Distribution pattern and spatial analysis of factors for tuberculosis (TB) cases in Bandar Lampung City in 2022

Maria Tuntun, Siti Aminah, C. H. Yusrizal

Research output: Contribution to journalArticlepeer-review


Background: Indonesia will be free of TB (Tuberculosis) in 2050, and elimination will begin in 2030. TB cases are still high in Bandar Lampung City, so efforts are needed to solve the problem. Mapping of TB cases using a Geographic Information Spatial (GIS) approach was performed in this study to evaluate the spreading patterns of TB patients so that policies can be taken to deal with TB cases in an epidemiological manner. Methods: The research was conducted in 31 public health centers in Bandar Lampung City. The number of TB patients in this study was 879 people. Making maps for visualizing the spread of TB patients using Archgis software, data were analyzed with Geoda and Moran’s Index to see the spatial relationship between variables. Results: The spatial analysis using Geoda found a spatial relationship between TB patients and population density (p=0.00079) and the distance between the TB patient’s house and the health center (p=0.00000). However, there was a significant relationship between the underprivileged group (p=0.21682) and topography (p= 0.29139). The Z score for the 4 variables is quite large and >Z0.95, so the distribution pattern of TB patients is stated to be clustered (cluster). Conclusion: Based on the TB patients mapping and the spatial analysis, it is known that the distribution pattern of TB patients in Bandar Lampung City forms a clusters pattern, and there is an autocorrelation relationship between population density, underprivileged groups, height and distance from the TB patient’s house to the health center.

Original languageEnglish
Pages (from-to)50-58
Number of pages9
JournalBali Medical Journal
Issue number1
Publication statusPublished - 2023
Externally publishedYes


  • Distribution
  • Moran’s Index
  • spatial analysis
  • tuberculosis patient


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