Stochastic Analysis of the Relationship Between Atmospheric Variables and Coronavirus Disease (COVID-19) in a Hot, Arid Climate

Overview

Journal Integr Environ Assess Manag

Publisher Oxford University Press

Date 2021 Jun 22

PMID 34156152

Authors

Mohamed F Yassin

Hassan A Aldashti

Affiliations

Soon will be listed here.

Abstract

The rapid outbreak of the coronavirus disease (COVID-19) has affected millions of people all over the world and killed hundreds of thousands. Atmospheric conditions can play a fundamental role in the transmission of a virus. The relationship between several atmospheric variables and the transmission of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are therefore investigated in this study, in which the State of Kuwait, which has a hot, arid climate, is considered during free movement (without restriction), partial lockdown (partial restrictions), and full lockdown (full restriction). The relationship between the infection rate, growth rate, and doubling time for SARS-CoV-2 and atmospheric variables are also investigated in this study. Daily data describing the number of COVID-19 cases and atmospheric variables, such as temperature, relative humidity, wind speed, visibility, and solar radiation, were collected for the period February 24 to May 30, 2020. Stochastic models were employed to analyze how atmospheric variables can affect the transmission of SARS-CoV-2. The normal and lognormal probability and cumulative density functions (PDF and CDF) were applied to analyze the relationship between atmospheric variables and COVID-19 cases. The Spearman's rank correlation test and multiple regression model were used to investigate the correlation of the studied variables with the transmission of SARS-CoV-2 and to confirm the findings obtained from the stochastic models. The results indicate that relative humidity had a significant negative correlation with the number of COVID-19 cases, whereas positive correlations were observed for cases of infection and temperature, wind speed, and visibility. The infection rate for SARS-CoV-2 is directly proportional to the air temperature, wind speed, and visibility, whereas inversely related to the humidity. The lowest growth rate and longest doubling time of the COVID-19 infection occurred during the full lockdown period. The results in this study may help the World Health Organization (WHO) make specific recommendations about the outbreak of COVID-19 for decision-makers around the world. Integr Environ Assess Manag 2022;18:500-516. © 2021 SETAC.

References

Menebo M . Temperature and precipitation associate with Covid-19 new daily cases: A correlation study between weather and Covid-19 pandemic in Oslo, Norway. Sci Total Environ. 2020; 737:139659. PMC: 7258804. DOI: 10.1016/j.scitotenv.2020.139659. View

Rouen A, Adda J, Roy O, Rogers E, Levy P . COVID-19: relationship between atmospheric temperature and daily new cases growth rate. Epidemiol Infect. 2020; 148:e184. PMC: 7463156. DOI: 10.1017/S0950268820001831. View

Yuan S, Jiang S, Li Z . Do Humidity and Temperature Impact the Spread of the Novel Coronavirus?. Front Public Health. 2020; 8:240. PMC: 7266870. DOI: 10.3389/fpubh.2020.00240. View

Goswami K, Bharali S, Hazarika J . Projections for COVID-19 pandemic in India and effect of temperature and humidity. Diabetes Metab Syndr. 2020; 14(5):801-805. PMC: 7273152. DOI: 10.1016/j.dsx.2020.05.045. View

Sundell N, Andersson L, Brittain-Long R, Lindh M, Westin J . A four year seasonal survey of the relationship between outdoor climate and epidemiology of viral respiratory tract infections in a temperate climate. J Clin Virol. 2016; 84:59-63. PMC: 7106483. DOI: 10.1016/j.jcv.2016.10.005. View

Liu J, Zhou J, Yao J, Zhang X, Li L, Xu X . Impact of meteorological factors on the COVID-19 transmission: A multi-city study in China. Sci Total Environ. 2020; 726:138513. PMC: 7194892. DOI: 10.1016/j.scitotenv.2020.138513. View

Yassin M, Elmi A . Stochastic analysis of concentration field in a wake region. Environ Sci Pollut Res Int. 2010; 18(2):270-81. DOI: 10.1007/s11356-010-0372-5. View

