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  1. Article ; Online: Weather Variability and COVID-19 Transmission: A Review of Recent Research.

    McClymont, Hannah / Hu, Wenbiao

    International journal of environmental research and public health

    2021  Volume 18, Issue 2

    Abstract: ... of weather variables and COVID-19 transmission is vital in understanding the potential for seasonality and ... rainfall) and COVID-19 transmission. The review showed that temperature was reported as significant ... literature on the association between weather and COVID-19 incidence and provide possible suggestions ...

    Abstract Weather and climate play a significant role in infectious disease transmission, through changes to transmission dynamics, host susceptibility and virus survival in the environment. Exploring the association of weather variables and COVID-19 transmission is vital in understanding the potential for seasonality and future outbreaks and developing early warning systems. Previous research examined the effects of weather on COVID-19, but the findings appeared inconsistent. This review aims to summarize the currently available literature on the association between weather and COVID-19 incidence and provide possible suggestions for developing weather-based early warning system for COVID-19 transmission. Studies eligible for inclusion used ecological methods to evaluate associations between weather (i.e., temperature, humidity, wind speed and rainfall) and COVID-19 transmission. The review showed that temperature was reported as significant in the greatest number of studies, with COVID-19 incidence increasing as temperature decreased and the highest incidence reported in the temperature range of 0-17 °C. Humidity was also significantly associated with COVID-19 incidence, though the reported results were mixed, with studies reporting positive and negative correlation. A significant interaction between humidity and temperature was also reported. Wind speed and rainfall results were not consistent across studies. Weather variables including temperature and humidity can contribute to increased transmission of COVID-19, particularly in winter conditions through increased host susceptibility and viability of the virus. While there is less indication of an association with wind speed and rainfall, these may contribute to behavioral changes that decrease exposure and risk of infection. Understanding the implications of associations with weather variables and seasonal variations for monitoring and control of future outbreaks is essential for early warning systems.
    MeSH term(s) COVID-19/transmission ; Humans ; Humidity ; Incidence ; Temperature ; Weather
    Language English
    Publishing date 2021-01-06
    Publishing country Switzerland
    Document type Journal Article ; Review
    ISSN 1660-4601
    ISSN (online) 1660-4601
    DOI 10.3390/ijerph18020396
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Will weather stem the spread of the COVID-19 in Pakistan?

    Uzair, M / Kaleem, I / Arshad, M / Ali, R S / Zafar, A / Iqbal, M / Bashir, S

    European review for medical and pharmacological sciences

    2022  Volume 26, Issue 1, Page(s) 305–311

    Abstract: ... climate and weather conditions are considered key elements in the transmission of COVID-19 ... Many researchers believe that recent increases in COVID-19 cases correlate strongly with local temperatures and ... The present review focuses on the relationship between temperature and COVID-19, examining the virus's ...

    Abstract The pandemic of COVID-19 started spreading more exponentially across Pakistan since the end of February 2020. Numerous models and factors have been used to estimate predictions of the prevalence and severity of COVID-19 infections around the globe. While many factors play a role in the spread of COVID-19, climate and weather conditions are considered key elements in the transmission of COVID-19. Many researchers believe that recent increases in COVID-19 cases correlate strongly with local temperatures and factors (such as humidity, weather conditions, etc.) related to it. In this manuscript we test the hypothesis that SARS-CoV-2 spread is temperature-dependent by using the available data derived from Pakistan. The present review focuses on the relationship between temperature and COVID-19, examining the virus's viability and infectivity under various conditions. Our findings indicate that the trough and crest of the COVID-19 wave observed in 2020 are likely to repeat in the summer and winter of 2021, respectively. In Pakistan, temperatures, and humidity significantly affect the COVID-19 transmission and incidence. Like other types of beta-coronaviruses (ß-CoVs), the spread of COVID-19 may depend upon a great deal on temperature.
    MeSH term(s) COVID-19/epidemiology ; COVID-19/transmission ; Humans ; Humidity ; Incidence ; Pakistan/epidemiology ; Pandemics ; SARS-CoV-2 ; Seasons ; Temperature ; Weather
    Language English
    Publishing date 2022-02-03
    Publishing country Italy
    Document type Journal Article
    ZDB-ID 605550-3
    ISSN 2284-0729 ; 1128-3602 ; 0392-291X
    ISSN (online) 2284-0729
    ISSN 1128-3602 ; 0392-291X
    DOI 10.26355/eurrev_202201_27782
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Weather Variability and COVID-19 Transmission

    Hannah McClymont / Wenbiao Hu

    International Journal of Environmental Research and Public Health, Vol 18, Iss 396, p

    A Review of Recent Research

    2021  Volume 396

    Abstract: ... of weather variables and COVID-19 transmission is vital in understanding the potential for seasonality and ... rainfall) and COVID-19 transmission. The review showed that temperature was reported as significant ... literature on the association between weather and COVID-19 incidence and provide possible suggestions ...

    Abstract Weather and climate play a significant role in infectious disease transmission, through changes to transmission dynamics, host susceptibility and virus survival in the environment. Exploring the association of weather variables and COVID-19 transmission is vital in understanding the potential for seasonality and future outbreaks and developing early warning systems. Previous research examined the effects of weather on COVID-19, but the findings appeared inconsistent. This review aims to summarize the currently available literature on the association between weather and COVID-19 incidence and provide possible suggestions for developing weather-based early warning system for COVID-19 transmission. Studies eligible for inclusion used ecological methods to evaluate associations between weather (i.e., temperature, humidity, wind speed and rainfall) and COVID-19 transmission. The review showed that temperature was reported as significant in the greatest number of studies, with COVID-19 incidence increasing as temperature decreased and the highest incidence reported in the temperature range of 0–17 °C. Humidity was also significantly associated with COVID-19 incidence, though the reported results were mixed, with studies reporting positive and negative correlation. A significant interaction between humidity and temperature was also reported. Wind speed and rainfall results were not consistent across studies. Weather variables including temperature and humidity can contribute to increased transmission of COVID-19, particularly in winter conditions through increased host susceptibility and viability of the virus. While there is less indication of an association with wind speed and rainfall, these may contribute to behavioral changes that decrease exposure and risk of infection. Understanding the implications of associations with weather variables and seasonal variations for monitoring and control of future outbreaks is essential for early warning systems.
    Keywords COVID-19 ; weather ; temperature ; humidity ; precipitation ; wind speed ; Medicine ; R
    Subject code 333
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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