Influence of Weather Conditions on COVID-19 Case in Several Regions of Indonesia

Authors

Bella Deswanti , Marzuki Marzuki , Robi Muharsyah , Helmi Yusnaini , Ravidho Ramadhan

DOI:

10.29303/jppipa.v8i3.1851

Published:

2022-07-31

Issue:

Vol. 8 No. 3 (2022): July

Keywords:

COVID-19, Indonesia, Weather condition, Temperature, Rainfall

Research Articles

Downloads

How to Cite

Deswanti, B. ., Marzuki, M., Muharsyah, R., Yusnaini, H. ., & Ramadhan, R. . (2022). Influence of Weather Conditions on COVID-19 Case in Several Regions of Indonesia. Jurnal Penelitian Pendidikan IPA, 8(3), 1538–1547. https://doi.org/10.29303/jppipa.v8i3.1851
Crossref
Scopus
Google Scholar
Europe PMC

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Abstract

This study investigates the relationship between COVID-19 and weather conditions in six regions in Indonesia, namely South Jakarta, East Jakarta, North Jakarta, Jember Regency, Semarang City, and West Pasaman Regency. The study uses the daily number of positive cases of COVID-19 and weather data. Weather parameters used in this study are the average, maximum, and minimum temperature, rainfall, and relative humidity. Weather data were obtained from surface observation of Agency for Meteorology, Climatology and Geophysics (BMKG) and reanalysis product (ERA-5) from European Centre for Medium-Range Weather Forecasts (ECMWF). The effect of weather conditions on the number of COVID-19 cases was evaluated using the Spearman and Kendall correlation. It was found that the number of positive cases of COVID-19 had a relationship with weather parameters. A negative correlation was found between the temperature and the number of positive COVID-19 cases. Thus, the number of positive COVID-19 cases increases when the temperature decreases. On the other hand, rainfall and relative humidity positively correlate to the number of positive cases of COVID-19, which means that when the rainfall and relative humidity increase, the number of positive cases of COVID-19 increases. The relationship between weather conditions and the number of COVID-19 cases is more apparent in areas with a higher population density, such as Jakarta. The results of this study can be valuable information in handling COVID-19 cases.

References

Abdollahi, A., & Rahbaralam, M. (2020). Effect of temperature on the transmission of COVID-19: A machine learning case study in Spain. MedRxiv. 2020(May). https://doi.org/10.1101/2020.05.01.20087759

Ahmadi, M., Sharifi, A., Dorosti, S., Ghoushchi, S. J., & Ghanbari, N. (2020). Investigation of effective climatology parameters on COVID-19 outbreak in Iran. Science of the Total Environment, 729, 138705. https://doi.org/10.1016/j.scitotenv.2020.138705

Bashir, M. F., Ma, B., Komal, B., Bashir, M. A., Tan, D., & Bashir, M. (2020). Correlation between climate indicators and COVID-19 pandemic in New York, USA. Science of the Total Environment, 728, 138835. https://doi.org/10.1016/j.scitotenv.2020.138835

Briz-Redón, Ã., & Serrano-Aroca, Ã. (2020). A spatio-temporal analysis for exploring the effect of temperature on COVID-19 early evolution in Spain. Science of the Total Environment, 728, 138811. https://doi.org/10.1016/j.scitotenv.2020.138811

Gupta, D. (2020). Effect of ambient temperature on COVID-19 infection rate. Available at SSRN 3558470. https://dx.doi.org/10.2139/ssrn.3558470

Iddrisu, W. A., Appiahene, P., & Kessie, J. A. (2020). Effects of weather and policy intervention on COVID-19 infection in Ghana. ArXiv Preprint ArXiv:2005.00106. https://doi.org/10.48550/arXiv.2005.00106

Kemendagri. (2021). Visualisasi Data Kependudukan - Kementerian Dalam Negeri 2021. Retrieved January 1, 2022, from www.dukcapil.kemendagri.go.id

KPCPEN. (2021). COVID-19 Distribution Map. Retrieved August 1, 2021, from https://covid19.go.id/peta-sebaran

