Environmental concern regarding the effect of humidity and temperature on 2019-nCoV survival: fact or fiction

Harmooshi, Narges Nazari; Shirbandi, Kiarash; Rahim, Fakher

doi:10.1007/s11356-020-09733-w

Cited by 69 publications

(53 citation statements)

References 81 publications

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“…Several researchers around the world have demonstrated an inverse relationship between air temperature and COVID-19 transmissibility. [23][24][25][26][27] Our results also are in agreement with the general understanding that higher ambient temperature can inversely influence COVID-19 transmissibility. 23,27 The study duration mark a period of increasing temperature in the Indian peninsula and our results indicate that, in general, high ambient temperatures were associated with lower R 0 estimates such that unit standard deviation increase in air temperature was associated with a 0.08 lower R 0 (Table 1, final model).On the other hand, we observed that a unit standard deviation increase in wind speed was associated with a 0.08 higher R 0 ( Table 1, (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.…”

Section: Discussionsupporting

confidence: 90%

Independent Association of Meteorological Characteristics With Initial Spread of Covid-19 in India

Kulkarni

Khandait

Narlawar

et al. 2020

Preprint

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Whether weather plays a part in the transmissibility of the novel COronaVIrus Disease-19 (COVID-19) is still not established. We tested the hypothesis that meteorological factors (air temperature, relative humidity, air pressure, wind speed and rainfall) are independently associated with transmissibility of COVID-19 quantified using the basic reproduction rate (R0). We used publicly available datasets on daily COVID-19 case counts (total n = 108,308), three-hourly meteorological data and community mobility data over a three-month period. Estimated R0 varied between 1.15-1.28. Mean daily air temperature (inversely) and wind speed (positively) were significantly associated with time dependent R0, but the contribution of countrywide lockdown to variability in R0 was over three times stronger as compared to that of temperature and wind speed combined. Thus, abating temperatures and easing lockdown may concur with increased transmissibility of COVID-19.

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Section: Discussionsupporting

confidence: 90%

Independent Association of Meteorological Characteristics With Initial Spread of Covid-19 in India

Kulkarni

Khandait

Narlawar

et al. 2020

Preprint

View full text Add to dashboard Cite

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“…Middle East respiratory syndrome-related coronavirus cases have also shown an increase with high temperatures, coupled with high ultraviolet index, low wind speeds, and low relative humidity (Altamimi et al 2019). Harmooshi et al ( 2020 ) have observed that the COVID-19 can survive for up to 9 days at 25 °C, and if this temperature rises to 30 °C, its lifespan will be shorter. Likewise, the COVID-19 is sensitive to humidity, and lifespan of viruses in 50% humidity is longer than that of 30%.…”

Section: Resultsmentioning

confidence: 99%

Association between climatic variables and COVID-19 pandemic in National Capital Territory of Delhi, India

Singh

Bhardwaj²,

Kumar³

2020

Environ Dev Sustain

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Globally, since the end of December 2019, coronavirus disease (COVID-19) has been recognized as a severe infectious disease. Therefore, this study has been attempted to examine the linkage between climatic variables and COVID-19 particularly in National Capital Territory of Delhi (NCT of Delhi), India. For this, daily data of COVID-19 has been used for the period March 14 to June 11, 2020, (90 days). Eight climatic variables such as maximum, minimum and mean temperature (°C), relative humidity (%), bright sunshine hours, wind speed (km/h), evaporation (mm), and rainfall (mm) have been analyzed in relation to COVID-19. To study the relationship among different climatic variables and COVID-19 spread, Karl Pearson's correlation analysis has been performed. The Mann-Kendall method and Sen's slope estimator have been used to detect the direction and magnitude of COVID-19 trends, respectively. The results have shown that out of eight selected climatic variables, six variables, viz. maximum temperature, minimum temperature, mean temperature, relative humidity, evaporation, and wind speed are positively associated with coronavirus disease cases (statistically significant at 95 and 99% confidence levels). No association of coronavirus disease has been found with bright sunshine hours and rainfall. Besides, COVID-19 cases and deaths have shown increasing trends, significant at 99% confidence level. The results of this study suggest that climatic conditions in NCT of Delhi are favorable for COVID-19 and the disease may spread further with the increasing temperature, relative humidity, evaporation and wind speed. This is the only study which has presented the analysis of COVID-19 spread in relation to several climatic variables for the most densely populated and rapidly growing city of India. Thus, considering the results obtained, effective policies and actions are necessary especially by identifying the areas where the spread rate is increasing rapidly in this megacity. The prevention and protection measures should be adopted aiming at to reduce the further transmission of disease in the city.

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“…Several researchers around the world have demonstrated an inverse relationship between air temperature and number of COVID-19 cases ( Demongeot et al, 2020 ; Guo et al, 2020 ; Harmooshi et al, 2020 ; Jahangiri et al, 2020 ; Malki et al, 2020 ; Pramanik et al, 2020 ; Ran et al, 2020 ; Ren et al, 2020 ; Seligmann et al, 2020a ; Steiger et al, 2020 ). Our results are in agreement with the general understanding that higher ambient temperature can inversely influence COVID-19 transmissibility ( Guo et al, 2020 ; Jahangiri et al, 2020 ).…”

Section: Discussionmentioning

confidence: 99%

Independent association of meteorological characteristics with initial spread of Covid-19 in India

Kulkarni

Khandait

Narlawar

et al. 2021

Science of The Total Environment

View full text Add to dashboard Cite

Whether weather plays a part in the transmissibility of the novel Coronavirus Disease-19 (COVID-19) is still not established. We tested the hypothesis that meteorological factors (air temperature, relative humidity, air pressure, wind speed and rainfall) are independently associated with transmissibility of COVID-19 quantified using the basic reproduction rate (R 0 ). We used publicly available datasets on daily COVID-19 case counts (total n = 108,308), three-hourly meteorological data and community mobility data over a three-month period. Estimated R 0 varied between 1.15 and 1.28. Mean daily air temperature (inversely), wind speed (positively) and countrywide lockdown (inversely) were significantly associated with time dependent R 0 , but the contribution of countrywide lockdown to variability in R 0 was over three times stronger as compared to that of temperature and wind speed combined. Thus, abating temperatures and easing lockdown may concur with increased transmissibility of COVID-19 in India.

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Environmental concern regarding the effect of humidity and temperature on 2019-nCoV survival: fact or fiction

Cited by 69 publications

References 81 publications

Independent Association of Meteorological Characteristics With Initial Spread of Covid-19 in India

Independent Association of Meteorological Characteristics With Initial Spread of Covid-19 in India

Association between climatic variables and COVID-19 pandemic in National Capital Territory of Delhi, India

Independent association of meteorological characteristics with initial spread of Covid-19 in India

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