validation of statistical models for estimating hospitalization associated with influenza and other respiratory viruses验证统计模型估算和其他呼吸道病毒与流感相关的住院治疗.pdfVIP

Validation of Statistical Models for Estimating Hospitalization Associated with Influenza and Other Respiratory Viruses 1. 2. 1 3 2 Lin Yang , Susan S. Chiu , King-Pan Chan , Kwok-Hung Chan , Wilfred Hing-Sang Wong , J. S. Malik 3,4 1 Peiris *, Chit-Ming Wong * 1 Department of Community Medicine, School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region, China, 2 Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China, 3 Department of Microbiology, The University of Hong Kong, Hong Kong Special Administrative Region, China, 4 The University of Hong Kong Pasteur Research Center, Hong Kong Special Administrative Region, China Abstract Background: Reliable estimates of disease burden associated with respiratory viruses are keys to deployment of preventive strategies such as vaccination and resource allocation. Such estimates are particularly needed in tropical and subtropical regions where some methods commonly used in temperate regions are not applicable. While a number of alternative approaches to assess the influenza associated disease burden have been recently reported, none of these models have been validated with virologically confirmed data. Even fewer methods have been developed for other common respiratory viruses such as respiratory syncytial virus (RSV), parainfluenza and adenovirus. Methods and Findings: We had recently conducted a prospective population-based study of virologically confirmed hospitalization for acute respiratory illnesses in persons ,18 years residing in Hong Kong Island. Here we used this dataset to