Kubota, Y., Shiono, T., Kusumoto, B., & Fujinuma, J. (2020). Multiple drivers of the COVID-19 spread: role of climate, international mobility, and region-specific conditions. Plos One. 15(9). https://doi.org/10.1371/journal.pone.0239385

Kumar, S. (2020). Effect of meteorological parameters on spread of COVID-19 in India and air quality during lockdown. Science of the Total Environment, 745, 141021. https://doi.org/10.1016/j.scitotenv.2020.141021

Livadiotis, G. (2020). Statistical analysis of the impact of environmental temperature on the exponential growth rate of cases infected by COVID-19. PLoS One, 15(5), e0233875. https://doi.org/10.1371/journal.pone.0233875

Lowen, A. C., Mubareka, S., Steel, J., & Palese, P. (2007). Influenza virus transmission is dependent on relative humidity and temperature. PLoS Pathogens, 3(10), e151. https://doi.org/10.1371/journal.ppat.0030151

Luo, W., Majumder, M. S., Liu, D., Poirier, C., Mandl, K. D., Lipsitch, M., & Santillana, M. (2020). The role of absolute humidity on transmission rates of the COVID-19 outbreak. MedRxiv. https://doi.org/10.1101/2020.02.12.20022467

Marzuki, Hashiguchi, H., Kozu, T., Shimomai, T., Shibagaki, Y., & Takahashi, Y. (2016). Precipitation microstructure in different Madden-Julian Oscillation phases over Sumatra. Atmospheric Research, 168. https://doi.org/10.1016/j.atmosres.2015.08.022

Marzuki, Hashiguchi, H., Shimomai, T., & Randeu, W. L. (2016). Cumulative distributions of rainfall rate over Sumatra. Progress In Electromagnetics Research M, 49. https://doi.org/10.2528/PIERM16043007

Marzuki, M., Suryanti, K., Yusnaini, H., Tangang, F., Muharsyah, R., Vonnisa, M., & Devianto, D. (2021). Diurnal variation of precipitation from the perspectives of precipitation amount, intensity and duration over Sumatra from rain gauge observations. International Journal of Climatology, 41(8). https://doi.org/10.1002/joc.7078

Marzuki, M., Yusnaini, H., Tangang, F., Muharsyah, R., Vonnisa, M., & Harmadi, H. (2022). Land–sea contrast of diurnal cycle characteristics and rain event propagations over Sumatra according to different rain duration and seasons. Atmospheric Research, 270, 106051. https://doi.org/10.1016/j.atmosres.2022.106051

Mecenas, P., Bastos, R. T. da R. M., Vallinoto, A. C. R., & Normando, D. (2020). Effects of temperature and humidity on the spread of COVID-19: A systematic review. PLoS One, 15(9), e0238339. https://doi.org/10.1371/journal.pone.0238339

Meyer, A., Sadler, R., Faverjon, C., Cameron, A. R., & Bannister-Tyrrell, M. (2020). Evidence that higher temperatures are associated with a marginally lower incidence of COVID-19 cases. Frontiers in Public Health, 8, 367. https://doi.org/10.3389/fpubh.2020.00367

Oktaviani, R. (2019). Estimation of Rainfall Rate Cumulative Distribution in Indonesia Using Global Satellite Mapping of Precipitation Data. KnE Engineering, 259–265. https://doi.org/10.18502/keg.v1i2.4450

Oliveiros, B., Caramelo, L., Ferreira, N. C., & Caramelo, F. (2020). Role of temperature and humidity in the modulation of the doubling time of COVID-19 cases. MedRxiv. https://doi.org/10.1101/2020.03.05.20031872

Pedrosa, R. H. L. (2020). The dynamics of Covid-19: weather, demographics and infection timeline. MedRxiv. https://doi.org/10.1101/2020.04.21.20074450

Qi, H., Xiao, S., Shi, R., Ward, M. P., Chen, Y., Tu, W., … Zhang, Z. (2020). COVID-19 transmission in Mainland China is associated with temperature and humidity: A time-series analysis. Science of the Total Environment, 728, 138778. https://doi.org/10.1016/j.scitotenv.2020.138778

