Ontology highlight
ABSTRACT: Objectives
Existing socio-economic inequalities shape, in very particular and measurable ways, the differential impact that a disease has on different sections of the same society. This is particularly true of COVID-19, which has rapidly exhausted the public health system in India, and magnified the gradient of vulnerability in an underserved populace. Using publicly available data, we have aimed to deconstruct this gradient into individual variables of inequality and quantify their impact on the transmission and mortality outcomes of COVID-19 in India.Study design
Sociodemographic analysis.Methods
We quantify doubling times and case fatality ratios for all districts in India, then correlate them to 20 variables of socio-economic vulnerability and demographic struct
SUBMITTER: Dibyachintan S
PROVIDER: S-EPMC9666378 | biostudies-literature | 2023 Jan
REPOSITORIES: biostudies-literature