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Evaluation of Local Media Surveillance for Improved Disease Recognition and Monitoring in Global Hotspot Regions

机译:评估本地媒体监视以改善全球热点地区的疾病识别和监控

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摘要

Digital disease detection tools are technologically sophisticated, but dependent on digital information, which for many areas suffering from high disease burdens is simply not an option. In areas where news is often reported in local media with no digital counterpart, integration of local news information with digital surveillance systems, such as HealthMap (Boston Children’s Hospital), is critical. Little research has been published in regards to the specific contribution of local health-related articles to digital surveillance systems. In response, the USAID PREDICT project implemented a local media surveillance (LMS) pilot study in partner countries to monitor disease events reported in print media. This research assessed the potential of LMS to enhance digital surveillance reach in five low- and middle-income countries. Over 16 weeks, select surveillance system attributes of LMS, such as simplicity, flexibility, acceptability, timeliness, and stability were evaluated to identify strengths and weaknesses in the surveillance method. Findings revealed that LMS filled gaps in digital surveillance network coverage by contributing valuable localized information on disease events to the global HealthMap database. A total of 87 health events were reported through the LMS pilot in the 16-week monitoring period, including 71 unique reports not found by the HealthMap digital detection tool. Furthermore, HealthMap identified an additional 236 health events outside of LMS. It was also observed that belief in the importance of the project and proper source selection from the participants was crucial to the success of this method. The timely identification of disease outbreaks near points of emergence and the recognition of risk factors associated with disease occurrence continue to be important components of any comprehensive surveillance system for monitoring disease activity across populations. The LMS method, with its minimal resource commitment, could be one tool used to address the information gaps seen in global ‘hot spot’ regions.
机译:数字疾病检测工具技术先进,但是依赖于数字信息,对于许多疾病负担严重的地区来说,数字信息根本不是一种选择。在通常没有本地数字媒体的本地媒体上报道新闻的地区,将本地新闻信息与数字监视系统(例如HealthMap(波士顿儿童医院))集成至关重要。关于本地卫生相关文章对数字监视系统的具体贡献,尚未发表任何研究。作为回应,美国国际开发署的PREDICT项目在合作伙伴国家实施了本地媒体监视(LMS)试点研究,以监视印刷媒体报道的疾病事件。这项研究评估了LMS在五个中低收入国家/地区中增强数字监视范围的潜力。在16周内,对LMS的选定监视系统属性(如简单性,灵活性,可接受性,及时性和稳定性)进行了评估,以确定监视方法的优缺点。调查结果表明,LMS通过向全球HealthMap数据库提供有关疾病事件的有价值的本地化信息,填补了数字监控网络覆盖范围的空白。在16周的监视期内,通过LMS试点共报告了87次健康事件,包括HealthMap数字检测工具未发现的71条独特报告。此外,HealthMap还确定了LMS之外的其他236个健康事件。还观察到,相信该项目的重要性以及从参与者中正确选择来源对于该方法的成功至关重要。及时识别疾病爆发点附近的疾病暴发以及与疾病发生有关的危险因素的认识仍然是用于监测人群间疾病活动的任何全面监测系统的重要组成部分。 LMS方法具有最小的资源投入,可以用来解决全球“热点”地区中出现的信息空白。

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