Proceedings of the 4th International Conference on Sustainable Innovation 2020–Health Science and Nursing (ICoSIHSN 2020)

Climate Variability and the Incidence of COVID-19 in Jakarta

Authors
Fibriani Endah Puspa Dewa, Lidya Saras Wati, Ahmad Ma’ruf Muttaqin Aminanto, Fanana Firdaus, Siska Marina, Yuniar, Sani Rachman Soleman
Corresponding Author
Fibriani Endah Puspa Dewa
Available Online 16 January 2021.
DOI
10.2991/ahsr.k.210115.007How to use a DOI?
Keywords
Climate variability, COVID-19 incidence, Jakarta
Abstract

Since the first case was detected on March 3, 2020, the incidence of COVID-19 has exponentially increased in Jakarta. Some theories claimed that COVID-19 virus activities were affected by climate variability. The aim of this study is to search and predict the correlation between daily incidences of COVID-19 with climate variability in Jakarta. A cross sectional study was made, sampling total daily cases of COVID-19 in Jakarta from March 3 to July 3, 2020. Climate variability consisted of the mean daily temperature (MDT), mean daily humidity (MDH), mean daily rainfall (MDR), length of solar radiation (LSR), and mean daily wind velocity (MDW). The incidence of COVID-19 was registered by data in the Department of Health (DoH) in Jakarta, while climate variability was obtained by data from the Geophysical and Meteorological Board (BMKG). This data was analyzed by Pearson correlation, Poisson regression and linear regression using SPSS version 23. The mean and standard deviations of the incidences of COVID-19 during the four months were 98.32±56, MDT 29.1±0.77, MDH 77.9±3.84, MDR 51.3±453.2, LSR 5.03±2.5, and MDW 1.7±0.51. Pearson correlation was found as MDT p=0.048, r=0.17; MDH p=0.015, r= −0.219, MDR p=0.397, r=0.087, LSR p=0.8, r=0.01, MDW p=0.00, r=−0.3, respectively. However, linear regression in model two obtained MDW (p=0.00, β= −0.4, CI 95%= −79.4 to −34.3) and MDT (p=0.00, β=0.3, CI 95%= 13.2 to 40.1). Poisson Regression for MDW (p=0.00, β=−0.5, CI95%= −0.6 to −0.5), MDT (p=0.00, β=0.2, CI95%=0.17 to 0.27). Climate variability parameters such as MDT were positively correlated with incidences of COVID-19, and MDH and MDW were negatively associated with incidences of COVID-19. However, only MDT and MDW can predict the incidence of COVID-19 in Jakarta.

Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 4th International Conference on Sustainable Innovation 2020–Health Science and Nursing (ICoSIHSN 2020)
Series
Advances in Health Sciences Research
Publication Date
16 January 2021
ISBN
10.2991/ahsr.k.210115.007
ISSN
2468-5739
DOI
10.2991/ahsr.k.210115.007How to use a DOI?
Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Fibriani Endah Puspa Dewa
AU  - Lidya Saras Wati
AU  - Ahmad Ma’ruf Muttaqin Aminanto
AU  - Fanana Firdaus
AU  - Siska Marina
AU  - Yuniar
AU  - Sani Rachman Soleman
PY  - 2021
DA  - 2021/01/16
TI  - Climate Variability and the Incidence of COVID-19 in Jakarta
BT  - Proceedings of the 4th International Conference on Sustainable Innovation 2020–Health Science and Nursing (ICoSIHSN 2020)
PB  - Atlantis Press
SP  - 32
EP  - 36
SN  - 2468-5739
UR  - https://doi.org/10.2991/ahsr.k.210115.007
DO  - 10.2991/ahsr.k.210115.007
ID  - Dewa2021
ER  -