Environmental quality, climate indicators, and COVID-19 pandemic: insights from top 10 most affected states of the USA

Bilal, B; Bashir, Muhammad Farhan; Shahzad, Khurram; Komal, Bushra; Bashir, Muhammad Adnan; Bashir, Madiha; Tan, Debao; Fatima, Tehreem; Numan, Umar

doi:10.1007/s11356-021-12646-x

Cited by 42 publications

(34 citation statements)

References 47 publications

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“…The wave of COVID-9 pandemic is also shaped by metrological parameters namely, temperature, relative humidity, UV index, rain fall, snow fall, atmospheric pressure and wind speed (21)(22)(23)(24)(25)(26)(27)(28)(36)(37)(38)(39). Besides, direct man to man transmission is the major mode of spread of COVID-19.…”

Section: Discussionmentioning

confidence: 99%

“…The spread of COIVD-19 is significantly affected by weather (21). Metrological parameters including relative humidity, UV intensity, wind velocity, ambient temperature, rain fall and snowfall have contributed significantly to shape the wave of COVID-19 pandemic (22)(23)(24)28). Weather parameters regulated the viability, and transmission of COVID-19 (21)(22)(23)(24).…”

Section: Introductionmentioning

confidence: 99%

“…Metrological parameters including relative humidity, UV intensity, wind velocity, ambient temperature, rain fall and snowfall have contributed significantly to shape the wave of COVID-19 pandemic (22)(23)(24)28). Weather parameters regulated the viability, and transmission of COVID-19 (21)(22)(23)(24). Further, total population, density of population, duration of lockdown, tendency of common people to maintain social distance and COVID-19 related health practices, movement frequency, transportation of infected persons across borders, gatherings during sports, social and religious events etc.…”

Section: Introductionmentioning

confidence: 99%

“…Further, total population, density of population, duration of lockdown, tendency of common people to maintain social distance and COVID-19 related health practices, movement frequency, transportation of infected persons across borders, gatherings during sports, social and religious events etc. have contributed significantly to spread COVID-19 (22)(23)(24)(25)(26)(27)(28).…”

Section: Introductionmentioning

confidence: 99%

“…Inside host body, the immune system, presence of coinfection and antiviral drug pressure are shaping mutations in coronavirus genome. Besides, parameters of weather specifically ultraviolet radiation, high ambient temperature, relative humidity and snowfall have regulatory roles in evolving mutant viruses (22)(23)(24)28).…”

Section: Introductionmentioning

confidence: 99%

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Impact of meteorological parameters and population density on variants of SARS-CoV-2 and outcome of COVID-19 pandemic in Japan

et al. 2021

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Although vaccines have become available, emergence and rapid transmission of new variants have added new paradigm in the coronavirus disease-2019 (COVID-19) pandemic. Weather, population and host immunity have been detected as the regulatory elements of COVID-19. This study aims to investigate the effects of weather, population and host factors on the outcome of COVID-19 and mutation frequency in Japan. Data were collected during January 2020 to February 2021. About 92% isolates were form GR clades. Variants 501Y.V1 (53%) and 452R.V1 (24%) were most prevalent in Japan. The strongest correlation was detected between fatalities and population density (rs = 0.81) followed by total population (rs = 0.72). Relative humidity had the highest correlation (rs = −0.71) with the case fatality rate. Cluster mutations namely N501Y (45%), E484K (30%), N439K (16%), K417N (6%) and T478I (3%) at spike protein have increased during January to February 2021. Above 90% fatality was detected in patients aged >60 years. The ratio of male to female patients of COVID-19 was 1.35:1. This study will help to understand the seasonality of COVID-19 and impact of weather on the outcome which will add knowledge to reduce the health burden of COVID-19 by the international organisations and policy makers.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Impact of meteorological parameters and population density on variants of SARS-CoV-2 and outcome of COVID-19 pandemic in Japan

et al. 2021

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A review of the impact of environmental factors and pollutants on covid-19 transmission

et al. 2022

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The coronavirus disease (COVID-19) caused an unprecedented loss of life with colossal social and economic fallout over 237 countries and territories worldwide. Environmental conditions played a significant role in spreading the virus. Despite the availability of literature, the consecutive waves of COVID-19 in all geographical conditions create the necessity of reviewing the impact of environmental factors on it. This study synthesized and reviewed the findings of 110 previously published articles on meteorological factors and COVID-19 transmission. This study aimed to identify the diversified impacts of meteorological factors on the spread of infection and suggests future research. Temperature, rainfall, air quality, sunshine, wind speed, air pollution, and humidity were found as investigated frequently. Correlation and regression analysis have been widely used in previous studies. Most of the literature showed that temperature and humidity have a favorable relationship with the spread of COVID-19. On the other hand, 20 articles stated no relationship with humidity, and nine were revealed the negative effect of temperature. The daily number of COVID-19 confirmed cases increased by 4.86% for every 1 °C increase in temperature. Sunlight was also found as a significant factor in 10 studies. Moreover, increasing COVID-19 incidence appeared to be associated with increased air pollution, particularly PM10, PM2.5, and O 3 concentrations. Studies also indicated a negative relation between the air quality index and the COVID-19 cases. This review determined environmental variables' complex and contradictory effects on COVID-19 transmission. Hence it becomes essential to include environmental parameters into epidemiological models and controlled laboratory experiments to draw more precious results.

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Understanding the COVID-19 pandemic prevalence in Africa through optimal feature selection and clustering: evidence from a statistical perspective

Sidibé

Yonaba

Fowé

et al. 2022

Environ Dev Sustain

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The COVID-19 pandemic, which outbroke in Wuhan (China) in December 2019, severely hit almost all sectors of activity in the world as a consequence of the restrictive measures imposed. Two years later, Africa still emerges as the least affected continent by the pandemic. This study analyzed COVID-19 prevalence across African countries through country-level variables prior to clustering. Using Spearman-rank correlation, multicollinearity analysis and univariate filtering, 9 country-level variables were identified from an initial set of 34 variables. These variables relate to socioeconomic status, population structure, healthcare system and environment and the climatic setting. A clustering of the 54 African countries is further carried out through the use of agglomerative hierarchical clustering (AHC) method, which generated 3 distinctive clusters. Cluster 1 (11 countries) is the most affected by COVID-19 (median of 63,508.6 confirmed cases and 946.5 deaths per million) and is composed of countries with the highest socioeconomic status. Cluster 2 (27 countries) is the least affected (median of 4473.7 confirmed cases and 81.2 deaths per million), and mainly features countries with the least socioeconomic features and international exposure. Cluster 3 (16 countries) is intermediate in terms of COVID-19 prevalence (median of 2569.3 confirmed cases and 35.7 deaths per million) and features countries the least urbanized and geographically close to the equator, with intermediate international exposure and socioeconomic features. These findings shed light on the main features of COVID-19 prevalence in Africa and might help refine effectively coping management strategies of the ongoing pandemic. Supplementary Information The online version contains supplementary material available at 10.1007/s10668-022-02646-3.

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Environmental quality, climate indicators, and COVID-19 pandemic: insights from top 10 most affected states of the USA

Cited by 42 publications

References 47 publications

Impact of meteorological parameters and population density on variants of SARS-CoV-2 and outcome of COVID-19 pandemic in Japan

Impact of meteorological parameters and population density on variants of SARS-CoV-2 and outcome of COVID-19 pandemic in Japan

A review of the impact of environmental factors and pollutants on covid-19 transmission

Understanding the COVID-19 pandemic prevalence in Africa through optimal feature selection and clustering: evidence from a statistical perspective

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