Temperature and precipitation associate with Covid-19 new daily cases: A correlation study between weather and Covid-19 pandemic in Oslo, Norway

Temperature and precipitation associate with Covid-19 new daily cases: A correlation study between weather and Covid-19 pandemic in Oslo, Norway
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DOI:
10.1016/j.scitotenv.2020.139659
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发表时间:
2020-10-01
影响因子:
9.8
通讯作者:
Menebo, Mesay Moges
Menebo, Mesay Moges
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Menebo, Mesay Moges

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本研究旨在分析挪威首都奥斯陆的天气与 covid-19 大流行之间的相关性。这项研究对挪威公共卫生研究所的 covid-19 监测数据和挪威气象研究所的天气数据进行了二次数据分析。天气的组成部分包括最低气温(℃)、最高气温(℃)、平均气温(℃)、常温(℃)、降水量(毫米)和风速(米/秒)。由于不满足正态性,因此采用非参数相关性检验进行数据分析。最高气温(r = 0.347;p = .005)、正常气温(r = 0.293;p = .019)和降水量(r = -0.285;p = .022)与covid-19大流行显着相关。随着该国准备进入新的天气季节,这一发现可能会为预防 covid-19 的战略制定提供参考。 (c) 2020 作者。由 Elsevier B.V 出版。这是一篇基于 CC BY 许可证 (http://creativecommons.org/licenses/by/4.0/) 的开放获取文章。
This study aims to analyze the correlation between weather and covid-19 pandemic in the capital city of Norway, Oslo. This study employed a secondary data analysis of covid-19 surveillance data from the Norwegian public health institute and weather data from the Norwegian Meteorological institute. The components of weather include minimum temperature (degrees C), maximum temperature (degrees C), temperature average (degrees C), normal temperature (degrees C), precipitation level (mm) and wind speed (m/s). Since normality was not fulfilled, a non-parametric correlation test was used for data analysis. Maximum temperature (r = 0.347; p = .005), normal temperature(r = 0.293; p = .019), and precipitation level (r = -0.285; p = .022) were significantly correlated with covid-19 pandemic. The finding might serve as an input to a strategy making in the prevention of covid-19 as the country prepare to enter into a new weather season. (c) 2020 The Author. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).