Dias J C A, Monteiro L H A
Universidade Presbiteriana Mackenzie, PPGEEC, São Paulo, SP, Brazil.
Universidade de São Paulo, Escola Politécnica, São Paulo, SP, Brazil.
Comput Math Methods Med. 2018 Jul 9;2018:2575017. doi: 10.1155/2018/2575017. eCollection 2018.
Here, the propagation of vector-borne diseases is modeled by using a probabilistic cellular automaton. Numerical simulations considering distinct spatial distributions and time variations of the vector abundance are performed, in order to investigate their impacts on the number of infected individuals of the host population. The main conclusion is as follows: in the clustered distributions, the prevalence is lower, but the eradication is more difficult to be achieved, as compared to homogeneous distributions. This result can be relevant in the implementation of preventive surveillance measures.
在此，通过使用概率细胞自动机对媒介传播疾病的传播进行建模。进行了考虑媒介丰度不同空间分布和时间变化的数值模拟，以研究它们对宿主种群中受感染个体数量的影响。主要结论如下：与均匀分布相比，在聚集分布中，患病率较低，但根除更难实现。这一结果在预防性监测措施的实施中可能具有相关性。
