ArticlePloS one2015
Spatial-temporal variation and primary ecological drivers of Anopheles sinensis human biting rates in malaria epidemic-prone regions of China.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed.
- Seasonal prediction of the distribution of three major malaria vectors in China: Based on an ecological niche model.PLoS neglected tropical diseases · 2024Article
- Complete mitochondrial genome of a malaria vector mosquitoMitochondrial DNA. Part B, Resources · 2022Article
- Criteria for selecting sentinel unit locations in a surveillance system for vector-borne disease: A decision tool.Frontiers in public health · 2022Review
- Effect of temperature and its interactions with relative humidity and rainfall on malaria in a temperate city Suzhou, China.Environmental science and pollution research international · 2021Article
- Emergence of Zika Virus in Culex tritaeniorhynchus and Anopheles sinensis Mosquitoes in China.Virologica Sinica · 2021Article
- Malaria risk factors in northern Namibia: The importance of occupation, age and mobility in characterizing high-risk populations.PloS one · 2021Article
- Spatially Filtered Multilevel Analysis on Spatial Determinants for Malaria Occurrence in Korea.International journal of environmental research and public health · 2019Article
- Changing epidemiology and challenges of malaria in China towards elimination.Malaria journal · 2019Article
- Sequencing and analysis of the complete mitochondrial genome in Anopheles sinensis (Diptera: Culicidae).Infectious diseases of poverty · 2017Article
- Malaria risk in young male travellers but local transmission persists: a case-control study in low transmission Namibia.Malaria journal · 2017Article
- Genetic diversity and population structure of the primary malaria vector Anopheles sinensis (Diptera: Culicidae) in China inferred by cox1 gene.Parasites & vectors · 2017Article
- Predicting malaria vector distribution under climate change scenarios in China: Challenges for malaria elimination.Scientific reports · 2016Article
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10 authors.
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Abstract
backgroundRobust malaria vector surveillance is essential for optimally selecting and targeting vector control measures. Sixty-two vector surveillance sites were established between 2005 and 2008 by the national malaria surveillance program in China to measure Anopheles sinensis human biting rates. Using these data to determine the primary ecological drivers of malaria vector human biting rates in malaria epidemic-prone regions of China will allow better targeting of vector control resources in space and time as the country aims to eliminate malaria.
methodsWe analyzed data from 62 malaria surveillance sentinel sites from 2005 to 2008. Linear mixed effects models were used to identify the primary ecological drivers for Anopheles sinensis human biting rates as well as to explore the spatial-temporal variation of relevant factors at surveillance sites throughout China.
resultsMinimum semimonthly temperature (β = 2.99; 95% confidence interval (CI) 2.07- 3.92), enhanced vegetation index (β =1.07; 95% CI 0.11-2.03), and paddy index (the percentage of rice paddy field in the total cultivated land area of each site) (β = 0.86; 95% CI 0.17-1.56) were associated with greater An. Sinensis human biting rates, while increasing distance to the nearest river was associated with lower An. Sinensis human biting rates (β = -1.47; 95% CI -2.88, -0.06). The temporal variation (σ(s0)(2) = 0.83) in biting rates was much larger than the spatial variation (σ(t)(2) = 1.35), with 19.3% of temporal variation attributable to differences in minimum temperature and enhanced vegetation index and 16.9% of spatial variance due to distance to the nearest river and the paddy index. DISCUSSION: Substantial spatial-temporal variation in An. Sinensis human biting rates exists in malaria epidemic-prone regions of China, with minimum temperature and enhanced vegetation index accounting for the greatest proportion of temporal variation and distance to nearest river and paddy index accounting for the greatest proportion of spatial variation amongst observed ecological drivers.
conclusionsTargeted vector control measures based on these findings can support the ongoing malaria elimination efforts in China more effectively.
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