Risk factors for Covid-19 in India

Area of Science:

• Public Health
• Epidemiology
• Socioeconomics

Background:

• India faced significant challenges during the COVID-19 pandemic.
• The pandemic's impact varied considerably across different Indian states.
• Understanding these variations is crucial for effective public health strategies.

Purpose of the Study:

• To identify key factors contributing to the differential burden of COVID-19 cases across Indian states.
• To analyze the correlation between demographic factors, co-morbidities, and COVID-19 case distribution.

Main Methods:

• Utilized publicly available data from 30 Indian states up to May 9, 2021.
• Employed descriptive statistics for state comparisons.
• Applied correlation analysis to assess associations between variables and COVID-19 burden.

Main Results:

• State literacy status and economic condition showed strong correlations with COVID-19 burden (r=0.574 and r=0.730).
• Self-reported hypertension and diabetes prevalence were significantly linked to COVID-19 burden (r=0.539 and r=0.721).
• Overweight and obesity also demonstrated associations with higher COVID-19 case burdens (r=0.614 and r=0.561).

Conclusions:

• States with lower literacy and poorer health conditions, particularly those with high rates of co-morbidities, experienced the most severe COVID-19 impact.
• Targeted interventions are necessary to support vulnerable populations and improve outcomes in resource-limited areas.