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At each time point, the mosquito model passes Ξ i (t) to the human model and the human model passes K vi (t) to the mosquito model.
Each individual in the human simulation model is treated as a different type of host by the mosquito model.
7 In subsequent work, we will investigate the transient behavior of the full malaria cycle by integrating the mosquito model with human intra-host simulation models.
Without doubt, it is the genetic makeup of the mosquito that significantly contributes to vector competence; therefore, studies with mosquito model systems are conjectural at best.
Given past infections, the human simulation model determines the human infectivity to mosquitoes at each time step to feed back to the mosquito model.
In addition to its significance as a public health concern, ease of laboratory breeding and maintenance makes it a good vector mosquito model system (Clemons et al. 2010; Kuno 2010).
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The container-inhabiting mosquito simulation model (CIMSiM) accomplishes this using a dynamic life-table model (Focks et al. 1993a, 1993b).
Labeling the number of humans in a simulation of the human model by n H, the number of malaria susceptible hosts in the mosquito models is then m= n H.
In the human-mosquito model, the total human or host population at time t or (N_{h}(t)), is partitioned into six classes: susceptible (S_{h}(t)), exposed (E_{h}(t)), symptomatically infected (I_{h1}(t)), convalescent (I_{h2}(t)), asymptomatically infected (A_{h}(t)), and recovered (R_{h}(t)).
The full set of equations for the coupled human-mosquito model are given in Supporting Information S2.
These rising temperatures will be responsible for increased number of mosquitoes (models suggest that 300 million more people will be affected by malaria by 2080), heatwaves causing heatstroke, and increased dengue fever cases, gastroenteritis and other climate sensitive infectious diseases [ 5].
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