Selected article for: "average minimum temperature and correlation study"

Author: Tosepu, Ramadhan; Gunawan, Joko; Effendy, Devi Savitri; Ahmad, La Ode Ali Imran; Lestari, Hariati; Bahar, Hartati; Asfian, Pitrah
Title: Correlation between weather and Covid-19 pandemic in Jakarta, Indonesia
  • Cord-id: og0zw56h
  • Document date: 2020_7_10
  • ID: og0zw56h
    Snippet: This study aims to analyze the correlation between weather and covid-19 pandemic in Jakarta Indonesia. This study employed a secondary data analysis of surveillance data of covid-19 from the Ministry of Health of the Republic of Indonesia and weather from the Meteorological Department of the Republic of Indonesia. The components of weather include minimum temperature (°C), maximum temperature (°C), temperature average (°C), humidity (%), and amount of rainfall (mm). Spearman-rank correlation
    Document: This study aims to analyze the correlation between weather and covid-19 pandemic in Jakarta Indonesia. This study employed a secondary data analysis of surveillance data of covid-19 from the Ministry of Health of the Republic of Indonesia and weather from the Meteorological Department of the Republic of Indonesia. The components of weather include minimum temperature (°C), maximum temperature (°C), temperature average (°C), humidity (%), and amount of rainfall (mm). Spearman-rank correlation test was used for data analysis. Among the components of the weather, only temperature average (°C) was significantly correlated with covid-19 pandemic (r = 0.392; p < .01). The finding serves as an input to reduce the incidence rate of covid-19 in Indonesia.

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