Preprint / Version 1

The Trend Distribution and Temporal Pattern Analysis of COVID-19 Pandemic using GIS framework in Malaysia


  • Mohd Sahrul Syukri Yahya Department of Real Estate Management, Faculty of Technology Management and Business, Universiti Tun Hussein Onn Malaysia (UTHM), 86400 Parit Raja, Batu Pahat, Johor
  • Edie Ezwan Mohd Safian Department of Real Estate Management, Faculty of Technology Management and Business, Universiti Tun Hussein Onn Malaysia (UTHM), 86400 Parit Raja, Batu Pahat, Johor
  • Burhaida Burhan Department of Real Estate Management, Faculty of Technology Management and Business, Universiti Tun Hussein Onn Malaysia (UTHM), 86400 Parit Raja, Batu Pahat, Johor



Currently, the most severe infectious disease was the new coronavirus disease (COVID-19) in all countries in 2019 and 2020. At the end of December 2019, in Wuhan, China, there was an international cluster of cases involving Novel Coronavirus pneumonia (SARS-COV-2). The worldwide number of active cases and deaths is rising, especially in the top countries such as the United States (U.S), Brazil, and India. In Malaysia, these cases of COVID-19 have significantly decreased the number of active infections and deaths in May and June 2020. COVID-19 has had a significant effect on human life, socio-economic growth, and public relation. It is aimed at senior groups and individuals with various health conditions such as cancer, respiratory problems, diabetes, hypertension, and heart-related issues. The World Health Organization (WHO) has formally declared COVID-19 as an international emergency case. As a result, Kuala Lumpur was the most affected state in Malaysia as of 12 July 2020, followed by Selangor, Negeri Sembilan, and Johor. Regardless of the infection chain ratio, the favorable cases in each affected state of Malaysia are rising every day. The Malaysian Government attempted to split the infection chain ratio affected by COVID-19 via the lockdown definition. The research aims to use GIS software to analyze COVID-19's spatial trend distribution and temporal pattern analysis for human health. Geographic information systems (GIS) technologies have played a significant role in spatial information, spatial tracking of confirmed cases, active case, death, and discharge cases, and predicting the magnitude of the spread. Monitoring, evaluating, and planning using geospatial analysis are essential for controlling the spread of COVID-19 within the country.




Download data is not yet available.


DOSM (Department of Statistics Malaysia). (2011). Population Distribution and Basic Demographic Characteristic Report 2010.

Franch-Pardo, I., Napoletano, B. M., Rosete-Verges, F., & Billa, L. (2020). Spatial analysis and GIS in the study of COVID-19. A review. Science of the Total Environment, 739.

Jiang, S., Shi, Z., Shu, Y., Song, J., Gao, G. F., Tan, W., & Guo, D. (2020, March 21). A distinct name is needed for the new coronavirus. The Lancet. Lancet Publishing Group.

K, R. (2020). Application of GIS in COVID -19 Monitoring and Surveillance. International Journal for Research in Applied Science and Engineering Technology, 8(5), 1435–1440.

Kumar, K., Saho, S., Bharti, B. K., & Walker, S. (2020). Spatial distribution and impact assessment of COVID-19 on human health using geospatial technologies in India. International Journal of Multidisciplinary Research and Development, 7(5), 57 – 64.

Li, Q., Guan, X., Wu, P., Wang, X., Zhou, L., Tong, Y., Ren, R., Leung, K., Lau, E.S., Wong, J.Y., Xing, X., Xiang, N., Wu, Y., Li, C., Chen, Q., Li, D., Liu, T., Zhao, J., Li, M., Tu, W., Chen, C., Jin, L., Yang, R., Wang, Q., Zhou, S., Wang, R., Liu, H., Luo, Y., Liu, Y., Shao, G., Li, H., Tao, Z., Yang, Y., Deng, Z., Liu, B., Ma, Z., Zhang, Y., Shi, G., Lam, T.T., Wu, J.T., Gao, G.F., Cowling, B.J., Yang, B., Leung, G.M., & Feng, Z. (2020). Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia. The New England Journal of Medicine, 382, 1199 - 1207.

Likassa, H. T. (2020). The Impacts of Covariates on Spatial Distribution of CORONA Virus 2019 (COVID-19): WHO Data through Multivariate Analysis of Covariance (MANCOVA). Eurasian Journal of Medicine and Oncology.

Ma, X.; Wang, D.; Xu, W, G.; Gao, F; Tan, W., (2019). A novel coronavirus from patients with pneumonia in China. N. Engl. J. Med., A brief report. Massachusetts Medical Society.

Mackenzie, J.S., & Smith, D.W. (2020). COVID-19: a novel zoonotic disease caused by a coronavirus from China: what we know and what we don’t. Microbiology Australia.

MOH (Ministry of Health). (2020). The Current Situation of COVID-19 Pandemic in Malaysia. Ministry of Health for Malaysia.

Mo, C., Tan, D., Mai, T., Bei, C., Qin, J., Pang, W., & Zhang, Z. (2020). An analysis of spatiotemporal pattern for COIVD-19 in China based on space-time cube. Journal of Medical Virology.

Murugesan, B., Karuppannan, S., Mengistie, A. T., Ranganathan, M., & Gopalakrishnan, G. (2020). Distribution and Trend Analysis of COVID-19 in India: Geospatial Approach. Journal of Geographical Studies, 1–9.

Sarfo, A.K., & Karuppannan, S. (2020). Application of Geospatial Technologies in the COVID-19 Fight of Ghana. Transactions of the Indian National Academy of Engineering, 1 - 12.

Tang, W., Liao, H., Marley, G., Wang, Z., Cheng, W., Wu, D., & Yu, R. (2020). The Changing Patterns of Coronavirus Disease 2019 (COVID-19) in China: A Tempogeographic Analysis of the Severe Acute Respiratory Syndrome Coronavirus 2 Epidemic. Clinical Infectious Diseases.

WHO (World Health Organization). 2020. Coronavirus disease (COVID-19) situation reports. Accessed 12 July 2020.

WHO (World Health Organization). 2020. WHO Coronavirus Disease (COVID-19) Dashboard. Accessed 18 July 2020.

Xie, X., Naminse, E. Y., Liu, S., & Yi, Q. (2020). The spatial and temporal pattern of COVID-19 and its effect on humans’ development in China. Global Journal of Environmental Science and Management, 6(Special Issue (Covid-19)), 107–118.

Yang, W., Deng, M., Li, C., & Huang, J. (2020). Spatio-temporal patterns of the 2019-ncov epidemic at the county level in hubei province, china. International Journal of Environmental Research and Public Health, 17(7).

Zhu, N., Zhang, D., Wang, W., Li, X., Yang, B., Song, J., … Tan, W. (2020). A novel coronavirus from patients with pneumonia in China, 2019. New England Journal of Medicine, 382(8), 727–733.