Geographical Information System (Gis) Application In Tuberculosis Spatial Clustering Studies: A Systematic Review
- Author:
Norazman Mohd Rosli
;
Shamsul Azhar Shah
;
Mohd Ihsani Mahmood
- Publication Type:Journal Article
- Keywords:
Tuberculosis cluster;
geographical information system;
spatial analysis
- MeSH:
Tuberculosis cluster;
geographical information system;
spatial analysis
- From:Malaysian Journal of Public Health Medicine
2018;18(1):70-80
- CountryMalaysia
- Language:English
-
Abstract:
Tuberculosis (TB) is known as a disease that prone to spatial clustering. Recent development has seen a sharp rise in the number of epidemiologic studies employing Geographical Information System (GIS), particularly in identifying TB clusters and evidences of etiologic factors. The aim of this systematic review is to determine evidence of TB clustering, type of spatial analysis commonly used and the application of GIS in TB surveillance and control. A literature search of articles published in English language between 2000 and November 2015 was performed using MEDLINE and Science Direct using relevant search terms related to spatial analysis in studies of TB cluster. The search strategy was adapted and developed for each database using appropriate subject headings and keywords. The literature reviewed showed strong evidence of TB clustering occurred in high risk areas in both developed and developing countries. Spatial scan statistics were the most commonly used analysis and proved useful in TB surveillance through detection of outbreak, early warning and identifying area of increased TB transmission. Among others are targeted screening and assessment of TB program using GIS technology. However there were limitations on suitability of utilizing aggregated data such as national cencus that were pre-collected in explaining the present spatial distribution among population at risk. Spatial boundaries determined by zip code may be too large for metropolitan area or too small for country. Nevertheless, GIS is a powerful tool in aiding TB control and prevention in developing countries and should be used for real-time surveillance and decision making.
- Full text:22.2017my0339.pdf
