Does Temperature Affect COVID-19 Transmission?

Kassem, Aly Zein Elabdeen

doi:10.3389/fpubh.2020.554964

Cited by 23 publications

(19 citation statements)

References 25 publications

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“…From the parameters examined in the study, we can clearly denote that active time is a very close associate variable next to ambient temperature in determining the fluctuations in the COVID-19 in terms of assessing the number of cases per million population, however population density shows very rare relationship without any consistent influence on the disease incidence rate. In this backdrop, our results on temperature effect on active time and its subsequent influence on confirmed cases apparently agree with findings of [9,40,41].…”

Section: Discussionsupporting

confidence: 91%

Global Analysis of Potential COVID 19 Transmission and Enabling Factors

Magd

Karyamsetty

2021

GJEID

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Background: Coronavirus disease has caused global turmoil especially causing huge impact on human life all over the world. Current reports states more than 3 million people have lost life and more than 160 million people are known to be suspected with the SARS-CoV-2. Transmission and disease incidence rates are indicators to assess the seriousness of COVID-19 pandemic and studies to understand the factors that aid in this direction are very vital to curb the disease. Methods:The study intends to discover the relationship by performing statistical analysis using correlation and multiple linear regression analysis between the variable's population density, temperature, relative humidity, and active time of virus and find out the parameters that predict the cases reported per million population in 83 countries. Results: Analysis indicates active time of virus in days is very positively associated with the COVID -19 cases in all the countries r = .604, p < .01. Active time of virus shows strong negative correlation with temperature r = -.930, p < .01 revealing that rise in temperature will reduce the virus activity in the population. Together, these variables will account for 36.2% variance in the cases per million population with no significant prediction estimated from any factor. Conclusion: The study outcomes clearly state that population density alone is insufficient to estimate the extent of influence on COVID -19 cases as the number of persons living per sq. km of land is a dynamic quantity tend to fluctuate over time and space due to migration of population. In conjunction to the previous studies reported on the environmental and climatic factors influencing the cases reported, population dynamics does not show much significance on the disease spread and incidence. Contribution: The rise in confirmed cases and the high incidence rate reported in countries can be attributed to the active time of virus life expectancy as there is a positive correlation observed between the COVID-19 cases reported and the virus active time in the examined countries. Also, environment and climatic factors play a role in modulating the infection and transmission rate with less significant influence of population density on the COVID-19.

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Section: Discussionsupporting

confidence: 91%

Global Analysis of Potential COVID 19 Transmission and Enabling Factors

Magd

Karyamsetty

2021

GJEID

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“…The study used a Pearson's correlation matrix but also modelled nonlinear associations of temperature and risk with random forest statistical methods. In contrast, Kassem (2020) reported the impact of temperature on cases per million in 43 countries divided into three groups according to first time disease introduction. There was only a slightly significant ( P < 0.1) inverse relationship in only one of the groups.…”

Section: The Seasonal Behaviour Of Covid-19mentioning

confidence: 99%

The seasonal behaviour of COVID-19 and its galectin-like culprit of the viral spike

Caetano-Anollés¹,

Hernandez

Mughal

et al. 2022

Covid-19: Biomedical Perspectives

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“…Several studies have been displayed temperature as one of the factors inversely associated with COVID-19 transmission (3)(4)(5)(8)(9)(10). But some other studies have not been attributed such a major impact to temperature and relative humidity (1,11,12).…”

Section: Discussionmentioning

confidence: 99%

The Correlation between temperature and COVID-19 Incidence: An ecologic study

Mirahmadizadeh¹,

Heiran²,

Hemmati³

et al. 2021

Preprint

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Background It has been hypothesized that the COVID-19 is less prevalent in regions with warm climates. Here we investigated the correlation between temperature and the cumulative COVID-19 incidence rate. Method Daily data of the temperature and the cumulative COVID-19 incidence rate were obtained from meteorological stations’ reports and CORONALAB database, respectively, for every 36 counties of Fars province, southern Iran. Results A decreasing pattern in the cumulative incidence rate of COVID-19 was occurred at 20-25°C and 25-35°C for counties with the cold climate and counties with the warm climate, respectively; while it was increased at both upper and lower temperatures. Conclusion It appears that higher rates of disease transmission at temperatures below 20°C and above 35°C might be linked to people’s indoor gatherings, coupled with insufficient ventilation.

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Does Temperature Affect COVID-19 Transmission?

Cited by 23 publications

References 25 publications

Global Analysis of Potential COVID 19 Transmission and Enabling Factors

Global Analysis of Potential COVID 19 Transmission and Enabling Factors

The seasonal behaviour of COVID-19 and its galectin-like culprit of the viral spike

The Correlation between temperature and COVID-19 Incidence: An ecologic study

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