A spatial individual-based model predicting a great impact of copious sugar sources and resting sites on survival of Anopheles gambiae and malaria parasite transmission.
A spatial individual-based model predicting a great impact of copious sugar sources and resting sites on survival of Anopheles gambiae and malaria parasite transmission.
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DOI：
10.1186/s12936-015-0555-0
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发表时间：
2015-02-05
期刊：
影响因子：
3
通讯作者：
Beier JC
中科院分区：
文献类型：
--
作者：
Zhu L;Qualls WA;Marshall JM;Arheart KL;DeAngelis DL;McManus JW;Traore SF;Doumbia S;Schlein Y;Müller GC;Beier JC
基于主体的建模(ABM)已被用于模拟蚊子的生活史和评估媒介控制的应用。然而，大多数模型缺乏食糖和休息行为，或者基于数学方程，缺乏个体水平的随机性和蚊子生活的空间成分。在这里，开发了一个基于个体的空间模型(IBM)，其中包含了疟疾媒介冈比亚按蚊的食糖和休息行为，以估计环境糖源和休息地点对生存和叮咬行为的影响。一个空间IBM，其中包含一个。开发了冈比亚蚊子和人类以及村庄环境的房屋、糖源、休息地和幼虫栖息地。冈比亚按蚊的行为规律被归因于IBM的每一步：休息、寻找寄主、喂糖和繁殖。每一步代表一秒钟的时间，每个模拟被设置为运行60天，重复50次。模拟和比较了不同密度和空间分布的糖源和室外休息点的情景。当天然糖源数量从0个增加到100个，而休息部位数量保持不变时，男性的平均日存活率从2.5%增加到85.1%，女性的平均日存活率从2.5%增加到94.5%，平均每人每天的叮咬次数从0增加到0.94，平均日丰度从1增加到477，女性从1增加到1428。在糖源数量不变的情况下，露天休息点从0个增加到50个，雄性的平均日存活率从77.3%提高到84.3%，雌性的平均日存活率从86.7%增加到93.9%，平均每人每天叮咬次数从0增加到0.52次，平均日丰度从62次增加到349次，雌性从257次增加到1120次。所有指标均有显著提高(P<；0.01)。当糖源随机分布在整个村庄时，与聚集在户外休息地点或房屋周围相比，存活率更高。糖源或室外休息地密度的增加显著增加了蚊子的存活率和被人咬的几率。冈比亚蚊子。一个人的生存。冈比亚更多地受到糖源随机分布的支持，而不是糖源在休息地或房屋周围聚集。天然糖源和户外栖息地的密度和空间分布调节了媒介种群和人类咬合率，从而影响了疟疾寄生虫的传播。
Agent-based modelling (ABM) has been used to simulate mosquito life cycles and to evaluate vector control applications. However, most models lack sugar-feeding and resting behaviours or are based on mathematical equations lacking individual level randomness and spatial components of mosquito life. Here, a spatial individual-based model (IBM) incorporating sugar-feeding and resting behaviours of the malaria vector Anopheles gambiae was developed to estimate the impact of environmental sugar sources and resting sites on survival and biting behaviour. A spatial IBM containing An. gambiae mosquitoes and humans, as well as the village environment of houses, sugar sources, resting sites and larval habitat sites was developed. Anopheles gambiae behaviour rules were attributed at each step of the IBM: resting, host seeking, sugar feeding and breeding. Each step represented one second of time, and each simulation was set to run for 60 days and repeated 50 times. Scenarios of different densities and spatial distributions of sugar sources and outdoor resting sites were simulated and compared. When the number of natural sugar sources was increased from 0 to 100 while the number of resting sites was held constant, mean daily survival rate increased from 2.5% to 85.1% for males and from 2.5% to 94.5% for females, mean human biting rate increased from 0 to 0.94 bites per human per day, and mean daily abundance increased from 1 to 477 for males and from 1 to 1,428 for females. When the number of outdoor resting sites was increased from 0 to 50 while the number of sugar sources was held constant, mean daily survival rate increased from 77.3% to 84.3% for males and from 86.7% to 93.9% for females, mean human biting rate increased from 0 to 0.52 bites per human per day, and mean daily abundance increased from 62 to 349 for males and from 257 to 1120 for females. All increases were significant (P < 0.01). Survival was greater when sugar sources were randomly distributed in the whole village compared to clustering around outdoor resting sites or houses. Increases in densities of sugar sources or outdoor resting sites significantly increase the survival and human biting rates of An. gambiae mosquitoes. Survival of An. gambiae is more supported by random distribution of sugar sources than clustering of sugar sources around resting sites or houses. Density and spatial distribution of natural sugar sources and outdoor resting sites modulate vector populations and human biting rates, and thus malaria parasite transmission.
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影响因子：
3
作者：
Kelly-Hope LA;McKenzie FE
通讯作者：
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