超越 "一切照旧":国际足联在全球卫生领域公平分享利益方面的经验教训

Brian Wahl, Gabriel Butin, Spring Gombe, Nina Schwalbe
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摘要

虽然中低收入国家的研究人员和机构经常为公共卫生监测数据做出重大贡献,而这些数据对于有效的大流行病预防、准备和应对活动至关重要,但他们的贡献往往得不到足够的补偿。激励数据共享对于为公共卫生应对具有大流行潜力的病原体提供信息非常重要。然而,现有的数据共享法律框架存在局限性。在这种情况下,我们跳出 "常规模式",探索国际足球联合会 (FIFA) 在国际足球领域开发和实施的利益共享模式的适用性。该模式奖励基层贡献并重新分配利益,促进不同经济背景下利益的公平平衡。我们讨论了如何调整国际足联的机制,包括培训补偿和团结金,以在全球卫生领域创建一个新颖的利益分享框架。鉴于全球卫生的复杂性,我们指出了国际足联模式的组成部分需要针对全球卫生进行调整的方式。我们研究了将其纳入现有法律框架、确保广泛的国际认同以及适应不同的流行病时期等挑战。虽然调整国际足联模式会带来挑战,但它为在全球卫生领域实现更公平的数据共享和利益分配提供了一种很有前景的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Beyond “business as usual”: Lessons from FIFA for fair benefit-sharing in global health
While researchers and agencies from low- and middle-income countries often contribute significantly to public health surveillance data, which is crucial for effective pandemic prevention, preparedness, and response activities, they often do not receive adequate compensation for their contributions. Incentivizing data sharing is important for informing public health responses to pathogens with pandemic potential. However, existing data sharing legal frameworks have limitations. In this context, we looked beyond “business the usual suspects” to explore the applicability of a benefit-sharing model developed and implemented by the International Federation of Association Football (FIFA) in international association football. This model rewards grassroots contributions and redistributes benefits, promoting a fair balance of interests across diverse economic contexts. We discuss adapting FIFA's mechanisms, including training compensation and solidarity payments, to create a novel benefit-sharing framework in global health. Given the complexity of global health, we note ways in which components of the FIFA model would need to be adapted for global health. Challenges such as integrating into existing legal frameworks, ensuring broad international buy-in, and accommodating different pandemic periods are examined. While adapting the FIFA model presents challenges, it offers a promising approach to achieving more equitable data sharing and benefit distribution in global health.
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