Odum School of Ecology and Center for the Ecology of Infectious Diseases, University of Georgia , Athens, GA, USA.
MIVEGEC, Ecole Pierre Louis de Santé Publique, Université de Montpellier, CNRS, IRD , Montpellier, France.
Glob Health Action. 2020 Dec 31;13(1):1816044. doi: 10.1080/16549716.2020.1816044.
COVID-19 has wreaked havoc globally with particular concerns for sub-Saharan Africa (SSA), where models suggest that the majority of the population will become infected. Conventional wisdom suggests that the continent will bear a higher burden of COVID-19 for the same reasons it suffers from other infectious diseases: ecology, socio-economic conditions, lack of water and sanitation infrastructure, and weak health systems. However, so far SSA has reported lower incidence and fatalities compared to the predictions of standard models and the experience of other regions of the world. There are three leading explanations, each with different implications for the final epidemic burden: (1) low case detection, (2) differences in epidemiology (e.g. low ), and (3) policy interventions. The low number of cases have led some SSA governments to relaxing these policy interventions. Will this result in a resurgence of cases? To understand how to interpret the lower-than-expected COVID-19 case data in Madagascar, we use a simple age-structured model to explore each of these explanations and predict the epidemic impact associated with them. We show that the incidence of COVID-19 cases as of July 2020 can be explained by any combination of the late introduction of first imported cases, early implementation of non-pharmaceutical interventions (NPIs), and low case detection rates. We then re-evaluate these findings in the context of the COVID-19 epidemic in Madagascar through August 2020. This analysis reinforces that Madagascar, along with other countries in SSA, remains at risk of a growing health crisis. If NPIs remain enforced, up to 50,000 lives may be saved. Even with NPIs, without vaccines and new therapies, COVID-19 could infect up to 30% of the population, making it the largest public health threat in Madagascar for the coming year, hence the importance of clinical trials and continually improving access to healthcare.
COVID-19 在全球范围内造成了严重破坏,撒哈拉以南非洲(SSA)尤其令人担忧,因为模型表明,该地区大多数人口将被感染。传统观点认为,由于生态、社会经济条件、缺乏水和卫生基础设施以及薄弱的卫生系统等原因,该大陆将承受更大的 COVID-19 负担。然而,到目前为止,与标准模型的预测和世界其他地区的经验相比,SSA 的发病率和死亡率较低。有三个主要解释,每个解释都对最终的流行负担有不同的影响:(1)低病例检出率,(2)流行病学差异(例如低),(3)政策干预。病例数量较少导致一些 SSA 政府放松了这些政策干预。这会导致病例再次出现吗?为了了解如何解释马达加斯加低于预期的 COVID-19 病例数据,我们使用一个简单的年龄结构模型来探讨这三种解释,并预测与它们相关的疫情影响。我们表明,截至 2020 年 7 月的 COVID-19 病例发病率可以用首次输入病例的引入时间较晚、非药物干预(NPI)的早期实施以及低病例检出率的任意组合来解释。然后,我们根据 2020 年 8 月前 COVID-19 在马达加斯加的流行情况重新评估这些发现。该分析进一步证实,马达加斯加与 SSA 其他国家一样,仍面临日益严重的健康危机风险。如果继续实施 NPI,可能会挽救多达 5 万人的生命。即使有 NPI,没有疫苗和新疗法,COVID-19 也可能感染多达 30%的人口,使其成为马达加斯加来年最大的公共卫生威胁,因此临床试验和不断改善获得医疗保健的机会非常重要。