墨西哥参与性监测系统确定的与流感样疾病相关的危险因素:流行性感冒的危险因素

C. Stephens, R. Rodríguez-Ramírez, V. Mireles, Sergio Hernández López, Concepción Garcia-Aguirre, J. Ortiz, N. Mantilla-Beniers
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摘要

基于互联网的流感样疾病(ILI)监测自近十年前开始以来已经变得更加普遍,这既通过基于流感相关术语搜索数量的估计(例如,谷歌流感趋势),也通过参与式监测系统。后者通常被视为使人们参与重要的科学和公共卫生事务的方式,它收集了丰富的潜在有价值的流行病学信息,与通过已建立的疾病监测网络获得的信息相辅相成,这些信息通常也不在基于搜索的网络算法中。我们对来自墨西哥监测网站“Reporta”的数据进行了统计分析,通过该数据确定了与参与者报告ILI症状相关的风险因素,并根据目前对影响感染传播导致疾病的因素的了解来解释这些结果。除了与感染易感性增加相关的标准因素外,一些与高风险相关的新行为因素包括:(i)使用公共交通工具;(ii)经常与动物接触,以及(iii)使用非标准干预措施,如顺势疗法。虽然在公共交通工具上与一大群人的密切接触通常被认为是疾病传播的重要因素,但与动物的频繁接触并非如此。我们的结果与先前的观察一致,即动物可能作为流动的污染物,因此增加了患病的倾向。我们的结论是,对来自基于互联网的系统的丰富信息集的分析可能会提出关于疾病传播的新想法,值得进行实地研究。
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Risk Factors Linked to Influenza-like Illness as Identified from the Mexican Participatory Surveillance System: Risk Factors in ILI
Internet-based monitoring of influenza-like illnesses (ILI) has become more common since its beginnings nearly a decade ago, both through estimates based on the number of searches for influenza-related terms (e.g., Google flu trends), or by means of participatory surveillance systems. The latter, often seen as ways of engaging people in matters of scientific and public health importance, gather a wealth of potentially valuable epidemiological information complementary to that obtained through the established disease surveillance networks and also usually absent from search-based web algorithms. We present a statistical analysis of the data from the Mexican monitoring website "Reporta" by which the risk factors linked to reporting of ILI symptoms as outcome among its participants are determined, and interpret these results based on current knowledge of the factors that influence transmission of infection resulting in disease. Besides standard factors associated with enhanced susceptibility to infection some novel behavioral factors linked to high risk were: (i) use of public transport; (ii) frequent contact with animals, and (iii) use of non-standard interventions, such as homeopathy. While close contact with large groups of people in public transportation is generally assumed to be important in disease spread, frequent contact with animals is not. Our results are consistent with previous observations that animals may serve as mobile fomites and hence increase the propensity to develop disease. We conclude that analysis of rich information sets from Internet-based systems may suggest novel ideas on disease spread that are worth following up with field research.
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