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.
Subject(s)
Geographic Information Systems , Spatial AnalysisABSTRACT
The most effective and affordable public health strategy to prevent hypertension, stroke and renal disease is by reducing daily salt consumption. Therefore, this study aims to determine the association of knowledge, attitude and practice on salt diet intake and to identify foods contributing to high sodium intake. Secondary data analysis was performed on MySalt 2016 data. It was conducted from November 2015 until January 2016 which involving Ministry of Health Staff worked at 16 study sites in Malaysia. Salt intake was measured using 24 hours urinary sodium excretion. Food frequency questionnaire was used to determine the sodium sources. Knowledge, attitude and practice of salt intake were assessed using a validated questionnaire adapted from WHO. Demographic data and anthropometric measures also were collected. Sodium levels of more than 2400mg/day was categorised as high sodium intake. Data were analysed using SPSS software version 21. The mean sodium intake estimated by 24 hours urinary sodium excretion was 2853.23 + 1275.8 mg/day. Food groups namely rice/noodles (33.8%), sauces/seasoning (20.6%), meat and poultry (12.6%) and fish/seafoods (9.3%) were the major contributors of dietary sodium. In multiple logistic regression analysis, being a male (aOR=2.83, 95% CI 2.02 – 3.96) and obese (aOR=6.78, 95% CI 1.98 – 23.18) were significantly associated with high urinary sodium excretions. In addition, those who were unsure that high salt intake can cause hypertension (aOR=1.24, 95% CI 0.65 – 2.36), those who think that they consumed too much salt (aOR=2.10, 95% CI 1.13 – 3.87) and those who only use salt rather than other spices for cooking (aOR=2.07, 95% CI 1.29 – 3.30) were significantly associated with high urinary sodium excretion. This study showed that the main sources of sodium among Malay healthcare staff is cooked food. Poor knowledge and practice towards reducing salt consumption among them contributes to the high sodium consumption. The practice of healthy eating among them together with continuous awareness campaign is essential in order to educate them to minimize sodium consumption and to practice healthy eating.