Maffioli Elisa M, Lu Yutong
Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Vaccines (Basel). 2025 May 14;13(5):519. doi: 10.3390/vaccines13050519.
In this study, we examine the allocation of oral cholera vaccines (OCVs) across 25 African countries between 2013 and 2019.
We constructed a dataset combining cholera outbreaks and requests, decisions, and deliveries of OCVs from the Global Task Force on Cholera Control, alongside additional covariates. Using machine learning algorithms, we assess the relative importance of socio-demographic, governance, and weather variables in predicting cholera outbreaks. We constructed and used an "index of cholera risk" as an instrumental variable to predict the likelihood of suspected cases and estimate the impact of cholera outbreaks on OCV allocation.
The majority of OCVs (77.4%) were allocated reactively. Governments took an average of 299.6 days to request doses, international agencies took 10.4 days to decide, and it took 84 days for vaccines to be delivered. Countries experiencing a cholera outbreak were 31.7 and 36.5 percentage points more likely to request and receive a vaccine delivery in the same month as the outbreak, respectively. We confirmed that the probability of obtaining vaccines through a reactive mechanism was 48.4 percentage points higher compared to preventive allocation. When exploring the heterogeneity of impacts, OCVs were more likely to be requested, allocated, and delivered in countries with strong institutions and those not facing crisis situations. OCVs were also more likely to be allocated in the central parts of the continent.
While OCV allocation is responsive to cholera outbreaks, addressing delays, particularly in high-risk countries, could improve their distribution and mitigate the impact of cholera outbreaks. This study highlights the need for targeted strategies to ensure vaccine access in fragile and conflict-affected settings, where institutional capacity is weaker.
在本研究中,我们考察了2013年至2019年间25个非洲国家口服霍乱疫苗(OCV)的分配情况。
我们构建了一个数据集,将霍乱疫情与来自全球霍乱控制特别工作组的OCV请求、决策和交付情况相结合,并纳入了其他协变量。使用机器学习算法,我们评估了社会人口统计学、治理和天气变量在预测霍乱疫情方面的相对重要性。我们构建并使用了一个“霍乱风险指数”作为工具变量,以预测疑似病例的可能性,并估计霍乱疫情对OCV分配的影响。
大多数OCV(77.4%)是被动分配的。政府平均需要299.6天来请求疫苗剂量,国际机构需要10.4天来做出决策,疫苗交付则需要84天。经历霍乱疫情的国家在疫情当月请求和接收疫苗交付的可能性分别高出31.7和36.5个百分点。我们证实,通过被动机制获得疫苗的概率比预防性分配高出48.4个百分点。在探究影响的异质性时,OCV在机构强大且未面临危机情况的国家更有可能被请求、分配和交付。OCV也更有可能在非洲大陆中部地区被分配。
虽然OCV的分配对霍乱疫情有响应,但解决延误问题,特别是在高风险国家,可改善其分配并减轻霍乱疫情的影响。本研究强调需要有针对性的策略,以确保在机构能力较弱的脆弱和受冲突影响地区能够获得疫苗。