Spatial analysis of tuberculosis cases diffusion based on population density in Bekasi Regency in 2017-2021

  • Yuanita Rizky Inggarputri Public Health Science Program Study, Department of Biostatistics and Population Studies, Faculty of Public Health, Universitas Indonesia
  • Indang Trihandini Public Health Science Program Study, Department of Biostatistics and Population Studies, Faculty of Public Health, Universitas Indonesia
  • Prihatini Dini Novitasari Public Health Science Program Study, Department of Biostatistics and Population Studies, Faculty of Public Health, Universitas Indonesia
  • Martya Rahmaniati Makful Public Health Science Program Study, Department of Biostatistics and Population Studies, Faculty of Public Health, Universitas Indonesia
Keywords: spatial analysis, tuberculosis, population density

Abstract

Purpose: This research aims to examine the spatial relationship between tuberculosis cases and population density and their spatial diffusion patterns in Bekasi Regency in 2017-2021.

Methods: Research using an ecological study design using spatial analysis to estimate and analyze the distribution of tuberculosis prevalence related to population density in 23 sub-districts in Bekasi Regency, compare data from 2017 to 2021 and evaluate the spatial correlation. The data is taken from secondary data from the Bekasi District Health Office for 2017-2021.

Results: This study shows a spatial autocorrelation between tuberculosis cases and population density from 2017 to 2021 (I>E;  p-value <0,05). There is spatial diffusion of cases characterized by expanding clusters with high tuberculosis cases.  High-high cluster in 2017, there was one sub-district. In 2018 there was also one sub-district. In 2019 there were two sub-districts. In 2020, there were three sub-districts. And in 2021, there were five districts.

Conclusion: This research shows a positive spatial autocorrelation in the incidence, which is influenced by population density in Bekasi Regency from year to year (2017-2021) with a clustering pattern.

Published
2023-01-27
How to Cite
Inggarputri, Y. R., Trihandini, I., Novitasari, P. D., & Makful, M. R. (2023). Spatial analysis of tuberculosis cases diffusion based on population density in Bekasi Regency in 2017-2021. BKM Public Health and Community Medicine, 39(01), e6462. https://doi.org/10.22146/bkm.v39i01.6462
Section
Articles