A correlation study between meteorological parameters and COVID-19 pandemic in Mumbai, India

Kumar, Gaurav; Kumar, Ritu

doi:10.1016/j.dsx.2020.09.002

Cited by 46 publications

(36 citation statements)

References 29 publications

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“…In contrast, the minimum temperature has also been found to be associated with the number of active COVID-19 cases. Additionally, the maximum and average temperatures were inversely correlated with COVID-19 cases in Mumbai, India ( Kumar and Kumar, 2020 ). In addition, temperature was found to be constantly well-correlated with COVID-19 incidence in both Wuhan and XiaoGan but had an anti-correlation ( Li et al, 2020 ).…”

Section: Resultsmentioning

confidence: 99%

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Influence of air pollution and meteorological factors on the spread of COVID-19 in the Bangkok Metropolitan Region and air quality during the outbreak

Sangkham

Thongtip

Vongruang

2021

Environmental Research

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This study investigated the effects of weather conditions, air pollutants, and the air quality index (AQI) on daily cases of COVID-19 in the Bangkok Metropolitan Region (BMR). In this research, we collected data from January 1 to March 30, 2020 (90 days). This study used secondary data of meteorological and air pollutant parameters obtained from the Pollution Control Department of the Ministry of Natural Resources and Environment as well as daily confirmed COVID-19 case data in the BMR obtained from the official webpage of the Department of Disease Control, Ministry of Public Health, Thailand. We employed descriptive statistics, and Spearman and Kendall rank correlation tests were used to investigate the associations of weather variables, air pollutants, AQI with daily confirmed COVID-19 cases. Our findings indicate that CO, NO 2 , SO 2 , O 3 PM 10 , PM 2.5 , AQI have a significantly negative association with daily confirmed COVID-19 cases in the BMR, whereas meteorological parameters such as temperature, relative humidity (RH), absolute humidity (AH) and wind speed (WS) showed significant positive associations with daily confirmed COVID-19 cases in the BMR. Our study is a useful supplement to encourage regulatory bodies to promote environmental strategies, as air pollution regulation could be a sustainable policy for mitigating the harmful effects of air pollutants. Furthermore, this study provides new insights into the relationship between daily meteorological factors, AQI, and air pollutants and daily confirmed COVID-19 cases in the BMR. These data may provide useful information to the public health authorities and decision makers in Thailand, as well as to the World Health Organization (WHO), in order to set proper strategic aimed at reducing the impact of the COVID-19. Future studies concerning SARS-CoV-2 and other viruses should investigate the possibility of infectious droplet dispersion in indoor and outdoor air during and after the epidemic outbreak.

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Section: Resultsmentioning

confidence: 99%

“…Absolute humidity (g/m -3 ) is defined as the weight of water vapor per unit volume of air and is estimated using the Clausius-Clapeyron equation; it can be described as follows ( Gupta et al, 2020 ; Kumar and Kumar, 2020 ; Pani et al, 2020 ; Qi et al, 2020 ):

where T represents the temperature in degree Celsius.…”

Section: Methodsmentioning

confidence: 99%

Influence of air pollution and meteorological factors on the spread of COVID-19 in the Bangkok Metropolitan Region and air quality during the outbreak

Sangkham

Thongtip

Vongruang

2021

Environmental Research

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“…used Spearman rank correlation together with a 2-tailed significance test (P test) and Artificial Neural Network (ANN) technique to find the correlation between meteorological parameters and COVID-19 spread. It was found in this study that pressure and relative humidity had the strongest association with the number of active COVID-19 cases [ 20 ].…”

Section: Introductionmentioning

confidence: 94%

Correlation study to identify the factors affecting COVID-19 case fatality rates in India

Upadhyay¹,

Shukla

2021

Diabetes & Metabolic Syndrome: Clinical Research & Revi

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Background and aims In India, COVID-19 case fatality rates (CFRs) have consistently been very high in states like Punjab and Maharashtra and very low in Kerala and Assam. To investigate the discrepancy in state-wise CFRs, datasets on various factors related to demography, socio-economy, public health, and healthcare capacity have been collected to study their association with CFR. Methods State-wise COVID-19 data was collected till April 22, 2021. The latest data on the various factors have been collected from reliable sources. Pearson correlation, two-tailed P test, Spearman rank correlation, and Artificial Neural Network (ANN) structures have been used to assess the association between various factors and CFR. Results Life expectancies, prevalence of overweight, COVID-19 test positive rates, and H1N1 fatality rates show a significant positive association with CFR. Human Development Index, per capita GDP, public affairs index, health expenditure per capita, availability of govt. doctors & hospital beds, prevalence of certain diseases, and comorbidities like diabetes and hypertension show insignificant association with CFR. Sex ratio, health expenditure as a percent of GSDP, and availability of govt. hospitals show a significant negative correlation with CFR. Conclusion The study indicates that older people, males of younger age groups, and overweight people are at more fatality risk from COVID-19. Certain diseases and common comorbidities like diabetes and hypertension do not seem to have any significant effect on CFR. States with better COVID-19 testing rates, health expenditure, and healthcare capacity seem to perform better with regard to COVID-19 fatality rates.

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“…Kumar and Kumar ( 2020 ), meanwhile, analyzed the relationship between weather parameters and the COVID-19 pandemic in the Indian city of Mumbai. Based on a Spearman rank correlation test, they found evidence to suggest that temperature and relative humidity are related to cases of COVID-19.…”

Section: Introductionmentioning

confidence: 99%

How do air pollution and meteorological parameters contribute to the spread of COVID-19 in Saudi Arabia?

Maatoug

Triki

Fazel

2021

Environ Sci Pollut Res

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The current global health crisis is unprecedented in modern times. It has killed numerous people, caused great suffering, and turned many people’s lives upside down. This study seeks to investigate the role of some pollutants and the meteorological parameters in the transmission of the virus (SARS-CoV-2). The number of infections identified in Saudi Arabia, a country with a hot climate, was studied for a period between March 9, 2020 and November 19, 2020, which was characterized by a single wave with a peak of 4,919 cases on June 17, 2020. Based on count data models, we observed that air pollution and meteorological parameters considerably influenced the daily evolution of infections in most affected cities of Saudi Arabia (Riyadh, Jeddah, and Makkah) where the prevalence of the disease was relatively high during summer 2020. Our study suggests that air pollution could be a significant risk factor for respiratory infections and virus transmission. On the other hand, meteorological factors and high concentration of air pollutants should be taken into account by public decision-makers in Saudi Arabia when seeking to limit COVID-19 transmission.

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A correlation study between meteorological parameters and COVID-19 pandemic in Mumbai, India

Cited by 46 publications

References 29 publications

Influence of air pollution and meteorological factors on the spread of COVID-19 in the Bangkok Metropolitan Region and air quality during the outbreak

Influence of air pollution and meteorological factors on the spread of COVID-19 in the Bangkok Metropolitan Region and air quality during the outbreak

Correlation study to identify the factors affecting COVID-19 case fatality rates in India

How do air pollution and meteorological parameters contribute to the spread of COVID-19 in Saudi Arabia?

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