Population-specific data were collected and analyzed to improve planning for influenza pandemics. 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.
【저자키워드】 viruses, oseltamivir, pandemic, Antiviral, Hospitalization, Pneumonia, Ventilation, influenza A virus, antimicrobial, anti-infective agents, intensive care units, Population dynamics, Pandemics, H1N1, Ambulatory care, Healthcare delivery, Inpatients, telemetry, health planning, Influenza A(H1N1)pdm09, 2009, pdm2009, population-based planning, vasoconstrictor, positive pressure respiration,