Your browser doesn't support javascript.
loading
Public health impact of the U.S. Scenario Modeling Hub.
Borchering, Rebecca K; Healy, Jessica M; Cadwell, Betsy L; Johansson, Michael A; Slayton, Rachel B; Wallace, Megan; Biggerstaff, Matthew.
Afiliação
  • Borchering RK; CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA, USA. Electronic address: xhq2@cdc.gov.
  • Healy JM; CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA, USA.
  • Cadwell BL; CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA, USA.
  • Johansson MA; CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA, USA.
  • Slayton RB; CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA, USA.
  • Wallace M; CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA, USA.
  • Biggerstaff M; CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Epidemics ; 44: 100705, 2023 09.
Article em En | MEDLINE | ID: mdl-37579585
ABSTRACT
Beginning in December 2020, the COVID-19 Scenario Modeling Hub has provided quantitative scenario-based projections for cases, hospitalizations, and deaths, aggregated across up to nine modeling groups. Projections spanned multiple months into the future and provided timely information on potential impacts of epidemiological uncertainties and interventions. Projections results were shared with the public, public health partners, and the Centers for Disease Control COVID-19 Response Team. The projections provided insights on situational awareness and informed decision-making to mitigate COVID-19 disease burden (e.g., vaccination strategies). By aggregating projections from multiple modeling teams, the Scenario Modeling Hub provided rapidly synthesized information in times of great uncertainty and conveyed possible trajectories in the presence of emerging variants. Here we detail several use cases of these projections in public health practice and communication, including assessments of whether modeling results directly or indirectly informed public health communication or guidance. These include multiple examples where comparisons of projected COVID-19 disease outcomes under different vaccination scenarios were used to inform Advisory Committee for Immunization Practices recommendations. We also describe challenges and lessons learned during this highly beneficial collaboration.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Saúde Pública / COVID-19 Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Revista: Epidemics Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Saúde Pública / COVID-19 Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Revista: Epidemics Ano de publicação: 2023 Tipo de documento: Article