Assob-Nguedia Jules-Clement, Dongo David, Nguimkeu Pierre Evariste
Faculty of Medicine and Pharmaceutical Sciences, University of Douala, Cameroon.
Department of Mathematics & Computer Sciences, Faculty of Science, University of Dschang, Cameroon.
Infect Dis Model. 2020;5:839-847. doi: 10.1016/j.idm.2020.10.006. Epub 2020 Oct 17.
The initial cases of novel coronavirus (COVID-19) were identified in most West African countries between late February and early March of 2020. But it is only after March 15, 2020 that the number of cases started rising significantly in these countries. This study analyzes the transmission dynamics of the outbreak in West Africa nearly 5 months after the effective onset. We focus on Cameroon, Ghana, Guinea and Nigeria, which are the four West African countries with the highest numbers of infected cases. We combine models of mathematical epidemiology and publicly available data to estimate the main disease transmission characteristics. In particular, we estimate the initial doubling time, the peak time, the peak rate, the final size and the short-term transmission forecasts of the COVID-19 epidemic for these countries. Policy implications for the effectiveness of control measures and for assessing the potential impact on public health in West Africa are discussed.
2020年2月下旬至3月初,大多数西非国家发现了首批新型冠状病毒(COVID-19)病例。但直到2020年3月15日之后,这些国家的病例数才开始显著上升。本研究分析了疫情有效爆发近5个月后在西非的传播动态。我们重点关注喀麦隆、加纳、几内亚和尼日利亚这四个西非感染病例数最多的国家。我们结合数学流行病学模型和公开可用数据来估计主要疾病传播特征。特别是,我们估计了这些国家COVID-19疫情的初始倍增时间、峰值时间、峰值速率、最终规模和短期传播预测。还讨论了控制措施有效性的政策影响以及对西非公共卫生潜在影响的评估。