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            "id": 63776556,
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            "timestamp": "2023-08-19T16:58:23.321838+02:00",
            "action": 59,
            "target": "<h1> Ссылки </h1>\n<h2> URL: </h2>\n<p> <a href=\"www.who.int/gho/phe\"> www.who.int/gho/phe </a> </p>\n<h2> Ссылки: </h2>\n<p> Shaddick G et al (2016). Data Integration Model for Air Quality: A Hierarchical Approach to the Global Estimation of Exposures to Ambient Air Pollution. Royal Statistical Society, arXiv:1609.0014. </p>\n<p> WHO (2016a). Ambient air pollution: a global assessment of exposure and burden of disease, WHO Geneva. </p>\n<p> WHO (2016b). WHO Urban ambient air quality database, WHO Geneva. </p>",
            "id": 63776555,
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            "timestamp": "2023-08-19T16:58:23.321781+02:00",
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            "target": "<p><strong>URL:</strong></p>\n<p>[1]: https://www.who.int/data/gho/data/themes/air-pollution</p>\n<p><strong>References:</strong></p>\n<ul>\n  <li>Shaddick G et al (2016). <em>Data Integration Model for Air Quality: A Hierarchical Approach to the Global Estimation of Exposures to Ambient Air Pollution. Royal Statistical Society</em>, arXiv: 1609.0014.</li>\n  <li>WHO (2016). <em>Ambient air pollution: a global assessment of exposure and burden of disease</em>, WHO Geneva.</li>\n  <li>WHO (2022). <em>WHO Urban ambient air quality database</em>, WHO Geneva.</li>\n</ul>",
            "id": 63776554,
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            "timestamp": "2023-08-19T16:58:23.321721+02:00",
            "action": 59,
            "target": "<h2> Источники расхождений: </h2>\n<p> Источник различий между глобальными и национальными данными: смоделированные оценки в сравнении со среднегодовыми концентрациями, полученными из измерений на поверхности земли. </p>",
            "id": 63776553,
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            "timestamp": "2023-08-19T16:58:23.321663+02:00",
            "action": 30,
            "target": "<p><strong>Sources of discrepancies:</strong></p>\n<p><strong>The source of differences between global and national figures:</strong> Modelled estimates versus annual mean concentrations obtained from ground measurements.</p>",
            "id": 63776552,
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            "timestamp": "2023-08-19T16:58:23.321605+02:00",
            "action": 59,
            "target": "<h1> Доступность данных </h1>\n<h2> Описание: </h2>\n<p>Показатель доступен для 178 стран. К странам, по которым отсутствуют данные, относятся в основном малые островные государства в западной части Тихого океана, а также в регионах Латинской Америки и Карибского бассейна.</p>\n<h2> Временные ряды: </h2>\n<p> Готовятся к распространению</p>\n<h2> Дезагрегирование: </h2>\n<p> Показатель доступен с размером сетки 0,1 &#xB0; x 0,1 &#xB0; для всего мира. </p>",
            "id": 63776551,
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            "timestamp": "2023-08-19T16:58:23.321546+02:00",
            "action": 30,
            "target": "<p><strong>Data availability:</strong></p>\n<p>The indicator is available for 232 countries. Missing countries include mostly Small State Islands in the Western Pacific and in the Latin American and the Caribbean regions.</p>\n<p><strong>Time series:</strong></p>\n<p>The indicator provides estimates from 2010 to most recent reporting period. Previous data estimates are updated with when there have been changes in modelling method and input data.</p>\n<p><strong>Disaggregation:</strong></p>\n<p>The indicator is available by 0.1&#xB0; x 0.1&#xB0; grid size for the world. National, regional and global data are disaggregated into cities, towns, urban and rural areas. </p>",
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            "timestamp": "2023-08-19T16:58:23.321495+02:00",
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            "target": "",
            "id": 63776549,
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            "timestamp": "2023-08-19T16:58:23.321460+02:00",
            "action": 59,
            "target": "<h2> Обеспечение качества: </h2>\n<p> Исходными данными для модели являются официальные либо опубликованные данные по качеству воздуха или по другим соответствующим темам. Смоделированные оценки подвергаются тщательной перекрестной проверке и сравниваются с официальными данными, полученными при измерениях на поверхности земли. </p>",
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            "user": null,
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            "timestamp": "2023-08-19T16:58:23.321417+02:00",
            "action": 30,
            "target": "<p>Data inputs to the model are official or published data on air quality or other relevant topics. Modelled estimates are carefully crossed-checked and compared with official ground measurements.</p>\n<p>Consultation/validation process with countries for adjustments and estimates. Data inputs, methods and final estimates are shared with countries prior to publication via WHO official communication channels with WHO Member States.</p>\n<p>https://www.who.int/teams/environment-climate-change-and-health/air-quality-and-health</p>",
            "id": 63776547,
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            "timestamp": "2023-08-19T16:58:23.321376+02:00",
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            "id": 63776546,
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            "timestamp": "2023-08-19T16:58:23.321319+02:00",
            "action": 59,
            "target": "<h2> Доступные странам методы и руководства для составления данных на национальном уровне:</h2>\n<p>Страны, в которых имеются сети мониторинга качества воздуха, расположенные на городских территориях, могут использовать данные среднегодовых концентраций, полученные при измерениях на поверхности земли, и соответствующего количества жителей, чтобы определить воздействие твердых частиц в городах, взвешенное на численность населения. </p>",
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            "timestamp": "2023-08-19T16:58:23.321264+02:00",
            "action": 30,
