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Risk Factors for Border Malaria in a Malaria Elimination Setting: a Retrospective Case-control Study in Yunnan, China

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Specialty Tropical Medicine
Date 2015 Jan 21
PMID 25601994
Citations 26
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Abstract

A retrospective case-control study was conducted to identify risk factors for border malaria in a malaria elimination setting of Yunnan Province, China. The study comprised 214 cases and 428 controls. The controls were individually matched to the cases on the basis of residence, age, and gender. In addition, statistical associations are based on matched analyses. The frequencies of imported, male, adult, and vivax malaria cases were respectively 201 (93.9%), 194 (90.7%), 210 (98.1%), and 176 (82.2%). Overnight stay in Myanmar within the prior month was independently associated with malaria infection (odds ratio [OR] 159.5, 95% confidence interval [CI] 75.1-338.9). In particular, stays in lowland and foothill (OR 5.5, 95% CI 2.5-11.8) or mid-hill (OR 42.8, 95% CI 5.1-319.8) areas, or near streamlets (OR 15.3, 95% CI 4.3-55.2) or paddy field or pools (OR10.1, 95% CI 4.4-55.8) were found to be independently associated with malaria. Neither forest exposure nor use of vector control measures was associated with malaria. In conclusion, travel to lowland and foothill or mid-hill hyperendemic areas, especially along the waterside in Myanmar, was found to be the highest risk factor for malaria. In considering the limitations of the study, further investigations are needed to identify the major determinants of malaria risk and develop new strategies for malaria elimination on China-Myanmar border.

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References
1.
Xu J, Liu H . Border malaria in Yunnan, China. Southeast Asian J Trop Med Public Health. 1998; 28(3):456-9. View

2.
Bermejo A, Veeken H . Insecticide-impregnated bed nets for malaria control: a review of the field trials. Bull World Health Organ. 1992; 70(3):293-6. PMC: 2393280. View

3.
Erhart A, Ngo D, Phan V, Ta T, Van Overmeir C, Speybroeck N . Epidemiology of forest malaria in central Vietnam: a large scale cross-sectional survey. Malar J. 2005; 4:58. PMC: 1325238. DOI: 10.1186/1475-2875-4-58. View

4.
Guerra C, Snow R, Hay S . A global assessment of closed forests, deforestation and malaria risk. Ann Trop Med Parasitol. 2006; 100(3):189-204. PMC: 3204444. DOI: 10.1179/136485906X91512. View

5.
Vyas S, Kumaranayake L . Constructing socio-economic status indices: how to use principal components analysis. Health Policy Plan. 2006; 21(6):459-68. DOI: 10.1093/heapol/czl029. View