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Effective containment explains subexponential growth in recent confirmed COVID-19 cases in China

Identifieur interne : 000821 ( Pmc/Curation ); précédent : 000820; suivant : 000822

Effective containment explains subexponential growth in recent confirmed COVID-19 cases in China

Auteurs : Benjamin F. Maier [Allemagne] ; Dirk Brockmann [Allemagne]

Source :

RBID : PMC:7164388

Abstract

The recent outbreak of COVID-19 in Mainland China was characterized by a distinctive subexponential increase of confirmed cases during the early phase of the epidemic, contrasting an initial exponential growth expected for an unconstrained outbreak. We show that this effect can be explained as a direct consequence of containment policies that effectively deplete the susceptible population. To this end, we introduce a parsimonious model that captures both, quarantine of symptomatic infected individuals as well as population-wide isolation practices in response to containment policies or behavioral changes and show that the model captures the observed growth behavior accurately. The insights provided here may aid the careful implementation of containment strategies for ongoing secondary outbreaks of COVID-19 or similar future outbreaks of other emergent infectious diseases.


Url:
DOI: 10.1126/science.abb4557
PubMed: 32269067
PubMed Central: 7164388

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PMC:7164388

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Robert Koch Institute, Nordufer 20, D-13353 Berlin, Germany.</aff>
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<p>The recent outbreak of COVID-19 in Mainland China was characterized by a distinctive subexponential increase of confirmed cases during the early phase of the epidemic, contrasting an initial exponential growth expected for an unconstrained outbreak. We show that this effect can be explained as a direct consequence of containment policies that effectively deplete the susceptible population. To this end, we introduce a parsimonious model that captures both, quarantine of symptomatic infected individuals as well as population-wide isolation practices in response to containment policies or behavioral changes and show that the model captures the observed growth behavior accurately. The insights provided here may aid the careful implementation of containment strategies for ongoing secondary outbreaks of COVID-19 or similar future outbreaks of other emergent infectious diseases.</p>
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