            "target": "<p>Countries which have air quality monitoring networks in place in urban areas can use the annual mean concentrations from the ground measurements and the corresponding number of inhabitants to derive the population-weighted exposure to particulate matter in cities.</p>",
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            "timestamp": "2023-08-19T16:58:23.321215+02:00",
            "action": 59,
            "target": "<h2> Региональные агрегаты: </h2>\n<p> Региональные и глобальные агрегированные показатели представляют собой национальные оценки, взвешенные на численность населения. </p>\n<p> Cagg = SUM (Cnat * Pnat) / SUM (Pnat) </p>\n<p> где Cagg - региональная / глобальная оценка, Cnat - национальная оценка, Pnat - население страны. Сумма составляется из данных стран, входящих в регион (региональный агрегат), или из данных по всем странам (глобальный агрегат). </p>",
            "id": 63776543,
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            "timestamp": "2023-08-19T16:58:23.321178+02:00",
            "action": 30,
            "target": "<p>The regional and global aggregates are population-weighted figures of the national estimates.</p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <msub>\n      <mrow>\n        <mi>C</mi>\n      </mrow>\n      <mrow>\n        <mi>a</mi>\n        <mi>g</mi>\n        <mi>g</mi>\n      </mrow>\n    </msub>\n    <mo>=</mo>\n    <mfrac>\n      <mrow>\n        <mrow>\n          <msub>\n            <mo stretchy=\"false\">&#x2211;</mo>\n            <mrow>\n              <mi>i</mi>\n            </mrow>\n          </msub>\n          <mrow>\n            <msub>\n              <mrow>\n                <mi>C</mi>\n              </mrow>\n              <mrow>\n                <mi>n</mi>\n                <mi>a</mi>\n                <mi>t</mi>\n                <mo>,</mo>\n                <mi>i</mi>\n              </mrow>\n            </msub>\n            <mo>&#x2219;</mo>\n            <msub>\n              <mrow>\n                <mi>P</mi>\n              </mrow>\n              <mrow>\n                <mi>n</mi>\n                <mi>a</mi>\n                <mi>t</mi>\n                <mo>,</mo>\n                <mi>&amp;nbsp;</mi>\n                <mi>&amp;nbsp;</mi>\n                <mi>i</mi>\n              </mrow>\n            </msub>\n          </mrow>\n        </mrow>\n      </mrow>\n      <mrow>\n        <mrow>\n          <munder>\n            <mo stretchy=\"false\">&#x2211;</mo>\n            <mrow>\n              <mi>i</mi>\n            </mrow>\n          </munder>\n          <mrow>\n            <msub>\n              <mrow>\n                <mi>P</mi>\n              </mrow>\n              <mrow>\n                <mi>n</mi>\n                <mi>a</mi>\n                <mi>t</mi>\n                <mo>,</mo>\n                <mi>&amp;nbsp;</mi>\n                <mi>&amp;nbsp;</mi>\n                <mi>i</mi>\n              </mrow>\n            </msub>\n          </mrow>\n        </mrow>\n      </mrow>\n    </mfrac>\n  </math></p>\n<p>Where:</p>\n<ul>\n  <li>C<sub>agg</sub> is the regional/global estimate,</li>\n  <li>C<sub>nat</sub> is the national estimate,</li>\n  <li>P<sub>nat</sub> is the country population.</li>\n  <li>The sum is done over the countries <em>i</em> in the region (regional aggregate) or all countries (global aggregate).</li>\n</ul>",
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            "timestamp": "2023-08-19T16:58:23.321123+02:00",
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            "id": 63776541,
            "action_name": "String updated in the repository",
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            "user": null,
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            "timestamp": "2023-08-19T16:58:23.321067+02:00",
            "action": 59,
            "target": "<h2> Процесс консультаций / валидации со странами для корректировок и оценок:</h2>\n<p> Исходные данные, методы и окончательные оценки передаются странам до публикации через официальные каналы связи ВОЗ с государствами-членами организации.</p>",
            "id": 63776540,
            "action_name": "String updated in the repository",
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            "user": null,
            "author": null,
            "timestamp": "2023-08-19T16:58:23.321022+02:00",
            "action": 59,
            "target": "<h1> Методология </h1>\n<h2> Метод расчета: </h2>\n<p> Среднегодовая концентрация PM2,5 в городах оценивается с помощью улучшенного моделирования с использованием интеграции данных спутникового дистанционного зондирования, оценок численности населения, топографии и измерений на поверхности земли (ВОЗ, 2016a; Shaddick et al, 2016) </p>",
            "id": 63776539,
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            "user": null,
            "author": null,
            "timestamp": "2023-08-19T16:58:23.320970+02:00",
            "action": 30,
            "target": "<p>The annual urban mean concentration of PM<sub>2.5</sub> is estimated with improved modelling using data integration from satellite remote sensing, population estimates, topography and ground measurements (WHO, 2016; Shaddick et al, 2016).</p>",
            "id": 63776538,
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            "timestamp": "2023-08-19T16:58:23.320895+02:00",
            "action": 59,
            "target": "<h2> Комментарии и ограничения: </h2>\n<p> Данные по городским / сельским районам: хотя качество данных, доступных по городскому / сельскому населению, в целом хорошее для стран с высоким уровнем доходов, но оно может быть относительно низким для некоторых территорий с низким и средним уровнем доходов. Кроме того, определение городских / сельских районов может сильно различаться в различных странах. </p>",
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            "user": null,
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            "timestamp": "2023-08-19T16:58:23.320857+02:00",
            "action": 30,
            "target": "<p><strong>Urban/rural data:</strong> while the data quality available for urban/rural population is generally good for high-income countries, it can be relatively poor for some low- and middle income areas. Furthermore, the definition of urban/rural may greatly vary by country.</p>",
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            "timestamp": "2023-08-19T16:58:23.320823+02:00",
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