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 has a...
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Fakulti Sains dan Teknologi Universiti Kebangsaan Malaysia
2021
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id-langga.1145102023-04-27T14:11:33Z https://repository.unair.ac.id/114510/ Association between Climatic Conditions, Population Density and COVID-19 in Indonesia R. Azizah, - Santi Martini, - Lilis Sulistyorini, - Mahmuda, - Aditya Sukma Pawitra, - Didik Budijanto, - Stefanny Surya Nagari, - Cendana Fitrahanjani, - Fairuz Haniyah Ramadhani, - Mohd. Talib Latif, - HB1951 Population geography 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. Fakulti Sains dan Teknologi Universiti Kebangsaan Malaysia 2021 Article PeerReviewed text en https://repository.unair.ac.id/114510/2/1%20corresponding.pdf text en https://repository.unair.ac.id/114510/3/1%20artikel.pdf text en https://repository.unair.ac.id/114510/4/1%20Similarity.pdf text en https://repository.unair.ac.id/114510/9/1%20Peer%20Review.pdf text en https://repository.unair.ac.id/114510/11/9%20%20article.pdf text en https://repository.unair.ac.id/114510/12/9%20VALIDASI.pdf text en https://repository.unair.ac.id/114510/13/Bukti%20Turnitin%209.pdf R. Azizah, - and Santi Martini, - and Lilis Sulistyorini, - and Mahmuda, - and Aditya Sukma Pawitra, - and Didik Budijanto, - and Stefanny Surya Nagari, - and Cendana Fitrahanjani, - and Fairuz Haniyah Ramadhani, - and Mohd. Talib Latif, - (2021) Association between Climatic Conditions, Population Density and COVID-19 in Indonesia. SAINS MALAYSIANA, 50 (3). pp. 879-887. ISSN 2735-0118 https://www.ukm.my/jsm http://doi.org/10.17576/jsm-2021-5003-28 |
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HB1951 Population geography R. Azizah, - Santi Martini, - Lilis Sulistyorini, - Mahmuda, - Aditya Sukma Pawitra, - Didik Budijanto, - Stefanny Surya Nagari, - Cendana Fitrahanjani, - Fairuz Haniyah Ramadhani, - Mohd. Talib Latif, - Association between Climatic Conditions, Population Density and COVID-19 in Indonesia |
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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. |
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Article PeerReviewed |
author |
R. Azizah, - Santi Martini, - Lilis Sulistyorini, - Mahmuda, - Aditya Sukma Pawitra, - Didik Budijanto, - Stefanny Surya Nagari, - Cendana Fitrahanjani, - Fairuz Haniyah Ramadhani, - Mohd. Talib Latif, - |
author_facet |
R. Azizah, - Santi Martini, - Lilis Sulistyorini, - Mahmuda, - Aditya Sukma Pawitra, - Didik Budijanto, - Stefanny Surya Nagari, - Cendana Fitrahanjani, - Fairuz Haniyah Ramadhani, - 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 |
Fakulti Sains dan Teknologi Universiti Kebangsaan Malaysia |
publishDate |
2021 |
url |
https://repository.unair.ac.id/114510/2/1%20corresponding.pdf https://repository.unair.ac.id/114510/3/1%20artikel.pdf https://repository.unair.ac.id/114510/4/1%20Similarity.pdf https://repository.unair.ac.id/114510/9/1%20Peer%20Review.pdf https://repository.unair.ac.id/114510/11/9%20%20article.pdf https://repository.unair.ac.id/114510/12/9%20VALIDASI.pdf https://repository.unair.ac.id/114510/13/Bukti%20Turnitin%209.pdf https://repository.unair.ac.id/114510/ https://www.ukm.my/jsm http://doi.org/10.17576/jsm-2021-5003-28 |
_version_ |
1765215929768083456 |