Correlation between weather and Covid-19 pandemic in Jakarta, Indonesia
Copyright © 2020 Elsevier B.V. All rights reserved..
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.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2020 |
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Erschienen: |
2020 |
Enthalten in: |
Zur Gesamtaufnahme - volume:725 |
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Enthalten in: |
The Science of the total environment - 725(2020) vom: 10. Juli, Seite 138436 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Tosepu, Ramadhan [VerfasserIn] |
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Links: |
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Themen: |
Coronavirus |
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Anmerkungen: |
Date Completed 01.06.2020 Date Revised 11.11.2023 published: Print-Electronic Citation Status MEDLINE |
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doi: |
10.1016/j.scitotenv.2020.138436 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM308837541 |
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520 | |a 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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