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南非 2017/18 年李斯特菌病暴发的人群模型。

A population model for the 2017/18 listeriosis outbreak in South Africa.

机构信息

Department of Mathematics and Applied Mathematics, University of the Western Cape, Bellville, South Africa.

Department of Medical Biosciences, University of the Western Cape, Bellville, South Africa.

出版信息

PLoS One. 2020 Mar 12;15(3):e0229901. doi: 10.1371/journal.pone.0229901. eCollection 2020.

Abstract

We introduce a compartmental model of ordinary differential equations for the population dynamics of listeriosis, and we derive a model for analysing a listeriosis outbreak. The model explicitly accommodates neonatal infections. Similarly as is common in cholera modeling, we include a compartment to represent the reservoir of bacteria. We also include a compartment to represent the incubation phase. For the 2017/18 listeriosis outbreak that happened in South Africa, we calculate the time pattern and intensity of the force of infection, and we determine numerical values for some of the parameters in the model. The model is calibrated using South African data, together with existing data in the open literature not necessarily from South Africa. We make projections on the future outlook of the epidemiology of the disease and the possibility of eradication.

摘要

我们引入了一个用于李斯特菌病种群动态的常微分方程的房室模型,并推导出了一个用于分析李斯特菌病暴发的模型。该模型明确考虑了新生儿感染。与霍乱建模中常见的情况类似,我们包括一个代表细菌储存库的隔室。我们还包括一个代表潜伏期的隔室。对于 2017/18 年在南非发生的李斯特菌病暴发,我们计算了感染强度的时间模式和强度,并确定了模型中一些参数的数值。该模型使用南非数据以及开放文献中不一定来自南非的现有数据进行校准。我们对疾病的流行病学和根除的可能性进行了未来展望的预测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/381b/7067559/868d08b6d820/pone.0229901.g001.jpg

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