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Impact of COVID-19 epidemic curtailment strategies in selected Indian states: an analysis by reproduction number and doubling time with incidence modelling
Arun Mitra; Abhijit P Pakhare; Adrija Roy; Ankur Joshi.
Afiliação
  • Arun Mitra; All India Institute Medical Sciences, Bhopal
  • Abhijit P Pakhare; All India Institute of Medical Sciences, Bhopal
  • Adrija Roy; All India Institute Medical Sciences, Bhubaneshwar, India
  • Ankur Joshi; All India Institute of Medical Sciences, Bhopal, India
Preprint em En | PREPRINT-MEDRXIV | ID: ppmedrxiv-20094946
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ABSTRACT
The Government of India in network with the State Governments has implemented the epidemic curtailment strategies inclusive of case-isolation, quarantine and lockdown in response to ongoing novel coronavirus (COVID-19) outbreak. In this manuscript we attempt to estimate the effect of these steps across ten Indian states using crowd-sourced data. The chosen transmission parameters are -reproduction number (R0), doubling time and growth rate during the early epidemic phase (15 days into lockdown) and 30 days into lockdown (23rd April 2020) through maximum likelihood approach. The overall analysis shows the decreasing trends in reproductive numbers and growth rate (with few exceptions) and incremental doubling time. The curtailment strategies employed by the Indian government seems to be effective in reducing the transmission parameters of the COVID-19 epidemic. The effective reproductive numbers are still higher above the threshold of 1, the resultant absolute numbers tend to augment as a function of time. The curtailment strategy thus may take into account these findings while formulating further course of actions.
Licença
cc_by_nc
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Tipo de estudo: Experimental_studies / Observational_studies / Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Tipo de estudo: Experimental_studies / Observational_studies / Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Preprint