Ontology highlight
ABSTRACT: Objective
To model how known COVID-19 comorbidities affect mortality rates and the age distribution of mortality in a large lower-middle-income country (India), and to identify which health conditions drive differences with high-income countries.Design
Modelling study.Setting
England and India.Participants
Individual data were obtained from the fourth round of the District Level Household Survey and Annual Health Survey in India, and aggregate data were obtained from the Health Survey for England and the Global Burden of Disease, Risk Factors and Injuries Studies.Main outcome measures
The primary outcome was the modelled age-specific mortality in each country due to each COVID-19 mortality risk factor (diabetes, hypertension, obesity and respiratory
SUBMITTER: Novosad P
PROVIDER: S-EPMC7745455 | biostudies-literature | 2020 Dec
REPOSITORIES: biostudies-literature