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Correlation between climate indicators and COVID-19 pandemic in New York, USA.
Bashir, Muhammad Farhan; Ma, Benjiang; Komal, Bushra; Bashir, Muhammad Adnan; Tan, Duojiao; Bashir, Madiha.
  • Bashir MF; School of Business, Central South University, Changsha, 410083, Hunan, PR China. Electronic address: farhan.paks@csu.edu.cn.
  • Ma B; School of Business, Central South University, Changsha, 410083, Hunan, PR China.
  • Bilal; Accounting School, Hubei University of Economics, Wuhan, PR China. Electronic address: bilal@hbue.edu.cn.
  • Komal B; Business School, University of International Business and Economics, Beijing, PR China.
  • Bashir MA; School of Economics, Nankai University, Tianjin, PR China.
  • Tan D; Accounting School, Hubei University of Economics, Wuhan, PR China. Electronic address: tanduojiao@hbue.edu.cn.
  • Bashir M; Education Department, Government of The Punjab, Pakistan.
Sci Total Environ ; 728: 138835, 2020 Aug 01.
Article in English | MEDLINE | ID: covidwho-88671
ABSTRACT
This study analyzed the association between COVID-19 and climate indicators in New York City, USA. We used secondary published data from New York city health services and National weather service, USA. The climate indicators included in the study are average temperature, minimum temperature, maximum temperature, rainfall, average humidity, wind speed, and air quality. Kendall and Spearman rank correlation tests were chosen for data analysis. We find that average temperature, minimum temperature, and air quality were significantly associated with the COVID-19 pandemic. The findings of this study will help World Health Organization and health regulators such as Center for Disease Control (CDC) to combat COVID-19 in New York and the rest of the world.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Climate / Coronavirus Infections Type of study: Observational study Limits: Humans Country/Region as subject: North America Language: English Journal: Sci Total Environ Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Climate / Coronavirus Infections Type of study: Observational study Limits: Humans Country/Region as subject: North America Language: English Journal: Sci Total Environ Year: 2020 Document Type: Article