Suppr超能文献

霍乱疫情的预测与控制:喀麦隆的研究案例

Prediction and control of cholera outbreak: Study case of Cameroon.

作者信息

Hameni Nkwayep C, Glèlè Kakaï R, Bowong S

机构信息

Laboratory of Mathematics, Department of Mathematics and Computer Science, University of Douala, PO Box 24157, Douala, Cameroon.

IRD, Sorbonne University, UMMISCO, F-93143, Bondy, France.

出版信息

Infect Dis Model. 2024 May 1;9(3):892-925. doi: 10.1016/j.idm.2024.04.009. eCollection 2024 Sep.

Abstract

This paper deals with the problem of the prediction and control of cholera outbreak using real data of Cameroon. We first develop and analyze a deterministic model with seasonality for the cholera, the novelty of which lies in the incorporation of undetected cases. We present the basic properties of the model and compute two explicit threshold parameters and that bound the effective reproduction number , from below and above, that is . We prove that cholera tends to disappear when , while when , cholera persists uniformly within the population. After, assuming that the cholera transmission rates and the proportions of newly symptomatic are unknown, we develop the approach to estimate unmeasurable state variables and these unknown parameters using real data of cholera from 2014 to 2022 in Cameroon. We use this result to estimate the upper and lower bound of the effective reproduction number and reconstructed active asymptomatic and symptomatic cholera cases in Cameroon, and give a short-term forecasts of cholera in Cameroon until 2024. Numerical simulations show that (i) the transmission rate from free in the environment is more important than the human transmission and begin to be high few week after May and in October, (ii) 90% of newly cholera infected cases that present the symptoms of cholera are not diagnosed and (iii) 60.36% of asymptomatic are detected at 14% and 86% of them recover naturally. The future trends reveals that an outbreak appeared from July to November 2023 with the number of cases reported monthly peaked in October 2023. An impulsive control strategy is incorporated in the model with the aim to avoid or prevent the cholera outbreak. In the first year of monitoring, we observed a reduction of more than 75% of incidences and the disappearance of the peaks when no control are available in Cameroon. A second monitoring of control led to a further reduction of around 60% of incidences the following year, showing how impulse control could be an effective means of eradicating cholera.

摘要

本文利用喀麦隆的实际数据探讨霍乱爆发的预测与控制问题。我们首先建立并分析了一个具有季节性的霍乱确定性模型,其新颖之处在于纳入了未被检测到的病例。我们阐述了该模型的基本性质,并计算了两个明确的阈值参数,它们从上下限界定了有效繁殖数,即 。我们证明,当 时霍乱趋于消失,而当 时,霍乱在人群中持续存在。之后,假设霍乱传播率和新出现症状的比例未知,我们采用 方法利用喀麦隆2014年至2022年的霍乱实际数据来估计不可测量的状态变量和这些未知参数。我们利用这一结果估计有效繁殖数的上下限,重建喀麦隆活跃的无症状和有症状霍乱病例,并对喀麦隆直至2024年的霍乱进行短期预测。数值模拟表明:(i)环境中自由 的传播率比人际传播更重要,且在五月后几周及十月开始升高;(ii)出现霍乱症状的新感染病例中90%未被诊断;(iii)60.36%的无症状感染者在14%的比例下被检测到,其中86%自然康复。未来趋势显示,2023年7月至11月出现了一次疫情爆发,每月报告的病例数在2023年10月达到峰值。在模型中纳入了脉冲控制策略,旨在避免或预防霍乱爆发。在监测的第一年,我们观察到喀麦隆在未采取控制措施时发病率降低了75%以上且峰值消失。第二年进行的第二次控制监测使发病率进一步降低了约60%,表明脉冲控制如何能够成为根除霍乱的有效手段。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2dae/11099323/fca19b2ca775/gr1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验