University of South-Eastern Norway, Norway.
Sci Total Environ. 2020 Oct 1;737:139659. doi: 10.1016/j.scitotenv.2020.139659. Epub 2020 May 29.
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 (°C), maximum temperature (°C), temperature average (°C), normal temperature (°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.
本研究旨在分析挪威首都奥斯陆的天气与新冠疫情之间的相关性。本研究采用了挪威公共卫生研究所的新冠疫情监测数据和挪威气象研究所的天气数据的二次数据分析。天气的组成部分包括最低温度（°C）、最高温度（°C）、平均温度（°C）、正常温度（°C）、降水水平（mm）和风速（m/s）。由于不符合正态性，因此使用非参数相关检验进行数据分析。最高温度（r = 0.347;p =.005）、正常温度（r = 0.293;p =.019）和降水水平（r = -0.285;p =.022）与新冠疫情显著相关。该发现可能为该国准备进入新的天气季节时制定新冠疫情防控策略提供依据。
