School of Population Health, University of Queensland, Herston, Queensland, Australia.
Environ Health Perspect. 2011 May;119(5):585-90. doi: 10.1289/ehp.1002575. Epub 2010 Dec 16.
Emerging environmental pressures resulting from climate change and globalization challenge the capacity of health information systems (HIS) in the Pacific to inform future policy and public health interventions. Ciguatera, a globally common marine food-borne illness, is used here to illustrate specific HIS challenges in the Pacific and how these might be overcome proactively to meet the changing surveillance needs resulting from environmental change.
We review and highlight inefficiencies in the reactive nature of existing HIS in the Pacific to collect, collate, and communicate ciguatera fish poisoning data currently used to inform public health intervention. Further, we review the capacity of existing HIS to respond to new data needs associated with shifts in ciguatera disease burden likely to result from coral reef habitat disruption.
Improved knowledge on the ecological drivers of ciguatera prevalence at local and regional levels is needed, combined with enhanced surveillance techniques and data management systems, to capture environmental drivers as well as health outcomes data.
The capacity of public HIS to detect and prevent future outbreaks is largely dependent on the future development of governance strategies that promote proactive surveillance and health action. Accordingly, we present an innovative framework from which to stimulate scientific debate on how this might be achieved by using existing larger scale data sets and multidisciplinary collaborations.
气候变化和全球化带来的新环境压力对太平洋地区的卫生信息系统 (HIS) 提出了挑战,使其难以提供未来的政策和公共卫生干预措施的信息。本研究以全球常见的食源性海洋中毒疾病——雪卡毒素中毒为例,阐述了太平洋地区 HIS 面临的具体挑战,以及如何主动应对这些挑战,以满足因环境变化而不断变化的监测需求。
我们回顾和强调了太平洋地区现有 HIS 在收集、整理和传播当前用于公共卫生干预的雪卡毒素鱼中毒数据方面的反应式固有缺陷。此外,我们还审查了现有 HIS 应对与珊瑚礁生境破坏相关的雪卡毒素疾病负担变化相关的新数据需求的能力。
需要更好地了解本地和区域层面雪卡毒素流行的生态驱动因素,并结合强化监测技术和数据管理系统,以捕捉环境驱动因素和健康结果数据。
公共 HIS 检测和预防未来爆发的能力在很大程度上取决于未来发展治理策略的情况,这些策略应能促进主动监测和卫生行动。因此,我们提出了一个创新框架,以激发关于如何利用现有更大规模数据集和多学科合作来实现这一目标的科学讨论。