Title |
Predictors of malaria-association with rubber plantations in Thailand
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Published in |
BMC Public Health, December 2012
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DOI | 10.1186/1471-2458-12-1115 |
Pubmed ID | |
Authors |
Pratana Satitvipawee, Warunnee Wongkhang, Sarika Pattanasin, Penprapai Hoithong, Adisak Bhumiratana |
Abstract |
The national Global Fund-supported malaria (GFM) program in Thailand, which focuses on the household-level implementation of vector control via insecticide-treated nets (ITNs)/long-lasting insecticidal nets (LLINs) combined with indoor residual spraying (IRS), has been combating malaria risk situations in different provinces with complex epidemiological settings. By using the perception of malaria villagers (MVs), defined as villagers who recognized malaria burden and had local understanding of mosquitoes, malaria, and ITNs/LLINs and practiced preventive measures, this study investigated the predictors for malaria that are associated with rubber plantations in an area of high household-level implementation coverage of IRS (2007-2010) and ITNs/LLINs (2008-2010) in Prachuap Khiri Khan Province. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Thailand | 1 | 50% |
United States | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | <1% |
Kenya | 1 | <1% |
Unknown | 105 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 23 | 21% |
Researcher | 16 | 15% |
Lecturer | 8 | 7% |
Student > Ph. D. Student | 8 | 7% |
Student > Bachelor | 7 | 7% |
Other | 18 | 17% |
Unknown | 27 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 25 | 23% |
Social Sciences | 12 | 11% |
Agricultural and Biological Sciences | 11 | 10% |
Nursing and Health Professions | 11 | 10% |
Biochemistry, Genetics and Molecular Biology | 4 | 4% |
Other | 16 | 15% |
Unknown | 28 | 26% |