Using Twitter to Identify and Respond to Food Poisoning: The Food Safety STL Project
Using Twitter to Identify and Respond to Food Poisoning: The Food Safety STL Project
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DOI：
10.1097/phh.0000000000000516
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发表时间：
2017-11-01
影响因子：
3.3
通讯作者：
Brownstein, John S.
中科院分区：
文献类型：
--
作者：
Harris, Jenine K.;Hawkins, Jared B.;Brownstein, John S.
背景：食源性疾病每年影响四分之一的美国居民。很少有病人寻求医疗护理或向公共卫生当局报告病情，这使得预防工作变得更加复杂。报告患病的公民发现食品企业存在比定期检查发现的更严重和严重的违规行为。新媒体来源，包括在线餐厅评论和社交媒体发帖，有可能改进报告。目标：我们实施了一个基于网络的仪表板（HealthMap Foodborne Dashboard），以识别和响应圣路易斯市居民有关食物中毒的推文。设计和设置：本报告检查了圣路易斯市卫生局实施后前 7 个月内仪表板的性能。主要成果指标：我们检查了捕获和回复的相关推文数量、由于新流程而收到的食源性疾病报告，以及每份报告后的餐厅检查结果。结果：在前 7 个月（2015 年 10 月至 2016 年 5 月）中，仪表板捕获了 193 条相关推文。我们对相关推文的回复导致提交的报告比同一时间段内圣路易斯现有的几个食源性疾病报告机制还要多。与通过其他机制报告后接受检查的餐厅相比，在仪表板报告后接受检查的餐厅中存在食品安全违规行为的餐厅比例没有统计差异（P=.60）。 结论：仪表板与其他公民参与机制的不同之处在于它使用当前数据，允许在与选民相关的问题上与选民直接互动，以提供时效性教育和动员信息。在此过程中，仪表板技术具有改善食源性疾病报告的潜力，并且可以在其他领域实施，以改善对自杀、寨卡病毒感染传播和医院质量等公共卫生问题的响应。
Context: Foodborne illness affects 1 in 4 US residents each year. Few of those sickened seek medical care or report the illness to public health authorities, complicating prevention efforts. Citizens who report illness identify food establishments with more serious and critical violations than found by regular inspections. New media sources, including online restaurant reviews and social media postings, have the potential to improve reporting.Objective: We implemented a Web-based Dashboard (HealthMap Foodborne Dashboard) to identify and respond to tweets about food poisoning from St Louis City residents.Design and Setting: This report examines the performance of the Dashboard in its first 7 months after implementation in the City of St Louis Department of Health.Main Outcome Measures: We examined the number of relevant tweets captured and replied to, the number of foodborne illness reports received as a result of the new process, and the results of restaurant inspections following each report.Results: In its first 7 months (October 2015-May 2016), the Dashboard captured 193 relevant tweets. Our replies to relevant tweets resulted in more filed reports than several previously existing foodborne illness reporting mechanisms in St Louis during the same time frame. The proportion of restaurants with food safety violations was not statistically different (P=.60) in restaurants inspected after reports from the Dashboard compared with those inspected following reports through other mechanisms.Conclusion: The Dashboard differs from other citizen engagement mechanisms in its use of current data, allowing direct interaction with constituents on issues when relevant to the constituent to provide time-sensitive education and mobilizing information. In doing so, the Dashboard technology has potential for improving foodborne illness reporting and can be implemented in other areas to improve response to public health issues such as suicidality, spread of Zika virus infection, and hospital quality.