Summary of costing studies.

Climate change alters risks associated with climate-sensitive infectious diseases (CSIDs) with pandemic potential. This poses additional threats to already vulnerable populations, further amplified by social factors such as gender inequalities. Currently, critical evidence gaps, along with inadequate institutional and governance mechanisms, hinder African states’ ability to prevent, detect and respond to CSIDs. Effective responses require transparent and evidence-based decision-making processes, supported by fit-for-purpose data systems and robust economic analyses. The aim of this study was to explore the role of data systems and economics in priority setting for CSID pandemic preparedness in sub-Saharan Africa. We conducted a rapid scoping review following PRISMA-ScR guidelines. A literature search was performed across six bibliographic databases in November 2023. A list of 14 target CSIDs was produced, informed by the World Health Organization’s Public Health Emergencies of International Concern and R&D Blueprint Pathogen lists, and a database of CSIDs. Studies were included if published between 2010 and 2023, were relevant to sub-Saharan Africa, pandemic preparedness, and a target CSID, and applied or assessed economic evaluations or data systems. Extracted data were synthesised using bibliometric analysis, topic categorisation, and a narrative synthesis including the application of a gender lens. We identified 68 relevant studies. Data system studies (n = 50) showed broad coverage across target CSIDs and the WHO AFRO region but also a high degree of heterogeneity, which may indicate a lack of clearly defined standards or research priorities. Economic studies (n = 18) primarily focused on COVID-19 or Ebola and mostly originated from South Africa. Both data system and economic studies identified limited interoperability across sectors and showed a notable absence of gendered considerations. These gaps present important opportunities to strengthen priority setting during pandemics and may contribute to improved and equitable health outcomes.气候变化会改变具备大流行潜力的气候敏感性传染病（climate-sensitive infectious diseases, CSIDs）相关的风险。这对本已处于弱势的人群构成额外威胁，而性别不平等等社会因素会进一步放大这一风险。当前，关键证据缺口以及不完善的制度与治理机制，阻碍了非洲国家预防、侦测并应对气候敏感性传染病的能力。有效的应对举措需要透明且基于证据的决策流程，并辅以适配场景的数据系统与严谨的经济分析作为支撑。 本研究旨在探究数据系统与经济学在撒哈拉以南非洲地区气候敏感性传染病大流行防备优先级设定中的作用。本研究遵循PRISMA-ScR指南开展了快速范围综述，于2023年11月针对6个书目数据库开展了文献检索。研究结合世界卫生组织（World Health Organization, WHO）的《国际关注的突发公共卫生事件》与《研发蓝图病原体清单》，以及气候敏感性传染病数据库，确定了14种目标气候敏感性传染病。纳入标准为：文献发表于2010至2023年间、与撒哈拉以南非洲地区、大流行防备及目标气候敏感性传染病相关，且涉及经济评估或数据系统的应用与评估。研究通过文献计量分析、主题分类以及纳入性别视角的叙事性综合分析，对提取的数据进行了整合。 最终共纳入68项相关研究。数据系统相关研究（n=50）覆盖了全部目标气候敏感性传染病及世界卫生组织非洲区域办事处（WHO AFRO）所辖区域，但存在高度异质性，这可能意味着尚未明确界定相关标准或研究优先级。经济类研究（n=18）主要聚焦于COVID-19或埃博拉病毒病，且多数来自南非。数据系统与经济类研究均指出，跨部门互操作性存在局限，且显著缺乏性别相关考量。上述缺口为强化大流行期间的优先级设定工作提供了重要契机，或有助于改善健康结局并提升公平性。