Contact tracing of COVID-19 in Karnataka, India: Superspreading and determinants of infectiousness and symptomatic infection.

ABSTRACT:

Background

India has experienced the second largest outbreak of COVID-19 globally, yet there is a paucity of studies analysing contact tracing data in the region which can optimise public health interventions (PHI's).

Methods

We analysed contact tracing data from Karnataka, India between 9 March and 21 July 2020. We estimated metrics of transmission including the reproduction number (R), overdispersion (k), secondary attack rate (SAR), and serial interval. R and k were jointly estimated using a Bayesian Markov Chain Monte Carlo approach. We studied determinants of risk of further transmission and risk of being symptomatic using Poisson regression models.

Findings

Up to 21 July 2020, we found 111 index cases that crossed the super-spreading threshold of ≥8 secondary ca

SUBMITTER: Gupta M 

PROVIDER: S-EPMC9273085 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature