Impact of environmental factors on COVID-19 cases and mortalities in major cities of Pakistan

Basray, Rabia; Malik, Amber; Waqar, Wajiha; Chaudhry, Ambreen; Malik, Muhammad Wasif; Khan, Mumtaz Ali; Ansari, Jamil; Ikram, Aamer

doi:10.1016/j.jobb.2021.02.001

Cited by 21 publications

(16 citation statements)

References 25 publications

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“…It is also to be noted that Humidity in 7-and 14-days' lag have a strong positive association with death cases. Basray et al [25] reported (Table 5) similar significant positive association (r = 0.59) in Karachi, Pakistan . Moreover, Lim et al [28] also reported a positive association, although the correlation is very poor (r = 0.006).…”

Section: Correlation In-between Climatic Parameters With Covid-19 Death Casesmentioning

confidence: 63%

Association between Meteorological Parameters and SARS-CoV-2 Outbreak Trends in Major Divisions of Bangladesh

Masum

Pal

2021

J. Sci. Res.

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Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) has caused the current pandemic situation worldwide. Studies based on different factors affecting the pandemic are useful in order to find effective measures against COVID-19. Therefore, this study aims to explore the association between meteorological parameters and COVID-19 positive cases, along with a number of fatalities. In this study, the number of identified COVID-19 cases along with death figures, daily records of rainfall, temperature, relative humidity, and wind speed were collected from April and May 2020 for eight major divisions in Bangladesh. Significant positive association (r = 0.24 to 0.58) between relative humidity and COVID-19 cases across the cities was found in this study, while for temperature both positive and negative associations (r = -0.23 to 0.72) were observed. Similarly, a positive association is found between humidity ((r = -0.012 to 0.384)) and numbers of COVID-19 death cases. Rainfall and wind speed exhibit positive correlations with COVID-19 positive cases and numbers of death cases. The findings of the study surely help the policymaker for further decision making, conducting new study and initiate the mitigation measures against COVID-19.

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Section: Correlation In-between Climatic Parameters With Covid-19 Death Casesmentioning

confidence: 63%

Association between Meteorological Parameters and SARS-CoV-2 Outbreak Trends in Major Divisions of Bangladesh

Masum

Pal

2021

J. Sci. Res.

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“…On the same line, Prata et al ( Prata, Rodrigues, & Bermejo, 2020 ) demonstrated that there is more than 4.8% reduction in the cumulative incidence of newly diagnosed cases with each rise in temperature by 1 °C. Similarly, ( Basray et al, 2021 ) showed that for every unit increase in humidity, there was a 3.345 reduction in the daily reported cases of COVID-19 cases, while for every unit increase in humidity, there was a noticed increase in the number of daily reported cases by 10 times. Interestingly, Anis ( Anis, 2020 ) demonstrated that the optimal temperature for virus transmission was between 13-24 ° C based on analysis of data from March to November 2020.…”

Section: Discussionmentioning

confidence: 94%

“…Furthermore, they found that COVID-19 deaths were positively associated with temperature and were negatively associated only with humidity. ( Basray et al, 2021 ) Hence, this ecological study aimed at addressing the effect of different sociodemographic attributes, and environmental factors on the transmissibility and mortality related to COVID-19 across different countries and identifying the mathematical model of COVID-19 transmission and mortality.…”

Section: Introductionmentioning

confidence: 99%

Pattern and determinants of COVID-19 infection and mortality across countries: An ecological study

Asem

Ramadan

Hassany

et al. 2021

Heliyon

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Background This work aimed to identify the mathematical model and ecological pattern of COVID-19 infection and mortality across different countries during the first six months of the pandemic. Methodology In this pilot study, authors used the online available data sources of randomly selected 18 countries to collect ecological predictors of COVID-19 transmissibility and mortality. The studied determinants were environmental factors (daily average temperature, daily humidity) and socioeconomic attributes (population age structure, count and density, human development index, per capita income (PCI), gross domestic product, internet coverage, mobility trends, chronic diseases). Researchers used the linear and exponential time series analysis, and further utilize multivariate techniques to explain the variance in the monthly exponential growth rates of new cases and deaths. Result In the first two months, the R 2 of linear models for the cases and deaths were higher than that of the corresponding R 2 of the exponential model. Later one, R 2 of the exponential model was occasionally relatively higher than that of the linear models. The exponential growth rate of new cases was significantly associated with mobility trends (β=0.00398, P =0.002), temperature (β=0.000679, P =0.011), humidity (β=0.000249, P =0.000), and the proportion of patients aged above 65 years (β=-0.000959, P =0.012). Similarly, the exponential growth rate of deaths was significantly associated with mobility trends (β=0.0027, P =0.049), temperature (β=0.0014, P<0.001), humidity (β=-0.0026, P=0.000), and PCI of countries. During this period, COVID-19 transmissibility was evident to be controlled as soon as social mobility is decreased by about 40% of the baseline over 3 months controlling for the other predictors. Conclusion Controlling of COVID-19 pandemic is based mainly on controlling social mobility. Role of environmental determinants like temperature and humidity was well noticed on disease fatality and transmissibility. COVID-19 contagiousness and fatality were additionally affected by human modifiable risk factors like income and non-modifiable risk factors (ageing) affected.

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“…McClymont and Hu ( 2021 ) presented a recent literature review of the effect of weather indicators on COVID-19 transmission. The meteorological factors, which were considered in recent studies to examine their correlation with the number of COVID-19 cases, include the following: Temperature (Abdelhafez et al 2021 ; Alkhowailed et al 2020 ; Auler et al 2020 ; Bashir et al 2020a ; Bilal et al 2021b ; Briz-Redón and Serrano-Aroca 2020 ; Dalal and Pandey 2021 ; Fernández-Ahúja and Martínez 2021 ; Fu et al 2021 ; Hariharan 2021 ; Iqbal et al 2020a ; Menebo 2020 ; Pani et al 2020 ; Şahin 2020 ; Shahzad et al 2020 ; Shi et al 2020a ; Sobral et al 2020 , p. 2; To et al 2021 ; Tosepu et al 2020 ; Yuan et al 2021 ) Humidity (Abdelhafez et al 2021 ; Alkhowailed et al 2020 ; Auler et al 2020 ; Bashir et al 2020a ; Basray et al 2021 , 2021; Dalal and Pandey 2021 ; Fu et al 2021 ; Hariharan 2021 ; Pani et al 2020 ; Şahin 2020 ; Shi et al 2020a ; Tosepu et al 2020 ; Yuan et al 2021 ) Rainfall (Auler et al 2020 ; Bashir et al 2020a ; Basray et al 2021 ; Fernández-Ahúja and Martínez 2021 ; Menebo 2020 ; Sobral et al 2020 , p. 2; Tosepu et al 2020 ), Wind speed (Abdelhafez et al 2021 ; Alkhowailed et al 2020 ; Bashir et al 2020a ; Coccia 2021 ; Dalal and Pandey 2021 ; Hariharan 2021 ; Menebo 2020 ; Pani et al …”

Section: Introductionmentioning

confidence: 99%

Impact of climate indicators on the COVID-19 pandemic in Saudi Arabia

Abdel-Aal

Eltoukhy

Nabhan

et al. 2021

Environ Sci Pollut Res

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Impact of environmental factors on COVID-19 cases and mortalities in major cities of Pakistan

Cited by 21 publications

References 25 publications

Association between Meteorological Parameters and SARS-CoV-2 Outbreak Trends in Major Divisions of Bangladesh

Association between Meteorological Parameters and SARS-CoV-2 Outbreak Trends in Major Divisions of Bangladesh

Pattern and determinants of COVID-19 infection and mortality across countries: An ecological study

Impact of climate indicators on the COVID-19 pandemic in Saudi Arabia

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