Model-based estimation of transmissibility and reinfection of SARS-CoV-2 P.1 variant

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作者
Renato Mendes Coutinho
Flavia Maria Darcie Marquitti
Leonardo Souto Ferreira
Marcelo Eduardo Borges
Rafael Lopes Paixão da Silva
Otavio Canton
Tatiana P. Portella
Silas Poloni
Caroline Franco
Mateusz M. Plucinski
Fernanda C. Lessa
Antônio Augusto Moura da Silva
Roberto Andre Kraenkel
Maria Amélia de Sousa Mascena Veras
Paulo Inácio Prado
机构
[1] Universidade Federal do ABC,
[2] Observatório COVID-19 BR,undefined
[3] Universidade Estadual de Campinas,undefined
[4] Universidade Estadual Paulista,undefined
[5] Vigilância Epidemiológica,undefined
[6] Secretaria de Saúde de Florianópolis,undefined
[7] Universidade de São Paulo,undefined
[8] Centers for Disease Control and Prevention,undefined
[9] Universidade Federal do Maranhão,undefined
[10] Faculdade de Ciências Médicas da Santa Casa de São Paulo,undefined
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摘要
SARS-CoV-2, the virus that causes COVID-19, can mutate into variants which might have different characteristics such as increased ability to spread. The P.1 variant, also known as Gamma, was first identified in Manaus, Brazil. Here, we use mathematical and statistical methods to model the spread of P.1 in Manaus and to determine the potential for people getting re-infected with P.1, comparing it to previous circulating variants in the region. We estimate that P.1 spreads 2.6 times more easily than these other variants and that nearly a third of cases over the period studied were reinfections with P.1. These findings help us to understand whether P.1 is likely to be more difficult to control than other variants and what sort of measures might be needed.
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