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Predicting transmission of pulmonary tuberculosis in Daerah Istimewa Yogyakarta Province, Indonesia
Author(s) -
Al Asyary,
Aries Prasetyo,
Tris Eryando,
Yodi Mahendradhata
Publication year - 2019
Publication title -
geospatial health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.545
H-Index - 36
eISSN - 1970-7096
pISSN - 1827-1987
DOI - 10.4081/gh.2019.673
Subject(s) - geography , transmission (telecommunications) , estimation , ellipse , socioeconomics , pulmonary tuberculosis , demography , tuberculosis , cartography , medicine , computer science , sociology , telecommunications , pathology , engineering , mathematics , geometry , systems engineering
This study aims to explain the current dispersion of tuberculosis (TB) and provide evidence that could help predicting its future transmission in Daerah Istimewa Yogyakarta (DIY) Province, Java Island, Indonesia. One hundred thirty-two adult (>14 years old) individuals, with TB diagnosed by health professionals using the Directly Observed Treatment, Short Course strategy, were identified Their residential addresses and geographical patterns of movement were investigated by global positioning systems and descriptive spatial analysis using standard deviation ellipse analysis and kernel estimation. The dispersion of TB cases was studied by ellipse regression, which showed a pattern extending in a direction oriented from north-west to south-east centred on Kasihan District, Bantul Regency, DIY Province, located near Yogyakarta City. Levels of TB risk in the study area varied from non-existent to high as calculated by kernel estimation. We conclude that suburban communities, followed by densely populated residential areas, enabled by socio-economic factors, are more likely to see increased TB transmission in the future.

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