Publication:
Predictors of malaria-association with rubber plantations in Thailand

dc.contributor.authorPratana Satitvipaweeen_US
dc.contributor.authorWarunnee Wongkhangen_US
dc.contributor.authorSarika Pattanasinen_US
dc.contributor.authorPenprapai Hoithongen_US
dc.contributor.authorAdisak Bhumiratanaen_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherChaiyarat Subdistrict Health Promoting Hospitalen_US
dc.contributor.otherPrachuap Khiri Khan Provincial Health Officeen_US
dc.date.accessioned2018-06-11T04:58:27Z
dc.date.available2018-06-11T04:58:27Z
dc.date.issued2012-12-31en_US
dc.description.abstractBackground: 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. Methods. A structured questionnaire addressing socio-demographics, household characteristics and health behavioral factors (knowledge, perceptions and practices) regarding the performed interventions was administered to the 313 households (70 malaria-affected and 243 malaria-unaffected) that had respondents aged ≥18 years of both genders. In the univariate and multivariate analyses, only 246 (78.6%) MV respondents (62 malaria-affected and 184 malaria-unaffected) were analyzed to determine the predictors for risk (morbidity). Results: The majority (70%) of households were covered by IRS. For a combination of ITNs/LLINs, there were 74% of malaria-affected households covered and 46% of malaria-unaffected households. In a logistic regression analysis using odds ratios (aORs) adjusted on the variables and a 95% confidence interval (CI), malaria affecting MVs was associated with daily worker (i.e., earning daily income by normally practicing laborious activities mostly in agriculture such as rubber tapping and rubber sheet processing at the smallholdings of rubber plantations) (aOR = 2.9, 95% CI: 1.1-7.4), low-moderate level of malaria knowledge (aOR = 2.4, 95% CI: 1.1-5.0) and sleeping under mosquito-nets (nets/ITNs/LLINs intermittently and ITNs/LLINs only) (aOR = 2.0, 95% CI: 1.0-3.7). Conclusions: The MV predictors for malaria-association with rubber plantations included occupation (daily worker), misconceptions about malaria (mosquito and prevention) and the use of mosquito-nets. Human practices such as revisiting rubber plantations while exposed to multiple bites at multiple locations are more likely to apply to daily workers than to rubber farmers/tappers and others. The promotion and use of ITNs/LLINs depends substantially on cultural factors and defensive behaviors relevant to their occupational risk despite the perceived threats of malaria and the perceived benefits of ITNs/LLINs. This information supports the conclusion that GFM program implementation in Thailand or elsewhere for malaria-associated with rubber plantations would benefit from the potential use of ITNs/LLINs and changes in personal protection behaviors. © 2012 Satitvipawee et al.; licensee BioMed Central Ltd.en_US
dc.identifier.citationBMC Public Health. Vol.12, No.1 (2012)en_US
dc.identifier.doi10.1186/1471-2458-12-1115en_US
dc.identifier.issn14712458en_US
dc.identifier.other2-s2.0-84871532936en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/14408
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84871532936&origin=inwarden_US
dc.subjectMedicineen_US
dc.titlePredictors of malaria-association with rubber plantations in Thailanden_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84871532936&origin=inwarden_US

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