Factors affecting COVID-19 infected and death rates inform lockdown-related policymaking.

ABSTRACT:

Background

After claiming nearly five hundred thousand lives globally, the COVID-19 pandemic is showing no signs of slowing down. While the UK, USA, Brazil and parts of Asia are bracing themselves for the second wave-or the extension of the first wave-it is imperative to identify the primary social, economic, environmental, demographic, ethnic, cultural and health factors contributing towards COVID-19 infection and mortality numbers to facilitate mitigation and control measures.

Methods

We process several open-access datasets on US states to create an integrated dataset of potential factors leading to the pandemic spread. We then apply several supervised machine learning approaches to reach a consensus as well as rank the key factors. We carry out regression analysis to pinp

SUBMITTER: Roy S 

PROVIDER: S-EPMC7584177 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature