Jaruwan Wongbutdee

Ubon Ratchathani University, Muang Ubon, Changwat Ubon Ratchathani, Thailand

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Publications (10)0.72 Total impact

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    Full-text · Dataset · Dec 2015
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    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
    Full-text · Article · Jun 2014
  • Jutharat Jittimanee · Jaruwan Wongbutdee
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    ABSTRACT: Background: 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. Objective: The present study aimed to determine the prevalence rate of Leptospira infection in a total of 87 rats from areas where patients with leptospirosis had been reported compared to areas with no reports of leptospirosis in Sisaket Province. Material and method: DNA samples were isolated from rats' kidneys. The polymerase chain reaction (PCR) technique was used for the detection of 16s rRNA and LipL32 genes specific to genus and pathogenic Leptospira, respectively. Results: In areas where patients with leptospirosis had been reported, 8.7% (4/46) of rats were infected with pathogenic Leptospira; no infected rats were found in non-endemic areas. Conclusion: This indicated the prevalence rate of Leptospira infection in rats between endemic and non-endemic areas of human leptospirosis. The prevalence rate of Leptospira infection in rats may result in the spread of leptospirosis to humans. These results may be of benefit in the prevention and/or control of the spread of leptospirosis in humans due to Leptospira-infected rats.
    No preview · Article · Apr 2014 · Journal of the Medical Association of Thailand = Chotmaihet thangphaet
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    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%.
    Full-text · Article · Jul 2010 · The Southeast Asian journal of tropical medicine and public health
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    Anun Chaikoolvatana · Wongbutdee J · Saengnill W
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    ABSTRACT: Dengue Hemorrhagic Fever (DHF) is a major health problem in Thailand. The primary vector is the mosquito Aedes aegypti. Causes of the disease pandemic are including lack of a better understanding of local people in DHF surveillance and control, poor water supply and waste water management. The purposes of this research were to investigate existing larval vector households in the study area, and to apply geographic information systems (GIS) for dengue hemorrhagic fever risk area identification during three outbreak periods (pre seasonal, seasonal, and post seasonal). The dengue vector indices (HI, CI, BI) of visual larval were employed for existing larval households identification. The larvae were mostly found in usable water containers in all 3 periods. The dengue vector indices (HI, CI, and BI) were higher than normal value in seasonal outbreaks. The dengue hemorrhagic fever risk area identification using GIS program showed the boundary of breeding area of Aedes aegypti within 30 and 60 meters. The Aedes aegypti larva was distributed covering all area. The highest risk of DHF transmission was found in seasonal outbreaks and still remains high in post seasonal outbreaks. GIS is an alternative method to predict the breeding location of dengue mosquito and DHF and apply for decision supporting system, surveillance, and epidemiological control of DHF.
    Full-text · Article · Apr 2009 · International Journal of Geoinformatics
  • Jaruwan Wongbutdee · Wacharapong Saengnill · Natthawut Keawpitoon
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    ABSTRACT: Malaria is still a major health problem in Thailand. The morbidity rate has been reported each year and showed a high infection in the areas where located at Thailand-Myanmar, Malaysia, Lao PDR, and Cambodia borderlines. Ubon Ratchathani province is located at the northeast of Thailand where the area along the Thailand-Cambodia-Lao PDR borderlines. The morbidity rate of malaria in Ubon Ratchathani province has been still reported. This study aim to analyze the risk area of malaria by using the remote sensing. The classification of land used cover by The Normalized Difference Vegetation Index (NDVI). The data was overlaid and intersect the maps of value using the extension Spatial Analyst. The results showed that Ubon Ratchathani had the very high risk area where covered 4,014.86 square kilometers. The high, moderate, and low risk areas covered 6,034.42, 3,155.15, and 2,206.06 square kilometers, respectively. The remote sensing model is the good tool to predict the epidemic malaria and this tool could be a valuable to decision, solve a problem, surveillance, and control the malaria in the risk area.
    No preview · Article · Jan 2009
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    Jaruwan Wongbutdee · Watcharapong Seangnill · Natthawut Kaewpitoon
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    ABSTRACT: Malaria is still a major health problem in Thailand. The morbidity rate has been reported each year and showed a high infection in the areas where located at Thailand- Myanmar, Malaysia, Lao PDR, and Cambodia borderlines. Ubon Ratchathani province is located at the northeast of Thailand where the area along the Thailand-Cambodia-Lao PDR borderlines. The morbidity rate of malaria in Ubon Ratchathani province has been still reported. This study aim to analyze the risk area of malaria by using the remote sensing. The classification of land used cover by The Normalized Difference Vegetation Index (NDVI). The data was overlaid and intersect the maps of value using the extension Spatial Analyst. The results showed that Ubon Ratchathani had the very high risk area where covered 4,014.86 square kilometers. The high, moderate, and low risk areas covered 6,034.42, 3,155.15, and 2,206.06 square kilometers, respectively. The remote sensing model is the good tool to predict the epidemic malaria and this tool could be a valuable to decision, solve a problem, surveillance, and control the malaria in the risk area.
    Full-text · Article · Dec 2008
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    Jaruwan Wongbutdee
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    ABSTRACT: Berberine is a well-known plant alkaloid with a long history of medicinal use in Ayurvedic, Chinese, and South Asian traditional medicine. It can be found in the roots, rhizomes, and the bark of a number of plants. Plant extracts and decoctions involving berberine have demonstrated significant antimicrobial activity against a variety of organisms, intestinal parasite infections, and ocular trachoma infections. Positive action has been recorded against hypertension, tumors, inflammation, and HIV. It also has anti-protozoal, chloretic, cholagogue, cardiotonic, anti-cholinergic, anti-arrhythmic effects, and anti-platelet aggregation. This original review of berberine outlines its physiological effects.
    Preview · Article · Jan 2008
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    Wacharapong Saengnil · Jaruwan Wongbutdee
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    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.
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    Anun Chaikoolvatana · Jaruwan Wongbutdee · Pattha Boonlue
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    ABSTRACT: Objective: This study aimed to investigate the HIV-preventive behavior of a group of female prostitutes in the city of Ubon Ratchathani in Northeast Thailand. Methods: Basic knowledge and perceptions regarding HIV/AIDS were also assessed. The relationship between knowledge, perception, educational levels and HIV-preventive behavior were identified. A questionnaire was trialed before the survey proper, and content validation and reliability were established prior to the launch of the study (average α= 0.75). Results: Information was collected by the completion of a descriptive survey by 293 female prostitutes from 35 entertainment centres from February to April 2005. Data collected was subjected to statistical analysis. Results showed the participants had a good basic knowledge of HIV/AIDS and reasonable perceptions of the condition. Approximately one-third (37.5%) had sound behavior related to HIV infection, but an equivalent proportion (39%) needed to review their behavior. There was a statistically significant relationship between knowledge, perceptions, marital status and educational levels and HIV-preventive behavior (p<0.05). Conclusion: Conclusively, the prostitutes had an overall average HIV/AIDS knowledge, except some issues such as HIV/AIDS in pregnancy. Additionally, the HIV/AIDS perception was mainly good, whereas the HIV-preventive behavior was needed to be adjusted including a regular condom use.
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