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1º PARECER TÉCNICO SOBRE A PANDEMIA DA COVID-19 NA REGIÃO TRANSAMAZÔNICA E XINGU

Authors: Medeiros, Hermes Fonseca De; Vasconcelos, Dinar Duarte; Oliveira, Assis Da Costa; Ferreira, Denis Vieira Gomes; Quaresma, Juarez Antônio Simões;

1º PARECER TÉCNICO SOBRE A PANDEMIA DA COVID-19 NA REGIÃO TRANSAMAZÔNICA E XINGU

Abstract

Este parecer tem como objetivo reunir informações obtidas pela equipe do Grupo de Trabalho do Componente Saúde do Projeto CEFORM XINGU que realiza pesquisas sobre a saúde nos municípios impactados pela hidrelétrica de Belo Monte. São apresentadas proposições quanto às ações que poderiam contribuir para mitigação de impactos da epidemia de Covid-19 nos municípios que compreendem a 10ª Regional de Saúde do Estado do Pará, assim como informações e análises de dados que dão suporte a estas recomendações. Este documento está composto de duas partes e anexos. A primeira parte apresenta as recomendações formuladas, com base na experiência da equipe no tratamento de questões de saúde da região Transamazônica e Xingu, assim como em análises interdisciplinares destas questões. A segunda parte, denominada “argumentação” reúne dados e análises que dão suporte às recomendações. Os anexos apresentam elementos metodológicos necessários para a compreensão detalhada da modelagem dos padrões epidemiológicos.

Destaques do Parecer • Modelagem epidemiológica da evolução da Covid-19 em municípios da região Transamazônica e Xingu. • Tendências da pandemia da Covid-19. • Análise dos recursos orçamentários provenientes dos royalties de Belo Monte, com possível aproveitamento para custeio do enfrentamento da Covid-19. • Recomendações quanto a medidas que podem ser adotadas pelos municípios visando o enfrentamento da Covid-19 na região da Transamazônica e Xingu.

Keywords

Modelagem Epidemiológica, COVID-19, Região Transamazônica e Xingu, Modelagem epidemiológica. Covid-19. Região Xingu. Royalties Belo Monte

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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