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Variations in Non-Pharmaceutical Interventions by State Correlate with COVID-19 Disease Outcomes
Annika J Avery; Jiayi Wang; Xinyu Ma; Qingkai Pan; Elizabeth E McGrady; Zongyuan Yuan; Yuqing Liang; Rebecca Nugent; Seema S Lakdawala.
Afiliación
  • Annika J Avery; Department of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine
  • Jiayi Wang; Statistics and Data Science Department, Carnegie Mellon University
  • Xinyu Ma; Statistics and Data Science Department, Carnegie Mellon University
  • Qingkai Pan; Statistics and Data Science Department, Carnegie Mellon University
  • Elizabeth E McGrady; Department of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine
  • Zongyuan Yuan; Statistics and Data Science Department, Carnegie Mellon University
  • Yuqing Liang; Department of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine
  • Rebecca Nugent; Statistics and Data Science Department, Carnegie Mellon University
  • Seema S Lakdawala; Department of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine
Preprint en En | PREPRINT-MEDRXIV | ID: ppmedrxiv-21261286
ABSTRACT
The COVID-19 pandemic highlighted the lack of understanding around effective public health interventions to curtail the spread of an emerging respiratory virus. Here, we examined the public health approaches implemented by each state to limit the spread and burden of COVID-19. Our analysis revealed that stronger statewide interventions positively correlated with fewer COVID-19 deaths, but some neighboring states with distinct intervention strategies had similar SARS-CoV-2 case trajectories. Additionally, more than two weeks is needed to observe an impact on SARS-CoV-2 cases after an intervention is implemented. These data provide a critical framework to inform future interventions during emerging pandemics.
Licencia
cc_by_nc_nd
Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Tipo de estudio: Experimental_studies Idioma: En Año: 2021 Tipo del documento: Preprint
Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Tipo de estudio: Experimental_studies Idioma: En Año: 2021 Tipo del documento: Preprint