0418/2023 - Modelagem da Covid-19 no Brasil e a interação entre academia e gestores durante a pandemia Modeling of Covid-19 in Brazil and the interplay between Academia and health managers during the Pandemic
• Gabriel Berg de Almeida - de Almeida, G. B. - <gabrielberg91@gmail.com> ORCID: 0000-0002-1712-0899
• Lorena Mendes Simon - Simon, L. M. - <loressimon@gmail.com> ORCID: 0000-0002-3109-5896
• Suzi Alves Camey - Camey, S. A. - <scamey@hcpa.edu.br> ORCID: 0000-0002-5564-081X
• Cristiana Maria Toscano - Toscano, C. M. - <ctoscano@terra.com.br> ORCID: 0000-0002-9453-2643
Resumo:
A modelagem desempenhou papel significativo no apoio a políticas públicas durante a pandemia da Covid-19, e a tomada de decisão enfrentou um contexto de evidências limitadas. Este estudo caracterizou os grupos que realizaram modelagem e apoiaram a tomada de decisões de saúde no Brasil durante a pandemia. É um estudo transversal que incluiu instituições e grupos de pesquisadores que trabalharam com modelagem de Covid-19 e apoiaram a tomada de decisão. Utilizamos 2 estratégias para identificação: 1) Revisão de escopo e 2) amostragem de grupos através de referência em cadeia. Foram identificados um total de 100 estudos e 30 instituições. Dos 40 pesquisadores que relataram interação com gestores de saúde, 20 foram entrevistados, sendo programadores, matemáticos, médicos, epidemiologistas, estatísticos e físicos. Em relação às parcerias institucionais, 14 pesquisadores relataram ter colaborado em parcerias nacionais e/ou internacionais. Apenas alguns (5) relataram algum tipo de formalização de colaboração entre o grupo e a gestão. Observamos uma lacuna na demanda de modelagem e na comunicação para apoiar a gestão durante a pandemia de Covid-19. Repensar o processo de formulação e implementação de políticas públicas em emergências de saúde pode promover sistemas de saúde sólidos e melhores respostas a pandemias.
Palavras-chave:
Covid-19; Gestão em saúde; Modelos Teóricos
Abstract:
Modeling played a significant role in supporting public policy during the Covid-19 pandemic, and decision-making faced a context of limited evidence. This study aimed to characterize groups that performed modeling to support public health decision-making in Brazil during the pandemic. It is a cross-sectional study that included institutions and groups of researchers who worked with Covid-19 modeling and supported decision-making. The groups were identified based on two strategies: 1) a scoping review and 2) the identification of research groups through snowball sampling. A total of 100 studies and 30 institutions were identified. Of the 40 researchers who reported interaction with health managers, 20 were interviewed, including programmers, mathematicians, physicians, epidemiologists, statisticians and physicists. Regarding institutional partnerships, 14 researchers reported having collaborated in national and/or international partnerships. Only a few (5/20) reported some kind of official collaboration between the group and the health management. We observed a gap in modeling demand and communication to support health management during the Covid-19. Reshaping the process of formulating and implementing public policy during health emergencies can promote strong health systems and better responses to pandemics.
Modeling of Covid-19 in Brazil and the interplay between Academia and health managers during the Pandemic
Resumo (abstract):
Modeling played a significant role in supporting public policy during the Covid-19 pandemic, and decision-making faced a context of limited evidence. This study aimed to characterize groups that performed modeling to support public health decision-making in Brazil during the pandemic. It is a cross-sectional study that included institutions and groups of researchers who worked with Covid-19 modeling and supported decision-making. The groups were identified based on two strategies: 1) a scoping review and 2) the identification of research groups through snowball sampling. A total of 100 studies and 30 institutions were identified. Of the 40 researchers who reported interaction with health managers, 20 were interviewed, including programmers, mathematicians, physicians, epidemiologists, statisticians and physicists. Regarding institutional partnerships, 14 researchers reported having collaborated in national and/or international partnerships. Only a few (5/20) reported some kind of official collaboration between the group and the health management. We observed a gap in modeling demand and communication to support health management during the Covid-19. Reshaping the process of formulating and implementing public policy during health emergencies can promote strong health systems and better responses to pandemics.
da Rosa, M. Q. M., Bagattini, A. M., Rosa, I. I. R., de Almeida, G. B., Simon, L. M., Camey, S. A., Toscano, C. M.. Modelagem da Covid-19 no Brasil e a interação entre academia e gestores durante a pandemia. Cien Saude Colet [periódico na internet] (2023/dez). [Citado em 04/04/2025].
Está disponível em: http://cienciaesaudecoletiva.com.br/artigos/modelagem-da-covid19-no-brasil-e-a-interacao-entre-academia-e-gestores-durante-a-pandemia/19044?id=19044
