Controlling influenza A (H1N1) in China: Bayesian or frequentist approach

Dejian Lai, Chiehwen Ed Hsu, Jay H. Glasser

Research output: Contribution to journalReview articlepeer-review

Abstract

This article discusses two approaches to controlling the newly identified influenza A (H1N1): via Bayesian and frequentist statistical reasoning. This study reviewed the measures implemented in China as an example to illustrate these two approaches. Since May 2009, China has deployed strict controlling mechanisms based on the strong prior Bayesian assumption that the origin of influenza A (H1N1) was from outside China and as such strict border control would keep the virus from entering China. After more than 4 months of hard work by Chinese health professionals and officials, the number of confirmed influenza A (H1N1) has increased steadily against the expectations of the general public. Taking into account the great financial burden in maintaining strict measures, Chinese health authorities have slowly adjusted their policies of controlling influenza A (H1N1) in China according to frequentist reasoning since July 2009.

Original languageEnglish
Pages (from-to)352-360
Number of pages9
JournalAsia-Pacific Journal of Public Health
Volume24
Issue number2
DOIs
Publication statusPublished - 2012 Mar

All Science Journal Classification (ASJC) codes

  • Public Health, Environmental and Occupational Health

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