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.
Tuberculosis cluster ; geographical information system ; spatial analysis

Introduction: Cardiovascular disease (CVD) caused significant burden to Malaysia as it accounted for 36% of total deaths. This study aims to evaluate the burden of cardiovascular risk factors among Malaysian adult and assess the difference between urban and rural population in the selected communities. Methods: This study is part of the ongoing Prospective Urban Rural Epidemiology (PURE) database, whereby the baseline data were collected since June 2008. CVD risk was measured using INTERHEART risk score which comprised of eleven risk factors i.e. age and gender, family history of heart attack, smoking status, exposure to second hand smoke, diabetes mellitus, hypertension status, waist-hip ratio, self-reported stress, depression, dietary habits and physical activity status. Results: Majority of the studied participants had low cardiovascular risk (57%). Participants from rural area were generally older, had lower educational status, higher prevalence of smokers, obesity, hypertension, diabetes, and more likely to be depressed. In comparison, urbanites had lower physical activities and more likely to be stressful. Mean INTERHEART score among rural participants were higher, especially for male, in comparison to urbanite (11.5±5.83 vs. 10.01±5.74, p<0.001). Conclusion: Contradict to common beliefs, participants in rural areas generally have higher cardiovascular risk factors compared to their urban counterparts. The rural population should be targeted for focused preventive interventions, taking account the socioeconomic and cultural context.