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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="review-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">Ekologiya cheloveka (Human Ecology)</journal-id><journal-title-group><journal-title xml:lang="en">Ekologiya cheloveka (Human Ecology)</journal-title><trans-title-group xml:lang="ru"><trans-title>Экология человека</trans-title></trans-title-group></journal-title-group><issn publication-format="print">1728-0869</issn><issn publication-format="electronic">2949-1444</issn><publisher><publisher-name xml:lang="en">Eco-Vector</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">635356</article-id><article-id pub-id-type="doi">10.17816/humeco635356</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>REVIEWS</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>ОБЗОРЫ</subject></subj-group><subj-group subj-group-type="article-type"><subject>Review Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">Quantitative microbial risk assessment for drinking water-associated population</article-title><trans-title-group xml:lang="ru"><trans-title>Метод количественной оценки микробиологического риска для населения, ассоциированного с питьевой водой</trans-title></trans-title-group><trans-title-group xml:lang="zh"><trans-title>基于饮用水的居民微生物风险定量评估方法</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-1570-6589</contrib-id><contrib-id contrib-id-type="spin">3398-3669</contrib-id><name-alternatives><name xml:lang="en"><surname>Baydakova</surname><given-names>Elena V.</given-names></name><name xml:lang="ru"><surname>Байдакова</surname><given-names>Елена Валерьевна</given-names></name><name xml:lang="zh"><surname>Baydakova</surname><given-names>Elena V.</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><email>elenabaydakova@yandex.ru</email><xref ref-type="aff" rid="aff1"/><xref ref-type="aff" rid="aff2"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-8936-7324</contrib-id><contrib-id contrib-id-type="spin">7358-1674</contrib-id><name-alternatives><name xml:lang="en"><surname>Unguryanu</surname><given-names>Tatiana N.</given-names></name><name xml:lang="ru"><surname>Унгуряну</surname><given-names>Татьяна Николаевна</given-names></name><name xml:lang="zh"><surname>Unguryanu</surname><given-names>Tatiana N.</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>MD, Dr. Sci. (Medicine), Professor</p></bio><bio xml:lang="ru"><p>д-р мед. наук, профессор</p></bio><bio xml:lang="zh"><p>MD, Dr. Sci. (Medicine), Professor</p></bio><email>unguryanu_tn@mail.ru</email><xref ref-type="aff" rid="aff2"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Federal Agency of Consumer Protection</institution></aff><aff><institution xml:lang="ru">Управление Роспотребнадзора по Архангельской области</institution></aff><aff><institution xml:lang="zh">Federal Agency of Consumer Protection</institution></aff></aff-alternatives><aff-alternatives id="aff2"><aff><institution xml:lang="en">Northern State Medical University</institution></aff><aff><institution xml:lang="ru">Северный государственный медицинский университет</institution></aff><aff><institution xml:lang="zh">Northern State Medical University</institution></aff></aff-alternatives><pub-date date-type="preprint" iso-8601-date="2024-12-04" publication-format="electronic"><day>04</day><month>12</month><year>2024</year></pub-date><pub-date date-type="pub" iso-8601-date="2024-12-20" publication-format="electronic"><day>20</day><month>12</month><year>2024</year></pub-date><volume>31</volume><issue>5</issue><issue-title xml:lang="en"/><issue-title xml:lang="ru"/><issue-title xml:lang="zh"/><fpage>352</fpage><lpage>365</lpage><history><date date-type="received" iso-8601-date="2024-08-23"><day>23</day><month>08</month><year>2024</year></date><date date-type="accepted" iso-8601-date="2024-11-14"><day>14</day><month>11</month><year>2024</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2025, Eco-Vector</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2025, Эко-Вектор</copyright-statement><copyright-statement xml:lang="zh">Copyright ©; 2025,</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="en">Eco-Vector</copyright-holder><copyright-holder