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Critical Issues in the Development of Health Information Systems in Supporting Environmental Health: A Case Study of Ciguatera

机译:支持环境卫生的卫生信息系统开发中的关键问题:以西瓜特拉为例

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Background 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. Objectives 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. Discussion 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. Conclusions 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.
机译:背景技术气候变化和全球化带来的新的环境压力挑战了太平洋地区卫生信息系统为未来政策和公共卫生干预提供信息的能力。 Ciguatera是全球常见的海洋食源性疾病,在这里用于说明太平洋地区的HIS具体挑战,以及如何积极克服这些挑战,以满足因环境变化而引起的不断变化的监视需求。目标我们审查并强调太平洋现有HIS的反应性效率低下,以收集,整理和传达当前用于公共卫生干预的雪茄鱼中毒数据。此外,我们回顾了现有的HIS应对新数据需求的能力,这些新数据需求与可能由于珊瑚礁栖息地破坏而引起的卡加拉河疾病负担的变化有关。讨论需要在地方和区域两级提高对卡加泰拉流行的生态驱动因素的了解,并结合增强的监测技术和数据管理系统,以捕获环境驱动因素和健康结果数据。结论公共HIS检测和预防未来暴发的能力在很大程度上取决于促进主动监测和健康行动的治理战略的未来发展。因此,我们提出了一个创新的框架,从中激发关于使用现有的大规模数据集和多学科合作如何实现这一目标的科学辩论。

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