Ambient air pollution and COVID-19 in National Capital Territory of Delhi, India: a time-series evidence

Abstract

Objectives: This study aimed to explore the short-term health effects of ambient air pollutants PM2.5, PM10, SO2, NO2, O3 and, CO on COVID-19 daily new cases and COVID-19 daily new deaths. Study design: A time-series design used in this study. Data were obtained from 1 April 2020 to 31 December 2020 in the National Capital Territory (NCT) of Delhi, India. Methods: The generalized additive models (GAMs) were applied to explore the associations of six air pollutants with COVID-19 daily new cases and COVID-19 daily new deaths. We also conducted sensitivity analysis using the population mobility variable in terms of lockdowns. Results: The GAMs revealed statistically significant associations of ambient air pollutants with COVID-19 daily new cases and COVID-19 daily new deaths. Besides, in sensitivity analysis after controlling for the population mobility, these associations became more prominent. Conclusions: These findings suggest that governments need to give greater considerations to regions with higher concentrations of PM2.5, PM10, SO2, NO2, O3 and, CO, since these areas may experience a more serious COVID-19 pandemic or, in general, any respiratory disease.

Publication
medRxiv
Abhishek Singh

My research interests include time series models, statistical computing and parametric inference.

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