Spatial analysis of identifying the association between risk factors and tuberculosis cases: a review
This article address one of critical analysis which is needed in epidemiology. Tuberculosis transmission frequently manifests in a variety of spatial configurations. Nonetheless, the observed spatial clustering of tuberculosis may signify either ongoing transmission or the co-location of pertinent r...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Pendidikan Sultan Idris
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/119247/ http://psasir.upm.edu.my/id/eprint/119247/1/119247.pdf |
| _version_ | 1848867915191812096 |
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| author | Mohidem, Nur Adibah Osman, Malina Hashim, Zailina Muharam, Farrah Melissa Mohd Elias, Saliza Ma'pol, Aminuddin |
| author_facet | Mohidem, Nur Adibah Osman, Malina Hashim, Zailina Muharam, Farrah Melissa Mohd Elias, Saliza Ma'pol, Aminuddin |
| author_sort | Mohidem, Nur Adibah |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | This article address one of critical analysis which is needed in epidemiology. Tuberculosis transmission frequently manifests in a variety of spatial configurations. Nonetheless, the observed spatial clustering of tuberculosis may signify either ongoing transmission or the co-location of pertinent risk factors. This investigation seeks to critically assess the spatial analyses employed for the surveillance of trends regarding the associations between risk factors and tuberculosis cases through the application of spatial epidemiology principles. Prior investigations incorporating spatial analysis of tuberculosis cases, which encompass methodologies such as kriging, spatial autocorrelation, kernel density estimation, hotspot analysis, and regression analysis, are systematically reviewed. The selection of the analytical method was predicated upon the objectives of each respective study. In various contexts, an array of distinct spatial analysis techniques was implemented, with all studies revealing considerable heterogeneity in the spatial distribution of tuberculosis. Future inquiries remain imperative. An integrative approach combining genotypic, molecular, and geospatial methodologies for the examination of epidemiologically interconnected cases could enhance tuberculosis control efforts and yield substantial contributions to the existing body of knowledge. |
| first_indexed | 2025-11-15T14:44:05Z |
| format | Article |
| id | upm-119247 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:44:05Z |
| publishDate | 2024 |
| publisher | Universiti Pendidikan Sultan Idris |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1192472025-08-12T04:35:55Z http://psasir.upm.edu.my/id/eprint/119247/ Spatial analysis of identifying the association between risk factors and tuberculosis cases: a review Mohidem, Nur Adibah Osman, Malina Hashim, Zailina Muharam, Farrah Melissa Mohd Elias, Saliza Ma'pol, Aminuddin This article address one of critical analysis which is needed in epidemiology. Tuberculosis transmission frequently manifests in a variety of spatial configurations. Nonetheless, the observed spatial clustering of tuberculosis may signify either ongoing transmission or the co-location of pertinent risk factors. This investigation seeks to critically assess the spatial analyses employed for the surveillance of trends regarding the associations between risk factors and tuberculosis cases through the application of spatial epidemiology principles. Prior investigations incorporating spatial analysis of tuberculosis cases, which encompass methodologies such as kriging, spatial autocorrelation, kernel density estimation, hotspot analysis, and regression analysis, are systematically reviewed. The selection of the analytical method was predicated upon the objectives of each respective study. In various contexts, an array of distinct spatial analysis techniques was implemented, with all studies revealing considerable heterogeneity in the spatial distribution of tuberculosis. Future inquiries remain imperative. An integrative approach combining genotypic, molecular, and geospatial methodologies for the examination of epidemiologically interconnected cases could enhance tuberculosis control efforts and yield substantial contributions to the existing body of knowledge. Universiti Pendidikan Sultan Idris 2024 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/119247/1/119247.pdf Mohidem, Nur Adibah and Osman, Malina and Hashim, Zailina and Muharam, Farrah Melissa and Mohd Elias, Saliza and Ma'pol, Aminuddin (2024) Spatial analysis of identifying the association between risk factors and tuberculosis cases: a review. EDUCATUM Journal of Science, Mathematics and Technology, 12 (1). pp. 24-34. ISSN 2289-7070; eISSN: 2462-2451 https://ejournal.upsi.edu.my/index.php/EJSMT/article/view/9551 10.37134/ejsmt.vol12.1.4.2025 |
| spellingShingle | Mohidem, Nur Adibah Osman, Malina Hashim, Zailina Muharam, Farrah Melissa Mohd Elias, Saliza Ma'pol, Aminuddin Spatial analysis of identifying the association between risk factors and tuberculosis cases: a review |
| title | Spatial analysis of identifying the association between risk factors and tuberculosis cases: a review |
| title_full | Spatial analysis of identifying the association between risk factors and tuberculosis cases: a review |
| title_fullStr | Spatial analysis of identifying the association between risk factors and tuberculosis cases: a review |
| title_full_unstemmed | Spatial analysis of identifying the association between risk factors and tuberculosis cases: a review |
| title_short | Spatial analysis of identifying the association between risk factors and tuberculosis cases: a review |
| title_sort | spatial analysis of identifying the association between risk factors and tuberculosis cases: a review |
| url | http://psasir.upm.edu.my/id/eprint/119247/ http://psasir.upm.edu.my/id/eprint/119247/ http://psasir.upm.edu.my/id/eprint/119247/ http://psasir.upm.edu.my/id/eprint/119247/1/119247.pdf |