The online version of this article (doi:10.1186/1475-2875-11-117) contains supplementary material, which is available to authorized users.
The authors declare that they have no competing interests.
WBH and SLT initiated the study. YB, WBH and YMG designed the study and directed its implementation, including data analysis and interpreting. HXL, YJX, SMC, LFZ and YB performed field data collection. SLT supervised the study and YB drafted the manuscript. All authors contributed to the manuscript edit, review and revising, and approved the final version of the manuscript.
Malaria is a significant threat to population health in the border areas of Yunnan Province, China. How to accurately measure malaria transmission is an important issue. This study aimed to examine the role of slide positivity rates (SPR) in malaria transmission in Mengla County, Yunnan Province, China.
Data on annual malaria cases, SPR and socio-economic factors for the period of 1993 to 2008 were obtained from the Center for Disease Control and Prevention (CDC) and the Bureau of Statistics, Mengla, China. Multiple linear regression models were conducted to evaluate the relationship between socio-ecologic factors and malaria incidence.
The results show that SPR was significantly positively associated with the malaria incidence rates. The SPR (β = 1.244, p = 0.000) alone and combination (SPR, β = 1.326, p < 0.001) with other predictors can explain about 85% and 95% of variation in malaria transmission, respectively. Every 1% increase in SPR corresponded to an increase of 1.76/100,000 in malaria incidence rates.
SPR is a strong predictor of malaria transmission, and can be used to improve the planning and implementation of malaria elimination programmes in Mengla and other similar locations. SPR might also be a useful indicator of malaria early warning systems in China.
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