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Global convergence of COVID-19 basic reproduction number and estimation from early-time SIR dynamics.
Katul, Gabriel G; Mrad, Assaad; Bonetti, Sara; Manoli, Gabriele; Parolari, Anthony J.
Afiliação
  • Katul GG; Nicholas School of the Environment, Duke University, Durham, NC, United States of America.
  • Mrad A; Department of Civil and Environmental Engineering, Duke University, Durham, NC, United States of America.
  • Bonetti S; Nicholas School of the Environment, Duke University, Durham, NC, United States of America.
  • Manoli G; Department of Environmental Systems Science, ETH Zürich, Zürich, Switzerland.
  • Parolari AJ; Bartlett School of Environment, Energy and Resources, University College London, London, United Kingdom.
PLoS One ; 15(9): e0239800, 2020.
Article em En | MEDLINE | ID: mdl-32970786
ABSTRACT
The SIR ('susceptible-infectious-recovered') formulation is used to uncover the generic spread mechanisms observed by COVID-19 dynamics globally, especially in the early phases of infectious spread. During this early period, potential controls were not effectively put in place or enforced in many countries. Hence, the early phases of COVID-19 spread in countries where controls were weak offer a unique perspective on the ensemble-behavior of COVID-19 basic reproduction number Ro inferred from SIR formulation. The work here shows that there is global convergence (i.e., across many nations) to an uncontrolled Ro = 4.5 that describes the early time spread of COVID-19. This value is in agreement with independent estimates from other sources reviewed here and adds to the growing consensus that the early estimate of Ro = 2.2 adopted by the World Health Organization is low. A reconciliation between power-law and exponential growth predictions is also featured within the confines of the SIR formulation. The effects of testing ramp-up and the role of 'super-spreaders' on the inference of Ro are analyzed using idealized scenarios. Implications for evaluating potential control strategies from this uncontrolled Ro are briefly discussed in the context of the maximum possible infected fraction of the population (needed to assess health care capacity) and mortality (especially in the USA given diverging projections). Model results indicate that if intervention measures still result in Ro > 2.7 within 44 days after first infection, intervention is unlikely to be effective in general for COVID-19.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pneumonia Viral / Infecções por Coronavirus / Número Básico de Reprodução Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pneumonia Viral / Infecções por Coronavirus / Número Básico de Reprodução Idioma: En Ano de publicação: 2020 Tipo de documento: Article