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

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/).