Modeling the Prevalence of Tuberculosis in Java, Indonesia

An Ecological Study Using Geographically Weighted Regression

Bibliographic Data

ID18992207
AuthorsI G N E Putra (0000-0002-1014-6949, University of Liverpool, corresponding author), Martya Rahmaniati (University of Indonesia), Tiopan Sipahutar (0000-0002-5292-1261, University of Indonesia), Tris Eryando (0000-0001-9053-3174, University of Indonesia)
Year2022
Volume30
Pages741-763
Publication date2022-06-14
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Population and Social Studies (JOURNAL)
Journal identifiersISSN: 2465-4418 • E-ISSN: 2465-4418
PublisherInstitute for Population and Social Research (PUBLISHER)
DOI10.25133/jpssv302022.041
OpenAlexW4283071923
LanguageEN
Citations received1
References cited6

There is a paucity of studies investigating the spatial pattern and factors associated with the prevalence of tuberculosis (TB) in Java. This study aimed to identify spatial autocorrelation, clusters, and factors associated with TB prevalence in Java using district- or city-level data. This was an ecological study using data from 118 districts or cities across six provinces in Java. Spatial analyses (i.e., Global Moran’s I, Local Indicator Spatial Autocorrelation [LISA], and Geographically Weighted Regression [GWR]) were used. This study found positive spatial autocorrelation of TB prevalence in Java (Global Moran’s I = .45, p = .001). Statistically significant high-high clusters (p

Cartography · Ecological study · Environmental health · Geography · Java · Logistic regression · Per capita · Population · Socioeconomics · Spatial analysis · Statistics · Computer Science · Data-Driven Disease Surveillance · Demography · Mathematics · Medicine · Spatial and Panel Data Analysis · Tuberculosis Research and Epidemiology

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