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喀麦隆COVID-19疫情的建模与预测以及社交距离措施的潜在影响

Modelling and projections of the COVID-19 epidemic and the potential impact of social distancing in Cameroon.

作者信息

Whegang Youdom Solange, Tonnang Henri E Z, Choukem Simeon Pierre

机构信息

Department of Public Health, Faculty of Medicine and pharmaceutical sciences, University of Dschang, Dschang, Cameroon.

The University of Dschang Task force for the Elimination of COVID-19 (UNITED#COVID-19), Dschang, Cameroon.

出版信息

J Public Health Afr. 2022 Jan 24;12(2):1479. doi: 10.4081/jphia.2021.1479. eCollection 2021 Dec 31.

Abstract

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) disease (COVID-19) pandemic continues to be a global health problem with a significant impact in Cameroon. The aim of this study was to improve the understanding of the spread of COVID-19 and enhance disease control strategies. We assessed the SIRD (susceptible, infected, recovered and death) model to describe COVID-19 reported cases in Cameroon from March 7 to May 31, 2020, and study the impact of social distancing. We assessed changes in the basic reproduction number (R) on a phaseadjusted process and forecasted the longterm epidemic trend. Daily incidence data was fitted to a log-linear model before each peak of the epidemic with the purpose of studying the effective mechanism of variation of the reproduction number R. Before the first peak of the epidemic, R was estimated as 6.8. Social distancing and restricted measures contributed to reduce the value to 3.24 by April 30 but remained greater than 1 (R=2.43) by May 22 when the initial measures implemented by the government to control the spread of the disease were relaxed. The estimated number of infections ranged 13,703-18,456 by May 31, and will continue increasing throughout June 2020 with more than 20,000 cases expected by the end of June 2020, suggesting that the pandemic is still in the growth phase. Longterm prediction showed a flattened curve towards April 2021. Preventive measures initially implemented by the government of Cameroon should be strictly maintained and reinforced to reduce R to 0.5.

摘要

严重急性呼吸综合征冠状病毒2(SARS-CoV-2)疾病(COVID-19)大流行仍然是一个全球健康问题,在喀麦隆产生了重大影响。本研究的目的是增进对COVID-19传播的了解并加强疾病控制策略。我们评估了易感-感染-康复-死亡(SIRD)模型,以描述喀麦隆2020年3月7日至5月31日报告的COVID-19病例,并研究社交距离的影响。我们在一个相位调整过程中评估基本繁殖数(R)的变化,并预测长期流行趋势。每日发病率数据在疫情每个高峰之前拟合到对数线性模型,目的是研究繁殖数R变化的有效机制。在疫情第一个高峰之前,R估计为6.8。社交距离和限制措施有助于将该值在4月30日降至3.24,但在5月22日政府为控制疾病传播而实施的初始措施放松时,该值仍大于1(R=2.43)。到5月31日,估计感染人数在13703-18456之间,并且在2020年6月将继续增加,预计到2020年6月底将超过20000例,这表明大流行仍处于增长阶段。长期预测显示,到2021年4月曲线趋于平缓。喀麦隆政府最初实施的预防措施应严格维持并加强,以将R降至0.5。

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