Introdução: A vigilância em saúde planeja e executa ações que visam a eliminação, controle e prevenção dos riscos à saúde dos cidadãos. Neste contexto, a epidemiologia baseada em águas residuais promete revolucionar as técnicas de monitoramento de doenças através da detecção de biomarcadores em amostras de esgotos, o que norteará decisões e intervenções imediatas de prevenção, controle e tratamento a serem implementadas pelos órgãos de saúde. Objetivo: Identificar e discutir as vantagens, desafios e contribuições da epidemiologia baseada em águas residuais no monitoramento de doenças e orientação das ações de vigilância em saúde pública. Métodos: Através da análise pormenorizada de artigos científicos, com informações relevantes sobre entrelaces da epidemiologia baseada em águas residuais e a vigilância em saúde, obtivemos uma ideia precisa sobre o estado atual dos conhecimentos, lacunas e contribuições para o desenvolvimento científico dessa abordagem epidemiológica. Resultados: A análise de biomarcadores presentes na excreção humana tem proporcionado a obtenção de informações sobre estimativas populacionais, alertas precoces de surtos de doenças infecciosas como a covid-19, consumo de medicamentos e drogas, adesão às terapias farmacológicas prescritas, resistência antimicrobiana, exposição a substâncias tóxicas e poluentes, segurança alimentar e rastreamento de câncer na população. Conclusão: Apesar dessa abordagem avaliar as condições de vida e saúde da população de forma rápida, econômica, padronizada e eficiente, a sua expansão e inserção aos programas de vigilância, principalmente em países em desenvolvimento, depende de investimentos que garantam a universalização do saneamento básico, desenvolvimento e aplicação de novos biomarcadores no monitoramento de águas residuais e profissionais capacitados.
Marques, P. R. C., Dolabella, S. S. ., Jain, S., & Barbosa, A. A. T. . (2022). CONTRIBUIÇÕES DA EPIDEMIOLOGIA BASEADA EM ÁGUAS RESIDUAIS PARA VIGILÂNCIA EM SAÚDE PÚBLICA. Revista Multidisciplinar Em Saúde, 1–13. https://doi.org/10.51161/rems/3487
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RecommendBySimilarityPlugin.callbackTemplateArticlePageFooter(Templates::Article::Footer::PageFooter, Array[3]) % line 107, file: HookRegistry.inc.php
HookRegistry.call(Templates::Article::Footer::PageFooter, Array[3]) % line 1267, file: PKPTemplateManager.inc.php
PKPTemplateManager.smartyCallHook(Array[1], Object:Smarty_Internal_Template) % line 43, file: 42362804174f266c598cdb32c3208fc745b92101^1c372c95cd85572e0fbc9a53d0323a0b229cfc78_0.app.frontendpagesarticle.tpl.php
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Smarty_Internal_TemplateBase.display(frontend/pages/article.tpl, null, 42362804174f266c598cdb32c3208fc745b92101, null) % line 924, file: PKPTemplateManager.inc.php
PKPTemplateManager.display(frontend/pages/article.tpl) % line 292, file: ArticleHandler.inc.php
ArticleHandler.view(Array[1], Object:Request) % line 391, file: PKPRouter.inc.php
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PKPPageRouter.route(Object:Request) % line 143, file: Dispatcher.inc.php
Dispatcher.dispatch(Object:Request) % line 281, file: PKPApplication.inc.php
PKPApplication.execute() % line 68, file: index.php
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SubmissionSearch._getMergedKeywordResults(Object:Journal, Array[4], , null, null, 500, 1) % line 194, file: SubmissionSearch.inc.php
SubmissionSearch._getMergedPhraseResults(Object:Journal, Array[4], null, null, null, 500, 1) % line 146, file: SubmissionSearch.inc.php
SubmissionSearch._getMergedKeywordResults(Object:Journal, Array[3], null, null, null, 500, 1) % line 132, file: SubmissionSearch.inc.php
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Dispatcher.dispatch(Object:Request) % line 281, file: PKPApplication.inc.php
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