The impact of temperature, population size and median age on COVID-19 (SARS-CoV-2) outbreak

Objectives: This study aims to explore the association between the spread of COVID-19 and external parameters. In this regard, temperature, population size, median age, and health care facilities of 58 different countries are considered as external factors. Methods: A negative binomial regression mo...

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Main Authors: Kushan Tharuka Lulbadda, Dhanushka Kobbekaduwa, Malika Lakmali Guruge
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Clinical Epidemiology and Global Health
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2213398420302128
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spelling doaj-62cc016671a74b7bbb4dc131c8832aae2021-06-05T06:08:52ZengElsevierClinical Epidemiology and Global Health2213-39842021-01-019231236The impact of temperature, population size and median age on COVID-19 (SARS-CoV-2) outbreakKushan Tharuka Lulbadda0Dhanushka Kobbekaduwa1Malika Lakmali Guruge2Department of Electrical Engineering, University of Moratuwa, Bandaranayake Mawatha, Moratuwa, Sri Lanka; Corresponding author.,Department of Civil Engineering, Xi'an Jiatong-Liverpool University, 111 Ren Ai Road, Dushu Lake Higher Education Town, Suzhou Industrial Park, Suzhou, Jiangsu, 215123, ChinaMathematics Unit, Sri Lanka Institute of Information Technology, New Kandy Road, Malabe, Sri LankaObjectives: This study aims to explore the association between the spread of COVID-19 and external parameters. In this regard, temperature, population size, median age, and health care facilities of 58 different countries are considered as external factors. Methods: A negative binomial regression model was fitted to identify the associations between the factors and cases of COVID-19 during the study periods. Results: The temperature, population size, and median age are positively associated with the spreading rate of COVID-19. There is no evidence supporting that case counts of COVID-19 could decline in countries with better health care facilities. Also, an empirical model was presented to estimate the number of cases within a country using the external parameters. Conclusions: It is impossible to express the change in the number of cases for a unit increase in each of the variables because a change in a single variable depends on different values of other variables. However, the findings of this study provide useful implications for the authorities and decision-makers to take specific precautionary measures.http://www.sciencedirect.com/science/article/pii/S2213398420302128CoronavirusCOVID-19 outbreakTemperaturePopulation sizeMedian age
collection DOAJ
language English
format Article
sources DOAJ
author Kushan Tharuka Lulbadda
Dhanushka Kobbekaduwa
Malika Lakmali Guruge
spellingShingle Kushan Tharuka Lulbadda
Dhanushka Kobbekaduwa
Malika Lakmali Guruge
The impact of temperature, population size and median age on COVID-19 (SARS-CoV-2) outbreak
Clinical Epidemiology and Global Health
Coronavirus
COVID-19 outbreak
Temperature
Population size
Median age
author_facet Kushan Tharuka Lulbadda
Dhanushka Kobbekaduwa
Malika Lakmali Guruge
author_sort Kushan Tharuka Lulbadda
title The impact of temperature, population size and median age on COVID-19 (SARS-CoV-2) outbreak
title_short The impact of temperature, population size and median age on COVID-19 (SARS-CoV-2) outbreak
title_full The impact of temperature, population size and median age on COVID-19 (SARS-CoV-2) outbreak
title_fullStr The impact of temperature, population size and median age on COVID-19 (SARS-CoV-2) outbreak
title_full_unstemmed The impact of temperature, population size and median age on COVID-19 (SARS-CoV-2) outbreak
title_sort impact of temperature, population size and median age on covid-19 (sars-cov-2) outbreak
publisher Elsevier
series Clinical Epidemiology and Global Health
issn 2213-3984
publishDate 2021-01-01
description Objectives: This study aims to explore the association between the spread of COVID-19 and external parameters. In this regard, temperature, population size, median age, and health care facilities of 58 different countries are considered as external factors. Methods: A negative binomial regression model was fitted to identify the associations between the factors and cases of COVID-19 during the study periods. Results: The temperature, population size, and median age are positively associated with the spreading rate of COVID-19. There is no evidence supporting that case counts of COVID-19 could decline in countries with better health care facilities. Also, an empirical model was presented to estimate the number of cases within a country using the external parameters. Conclusions: It is impossible to express the change in the number of cases for a unit increase in each of the variables because a change in a single variable depends on different values of other variables. However, the findings of this study provide useful implications for the authorities and decision-makers to take specific precautionary measures.
topic Coronavirus
COVID-19 outbreak
Temperature
Population size
Median age
url http://www.sciencedirect.com/science/article/pii/S2213398420302128
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