Climate and influenza in Oslo: A case for vapour pressure

Kolberg, Espen Skarstein; Tranung, Morten; Sundell, Nicklas; Waagsbø, Bjørn

doi:10.1016/j.jcv.2019.06.002

Cited by 1 publication

(3 citation statements)

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“…China’s epidemiological studies proved that influenza virus is negatively correlated with temperature and WVP (Sun et al, 2018). In sub-frigid climate (Norway), WVP below 4 hPa on average may trigger influenza (Kolberg et al, 2019). Studies in tropical/subtropical regions of China have found that, WVP was negatively correlated with the incidence ofH1N1pdm09 (Influenza A) and Yamagata (Influenza B) (Pan et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

“…Studies from China also prove that influenza virus is negatively correlated with temperature and water vapor pressure (Cao et al, 2010;Sun et al, 2018;Yang et al, 2019;Su et al, 2020). The average water vapor pressure in sub-cold zone climate is lower than 4 hPa, which may trigger the occurrence of influenza (Kolberg et al, 2019). Studies in tropical/subtropical regions of China have found that, water vapor pressure is negatively correlated with the incidence of A/dnan1pdm09 (Influenza A) and Yamagata (Influenza B) (Pan et al, 2019).…”

Section: Two Meteorological Parameters Related To Moisture In Airmentioning

confidence: 99%

“…In epidemiological studies, seasonal and metering conditions of influenza were compared, and the results showed lower temperature and water vapor pressure can increase the survival and transmission of influenza virus in temperate regions (Shaman & Kohn, 2009;Shaman et al, 2010Shaman et al, & 2011Kolberg et al, 2019). Studies from China also prove that influenza virus is negatively correlated with temperature and water vapor pressure (Cao et al, 2010;Sun et al, 2018;Yang et al, 2019;Su et al, 2020).…”

Section: Two Meteorological Parameters Related To Moisture In Airmentioning

confidence: 99%

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Meteorological factors correlate with transmission of 2019-nCoV: Proof of incidence of novel coronavirus pneumonia in Hubei Province, China

Zhang

et al. 2020

Preprint

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Objective: many potential factors contribute to the outbreak of COVID-19. The aim of this study was to explore the effects of various meteorological factors on the incidence of COVID-19. Methods:Taking Hubei province of China as an example, where COVID-19 was first reported and there were the most cases, we collected 53 days of cases up to March 10(total 67773 confirmed cases).COVID-19 confirmed cases were retrieved from the official website of Hubei Health Commission. Ten meteorological parameters were provided by China meteorological administration, including average pressure (hPa), average temperature ( ), maximum temperature, minimum temperature ( ), average water vapor pressure (hPa), average relative humidity (%),etc.Cross correlation analysis and linear regression were used to judge the relationship of . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) : medRxiv preprint meteorological factors and increment of COVID-19 confirmed cases. Results:Under 95% CI, the increment of confirmed cases in Hubei were significantly correlated with four meteorological parameters of average pressure, average temperature, minimum temperature and average water vapor pressure (equivalent to absolute humidity).The average pressure was positively correlated with the increment ( r=+0.358,p=0.010).The negative correlations included average temperature (r=-0.306,p=0.029), minimum air temperature (r=-0.347,p=0.013), average water vapor pressure (r=-0.326,p=0.020). The linear regression results show if minimum temperature increases by 1 , the incremental confirmed cases in Hubei decreases by 72.470 units on average. Conclusion:The incidence of COVID-19 was significantly correlated with average pressure, average temperature, minimum temperature and average water vapor pressure. It is positively correlated with the average pressure and negatively correlated with the other three parameters. Compared with relative humidity, 2019-nCov is more sensitive to water vapor pressure. The reason why the epidemic situation in Hubei expanded rapidly is significantly related to the climate characteristics of low temperature and dryness of Hubei in winter.

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Section: Discussionmentioning

confidence: 99%