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Assessing the influence of climate on wintertime SARS-CoV-2 outbreaks.
Baker, Rachel E; Yang, Wenchang; Vecchi, Gabriel A; Metcalf, C Jessica E; Grenfell, Bryan T.
Afiliação
  • Baker RE; High Meadows Environmental Institute, Princeton University, Princeton, NJ, USA. racheleb@princeton.edu.
  • Yang W; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA. racheleb@princeton.edu.
  • Vecchi GA; Department of Geosciences, Princeton University, Princeton, NJ, USA.
  • Metcalf CJE; High Meadows Environmental Institute, Princeton University, Princeton, NJ, USA.
  • Grenfell BT; Department of Geosciences, Princeton University, Princeton, NJ, USA.
Nat Commun ; 12(1): 846, 2021 02 08.
Article em En | MEDLINE | ID: mdl-33558479
ABSTRACT
High susceptibility has limited the role of climate in the SARS-CoV-2 pandemic to date. However, understanding a possible future effect of climate, as susceptibility declines and the northern-hemisphere winter approaches, is an important open question. Here we use an epidemiological model, constrained by observations, to assess the sensitivity of future SARS-CoV-2 disease trajectories to local climate conditions. We find this sensitivity depends on both the susceptibility of the population and the efficacy of non-pharmaceutical interventions (NPIs) in reducing transmission. Assuming high susceptibility, more stringent NPIs may be required to minimize outbreak risk in the winter months. Our results suggest that the strength of NPIs remain the greatest determinant of future pre-vaccination outbreak size. While we find a small role for meteorological forecasts in projecting outbreak severity, reducing uncertainty in epidemiological parameters will likely have a more substantial impact on generating accurate predictions.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estações do Ano / Clima / SARS-CoV-2 / COVID-19 Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estações do Ano / Clima / SARS-CoV-2 / COVID-19 Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article