Qi, Z., & Yu, Y. (2020). Epidemiological Features of the 2019 Novel Coronavirus Outbreak in China. Current Topics in Medicinal Chemistry, 20(13), 1137–1140. https://doi.org/10.2174/1568026620999200511094117

Ramadhan, R., Marzuki, M., Yusnaini, H., Muharsyah, R., Suryanto, W., Sholihun, S., … Hashiguchi, H. (2022). Capability of GPM IMERG Products for Extreme Precipitation Analysis over the Indonesian Maritime Continent. Remote Sensing, 14(2), 412. https://doi.org/10.3390/rs14020412

Ramadhan, R., Yusnaini, H., Marzuki, M., Muharsyah, R., Suryanto, W., Sholihun, S., … Battaglia, A. (2022). Evaluation of GPM IMERG Performance Using Gauge Data over Indonesian Maritime Continent at Different Time Scales. Remote Sensing, 14(5), 1172. https://doi.org/10.3390/rs14051172

Sajadi, M. M., Habibzadeh, P., Vintzileos, A., Shokouhi, S., Miralles-Wilhelm, F., & Amoroso, A. (2020). Temperature, humidity, and latitude analysis to estimate potential spread and seasonality of coronavirus disease 2019 (COVID-19). JAMA Network Open, 3(6), e2011834–e2011834. https://doi.org/10.1001%2Fjamanetworkopen.2020.11834

Shi, P., Dong, Y., Yan, H., Zhao, C., Li, X., Liu, W., … Xi, S. (2020). Impact of temperature on the dynamics of the COVID-19 outbreak in China. Science of the Total Environment, 728, 138890. https://doi.org/10.1016/j.scitotenv.2020.138890

Sil, A., & Kumar, V. N. (2020). Does weather affect the growth rate of COVID-19, a study to comprehend transmission dynamics on human health. Journal of Safety Science and Resilience, 1(1), 3–11. https://doi.org/10.1016/j.jnlssr.2020.06.004

Tobías, A., & Molina, T. (2020). Is temperature reducing the transmission of COVID-19? Environmental Research, 186, 109553. https://doi.org/10.1016%2Fj.envres.2020.109553

Tosepu, R., Gunawan, J., Effendy, D. S., Lestari, H., Bahar, H., & Asfian, P. (2020). Correlation between weather and Covid-19 pandemic in Jakarta, Indonesia. Science of the Total Environment, 725, 138436. https://doi.org/10.1016/j.scitotenv.2020.138436

Ujiie, M., Tsuzuki, S., & Ohmagari, N. (2020). Effect of temperature on the infectivity of COVID-19. International Journal of Infectious Diseases, 95, 301–303. https://doi.org/10.1016/j.ijid.2020.04.068

WHO. (2020a). Coronavirus disease (COVID-19). Retrieved April 24, 2022, from https://www.who.int/health-topics/coronavirus#tab=tab_1

WHO. (2020b). COVID-19 - China. Retrieved April 24, 2021, from https://www.who.int/emergencies/disease-outbreak-news/item/2020-DON229

Author Biographies

Bella Deswanti, Universitas Andalas

Marzuki Marzuki, Department of Physics, Universitas Andalas

Robi Muharsyah, Climatology and Geophysics of Republic Indonesia

Helmi Yusnaini, Universitas Andalas

Ravidho Ramadhan, Universitas Andalas

License

Copyright (c) 2022 Bella Deswanti, Marzuki Marzuki, Robi Muharsyah, Helmi Yusnaini, Ravidho Ramadhan

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors who publish with Jurnal Penelitian Pendidikan IPA, agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution 4.0 International License (CC-BY License). This license allows authors to use all articles, data sets, graphics, and appendices in data mining applications, search engines, web sites, blogs, and other platforms by providing an appropriate reference. The journal allows the author(s) to hold the copyright without restrictions and will retain publishing rights without restrictions.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in Jurnal Penelitian Pendidikan IPA.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).