Analisis Spasial Kasus Tuberkulosis Paru dan Gambaran Karakteristik Penderita di Provinsi Sumatera Utara Tahun 2023
Spatial Analysis of Pulmonary Tuberculosis Cases and Description of Patient Characteristics in North Sumatera Province in 2023
Abstract
Pulmonary tuberculosis is one of the deadliest infectious diseases, WHO reports
Indonesia has the second highest number of cases globally. In 2023, 809,000 cases
of pulmonary tuberculosis were recorded in Indonesia, showing an increase
compared to the pre-pandemic period. North Sumatra is the third position with the
highest pulmonary tuberculosis cases after West Java and East Java. The purpose
of this study was to determine the prevalence of pulmonary tuberculosis in North
Sumatra, the spatial distribution of pulmonary tuberculosis cases by districts/cities
in the form of maps, and a description characteristics of pulmonary tuberculosis
patients in North Sumatra in 2023. This research method used a descriptive GIS
and quantitative approach. The sample size of this study was 57,317 with secondary
data from the Indonesian Health Survey 2023 in North Sumatra and the data
analysis used was complex sample. The results showed that the prevalence of
pulmonary tuberculosis in North Sumatra in 2023 was 0.17 percent (95% CI =
0.12% - 0.24%), spatial analysis showed that the districts/cities in the very high
category were Simalungun (0.01%; 95% CI = 0.00% - 0.04%), Deli Serdang
(0.01%; 95% CI = 0.00% - 0.05%), and Langkat (0.04%; 95% CI = 0.01% -
0.014%). The characteristics of tuberculosis patients were mostly aged 26 - 36
years (0.03%; 95% CI = 0.01% - 0.08%), with the most gender being male (0.11%;
95% CI = 0.08% - 0.17%). The education level of tuberculosis patients was mostly
graduated from high school (0.05%; 95% CI = 0.03% - 0.08%), the type
employment of patients mostly self-employed (0.05%; 95% CI = 0.03% - 0.10%),
and dominated non-smokers (0.11%; 95% CI = 0.08% - 0.16%). These findings
highlight the need for stakeholders to focus resources on high-incidence districts to
optimize tuberculosis control efforts in North Sumatra.
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