Abiodun Gbenga J, Maharaj Rajendra, Witbooi Peter, Okosun Kazeem O
Department of Mathematics and Applied Mathematics, University of the Western Cape, Private Bag X17, Bellville, 7535, Republic of South Africa.
Office of Malaria Research, South African Medical Research Council, Durban, Republic of South Africa.
Malar J. 2016 Jul 15;15:364. doi: 10.1186/s12936-016-1411-6.
Malaria continues to be one of the most devastating diseases in the world, killing more humans than any other infectious disease. Malaria parasites are entirely dependent on Anopheles mosquitoes for transmission. For this reason, vector population dynamics is a crucial determinant of malaria risk. Consequently, it is important to understand the biology of malaria vector mosquitoes in the study of malaria transmission. Temperature and precipitation also play a significant role in both aquatic and adult stages of the Anopheles.
In this study, a climate-based, ordinary-differential-equation model is developed to analyse how temperature and the availability of water affect mosquito population size. In the model, the influence of ambient temperature on the development and the mortality rate of Anopheles arabiensis is considered over a region in KwaZulu-Natal Province, South Africa. In particular, the model is used to examine the impact of climatic factors on the gonotrophic cycle and the dynamics of mosquito population over the study region.
The results fairly accurately quantify the seasonality of the population of An. arabiensis over the region and also demonstrate the influence of climatic factors on the vector population dynamics. The model simulates the population dynamics of both immature and adult An. arabiensis. The simulated larval density produces a curve which is similar to observed data obtained from another study.
The model is efficiently developed to predict An. arabiensis population dynamics, and to assess the efficiency of various control strategies. In addition, the model framework is built to accommodate human population dynamics with the ability to predict malaria incidence in future.
疟疾仍然是世界上最具毁灭性的疾病之一,造成的死亡人数超过任何其他传染病。疟原虫完全依赖按蚊进行传播。因此,媒介种群动态是疟疾风险的关键决定因素。所以,在疟疾传播研究中了解疟疾媒介蚊子的生物学特性很重要。温度和降水在按蚊的水生和成虫阶段也起着重要作用。
在本研究中,开发了一个基于气候的常微分方程模型,以分析温度和水的可利用性如何影响蚊子种群数量。在该模型中,考虑了南非夸祖鲁 - 纳塔尔省一个地区的环境温度对阿拉伯按蚊发育和死亡率的影响。特别是,该模型用于研究气候因素对研究区域内按蚊生殖营养周期和蚊子种群动态的影响。
结果相当准确地量化了该地区阿拉伯按蚊种群的季节性,也证明了气候因素对媒介种群动态的影响。该模型模拟了未成熟和成熟阿拉伯按蚊的种群动态。模拟的幼虫密度产生的曲线与另一项研究获得的观测数据相似。
该模型有效地开发用于预测阿拉伯按蚊种群动态,并评估各种控制策略的效率。此外,该模型框架构建为能够适应人类种群动态,并具备预测未来疟疾发病率的能力。