S., Murray, C. J., &amp; Group, C. R. A. C. (2002). Selected major risk factors and global and regional burden of disease. Lancet, 360(9343), 1347-1360. <a href="https://doi.org/10.1016/S0140-6736(02)11403-6">https://doi.org/10.1016/S0140-6736(02)11403-6</a></p>
<p>&apos;Pr&#xFC;ss-Ust&#xFC;n, A., Bartram, J., Clasen, T., Colford, J. M., Cumming, O., Curtis, V., . . . Cairncross, S. (2014). Burden of disease from inadequate water_, sanitation_health/gbd_poor_water/en/ </p>
<p> </p>
<p>2. WHO methods and data sources for global causes of death, 2000&#x2013;2012 (http://www.who.int/healthinfo/global_burden_disease/GlobalCOD_method_2000_2012.pdf?ua=1) and hygiene in low- and middle-income settings: a retrospective analysis of data from 145 countries. Trop Med Int Health, 19(8), 894-905. <a href="https://doi.org/10.1111/tmi.12329">https://doi.org/10.1111/tmi.12329</a></p>
<p>Pr&#xFC;ss-Ust&#xFC;n A, Wolf J, Bartram J, Clasen T, Cumming O, Freeman MC, Gordon B, Hunter PR, Medlicott K, Johnston R. (2019) Burden of disease from inadequate water, sanitation and hygiene for selected adverse health outcomes: an updated analysis with a focus on low- and middle-income countries. International journal of hygiene and environmental health. 222(5): 765-77.</p>
<p><a href="https://doi.org/10.1016/j.ijheh.2019.05.004" target="_blank">https://doi.org/10.1016/j.ijheh.2019.05.004</a></p>
<p>&apos;WHO (2014). Preventing diarrhoea through better water, sanitation and hygiene: exposures and impacts in low- and middle-income countries. <a href="https://www.who.int/publications/i/item/9789241564823">https://www.who.int/publications/i/item/9789241564823</a> </p>
<p>Wolf, J., Bonjour, S., &amp; Pr&#xFC;ss-Ust&#xFC;n, A. (2013). An exploration of multilevel modeling for estimating access to drinking-water and sanitation. <em>Journal of Water and Health</em>, <em>11</em>(1), 64-77</p>
<p><a href="https://doi.org/10.2166/wh.2012.107" target="_blank">https://doi.org/10.2166/wh.2012.107</a></p>
<p> </p>
<p> </p>
<p>. </p>
2 years ago
User avatar None

