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Association of Environmental Parameters with COVID-19 in Delhi, India

The present study explores the association between weather and COVID-19 pandemic in Delhi, India. The study used the data from daily newspaper releases from the Ministry of Health and Family Welfare, Government of India. Linear regression was run to understand the effect of the number of tests, temp...

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Autores principales: Ladha, Nikhilesh, Bhardwaj, Pankaj, Charan, Jaykaran, Mitra, Prasenjit, Goyal, Jagdish Prasad, Sharma, Praveen, Singh, Kuldeep, Misra, Sanjeev
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer India 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7436072/
https://www.ncbi.nlm.nih.gov/pubmed/32837037
http://dx.doi.org/10.1007/s12291-020-00921-6
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author Ladha, Nikhilesh
Bhardwaj, Pankaj
Charan, Jaykaran
Mitra, Prasenjit
Goyal, Jagdish Prasad
Sharma, Praveen
Singh, Kuldeep
Misra, Sanjeev
author_facet Ladha, Nikhilesh
Bhardwaj, Pankaj
Charan, Jaykaran
Mitra, Prasenjit
Goyal, Jagdish Prasad
Sharma, Praveen
Singh, Kuldeep
Misra, Sanjeev
author_sort Ladha, Nikhilesh
collection PubMed
description The present study explores the association between weather and COVID-19 pandemic in Delhi, India. The study used the data from daily newspaper releases from the Ministry of Health and Family Welfare, Government of India. Linear regression was run to understand the effect of the number of tests, temperature, and relative humidity on the number of COVID-19 cases in Delhi. The model was significantly able to predict number of COVID-19 cases, F (4,56) = 1213.61, p < 0.05, accounting for 99.4% of the variation in COVID-19 cases with adjusted R(2) = 98.8%. Maximum Temperature, average temperature and average relative humidity did not show statistical significance. The only number of tests was significantly associated with COVID-19 cases.
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spelling pubmed-74360722020-08-19 Association of Environmental Parameters with COVID-19 in Delhi, India Ladha, Nikhilesh Bhardwaj, Pankaj Charan, Jaykaran Mitra, Prasenjit Goyal, Jagdish Prasad Sharma, Praveen Singh, Kuldeep Misra, Sanjeev Indian J Clin Biochem Short Communication The present study explores the association between weather and COVID-19 pandemic in Delhi, India. The study used the data from daily newspaper releases from the Ministry of Health and Family Welfare, Government of India. Linear regression was run to understand the effect of the number of tests, temperature, and relative humidity on the number of COVID-19 cases in Delhi. The model was significantly able to predict number of COVID-19 cases, F (4,56) = 1213.61, p < 0.05, accounting for 99.4% of the variation in COVID-19 cases with adjusted R(2) = 98.8%. Maximum Temperature, average temperature and average relative humidity did not show statistical significance. The only number of tests was significantly associated with COVID-19 cases. Springer India 2020-08-19 2020-10 /pmc/articles/PMC7436072/ /pubmed/32837037 http://dx.doi.org/10.1007/s12291-020-00921-6 Text en © Association of Clinical Biochemists of India 2020
spellingShingle Short Communication
Ladha, Nikhilesh
Bhardwaj, Pankaj
Charan, Jaykaran
Mitra, Prasenjit
Goyal, Jagdish Prasad
Sharma, Praveen
Singh, Kuldeep
Misra, Sanjeev
Association of Environmental Parameters with COVID-19 in Delhi, India
title Association of Environmental Parameters with COVID-19 in Delhi, India
title_full Association of Environmental Parameters with COVID-19 in Delhi, India
title_fullStr Association of Environmental Parameters with COVID-19 in Delhi, India
title_full_unstemmed Association of Environmental Parameters with COVID-19 in Delhi, India
title_short Association of Environmental Parameters with COVID-19 in Delhi, India
title_sort association of environmental parameters with covid-19 in delhi, india
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7436072/
https://www.ncbi.nlm.nih.gov/pubmed/32837037
http://dx.doi.org/10.1007/s12291-020-00921-6
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