Prediction and control of cholera outbreak: Study case of Cameroon

IF 8.8 3区 医学 Q1 Medicine
C. Hameni Nkwayep , R. Glèlè Kakaï , S. Bowong
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引用次数: 0

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 R¯0 and R̲0 that bound the effective reproduction number R0, from below and above, that is R̲0R0R¯0. We prove that cholera tends to disappear when R¯01, while when R̲0>1, cholera persists uniformly within the population. After, assuming that the cholera transmission rates and the proportions of newly symptomatic are unknown, we develop the EnKf 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 Vibrio cholerae 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.

霍乱爆发的预测与控制:喀麦隆研究案例
本文利用喀麦隆的真实数据探讨霍乱爆发的预测和控制问题。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,该模型的新颖之处在于纳入了未发现的病例。我们介绍了该模型的基本特性,并计算了两个明确的临界参数 R¯0 和 R̲0,这两个参数从下往上约束了有效繁殖数 R0,即 R̲0≤R0≤R¯0。我们证明,当 R¯0≤1 时,霍乱趋于消失;而当 R̲0>1 时,霍乱在人群中均匀持续。在假设霍乱传播率和新发症状比例未知的情况下,我们利用喀麦隆 2014 年至 2022 年霍乱的真实数据,开发了 EnKf 方法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算了喀麦隆有效繁殖数的上下限以及重建的无症状和有症状霍乱活动病例,并给出了喀麦隆直至 2024 年的霍乱短期预测。数值模拟结果表明:(i) 环境中游离霍乱弧菌的传播率比人类传播率更重要,在 5 月后几周和 10 月开始高发;(ii) 90% 出现霍乱症状的新霍乱感染病例未被确诊;(iii) 60.36% 的无症状病例在 14% 时被发现,其中 86% 自然痊愈。未来趋势显示,疫情将在 2023 年 7 月至 11 月爆发,每月报告的病例数在 2023 年 10 月达到高峰。为了避免或预防霍乱爆发,模型中加入了冲动控制策略。在第一年的监测中,我们观察到喀麦隆的发病率下降了 75% 以上,在没有控制的情况下,发病高峰也消失了。对控制的第二次监测使第二年的发病率进一步降低了约 60%,这表明冲动控制可以成为根除霍乱的有效手段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Infectious Disease Modelling
Infectious Disease Modelling Mathematics-Applied Mathematics
CiteScore
17.00
自引率
3.40%
发文量
73
审稿时长
17 weeks
期刊介绍: Infectious Disease Modelling is an open access journal that undergoes peer-review. Its main objective is to facilitate research that combines mathematical modelling, retrieval and analysis of infection disease data, and public health decision support. The journal actively encourages original research that improves this interface, as well as review articles that highlight innovative methodologies relevant to data collection, informatics, and policy making in the field of public health.
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