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首页> 外文期刊>Emerging Infectious Diseases >Population Effects of Influenza A(H1N1) Pandemic among Health Plan Members, San Diego, California, USA, October–December 2009
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Population Effects of Influenza A(H1N1) Pandemic among Health Plan Members, San Diego, California, USA, October–December 2009

机译:2009年10月至12月,美国加利福尼亚州圣地亚哥,卫生计划成员中甲型H1N1流感大流行的人口影响

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摘要

Lacking population-specific data, activity of seasonal and pandemic influenza is usually tracked by counting the number of diagnoses and visits to medical facilities above a baseline. This type of data does not address the delivery of services in a specific population. To provide population-specific data, this retrospective study of patients with influenza-like illness, influenza, and pneumonia among members of a Kaiser Permanente health plan in San Diego, California, USA, during October–December 2009 was initiated. Population data included the number of outpatients accessing healthcare; the number of patients diagnosed with pneumonia; antimicrobial therapy administered; number of patients hospitalized with influenza, influenza-like illness, or pneumonia; level of care provided; and number of patients requiring specialized treatments (e.g., oxygen, ventilation, vasopressors). The rate of admissions specific to weeks and predictions of 2 epidemiologic models shows the strengths and weaknesses of those tools. Data collected in this study may improve planning for influenza pandemics.
机译:由于缺乏针对特定人群的数据,因此通常通过计算诊断量和对基线以上医疗机构的就诊次数来跟踪季节性和大流行性流感的活动。此类数据无法解决特定人群中的服务交付问题。为了提供特定人群的数据,于2009年10月至12月在美国加利福尼亚州圣地亚哥的一项Kaiser Permanente健康计划的成员中,对流感样疾病,流感和肺炎患者进行了这项回顾性研究。人口数据包括门诊就医人数;被诊断患有肺炎的患者人数;进行抗菌治疗;流感,类流感或肺炎住院患者的数量;提供的护理水平;以及需要特殊治疗的患者数量(例如氧气,通气,升压药)。特定于几周的入院率和两种流行病学模型的预测表明了这些工具的优缺点。本研究收集的数据可能会改善流感大流行的规划。

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