Related Experiment Video
Updated: Jun 10, 2026

Use of an Influenza Antigen Microarray to Measure the Breadth of Serum Antibodies Across Virus Subtypes
Published on: July 26, 2019
Controlling influenza A (H1N1) in China: Bayesian or frequentist approach
Dejian Lai1, Chiehwen Ed Hsu, Jay H Glasser
1University of Texas School of Public Health, Houston, TX 77030, USA. dejian.lai@uth.tmc.edu
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.
Related Concept Videos
Steps in Outbreak Investigation
Statistical Methods for Analyzing Epidemiological Data
Causality in Epidemiology
Infectious Diseases and Their Occurrence
Influenza
Bias in Epidemiological Studies

