Disparity in weekly number of covid-19 cases in magelang regency: ecological study with temporal spatial analysis

Disparitas jumlah kasus mingguan covid-19 di kabupaten magelang: studi ekologi dengan analisis spasial temporal


  • Sidiq Purwoko Balai Penelitian dan Pengembangan Kesehatan Magelang
  • Agus Supinganto Stikes Yarsi Mataram
  • Ina Kusrini Balai Penelitian dan Pengembangan Kesehatan Magelang
  • Muhamad Arif Musoddaq Balai Penelitian dan Pengembangan Kesehatan Magelang




Spatial-Temporal Pattern, Covid-19, Geographic Information System


Magelang Regency is one of the regencies in Central Java whose territory is traversed by the main route between two provinces, namely Central Java Province and DI Yogyakarta Province. This strategic position resulted in high population mobility in the Magelang Regency area, making Magelang Regency the district with the second-highest number of positive Covid-19 cases in 2020 in Central Java Province with 4418 cases after Semarang City. The purpose of this study was to find out a spatial and temporal description of the weekly incidence of new Covid-19 cases at the peak of the 2020 pandemic, namely December. The type of research is quantitative descriptive research with ecological studies using spatial and temporal approaches. The sample is all new cases of Covid-19 during the peak period of cases, namely December 2020. The results show that based on spatial-temporal analysis, it is seen that areas crossed by national transportation routes have a tendency to increase weekly Covid-19 cases in December 2020. dominated by rural areas are sub-districts with a low tendency to add Covid-19 cases.


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Boskey, E. (2019). Ecological Analysis on Population Health [Internet]. Sexual Health, 1.

BPS Kabupaten Magelang. (2021). Kabupaten Magelang Dalam Angka tahun 2021. Kabupaten Magelang.

Desai, D. (2020). Urban densities and the Covid-19 pandemic: Upending the sustainability myth of global megacities. ORF Occasional Paper, 244(4), 1–4.

Ding, J., Yu, C. W., & Cao, S.-J. (2020). HVAC systems for environmental control to minimize the COVID-19 infection. Indoor and Built Environment, 29(9), 1195–1201.

Fahri, M. (2020). Melihat Peta Penyebaran Pasien Covid-19 Dengan Kombinasi QGIS Dan Framework Laravel. Jurnal Teknologi Terpadu, 6(1), 25–30.

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, 140033.

Huang, Q., Jackson, S., Derakhshan, S., Lee, L., Pham, E., Jackson, A., & Cutter, S. L. (2021). Urban-rural differences in COVID-19 exposures and outcomes in the South: A preliminary analysis of South Carolina. PloS One, 16(2), e0246548.

Indarto, F. (2012). Konsep Dasar Analisis Spasial. Yogyakarta: Penerbit Andi.

Kemenkes RI. (2021). Profil Kesehatan Indonesia Tahun 2020. In Pusdatin Kemenkes. Jakarta: Kementerian Kesehatan RI.

Kim, E., Shepherd, M. E., & Clinton, J. D. (2020). The effect of big-city news on rural America during the COVID-19 pandemic. Proceedings of the National Academy of Sciences, 117(36), 22009–22014.

Pourghasemi, H. R., Pouyan, S., Farajzadeh, Z., Sadhasivam, N., Heidari, B., Babaei, S., & Tiefenbacher, J. P. (2020). Assessment of the outbreak risk, mapping and infection behavior of COVID-19: Application of the autoregressive integrated-moving average (ARIMA) and polynomial models. Plos One, 15(7), e0236238.

Wei, J.-T., Liu, Y.-X., Zhu, Y.-C., Qian, J., Ye, R.-Z., Li, C.-Y., … Wang, Y. (2020). Impacts of transportation and meteorological factors on the transmission of COVID-19. International Journal of Hygiene and Environmental Health, 230, 113610.

WHO. (2020). https://www.who.int/news/item/30-01-2020-statement-on-the-second-meeting-of-the-international-health-regulations-(2005)-emergency-committee-regarding-the-outbreak-of-novel-coronavirus-(2019-ncov).

Xie, Z., Qin, Y., Li, Y., Shen, W., Zheng, Z., & Liu, S. (2020). Spatial and temporal differentiation of COVID-19 epidemic spread in mainland China and its influencing factors. Science of The Total Environment, 744, 140929.

Yuliana, Y. (2020). Corona virus diseases (Covid-19): Sebuah tinjauan literatur. Wellness And Healthy Magazine, 2(1), 187–192.

Zhou, C., Su, F., Pei, T., Zhang, A., Du, Y., Luo, B., … Zhu, Y. (2020). COVID-19: challenges to GIS with big data. Geography and Sustainability, 1(1), 77–87.



How to Cite

Purwoko, S. ., Supinganto, A., Kusrini, I. ., & Musoddaq, M. A. . (2021). Disparity in weekly number of covid-19 cases in magelang regency: ecological study with temporal spatial analysis: Disparitas jumlah kasus mingguan covid-19 di kabupaten magelang: studi ekologi dengan analisis spasial temporal. Bali Medika Jurnal, 8(4), 419–426. https://doi.org/10.36376/bmj.v8i4.243