Did anyone get sick this weekend?

Calvin Tan, Dale Chen, L. Dix-Cooper, L. McIntyre
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Abstract

  Background Recreational water illnesses are not as well known as food borne illnesses in the media. There are several pathogens associated with ingesting surface water including Giardia, Cryptosporidium, and Toxoplasmosis. The use of technology for public health surveillance is also little known to the public and can provide much insight into other illnesses on social media not otherwise reported to public health and medical professionals. Illnesses on social media could represent a portion of unreported cases. These cases could be found on social media as a popular outlet for individual expression. Methods Social media posts were found using a variety of keywords including symptoms of significant waterborne illnesses and terms associated with human and environmental contamination. Social media posts were collected from forums and popular social media platforms such as reddit. The posts were then correlated with beach water quality data for a sampling site as geographically close to a case location as possible. Results Social media and water quality data collected from the Columbia river region were correlated. The correlation coefficient of 0.2335 indicates that there is no correlation between social media posts and beach water quality data. Numerous limitations may have impacted the correlation coefficient. Keywords associated with symptoms were more effective in obtaining quality threads and posts compared to other terms. Conclusions Correlating social media posts to water quality data in the Columbia river region does not provide statistically significant results. Manual gathering of social media data for public health surveillance is found to be inefficient and impractical. Further study is required in order to determine the effectiveness of using social media for public health data gathering. It remains to be seen whether correlating posts about illness on social media to water quality data is an effective method of surveillance for public health.  
这个周末有人生病了吗?
娱乐用水引起的疾病在媒体上并不像食源性疾病那样广为人知。有几种病原体与摄取地表水有关,包括贾第鞭毛虫、隐孢子虫和弓形虫病。公众对公共卫生监测技术的使用也知之甚少,并且可以在社交媒体上提供对其他疾病的深入了解,否则不会向公共卫生和医疗专业人员报告。社交媒体上的疾病可能代表了未报告病例的一部分。这些案例可以在社交媒体上找到,因为社交媒体是个人表达的流行渠道。方法收集社交媒体上使用各种关键词的帖子,包括重大水传播疾病的症状和与人类和环境污染相关的术语。社交媒体帖子是从论坛和reddit等热门社交媒体平台上收集的。然后将这些帖子与采样地点的海滩水质数据联系起来,在地理上尽可能靠近病例位置。结果社交媒体与哥伦比亚河流域水质数据存在相关性。相关系数为0.2335,说明社交媒体帖子与海滩水质数据之间不存在相关性。许多限制可能影响了相关系数。与其他关键词相比,与症状相关的关键词在获得高质量的帖子和帖子方面更有效。结论将社交媒体帖子与哥伦比亚河地区水质数据相关联并不能提供统计上显著的结果。人工收集社交媒体数据用于公共卫生监测被认为是低效和不切实际的。需要进一步研究,以确定使用社交媒体收集公共卫生数据的有效性。将社交媒体上有关疾病的帖子与水质数据联系起来是否是一种有效的公共卫生监测方法,还有待观察。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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