《MedRxiv,3月30日,Meteorological factors and Covid-19 incidence in 310 regions across the world》

  • 来源专题:COVID-19科研动态监测
  • 编译者: zhangmin
  • 发布时间:2020-03-31
  • Meteorological factors and Covid-19 incidence in 310 regions across the world

    Nazrul Islam, Sharmin Shabnam, A Mesut Erzurumluoglu

    doi: https://doi.org/10.1101/2020.03.27.20045658

    Abstract

    In absence of empirical research data, there has been considerable speculative hypothesis on the relationship between climatic factors (such as temperature and humidity) and the incidence of Covid-19. This study analyzed the data from 311 regions across 116 countries with ≥1 reported case by March 12, 2020, and found that temperature, humidity, and wind speed were inversely associated with the incidence rate of Covid-19 after adjusting for the regional and temporal trend in the incidence of Covid-19, columnar density of ozone, precipitation probability, sea-level air-pressure, and length of daytime.

    *注,本文为预印本论文手稿,是未经同行评审的初步报告,其观点仅供科研同行交流,并不是结论性内容,请使用者谨慎使用.

  • 原文来源:https://www.medrxiv.org/content/10.1101/2020.03.27.20045658v1
相关报告
  • 《3月30日_全球310个地区的气象因素和COVID-19发病率的关联》

    • 来源专题:COVID-19科研动态监测
    • 编译者:zhangmin
    • 发布时间:2020-04-01
    • 1.时间:2020年3月30日 2.机构或团队:牛津大学、宾夕法尼亚州立大学、剑桥大学 3.事件概要: medRxiv预印平台于3月30日发表了牛津大学等的题为“Meteorological factors and Covid-19 incidence in 310 regions across the world”的文章。文章指出,在缺乏经验研究数据的情况下,关于气候因素(例如温度和湿度)与COVID-19发病率之间关系存在相当多的推测。文中分析了截至2020年3月12日报告的≥1个病例的116个国家的311个地区的数据,在调整了COVID-19的发病率、臭氧的柱状密度、降水概率、海平面气压和白天时长等因素的区域和时间趋势后,发现温度、湿度和风速与COVID-19的发生率成反比。 *注,本文为预印本论文手稿,是未经同行评审的初步报告,其观点仅供科研同行交流,并不是结论性内容,请使用者谨慎使用。 4.附件: 原文链接:https://www.medrxiv.org/content/10.1101/2020.03.27.20045658v1
  • 《MedRxiv,3月30日,Global, Regional and National Incidence and Case-fatality rate of Novel Coronavirus (COVID-19) across 154 countries and territories》

    • 来源专题:COVID-19科研动态监测
    • 编译者:zhangmin
    • 发布时间:2020-03-31
    • Global, Regional and National Incidence and Case-fatality rate of Novel Coronavirus (COVID-19) across 154 countries and territories: A systematic assessment of cases reported from January to March 16, 2020 Akshaya Srikanth Bhagavathula, Jamal Rahmani, Wafa Ali Aldhaleei, Alessandro Rovetta doi: https://doi.org/10.1101/2020.03.26.20044743 Abstract Background: The surge of 2019 novel coronavirus disease (COVID −19) outbreak was turned to a pandemic with hundreds and thousands of cases reported globally. The number of cases dramatically increased from early March 2020. Aim: We assessed the cumulative change in the incidence and case−fatality rate of COVID −19 at global, regional, and national levels from January to March 16, 2020, across 154 affected countries and territories globally. Methods: We collected data of COVID −19 cases using the GitHub repository, that provided support to realtime surveillance information developed by the Center for Systems Science and Engineering (CSSE), Johns Hopkins University, USA. *注,本文为预印本论文手稿,是未经同行评审的初步报告,其观点仅供科研同行交流,并不是结论性内容,请使用者谨慎使用.