在喀麦隆采用缓解控制策略对COVID-19传播进行数学建模、分析和数值模拟。

Chaos, solitons, and fractals Pub Date : 2020-10-01 Epub Date: 2020-09-18 DOI:10.1016/j.chaos.2020.110281
Seraphin Djaoue, Gabriel Guilsou Kolaye, Hamadjam Abboubakar, Ado Adamou Abba Ari, Irepran Damakoa
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引用次数: 24

摘要

本文根据新冠肺炎的生物学特征,建立了新冠肺炎模型传播的一般模型,并提出了基于隔离接触者、隔离(禁闭)人群、检测生活危险区、佩戴口罩和遵守卫生规则的控制策略。我们对该模型进行了理论研究。我们推导出了基本繁殖数r0,它决定了感染的灭绝和持续。结果表明,模型在r0 = 1处出现后向分岔。已对模型进行敏感性分析,以确定相关参数对爆发严重程度的影响。无症状感染人群可能在传播传播中起主要作用。此外,利用所提出的模型研究了各种缓解策略。对控制策略进行了数值评估。我们发现隔离对COVID-19的传播有真正的影响。当努力通过追踪隔离80%的接触者时,疾病会在大约100天内消失。虽然部分隔离不能根除疾病,但可以观察到,在部分隔离期间,当至少10%的部分隔离人口完全隔离时,COVID-19的传播在150天后停止。大规模检测的策略也对该疾病产生了实际影响。在该模型中,我们发现,当95%以上的中度和有症状感染者被识别和隔离时,90天后疾病也得到了真正的控制。佩戴口罩、遵守卫生规则是控制新冠肺炎疫情的基本条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Mathematical modeling, analysis and numerical simulation of the <i>COVID-19</i> transmission with mitigation of control strategies used in Cameroon.

Mathematical modeling, analysis and numerical simulation of the <i>COVID-19</i> transmission with mitigation of control strategies used in Cameroon.

Mathematical modeling, analysis and numerical simulation of the <i>COVID-19</i> transmission with mitigation of control strategies used in Cameroon.

Mathematical modeling, analysis and numerical simulation of the COVID-19 transmission with mitigation of control strategies used in Cameroon.

In this paper, we formulated a general model of COVID-19model transmission using biological features of the disease and control strategies based on the isolation of exposed people, confinement (lock-downs) of the human population, testing people living risks area, wearing of masks and respect of hygienic rules. We provide a theoretical study of the model. We derive the basic reproduction number R 0 which determines the extinction and the persistence of the infection. It is shown that the model exhibits a backward bifurcation at R 0 = 1 . The sensitivity analysis of the model has been performed to determine the impact of related parameters on outbreak severity. It is observed that the asymptomatic infectious group of individuals may play a major role in the spreading of transmission. Moreover, various mitigation strategies are investigated using the proposed model. A numerical evaluation of control strategies has been performed. We found that isolation has a real impact on COVID-19 transmission. When efforts are made through the tracing to isolate 80% of exposed people the disease disappears about 100 days. Although partial confinement does not eradicate the disease it is observed that, during partial confinement, when at least 10% of the partially confined population is totally confined, COVID-19 spread stops after 150 days. The strategy of massif testing has also a real impact on the disease. In that model, we found that when more than 95% of moderate and symptomatic infected people are identified and isolated, the disease is also really controlled after 90 days. The wearing of masks and respecting hygiene rules are fundamental conditions to control the COVID-19.

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