Department of Ecology & Evolutionary Biology, University of Tennessee, Knoxville, TN, USA.
Department of Mathematics, University of Tennessee, Knoxville, TN, USA.
BMC Public Health. 2020 Feb 24;20(1):270. doi: 10.1186/s12889-019-7968-6.
Epidemiological models have been employed with great success to explore the efficacy of alternative strategies at combating disease outbreaks. These models have often incorporated an understanding of age-based susceptibility and severity of outcome, considering how to limit the adverse outcomes or disease burden relative to an age structure. Such models frequently recommend the preferential treatment/vaccination of children or the elderly, demonstrating how prevention of serious disease within these etiological subgroups can provide both protection within the subgroup itself and indirect protection to the broader population. However, it is most frequently the case that these target populations are consumers, rather than providers, of household resources. In areas of the globe where continued health of household members relies on continued provision of resources, these models may fail to provide the most effective overall strategies for health outcomes in both target populations and overall. This is particularly important for tropical diseases impacting rural and low-income areas in which the disease may be endemic or newly emergent, particularly in the wake of natural disasters.
We propose a modified epidemiological model with targeted treatment in resource-limited populations. We evaluate the model over a broad parameter space.
This model demonstrates how economic limitations may shift the optimal strategy. It may be advantageous to treat populations at lesser direct risk if they are responsible for providing secondary protection to higher-risk population(s) by producing household resources. Evaluation of this model over the parameter space reveals that, in some cases, targeting treatment towards consumers may result in greater numbers of consumer infections.
Our results demonstrate how household resource limitation can drastically affect the impact of targeted treatment strategies for limiting epidemics. Depending on the economic circumstances, it is possible that focusing treatment on consumers such as children can produce a counter-intuitive outcome in which more children contract the disease.
流行病学模型已成功应用于探索针对疾病爆发的替代策略的疗效。这些模型通常包含对年龄相关的易感性和结果严重程度的理解,考虑如何相对于年龄结构来限制不良后果或疾病负担。这些模型经常建议优先治疗/接种儿童或老年人,证明在这些病因亚组中预防严重疾病可以为亚组本身提供保护,并为更广泛的人群提供间接保护。然而,最常见的情况是这些目标人群是家庭资源的消费者,而不是提供者。在全球范围内,家庭成员的持续健康仍然依赖于资源的持续供应,这些模型可能无法为目标人群和整体提供最有效的总体健康结果策略。对于影响农村和低收入地区的热带疾病尤其如此,这些疾病可能是地方性的或新出现的,特别是在自然灾害之后。
我们提出了一种针对资源有限人群的靶向治疗的改良流行病学模型。我们在广泛的参数空间中评估模型。
该模型表明经济限制如何改变最优策略。如果他们通过生产家庭资源为高风险人群(s)提供二次保护,则对风险较小的人群进行治疗可能具有优势。在参数空间中对该模型的评估表明,在某些情况下,针对消费者的治疗可能会导致更多的消费者感染。
我们的研究结果表明,家庭资源限制如何极大地影响针对限制传染病的靶向治疗策略的影响。根据经济情况,将治疗重点放在儿童等消费者身上可能会产生一种反直觉的结果,即更多的儿童感染这种疾病。