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Article

Assessing the Impact of Meteorological Factors on COVID-19 Seasonality in Metropolitan Chennai, India

1
Department of Environmental Engineering, Changwon National University, Changwon 51140, Gyeongsangnam-do, Korea
2
School of Smart and Green Engineering, Changwon National University, Changwon 51140, Gyeongsangnam-do, Korea
3
Ecotoxicology Division, Centre for Ocean Research, Sathyabama Institute of Science and Technology, Chennai 600119, Tamil Nadu, India
4
College of Pharmaceutical Sciences, Southwest University, Chongqing 400716, China
5
Centre for Material Engineering and Regenerative Medicine, Bharath Institute of Higher Education and Research, Selaiyur, Chennai 600126, Tamil Nadu, India
*
Author to whom correspondence should be addressed.
Academic Editors: Yoon-Hyeong Choi and Min Jae Ju
Toxics 2022, 10(8), 440; https://doi.org/10.3390/toxics10080440
Received: 24 June 2022 / Revised: 27 July 2022 / Accepted: 29 July 2022 / Published: 1 August 2022
(This article belongs to the Special Issue Air Pollution and COVID-19)
Meteorological factors may influence coronavirus disease 2019 (COVID-19) transmission. Due to the small number of time series studies, the relative importance of seasonality and meteorological factors is still being debated. From March 2020 to April 2021, we evaluated the impact of meteorological factors on the transmission of COVID-19 in Chennai, India. Understanding how the COVID-19 pandemic spreads over the year is critical to developing public health strategies. Correlation models were used to examine the influence of meteorological factors on the transmission of COVID-19. The results revealed seasonal variations in the number of COVID-19-infected people. COVID-19 transmission was greatly aggravated by temperature, wind speed, nitric oxide (NO) and barometric pressure (BP) during summer seasons, whereas wind speed and BP aggravated COVID-19 transmission during rainy seasons. Furthermore, PM 2.5, NO and BP aggravated COVID-19 transmission during winter seasons. However, their relationships fluctuated seasonally. Our research shows that seasonal influences must be considered when developing effective interventions. View Full-Text
Keywords: COVID-19; linear regression model; seasonal; temperature; wind speed; barometric pressure; PM 2.5 COVID-19; linear regression model; seasonal; temperature; wind speed; barometric pressure; PM 2.5
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MDPI and ACS Style

Suman, T.Y.; Keerthiga, R.; Remya, R.R.; Jacintha, A.; Jeon, J. Assessing the Impact of Meteorological Factors on COVID-19 Seasonality in Metropolitan Chennai, India. Toxics 2022, 10, 440. https://doi.org/10.3390/toxics10080440

AMA Style

Suman TY, Keerthiga R, Remya RR, Jacintha A, Jeon J. Assessing the Impact of Meteorological Factors on COVID-19 Seasonality in Metropolitan Chennai, India. Toxics. 2022; 10(8):440. https://doi.org/10.3390/toxics10080440

Chicago/Turabian Style

Suman, Thodhal Yoganandham, Rajendiran Keerthiga, Rajan Renuka Remya, Amali Jacintha, and Junho Jeon. 2022. "Assessing the Impact of Meteorological Factors on COVID-19 Seasonality in Metropolitan Chennai, India" Toxics 10, no. 8: 440. https://doi.org/10.3390/toxics10080440

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