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Quantitative Estimation of Disruption in Social Contact Structure and its Effect in COVID-19 Spread in India
Jay Naresh Dhanwant; Venkatnarayan Ramanathan.
Afiliação
  • Jay Naresh Dhanwant; IIT(BHU)
  • Venkatnarayan Ramanathan; IIT(BHU) Varanasi
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20081620
ABSTRACT
In this paper we use the well-known SIR (Susceptible-Infected-recovered) epidemiology model for quantitatively estimating the impact of this disruption in the social contact structure of India and retrospectively estimate the number of COVID-19 cases in India by neglecting the single source event. Model predicts that around 32% of COVID-19 cases (as on April 14, 2020) are contributed by the single source event. Given this disruption of the social contact structure, the model shows that the country wide lockdown has been effective in bringing down the number of cases in India.
Licença
cc_by_nc_nd
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies / Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies / Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
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