Understanding heterogeneities in mosquito-bite exposure and infection distributions for the elimination of lymphatic filariasis.
Understanding heterogeneities in mosquito-bite exposure and infection distributions for the elimination of lymphatic filariasis.
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DOI：
10.1098/rspb.2017.2253
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发表时间：
2018-01-31
期刊：
影响因子：
--
通讯作者：
Reimer LJ
中科院分区：
文献类型：
--
作者：
Irvine MA;Kazura JW;Hollingsworth TD;Reimer LJ
众所周知，同一社区中的个体可能暴露于高度可变的蚊子叮咬次数。叮咬暴露的这种异质性对控制病媒传播的疾病有影响，因为少数人可能对传播有重大贡献。然而，很少有研究测量的方式，这是相关的决策异质性的来源。我们调查的异质性，空间和个人的背景下，淋巴丝虫病，蚊子传播的寄生虫病的两个经典措施之间的关系。我们利用巴布亚新几内亚五个村庄的感染和蚊子叮咬数据，测量叮咬特征，以模拟蚊帐对控制疾病的影响。我们将联合收割机这种分析与地理空间建模相结合，以了解疾病指标和夜间蚊子叮咬之间的空间关系。我们发现，在村庄内的叮咬和感染异质性之间的弱关联。蚊帐的引入增加了叮咬的异质性，但减少平均叮咬超过补偿这一点，降低患病率接近消除阈值。夜间叮咬的空间异质性模型的解释，而寄生虫负荷更好地解释了个人异质性模型。空间和个体异质性在性质上是不同的，具有深刻不同的政策含义。
It is well known that individuals in the same community can be exposed to a highly variable number of mosquito bites. This heterogeneity in bite exposure has consequences for the control of vector-borne diseases because a few people may be contributing significantly to transmission. However, very few studies measure sources of heterogeneity in a way which is relevant to decision-making. We investigate the relationship between two classic measures of heterogeneity, spatial and individual, within the context of lymphatic filariasis, a parasitic mosquito-borne disease. Using infection and mosquito-bite data for five villages in Papua New Guinea, we measure biting characteristics to model what impact bed-nets have had on control of the disease. We combine this analysis with geospatial modelling to understand the spatial relationship between disease indicators and nightly mosquito bites. We found a weak association between biting and infection heterogeneity within villages. The introduction of bed-nets increased biting heterogeneity, but the reduction in mean biting more than compensated for this, by reducing prevalence closer to elimination thresholds. Nightly biting was explained by a spatial heterogeneity model, while parasite load was better explained by an individual heterogeneity model. Spatial and individual heterogeneity are qualitatively different with profoundly different policy implications.
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影响因子：
3.7
作者：
Acevedo MA;Prosper O;Lopiano K;Ruktanonchai N;Caughlin TT;Martcheva M;Osenberg CW;Smith DL
通讯作者：
Smith DL
影响因子：
15.8
作者：
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Cox, Jonathan
DOI：
10.1098/rspb.2004.3020
发表时间：
2005-06-07
影响因子：
4.7
作者：
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影响因子：
15.8
作者：
malERA Consultative Group on Basic Science and Enabling Technologies
通讯作者：
malERA Consultative Group on Basic Science and Enabling Technologies
DOI：
10.4269/ajtmh.1996.54.577
发表时间：
1996-06-01
影响因子：
3.3
作者：
Brockarie, M;Kazura, J;Alpers, M
通讯作者：
Alpers, M