Outpatient physician billing data for age and setting specific syndromic surveillance of influenza-like illnesses
Outpatient physician billing data for age and setting specific syndromic surveillance of influenza-like illnesses
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DOI：
10.1016/j.jbi.2010.10.001
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发表时间：
2011-04-01
影响因子：
4.5
通讯作者：
Buckeridge, David L.
中科院分区：
文献类型：
--
作者：
Chan, Emily H.;Tamblyn, Robyn;Buckeridge, David L.
症状监测是一种监测流感活动的新型自动化方法，但对于此类系统中使用的信息最丰富的数据源尚未达成共识。通过比较加拿大魁北克省的医生账单数据和入院记录，我们评估了两种类型的门诊医疗机构因流感样疾病 (ILI) 就诊的及时性。总体而言，社区环境中 5-17 岁儿童的 ILI 就诊与入院率的相关性最强，并且领先于入院率最大。然而，一定程度的逐年变化表明，流感症状监测不应仅关注单个亚组。这些发现揭示了流行病监测实时数据的丰富性，并证明了症状监测的灵活性。通过使用实时数据，可以根据流行病学模式快速表征不断演变的流行病，这是传统监测系统无法实现的。 (c) 2010 Elsevier Inc. 保留所有权利。
Syndromic surveillance is a novel automated approach to monitoring influenza activity, but there is no consensus regarding the most informative data sources for use within such a system. By comparing physician billing data from Quebec, Canada and hospital admission records, we assessed the timeliness of medical visits for influenza-like illnesses (ILI) to two types of outpatient healthcare settings. Overall, ILI visits by children aged 5-17 years at community-based settings were the most strongly correlated with hospital admissions and gave the greatest lead over hospital admissions. However, a degree of year-to-year variation suggests that syndromic surveillance of influenza should not focus on just a single subgroup. These findings reveal the richness of these real-time data for epidemic monitoring and demonstrate the flexibility of syndromic surveillance. By using real-time data, an evolving epidemic can be rapidly characterized by its epidemiological patterns, which is not possible with traditional surveillance systems. (c) 2010 Elsevier Inc. All rights reserved.