xml:lang="ru">Эко-Вектор</copyright-holder><ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://creativecommons.org/licenses/by-nc-nd/4.0</ali:license_ref></license></permissions><self-uri xlink:href="https://hum-ecol.ru/1728-0869/article/view/635356">https://hum-ecol.ru/1728-0869/article/view/635356</self-uri><abstract xml:lang="en"><p>The risk assessment method is used to study the probability of adverse public health outcomes when using contaminated drinking water, with acute intestinal infections representing a predominant concern. A quantitative microbial risk assessment is a mathematical system designed to calculate the probability of the development of the infectious diseases caused by the pathogenic microorganisms present in drinking water. The microbial risk assessment method integrates epidemiological and sanitary-hygienic monitoring data to calculate the risk of water-associated diseases. This method aims to identify and mitigate the risk of the waterborne outbreaks of infectious diseases and reducing the prevalence sporadic (background) infections caused by water-transmitted pathogens. As a result of the aforementioned method and the availability of online calculators, researchers now can utilize a tool for calculating the probability and risk of occurrence of infectious diseases when using low microbial quality drinking water. This review presents the stages of the microbial risk quantitative assessment with a description of the calculation methods, describes the sources of the data necessary to assess the risk, presents the formulas for calculating the probability depending on the type of infectious pathogen, and provides the links to online calculators allowing for quick calculations.</p></abstract><trans-abstract xml:lang="ru"><p>Метод оценки риска применяется с целью изучения вероятности возникновения негативных для здоровья населения последствий при использовании загрязнённой питьевой воды, в числе которых самыми распространёнными являются острые кишечные инфекции. Количественная оценка микробиологического риска представляет собой математическую систему расчёта вероятности развития инфекционных заболеваний, вызываемых патогенными микроорганизмами, присутствующими в питьевой воде. Метод оценки микробиологического риска объединяет данные эпидемиологического и социально-гигиенического мониторинга для вычисления риска возникновения водно-ассоциированных болезней. Этот метод направлен на выявление и снижение риска возникновения водных вспышек инфекционных заболеваний и снижение уровня спорадической (фоновой) заболеваемости инфекциями, возбудители которых передаются через воду. Благодаря описываемому методу и имеющимся онлайн-калькуляторам расчёт вероятности и риска возникновения инфекционных заболеваний при использовании питьевой воды низкого качества становится доступным инструментом для исследователей в данной области. В настоящем обзоре представлены этапы количественной оценки микробиологического риска с описанием методов расчёта, описаны источники данных, необходимые для оценки риска, представлены формулы для расчёта вероятности в зависимости от типа возбудителя инфекционных болезней и даны ссылки на онлайн-калькулятор, позволяющий быстро производить вычисления.</p></trans-abstract><trans-abstract xml:lang="zh"><p>风险评估方法用于研究使用受污染饮用水对居民健康产生不良后果的可能性，其中最常见的是急性肠道感染。微生物风险定量评估是一种通过数学模型计算饮用水中存在的致病微生物引发传染病概率的系统方法。结合流行病学和社会卫生监测数据，微生物风险定量评估用于识别和降低因水传播引发传染病爆发的风险，并减少零星（背景）水传播感染性疾病的发病率。本文详细介绍了微生物风险定量评估的步骤，包括计算方法、风险评估所需数据来源的描述以及基于病原体类型计算概率的公式。同时提供了在线计算器的链接，以便快速完成评估和计算。通过该方法和现有的在线计算工具，研究者可以方便地计算使用低质量饮用水引发传染病的概率和风险。</p></trans-abstract><kwd-group xml:lang="en"><kwd>quantitative assessment of microbiological risk</kwd><kwd>drinking water</kwd><kwd>acute intestinal infections</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>количественная оценка микробиологического риска</kwd><kwd>питьевая вода</kwd><kwd>острые кишечные инфекции</kwd></kwd-group><kwd-group xml:lang="zh"><kwd>微生物风险定量评估</kwd><kwd>饮用水</kwd><kwd>急性肠道感染</kwd></kwd-group><funding-group/></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><citation-alternatives><mixed-citation xml:lang="en">Soloviev MYu, Konchenko AV, Kurashvili OM, Mikheeva IV. 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