消除无形死亡:全球狂犬病数据的糟糕状况及其对实现 2030 年被忽视热带疾病可持续发展目标的影响

Catherine Swedberg, Katrin Bote, Luke Gamble, N. Fénélon, A. King, Ryan M. Wallace
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引用次数: 0

摘要

与其他被忽视的疾病一样,狂犬病的监测数据不足,无法满足准确描述疾病负担的需要。在过去二十年中,已经开展了多项模型研究,这些研究的核心是估算全球人类狂犬病死亡人数,研究结果从每年 14,000 例死亡到 74,000 例死亡不等。然而,模型参数的不确定性、建模方法的不一致性以及全球负担研究中每个国家数据质量的差异,导致人们最近对狂犬病死亡率的规模持怀疑态度。数据的缺乏不仅限制了消除狂犬病战略的效率和监测工作,也严重削弱了向国际资助机构争取支持的能力。与此同时,最脆弱的社区继续因死亡而受苦,而这些死亡本可以通过更有力的报告来避免。到 2030 年消灭由犬介导的人类狂犬病的 "零到 30 "全球战略建议狂犬病流行国家采用跨部门方法--咬伤病例综合管理 (IBCM),作为加强监测的一种具有成本效益的方法。然而,能力、资源、知识、技能和遵守态度有限等挑战阻碍了综合咬伤病例管理的有效实施。为解决这一问题,世界卫生组织和联合反狂犬病论坛开发了几种开放存取工具,以指导国家控制项目采取有力的数据收集措施,并开发了在线数据存储库,以切实简化报告程序并鼓励数据共享。在此,我们将讨论如何更好地利用当前和未来的倡议,改进现有监测工具的实施,并优先考虑有效的数据报告/共享,以优化实现 2030 年消灭狂犬病的进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Eliminating invisible deaths: the woeful state of global rabies data and its impact on progress towards 2030 sustainable development goals for neglected tropical diseases
Like other neglected diseases, surveillance data for rabies is insufficient and incompatible with the need to accurately describe the burden of disease. Multiple modeling studies central to estimating global human rabies deaths have been conducted in the last two decades, with results ranging from 14,000 to 74,000 deaths annually. Yet, uncertainty in model parameters, inconsistency in modeling approaches, and discrepancies in data quality per country included in global burden studies have led to recent skepticism about the magnitude of rabies mortality. Lack of data not only limits the efficiency and monitoring of rabies elimination strategies but also severely diminishes abilities to advocate for support from international funding agencies. Meanwhile, the most vulnerable communities continue to suffer from deaths that could have been prevented through more robust reporting. The Zero by 30 global strategy to eliminate dog-mediated human rabies by 2030 recommends endemic countries adopt the intersectoral approach, Integrated Bite Case Management (IBCM), as a cost-effective method to enhance surveillance. However, effective implementation of IBCM is impeded by challenges such as limited capacity, resources, knowledge, skills, and attitudes toward compliance. To address this, the World Health Organization and United Against Rabies Forum have developed several open-access tools to guide national control programs in strong data collection practices, and online data repositories to pragmatically streamline reporting and encourage data sharing. Here, we discuss how current and future initiatives can be best employed to improve the implementation of existing surveillance tools and prioritization of effective data reporting/sharing to optimize progress toward 2030 elimination.
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