ISSN: 2639-2038
Authors: Nurjannah N* and Maria I
Background: Tuberculosis (TB) is still one of main public health problems in Indonesia. To efficiently help communities prevent TB, health offices need to be able to target TB prevention and intervention in populations with high risk. Case notification rate (CNR) has been used to estimate TB prevalence in community. This study aims to map provincial-level TB CNR and social determinants using publicly available secondary data to identify Indonesia provinces with high risk of TB to be targeted for focused TB prevention and interventions. Methods: Provincial-level TB CNR and its determinants such as poverty level, the percent of children having complete immunization, percent of village with Universal Child Immunization (UCI), population density, ratio of primary health care per subdistrict were collected using publicly available secondary data. GIS map were created to highlight areas with high risk of TB using ArcGIS. Statistical analysis was also performed using spearman correlation to confirm GIS findings. Results: The study indicated that there was variation of TB CNR across provinces in Indonesia that is correlated with percent of completed childhood vaccination, ratio primary healthcare per 100,000 population and percent of village with universal child immunization. Conclusion: Utilizing publicly available secondary data and GIS tools, the study identified variation of TB CNR at the provincial level in Indonesia for targeted TB prevention programs.
Keywords: TB; Case Notification Rate; Mapping; GIS; Indonesia