Xie J, Zhu Y . Association between ambient temperature and COVID-19 infection in 122 cities from China. Sci Total Environ. 2020; 724:138201. PMC: 7142675. DOI: 10.1016/j.scitotenv.2020.138201. View

Meo S, Abukhalaf A, Alomar A, Alsalame N, Al-Khlaiwi T, Usmani A . Effect of temperature and humidity on the dynamics of daily new cases and deaths due to COVID-19 outbreak in Gulf countries in Middle East Region. Eur Rev Med Pharmacol Sci. 2020; 24(13):7524-7533. DOI: 10.26355/eurrev_202007_21927. View

10.

Haque S, Rahman M . Association between temperature, humidity, and COVID-19 outbreaks in Bangladesh. Environ Sci Policy. 2020; 114:253-255. PMC: 7447231. DOI: 10.1016/j.envsci.2020.08.012. View

11.

Eslami H, Jalili M . The role of environmental factors to transmission of SARS-CoV-2 (COVID-19). AMB Express. 2020; 10(1):92. PMC: 7226715. DOI: 10.1186/s13568-020-01028-0. View

12.

Zhu L, Liu X, Huang H, Avellan-Llaguno R, Lazo M, Gaggero A . Meteorological impact on the COVID-19 pandemic: A study across eight severely affected regions in South America. Sci Total Environ. 2020; 744:140881. PMC: 7352107. DOI: 10.1016/j.scitotenv.2020.140881. View

13.

Al-Dabbous A, Kumar P . Number and size distribution of airborne nanoparticles during summertime in Kuwait: first observations from the Middle East. Environ Sci Technol. 2014; 48(23):13634-43. DOI: 10.1021/es505175u. View

14.

Soebiyanto R, Gross D, Jorgensen P, Buda S, Bromberg M, Kaufman Z . Associations between Meteorological Parameters and Influenza Activity in Berlin (Germany), Ljubljana (Slovenia), Castile and León (Spain) and Israeli Districts. PLoS One. 2015; 10(8):e0134701. PMC: 4550247. DOI: 10.1371/journal.pone.0134701. View

15.

Sobral M, Duarte G, da Penha Sobral A, Monteiro Marinho M, de Souza Melo A . Association between climate variables and global transmission oF SARS-CoV-2. Sci Total Environ. 2020; 729:138997. PMC: 7195330. DOI: 10.1016/j.scitotenv.2020.138997. View

16.

Yassin M, Al-Shatti L, Al Rashidi M . Assessment of the atmospheric mixing layer height and its effects on pollutant dispersion. Environ Monit Assess. 2018; 190(7):372. DOI: 10.1007/s10661-018-6737-9. View

17.

Bashir M, Ma B, Bilal , Komal B, Bashir M, Tan D . Correlation between climate indicators and COVID-19 pandemic in New York, USA. Sci Total Environ. 2020; 728:138835. PMC: 7195034. DOI: 10.1016/j.scitotenv.2020.138835. View

18.

Paraskevis D, Kostaki E, Alygizakis N, Thomaidis N, Cartalis C, Tsiodras S . A review of the impact of weather and climate variables to COVID-19: In the absence of public health measures high temperatures cannot probably mitigate outbreaks. Sci Total Environ. 2021; 768:144578. PMC: 7765762. DOI: 10.1016/j.scitotenv.2020.144578. View

19.

Kumar G, Kumar R . A correlation study between meteorological parameters and COVID-19 pandemic in Mumbai, India. Diabetes Metab Syndr. 2020; 14(6):1735-1742. PMC: 7467899. DOI: 10.1016/j.dsx.2020.09.002. View

20.

Lowen A, Steel J . Roles of humidity and temperature in shaping influenza seasonality. J Virol. 2014; 88(14):7692-5. PMC: 4097773. DOI: 10.1128/JVI.03544-13. View