Fitzgibbon W E, Morgan J J, Webb G F
Department of Mathematics, University of Houston, Houston, 77204, TX, USA.
Department of Mathematics, Vanderbilt University, Nashville, 37240, TN, USA.
Theor Biol Med Model. 2017 Mar 27;14(1):7. doi: 10.1186/s12976-017-0051-z.
A deterministic model is developed for the spatial spread of an epidemic disease in a geographical setting. The disease is borne by vectors to susceptible hosts through criss-cross dynamics. The model is focused on an outbreak that arises from a small number of infected hosts imported into a subregion of the geographical setting. The goal is to understand how spatial heterogeneity of the vector and host populations influences the dynamics of the outbreak, in both the geographical spread and the final size of the epidemic.
Partial differential equations are formulated to describe the spatial interaction of the hosts and vectors. The partial differential equations have reaction-diffusion terms to describe the criss-cross interactions of hosts and vectors. The partial differential equations of the model are analyzed and proven to be well-posed. A local basic reproduction number for the epidemic is analyzed.
The epidemic outcomes of the model are correlated to the spatially dependent parameters and initial conditions of the model. The partial differential equations of the model are adapted to seasonality of the vector population, and applied to the 2015-2016 Zika seasonal outbreak in Rio de Janeiro Municipality in Brazil.
The results for the model simulations of the 2015-2016 Zika seasonal outbreak in Rio de Janeiro Municipality indicate that the spatial distribution and final size of the epidemic at the end of the season are strongly dependent on the location and magnitude of local outbreaks at the beginning of the season. The application of the model to the Rio de Janeiro Municipality Zika 2015-2016 outbreak is limited by incompleteness of the epidemic data and by uncertainties in the parametric assumptions of the model.
针对一种流行病在地理环境中的空间传播建立了一个确定性模型。该疾病通过交叉动态由病媒传播给易感宿主。该模型聚焦于由少量输入到该地理环境一个子区域的受感染宿主引发的疫情爆发。目标是了解病媒和宿主种群的空间异质性如何在地理传播和疫情最终规模方面影响疫情爆发的动态。
建立偏微分方程来描述宿主和病媒的空间相互作用。偏微分方程具有反应扩散项以描述宿主和病媒的交叉相互作用。对该模型的偏微分方程进行了分析并证明是适定的。分析了该流行病的局部基本再生数。
该模型的疫情结果与模型的空间相关参数和初始条件相关。该模型的偏微分方程考虑了病媒种群的季节性,并应用于巴西里约热内卢市2015 - 2016年寨卡季节性疫情爆发。
对里约热内卢市2015 - 2016年寨卡季节性疫情爆发的模型模拟结果表明,季节末疫情的空间分布和最终规模强烈依赖于季节初局部疫情爆发的地点和规模。该模型在应用于里约热内卢市2015 - 2016年寨卡疫情爆发时受到疫情数据不完整以及模型参数假设不确定性的限制。