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Indirect Response of the Temperature, Humidity, and Rainfall on the Spread of COVID-19 over the Indian Monsoon Region.
Mehta, Sanjay Kumar; Ananthavel, Aravindhavel; Reddy, T V Ramesh; Ali, Saleem; Mehta, Shyam Bihari; Kakkanattu, Sachin Philip; Purushotham, Pooja; Betsy, K B.
  • Mehta SK; Atmospheric Observations and Modelling Laboratory (AOML), Department of Physics, SRM Institute of Science and Technology, Kattankulathur, 603203 Tamil Nadu India.
  • Ananthavel A; Atmospheric Observations and Modelling Laboratory (AOML), Department of Physics, SRM Institute of Science and Technology, Kattankulathur, 603203 Tamil Nadu India.
  • Reddy TVR; Indian Institute of Tropical Meteorology, Pune, India.
  • Ali S; Atmospheric Observations and Modelling Laboratory (AOML), Department of Physics, SRM Institute of Science and Technology, Kattankulathur, 603203 Tamil Nadu India.
  • Mehta SB; Department of Civil Engineering, Indian Institute of Technology Kanpur, Kanpur, India.
  • Kakkanattu SP; Atmospheric Observations and Modelling Laboratory (AOML), Department of Physics, SRM Institute of Science and Technology, Kattankulathur, 603203 Tamil Nadu India.
  • Purushotham P; Department of Civil Engineering, Indian Institute of Technology, Madras, Chennai, India.
  • Betsy KB; Centre for Astroparticle Physics and Space Science, Bose Institute, Kolkata, 700091 India.
Pure Appl Geophys ; 180(1): 383-404, 2023.
Article in English | MEDLINE | ID: covidwho-2173974
ABSTRACT
This article examines the role of the meteorological variable in the spread of the ongoing pandemic coronavirus disease 2019 (COVID-19) across India. COVID-19 has created an unprecedented situation for public health and brought the world to a standstill. COVID-19 had caused more than 1,523,242 deaths out of 66,183,029 confirmed cases worldwide till the first week of December 2020. We have examined the surface temperature, relative humidity, and rainfall over five cities Delhi, Mumbai, Kolkata, Bengaluru, and Chennai, which were severely affected by COVID-19. It is found that the prevailing southwest (SW) monsoon during the pandemic has acted as a natural sanitizer in limiting the spread of the virus. The mean rainfall is ~ 20-40 mm over the selected cities, resulting in an average decrease in COVID cases by ~ 18-26% for the next 3 days after the rainfall. The day-to-day variations of the meteorological parameters and COVID-19 cases clearly demonstrate that both surface temperature and relative humidity play a vital role in the indirect transport of the virus. Our analysis reveals that most COVID-19 cases fall within the surface temperature range from 24 to 30 °C and relative humidity range from 50% to 80%. At a given temperature, COVID-19 cases show a large dependency on the relative humidity; therefore, the coastal environments were more prone to infections. Wavelet transforms coherence analysis of the daily COVID-19 cases with temperature and relative humidity reveals a significant coherence within 8 days.
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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Pure Appl Geophys Year: 2023 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Pure Appl Geophys Year: 2023 Document Type: Article