International Institute for Applied Systems Analysis, Laxenburg, Austria.
World Health Organization, Geneva, Switzerland.
Front Public Health. 2023 Aug 9;11:1202188. doi: 10.3389/fpubh.2023.1202188. eCollection 2023.
Achieving the health and well-being related Sustainable Development Goals (SDGs) and the World Health Organization's (WHO) Triple Billion Targets depends on informed decisions that are based on concerted data collection and monitoring efforts. Even though data availability has been increasing in recent years, significant gaps still remain for routine surveillance to guide policies and actions. The COVID-19 crisis has shown that more and better data and strengthened health information systems are needed to inform timely decisions that save lives. Traditional sources of data such as nationally representative surveys are not adequate for addressing this challenge alone. Additionally, the funding required to measure all health and well-being related SDG indicators and Triple Billion Targets using only traditional sources of data is a challenge to achieving efficient, timely and reliable monitoring systems. Citizen science, public participation in scientific research and knowledge production, can contribute to addressing some of these data gaps efficiently and sustainably when designed well, and ultimately, could contribute to the achievement of the health and well-being related SDGs and Triple Billion Targets. Through a systematic review of health and well-being related indicators, as well as citizen science initiatives, this paper aims to explore the potential of citizen science for monitoring health and well-being and for mobilizing action toward the achievement of health and well-being related targets as outlined in the SDG framework and Triple Billion Targets. The results demonstrate that out of 58 health and well-being related indicators of the SDGs and Triple Billion Targets covered in this study, citizen science could potentially contribute to monitoring 48 of these indicators and their targets, mostly at a local and community level, which can then be upscaled at a national level with the projection to reach global level monitoring and implementation. To integrate citizen science with official health and well-being statistics, the main recommendation is to build trusted partnerships with key stakeholders including National Statistical Offices, governments, academia and the custodian agencies, which is mostly the WHO for these health and well-being related targets and indicators.
实现与健康和福祉相关的可持续发展目标（SDGs）和世界卫生组织的“三亿目标”取决于基于协调一致的数据收集和监测工作的明智决策。尽管近年来数据可用性有所增加，但在常规监测方面仍存在重大差距，无法为政策和行动提供指导。COVID-19 危机表明，需要更多和更好的数据以及加强卫生信息系统，以便及时做出挽救生命的决策。传统的数据来源，如具有代表性的国家调查，不足以单独应对这一挑战。此外，仅使用传统数据源来衡量与健康和福祉相关的所有 SDG 指标和“三亿目标”所需的资金是实现高效、及时和可靠监测系统的一个挑战。公民科学、公众参与科学研究和知识生产，可以在设计合理的情况下有效地解决一些数据差距，并最终有助于实现与健康和福祉相关的 SDGs 和“三亿目标”。本文通过对与健康和福祉相关的指标以及公民科学倡议进行系统回顾，旨在探讨公民科学在监测健康和福祉以及动员行动实现 SDG 框架和“三亿目标”中概述的与健康和福祉相关目标方面的潜力。研究结果表明，在所研究的与健康和福祉相关的 58 项 SDG 和“三亿目标”指标中，公民科学有可能为 48 项指标及其目标的监测做出贡献，主要是在地方和社区层面，然后可以在国家层面进行扩展，并预计达到全球层面的监测和实施。为了将公民科学与官方健康和福祉统计数据相结合，主要建议是与包括国家统计局、政府、学术界和保管机构在内的关键利益攸关方建立值得信赖的伙伴关系，对于这些与健康和福祉相关的目标和指标，主要的利益攸关方是世界卫生组织。
