Relationship between Weather Variables and New Daily COVID-19 Cases in Dhaka, Bangladesh

M. Mofijur, I.M. Rizwanul Fattah, A.B.M. Saiful Islam, M.N. Uddin, S.M. Ashrafur Rahman, M.A. Chowdhury, Md Asraful Alam and Md. Alhaz Uddin
Additional contact information
M. Mofijur: Faculty of Engineering and Information Technology, University of Technology Sydney NSW 2007, Australia
I.M. Rizwanul Fattah: Faculty of Engineering and Information Technology, University of Technology Sydney NSW 2007, Australia
A.B.M. Saiful Islam: Department of Civil and Construction Engineering, College of Engineering, Imam Abdulrahman Bin Faisal University, Dammam 31451, Saudi Arabia
M.N. Uddin: Department of Electrical and Electronic Engineering, Northern University Bangladesh, Dhaka 1213, Bangladesh
S.M. Ashrafur Rahman: Biofuel Engine Research Facility, Queensland University of Technology (QUT), Brisbane, QLD 4000, Australia
M.A. Chowdhury: Department of Mechanical Engineering, Dhaka University of Engineering and Technology (DUET), Gazipur 1707, Bangladesh
Md Asraful Alam: School of Chemical Engineering, Zhengzhou University, Zhengzhou 450001, China
Md. Alhaz Uddin: Department of Civil Engineering, College of Engineering, Jouf University, Sakaka 42421, Saudi Arabia

Sustainability, 2020, vol. 12, issue 20, 1-10

Abstract: The present study investigated the relationship between the transmission of COVID-19 infections and climate indicators in Dhaka, Bangladesh, using coronavirus infections data available from the Institute of Epidemiology, Disease Control and Research (IEDCR), Bangladesh. The Spearman rank correlation test was carried out to study the association of seven climate indicators, including humidity, air quality, minimum temperature, precipitation, maximum temperature, mean temperature, and wind speed with the COVID-19 outbreak in Dhaka, Bangladesh. The study found that, among the seven indicators, only two indicators (minimum temperature and average temperature) had a significant relationship with new COVID-19 cases. The study also found that air quality index (AQI) had a strong negative correlation with cumulative cases of COVID-19 in Dhaka city. The results of this paper will give health regulators and policymakers valuable information to lessen the COVID-19 spread in Dhaka and other countries around the world.

Keywords: COVID-19; climate indicators; air quality; environment; pandemic; coronavirus (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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