Predicting transmission of pulmonary tuberculosis in Daerah Istimewa Yogyakarta Province, Indonesia
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 healt...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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PAGEPress Publications
2019-05-01
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| Series: | Geospatial Health |
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| Online Access: | https://geospatialhealth.net/index.php/gh/article/view/673 |
| _version_ | 1818749827699179520 |
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| author | Al Asyary Aries Prasetyo Tris Eryando Yodi Mahendradhata |
| author_facet | Al Asyary Aries Prasetyo Tris Eryando Yodi Mahendradhata |
| author_sort | Al Asyary |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-18T04:09:58Z |
| format | Article |
| id | doaj.art-cc6c4a6187fa498990248624adc51111 |
| institution | Directory Open Access Journal |
| issn | 1827-1987 1970-7096 |
| language | English |
| last_indexed | 2024-12-18T04:09:58Z |
| publishDate | 2019-05-01 |
| publisher | PAGEPress Publications |
| record_format | Article |
| series | Geospatial Health |
| spelling | doaj.art-cc6c4a6187fa498990248624adc511112022-12-21T21:21:29ZengPAGEPress PublicationsGeospatial Health1827-19871970-70962019-05-0114110.4081/gh.2019.673Predicting transmission of pulmonary tuberculosis in Daerah Istimewa Yogyakarta Province, IndonesiaAl Asyary0Aries Prasetyo1Tris Eryando2Yodi Mahendradhata3Department of Environmental Health, Faculty of Public Health, Universitas Indonesia, DepokStudy Program of Environmental Health, Health Polytechnic of Surabaya, Ministry of Health, MagetanDepartment of Biostatistics and Population Studies, Faculty of Public Health, University of Indonesia, DepokDepartment of Health Policy and Management, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, YogyakartaThis 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.https://geospatialhealth.net/index.php/gh/article/view/673Spatial analysisTuberculosisInfectious diseaseEpidemiologyDaerah Istimewa Yogyakarta ProvinceIndonesia |
| spellingShingle | Al Asyary Aries Prasetyo Tris Eryando Yodi Mahendradhata Predicting transmission of pulmonary tuberculosis in Daerah Istimewa Yogyakarta Province, Indonesia Geospatial Health Spatial analysis Tuberculosis Infectious disease Epidemiology Daerah Istimewa Yogyakarta Province Indonesia |
| title | Predicting transmission of pulmonary tuberculosis in Daerah Istimewa Yogyakarta Province, Indonesia |
| title_full | Predicting transmission of pulmonary tuberculosis in Daerah Istimewa Yogyakarta Province, Indonesia |
| title_fullStr | Predicting transmission of pulmonary tuberculosis in Daerah Istimewa Yogyakarta Province, Indonesia |
| title_full_unstemmed | Predicting transmission of pulmonary tuberculosis in Daerah Istimewa Yogyakarta Province, Indonesia |
| title_short | Predicting transmission of pulmonary tuberculosis in Daerah Istimewa Yogyakarta Province, Indonesia |
| title_sort | predicting transmission of pulmonary tuberculosis in daerah istimewa yogyakarta province indonesia |
| topic | Spatial analysis Tuberculosis Infectious disease Epidemiology Daerah Istimewa Yogyakarta Province Indonesia |
| url | https://geospatialhealth.net/index.php/gh/article/view/673 |
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