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Association between climatic conditions, population density and COVID-19 in Indonesia

The first emergence of Corona Virus Disease 2019 (COVID-19) confirmed cases found in Wuhan, China, has become a global crisis. At least 177 countries have been affected over 43,000,000 confirmed cases of corona positive and more than one million deaths until October 27th, 2020. Recent research h...

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Main Authors: R. Azizah,, Martini, Santi, Lilis Sulistyorini,, Mahmudah,, Pawitra, Aditya Sukma, Budijanto, Didik, Nagari, Stefanny Surya, Fitrahanjani, Cendana, Ramadhani, Fairuz Haniyah, Mohd. Talib Latif,
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2021
Online Access:http://journalarticle.ukm.my/16926/1/28.pdf
http://journalarticle.ukm.my/16926/
https://www.ukm.my/jsm/malay_journals/jilid50bil3_2021/KandunganJilid50Bil3_2021.html
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spelling my-ukm.journal.169262021-06-28T16:14:04Z http://journalarticle.ukm.my/16926/ Association between climatic conditions, population density and COVID-19 in Indonesia R. Azizah, Martini, Santi Lilis Sulistyorini, Mahmudah, Pawitra, Aditya Sukma Budijanto, Didik Nagari, Stefanny Surya Fitrahanjani, Cendana Ramadhani, Fairuz Haniyah Mohd. Talib Latif, The first emergence of Corona Virus Disease 2019 (COVID-19) confirmed cases found in Wuhan, China, has become a global crisis. At least 177 countries have been affected over 43,000,000 confirmed cases of corona positive and more than one million deaths until October 27th, 2020. Recent research has analyzed any possible factors causing the COVID-19 spreads were climate factors and population density. Indonesia was a tropical region known as the high-populated country in the World, with a 52.9% area with a high mean air temperature and over 267.7 million populations. Our study aims to analyze the correlation between climate, population density, and COVID-19 in Indonesia. We used the K-means cluster method and Fisher’s exact test to determine climatic conditions, population density, and COVID-19 clusters and study the correlation. Our research found that there is a correlation between climatic conditions and population density with COVID-19 (p: 0,034; p:0,004). Warmer climate conditions and densely populated regions contributed to the risen COVID-19 transmission in Indonesia. These are highlighted by the evidence of the top six provinces with highest COVID-19 cases are province classified in warmer climatic conditions (high air temperature, low rainfall, and humidity) and a fairly-dense to densely populated region. Penerbit Universiti Kebangsaan Malaysia 2021-03 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/16926/1/28.pdf R. Azizah, and Martini, Santi and Lilis Sulistyorini, and Mahmudah, and Pawitra, Aditya Sukma and Budijanto, Didik and Nagari, Stefanny Surya and Fitrahanjani, Cendana and Ramadhani, Fairuz Haniyah and Mohd. Talib Latif, (2021) Association between climatic conditions, population density and COVID-19 in Indonesia. Sains Malaysiana, 50 (3). pp. 879-887. ISSN 0126-6039 https://www.ukm.my/jsm/malay_journals/jilid50bil3_2021/KandunganJilid50Bil3_2021.html
institution Universiti Kebangsaan Malaysia
building Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description The first emergence of Corona Virus Disease 2019 (COVID-19) confirmed cases found in Wuhan, China, has become a global crisis. At least 177 countries have been affected over 43,000,000 confirmed cases of corona positive and more than one million deaths until October 27th, 2020. Recent research has analyzed any possible factors causing the COVID-19 spreads were climate factors and population density. Indonesia was a tropical region known as the high-populated country in the World, with a 52.9% area with a high mean air temperature and over 267.7 million populations. Our study aims to analyze the correlation between climate, population density, and COVID-19 in Indonesia. We used the K-means cluster method and Fisher’s exact test to determine climatic conditions, population density, and COVID-19 clusters and study the correlation. Our research found that there is a correlation between climatic conditions and population density with COVID-19 (p: 0,034; p:0,004). Warmer climate conditions and densely populated regions contributed to the risen COVID-19 transmission in Indonesia. These are highlighted by the evidence of the top six provinces with highest COVID-19 cases are province classified in warmer climatic conditions (high air temperature, low rainfall, and humidity) and a fairly-dense to densely populated region.
format Article
author R. Azizah,
Martini, Santi
Lilis Sulistyorini,
Mahmudah,
Pawitra, Aditya Sukma
Budijanto, Didik
Nagari, Stefanny Surya
Fitrahanjani, Cendana
Ramadhani, Fairuz Haniyah
Mohd. Talib Latif,
spellingShingle R. Azizah,
Martini, Santi
Lilis Sulistyorini,
Mahmudah,
Pawitra, Aditya Sukma
Budijanto, Didik
Nagari, Stefanny Surya
Fitrahanjani, Cendana
Ramadhani, Fairuz Haniyah
Mohd. Talib Latif,
Association between climatic conditions, population density and COVID-19 in Indonesia
author_facet R. Azizah,
Martini, Santi
Lilis Sulistyorini,
Mahmudah,
Pawitra, Aditya Sukma
Budijanto, Didik
Nagari, Stefanny Surya
Fitrahanjani, Cendana
Ramadhani, Fairuz Haniyah
Mohd. Talib Latif,
author_sort R. Azizah,
title Association between climatic conditions, population density and COVID-19 in Indonesia
title_short Association between climatic conditions, population density and COVID-19 in Indonesia
title_full Association between climatic conditions, population density and COVID-19 in Indonesia
title_fullStr Association between climatic conditions, population density and COVID-19 in Indonesia
title_full_unstemmed Association between climatic conditions, population density and COVID-19 in Indonesia
title_sort association between climatic conditions, population density and covid-19 in indonesia
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2021
url http://journalarticle.ukm.my/16926/1/28.pdf
http://journalarticle.ukm.my/16926/
https://www.ukm.my/jsm/malay_journals/jilid50bil3_2021/KandunganJilid50Bil3_2021.html
_version_ 1703961609920053248
score 13.211869

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