[Show abstract][Hide abstract] ABSTRACT: Widespread use of pesticides in Thai agriculture has led to serious adverse health impacts on users. This study developed a GIS database using the QGIS tool to investigate insecticide usage and toxicity to farmers in Ubon Ratchathani Province in northeastern Thailand. Primary data collection involved recording exact locations of residential houses using geographic positioning system (GPS). Secondary data including transport routes, natural and environmental resources, and records of rainfall and ground temperatures were also collected. The data were integrated as GIS mapping data. Eighteen farmers participated in the study and submitted themselves to measurements of cholinesterase (ChE) levels and 2 blood sample collections for comparison with standard ChE levels. Results revealed the GIS database to be an effective tool to capture, store, manage, search, analyze, and represent spatial data and correlate them with insecticide usage. The GIS database revealed that ChE levels of volunteers for pre-post-exposure were within normal ranges. Liver enzymes (AST and ALT) were also within normal ranges. Further study should broaden collection of essential data including demographic information and basic knowledge and perceptions of self-protection regarding insecticides. Further evaluation and refining of the GIS database approach are recommended to improve its effectiveness as an analytical tool to enhance safe use of pesticides. Introduction Pesticides are important tools in modern agriculture to limit damage caused by insects, weeds and diseases; they are also used in public health to control communicable diseases. They differ from other toxic chemicals in that they are deliberately released into the environment and their application is not wholly confined
[Show abstract][Hide abstract] ABSTRACT: Leptospirosis, a zoonotic disease caused by Leptospira, has been a health problem in Thailand for several years. It can be transmitted to humans via rats' urine, which may contaminate the environment. The prevalence rate of Leptospira infection in rats may result in the spread of leptospirosis in humans.
[Show abstract][Hide abstract] ABSTRACT: Dengue infection (DI) is a major health problem in Thailand and is especially prevalent in Ubon Ratchathani Province. The objectives of the project were: (1) to develop a geo-database system for DI prevention and control, (2) to perform an Aedes aegypti larval vector survey for DI prevention and control in Ubon Ratchathani Province, (3) to study the behavior and perceptions regarding DI prevention among the target population in Ubon Ratchathani Province. Ten villages with high incidences of DI over a 3 year period from 2005 to 2007 were selected. The survey was divided into 2 periods, pre-outbreak period (February-April 2008) and outbreak period (June-August 2008). The data were collected in April and June 2008. The households in each village were purposively sampled. Water containers inside and outside of the houses were surveyed using the World Health Organization's house index (HI), container index (CI), and Breteau index (BI). The location of each household was recorded using the global positioning system (GPS). Data regarding people's perceptions and behaviors concerning DI prevention were collected during interviews of 383 families in Mach 2008. A database for DI was developed using ArcView version 9.2. The results showed during the pre-outbreak period, Non Jig, Non Sawang, and Huai Teeneu villages had the highest risk level (BI > or =50). During the outbreak period, Non Jig and Huai Teeneu village had the highest risk level (BI > or =50). Results regarding DI perceptions showed the target population had high levels of DI perceptions. DI preventive behavior was found in 50.9%.
The Southeast Asian journal of tropical medicine and public health 07/2010; 41(4):841-57. · 0.61 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: Saengnil W. and Wongbutdee J. Application of Geographic Information System for Dengue Hemorrhagic Fever Surveillance in Tangsai, Warinchamrab, Ubon Ratchathani Province in 2010 J Pub. Health Dev. 2012; 10(2): 50-61 The purposes of this research was to make use of the geographic information system (GIS) for Dengue Hemorrhagic Fever (DHF) Surveillance. The survey was divided into 3 periods: the pre seasonal outbreak (January-April 2010), the seasonal outbreak (May-August 2010) and the post seasonal outbreak (Septem-ber-December 2010). Larval vectors surveys of water containers both inside and outside residences were conducted by means of a Global Positioning System (GPS). DHF indices including the house index (HI), the container index (CI), and the breteau index (BI) were analyzed. The DHF risk areas identified via a GIS program showed the boundary of the breeding areas of Aedes aegypti within 30 or 60 meters from the household where larva were found. The results showed all three periods had a moderate risk level (BI 6-49). GPS is an alternative method for predicting mosquito breeding sites and can be used for decision-making, surveillance, and the epidemiological control of DHF.