String updated in the repository
<p><strong>Sources of discrepancies:</strong></p>
<p>WHO is required by World Health Assembly resolution to consult on all WHO statistics, and seek feedback from countries on data about countries and territories. Before publishing, all estimates undergo country consultations. </p>
<h2>Источники расхождений:</h2>
<p>Резолюция Всемирной ассамблеи здравоохранения требует от ВОЗ проводить консультации по всей статистике ВОЗ и запрашивать отзывы стран о данных по странам и территориях. Перед публикацией все оценки проходят через процедуры страновых консультаций.</p>
2 years ago
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String updated in the repository
<p><strong>Data availability:</strong></p>
<p>Data are available for 183 UN Member States, and can be accessed through the WHO Global Health Observatory: https://apps.who.int/gho/data/view.main.INADEQUATEWSHv?lang=en</p>
<p> </p>
<p><strong>Time series:</strong></p>
<p>Previous rounds of estimates have been published with reference years of 2012, 2015, and 2016. As there have been changes in methods for diarrhoea, they have limited comparability. </p>
<p><strong>Disaggregation:</strong></p>
<p>National, regional and global data are available at the total population; disaggregated into male and female populations; and for the population under age five.</p>
<p> </p>
<h1>Доступность данных</h1>
<h2>Описание:</h2>
<p>Данные доступны практически по всем странам. Однако иногда они основаны на статистике здравоохранения, предоставленной международными агентствами, поскольку национальные данные являются неполными. </p>
<p> <strong> Конкретные страновые данные за период с 2010 года и далее:</strong></p>
<p>Азиатско-Тихоокеанский регион - 27% стран (16 из 59 стран, включая Китай и Индию) </p>
<p> Африка - 6% стран (3 из 54 стран) </p>
<p> Латинская Америка и Карибский бассейн - 56% стран (19 из 34 стран) </p>
<p> Европа, Северная Америка, Австралия, Новая Зеландия и Япония - </p>
<p> 94% стран (44 из 47 стран, отсутствуют в основном очень маленькие страны) </p>
<p> <strong> За период 2000-2009 годов: </strong> </p>
<p> Азиатско-Тихоокеанский регион - 27% стран (16 из 59 стран, включая Китай и Индию) </p>
<p> Африка - 6% стран (3 из 54 стран) </p>
<p> Латинская Америка и Карибский бассейн - 56% стран (19 из 34 стран) </p>
<p> Европа, Северная Америка, Австралия, Новая Зеландия и Япония - 94% стран (44 из 47 стран, отсутствуют в основном очень маленькие страны)</p>
<p>Интернет-ссылка на базу данных: <a href="http://apps.who.int/gho/data/node.home%20">http://apps.who.int/gho/data/node.home</a> </p>
<p>Показатель разработан и данные доступны уже более десяти лет. <a href="http://apps.who.int/gho/data/node.main.INADEQUATEWSH?lang=en">http://apps.who.int/gho/data/node.main.INADEQUATEWSH?lang=en</a></p>
<p><a href="http://www.who.int/water_sanitation_health/gbd_poor_water/en/">http://www.who.int/water_sanitation_health/gbd_poor_water/en/</a></p>
<p>ВОЗ сопоставляет данные по странам и использует их для получения глобальных и региональных оценок по этому показателю. </p>
<h2>Временные ряды:</h2>
<p>Доступны ограниченные данные временных рядов (сопоставимые ряды за 2012 год и вскоре будут данные за 2015 год; данные за 2002 год также доступны, но имеют более ограниченную сопоставимость)</p>
<h2>Дезагрегирование:</h2>
<p>Поскольку этот показатель имеет в основе данные по численности населения, географическое положение представляет собой наиболее естественную дезагрегацию. Также существуют данные по возрастным группам и полу. Подобно тому, как Совместная программа мониторинга (СПМ) провела работу по дезагрегации данных по группам дохода (квинтиль благосостояния), данные также могут быть дополнительно дезагрегированы по квинтилям благосостояния.</p>
2 years ago
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Source string changed
<p><strong>Data availability:</strong></p>
<p>Data are available for practically all countries. They are, however, sometimes based on health statistics provided by international agencies as the national data are incomplete. </p>
<p>Actual country data for 2010 onwards period </p>
<p>Asia and Pacific - 27% of countries (16 out of 59 countries, including China and India sample systems) </p>
<p>Africa - 6% of countries (3 out of 54 countries) </p>
<p>Latin America and the Caribbean - 56% of countries (19 out of 34 countries) </p>
<p>Europe, North America, Australia, New Zealand and Japan - </p>
<p>94% of countries (44 out of 47 countries, missing are mainly very small countries) </p>
<p> </p>
<p>For the period 2000-2009 </p>
<p>Asia and Pacific - 27% of countries (16 out of 59 countries, including China and India sample systems) </p>
<p>Africa - 6% of countries (3 out of 54 countries) </p>
<p>Latin America and the Caribbean - 56% of countries (19 out of 34 countries) </p>
<p>Europe, North America, Australia, New Zealand and Japan - 94% of countries (44 out of 47 countries, missing are mainly very small countries) </p>
<p> </p>
<p>Web link to the database: </p>
<p>183 UN Member States, and can be accessed through the WHO Global Health Observatory: https://apps.who.int/gho/data/node.home </p>
<p> </p>
<p>The indicator has been established and available for more than a decade. http://apps.who.int/gho/data/nodeview.main.INADEQUATEWSHv?lang=en </p>
<p>http://www.who.int/water_sanitation_health/gbd_poor_water/en/ </p>
<p> </p>
<p>WHO has been collating country figures and has been using these to produce global and regional estimates against this indicator. </p>
<p> </p>
<p><strong>Time series:</strong></p>
<p>Limited time series data iPrevious rounds of estimates havailable (comparable series fore been published with reference years of 2012 and soon 2015; data for 2002 are also available but, 2015, and 2016. As there have been changes in methods for diarrhoea, they have more limited comparability). </p>
<p><strong>Disaggregation:</strong></p>
<p>Since this indicator is population-based, geographic location is the most natural disaggregation. Data also exists for age group and sex. Similar to JMP&#x2019;s work on disaggregation by income groups (wealth quintile), data can further be disaggregated by wealth quintile.National, regional and global data are available at the total population; disaggregated into male and female populations; and for the population under age five.</p>
<p> </p>
2 years ago
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String updated in the repository
<p>For information on data quality management, assurance, and assessment processes at WHO, please refer to: <a href="https://www.who.int/data/ddi">https://www.who.int/data/ddi</a></p>
 
2 years ago
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String updated in the repository
<p>For information on data quality management, assurance, and assessment processes at WHO, please refer to: <a href="https://www.who.int/data/ddi">https://www.who.int/data/ddi</a></p>
 
2 years ago
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String updated in the repository
<p>For information on data quality management, assurance, and assessment processes at WHO, please refer to: <a href="https://www.who.int/data/ddi">https://www.who.int/data/ddi</a></p>
 
2 years ago
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String updated in the repository
<p>Data for this indicator are not routinely collected by countries. Rather, they are modelled using Comparative Risk Assessment methods<sup><a href="#footnote-2" id="footnote-ref-2">[1]</a></sup> (For further information please see section 4.c.). However, while countries do not routinely collect these data to feed into the global figures for indicator 3.9.2, there have been a small number of requests for technical assistance from WHO country offices for support in the country-level calculation of WASH-attributable disease burden. A country tool is in development to enable countries to calculate the estimated burden of disease associated with WASH for their own country, and this will be available later this year. </p><div class="footnotes"><div><sup class="footnote-number" id="footnote-2">1</sup><p> Pr&#xFC;ss-Ust&#xFC;n A, Wolf J, Bartram J, Clasen T, Cumming O, Freeman MC, Gordon B, Hunter PR, Medlicott K, Johnston R. Burden of disease from inadequate water, sanitation and hygiene for selected adverse health outcomes: an updated analysis with a focus on low- and middle-income countries. International journal of hygiene and environmental health. 2019 Jun 1; 222(5): 765-77. <a href="#footnote-ref-2">&#x2191;</a></p></div></div>
 
2 years ago
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