https://doi.org/10.4081/monaldi.2023.2537

Association of air pollution and COVID-19 in India

Vol. 94 No. 2 (2024)
Submitted: January 29, 2023
Accepted: June 6, 2023
Published: June 15, 2023
COVID-19, SARS CoV-2, air pollution, PM2.5, PM10
Abstract Views: 609
PDF: 255
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Authors

Rahul Tyagi
https://orcid.org/0000-0002-8994-8978
Department of Pulmonary, Critical Care, and Sleep Medicine, All India Institute of Medical Sciences, New Delhi; Department of Pulmonary Medicine, Army Institute of Cardiothoracic Sciences, Pune, India.
Saurabh Mittal
saurabh_kgmu@yahoo.co.in
https://orcid.org/0000-0002-7979-6405
Department of Pulmonary, Critical Care, and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, India.
Karan Madan
https://orcid.org/0000-0002-5330-6391
Department of Pulmonary, Critical Care, and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, India.
Ravindra Mohan Pandey
Department of Biostatistics, All India Institute of Medical Sciences, New Delhi, India.
Anjali Pandey
https://orcid.org/0000-0001-8735-9785
Department of Biostatistics, All India Institute of Medical Sciences, New Delhi, India.
Anant Mohan
Department of Pulmonary, Critical Care, and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, India.
Vijay Hadda
https://orcid.org/0000-0001-5820-3685
Department of Pulmonary, Critical Care, and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, India.
Pawan Tiwari
Department of Pulmonary, Critical Care, and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, India.
Randeep Guleria
Department of Pulmonary, Critical Care, and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, India.

The COVID-19 pandemic has affected the world, leading to significant morbidity and mortality. Various meteorological parameters are considered essential for the viability and transmission of the virus. Multiple reports from various parts of the world suggest a correlation between the disease spread and air pollution severity. This study was carried out to identify the relationship between meteorological parameters, air pollution, and COVID-19 in New Delhi, one of the worst-affected states in India. We studied air pollution and meteorological parameters in New Delhi, India. We obtained data about COVID-19 occurrence, meteorological parameters, and air pollution indicators from various sources from April 1, 2020, until November 12, 2020. We performed correlational analysis and employed autoregressive distributed lag models to identify the relationship between COVID-19 cases, air pollution and meteorological parameters. We found a significant impact of particulate matter (PM) 2.5, PM10, and meteorological parameters on COVID-19. There was a significant positive correlation between daily COVID-19 cases and COVID-19-related deaths with PM2.5 and PM10 levels. Increasing temperature and wind speed were associated with a reduction in the number of cases, while increasing humidity was associated with increased cases. This study demonstrated a significant association between PM2.5 and PM10 and daily COVID-19 cases and COVID-19-related mortality. This knowledge will likely help us prepare well for the future and implement air pollution control measures for other airborne disease epidemics.

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Citations

Crossref
Scopus
Google Scholar
Europe PMC
Marimuthu Y, Nagappa B, Sharma N, et al. COVID-19 and tuberculosis: a mathematical model based forecasting in Delhi, India. Indian J Tuberc 2020;67:177-81.
Tyagi R, Mittal S, Madan K, et al. Assessment of the impact and reorganization of interventional pulmonology services at a tertiary care centre during nationwide lockdown for COVID-19 pandemic. Monaldi Arch Chest Dis 2021;91:1615.
Aggarwal N, Boppana TK, Mittal S. COVID-19 pandemic: the testing times for healthcare workers. Monaldi Arch Chest Dis 2021;91:1515.
Ministry of Health and Family Welfare, Government of India. Home page. Available from: https://www.mohfw.gov.in/. Accessed on: 19/02/2021.
Madan M, Pahuja S, Mohan A, et al. TB infection and BCG vaccination: are we protected from COVID-19?. Public Health 2020;185:91-2.
Pahuja S, Madan M, Mittal S, et al. Weather parameters and COVID-19: a correlational analysis. J Occup Environ Med 2021;63:69-73.
Şahin M. Impact of weather on COVID-19 pandemic in Turkey. Sci Total Environ 2020;728:138810.
Zoran MA, Savastru RS, Savastru DM, Tautan MN. Assessing the relationship between ground levels of ozone (O(3)) and nitrogen dioxide (NO(2)) with coronavirus (COVID-19) in Milan, Italy. Sci Total Environ 2020;740:140005.
Huang G, Brown PE. Population-weighted exposure to air pollution and COVID-19 incidence in Germany. Spat Stat 2021;41:100480.
Lee D, Ferguson C, Mitchell R. Air pollution and health in Scotland: a multicity study. Biostatistics 2009;10:409-23.
Setti L, Passarini F, De Gennaro G, et al. Potential role of particulate matter in the spreading of COVID-19 in Northern Italy: first observational study based on initial epidemic diffusion. BMJ Open 2020;10:e039338.
Sharma AK, Balyan P. Air pollution and COVID-19: Is the connect worth its weight?. Indian J Public Health 2020;64:S132-4.
Travaglio M, Yu Y, Popovic R, et al. Links between air pollution and COVID-19 in England. Environ Pollut 2021;268:115859.
Hindustan Times. Migration added more to Delhi’s population than births: Economic Survey. Available from: https://www.hindustantimes.com/cities/delhi-news/migration-added-more-to-delhi-s-population-than-births-economic-survey-101679338506633.html. Accessed on: 28/05/2023.
Covid19india.org. Coronavirus in India: latest map and case count, 2020. Available from: https://www.covid19india.org/. Accessed on: 27/06/2020.
Timeanddate. Home page. Available from: https://www.timeanddate.com/. Accessed on: 21/02/2019.
aqicn.org. Pusa, Delhi, Delhi air pollution: real-time air quality index. Available from: https://aqicn.org/city/delhi/pusa/. Accessed on: 21/02/2019.
Bello GA, Arora M, Austin C, et al. Extending the distributed lag model framework to handle chemical mixtures. Environ Res 2017;156:253-64.
Venter ZS, Aunan K, Chowdhury S, Lelieveld J. Air pollution declines during COVID-19 lockdowns mitigate the global health burden. Environ Res 2021;192:110403.
Setti L, Passarini F, De Gennaro G, et al. SARS-Cov-2RNA found on particulate matter of Bergamo in Northern Italy: first evidence. Environ Res 2020;188:109754.
Wu X, Nethery RC, Sabath MB, et al. Air pollution and COVID-19 mortality in the United States: Strengths and limitations of an ecological regression analysis. Sci Adv 2020;6:eabd4049.
Comunian S, Dongo D, Milani C, Palestini P. Air pollution and Covid-19: the role of particulate matter in the spread and increase of Covid-19’s morbidity and mortality. Int J Environ Res Public Health 2020;17:4487.

How to Cite

Tyagi, Rahul, Saurabh Mittal, Karan Madan, Ravindra Mohan Pandey, Anjali Pandey, Anant Mohan, Vijay Hadda, Pawan Tiwari, and Randeep Guleria. 2023. “Association of Air Pollution and COVID-19 in India”. Monaldi Archives for Chest Disease 94 (2). https://doi.org/10.4081/monaldi.2023.2537.
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