Predictive models of COVID-19 in India: A rapid review.

ABSTRACT:

Background

The mathematical modelling of coronavirus disease-19 (COVID-19) pandemic has been attempted by a wide range of researchers from the very beginning of cases in India. Initial analysis of available models revealed large variations in scope, assumptions, predictions, course, effect of interventions, effect on health-care services, and so on. Thus, a rapid review was conducted for narrative synthesis and to assess correlation between predicted and actual values of cases in India.

Methods

A comprehensive, two-step search strategy was adopted, wherein the databases such as Medline, google scholar, MedRxiv, and BioRxiv were searched. Later, hand searching for the articles and contacting known modelers for unpublished models was resorted. The data from the included studie

SUBMITTER: Kotwal A 

PROVIDER: S-EPMC7298493 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature