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Using Twitter to Identify and Respond to Food Poisoning: The Food Safety STL Project

机译:使用Twitter识别和响应食物中毒:食品安全STL项目

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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.
机译:背景:食源性疾病每年患有4名美国居民的1。 这些病人的少数人寻求医疗保健或向公共卫生当局报告疾病,使预防努力复杂化。 报告疾病的公民确定具有比定期检查所发现更严重和危急的食物机构。 新媒体来源,包括在线餐厅评论和社交媒体帖子,有可能改善报告。

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