Epidemic Landscape and Forecasting of SARS-CoV-2 in India.

ABSTRACT:

Background

India was one of the countries to institute strict measures for Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) control in the early phase. Since, then, the epidemic growth trajectory was slow before registering an explosion of cases due to local cluster transmissions.

Methods

We estimated the growth rate and doubling time of SARS-CoV-2 for India and high burden states using crowdsourced time series data. Further, we also estimated the Basic Reproductive Number (R0) and Time-dependent Reproductive number (Rt) using serial intervals from the data. We compared the R0 estimated from five different methods and R0 from SB was further used in the analysis. We modified standard Susceptible-Infectious-Recovered (SIR) models to SIR/Death (SIRD) model to accomm

SUBMITTER: Rajendrakumar AL 

PROVIDER: S-EPMC7958270 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature