Influenza newspaper reports and the influenza epidemic: an observational study in Fukuoka City, Japan

OBJECTIVES: We examined whether the weekly number of newspaper articles reporting on influenza was related to the incidence of influenza in a large city. DESIGN: Prospective, non-randomised, observational study. SETTING: Registry data of influenza cases in Fukuoka City, Japan. PARTICIPANTS: A total of 83 613 cases of influenza cases that occurred between October 1999 and March 2007 in Fukuoka City, Japan. MAIN OUTCOME MEASURE: A linear model with autoregressive time series errors was fitted to time series data on the incidence of influenza and the accumulated number of influenza-related newspaper articles with different time lags in Fukuoka City, Japan. In order to obtain further evidence that the number of newspaper articles a week with specific time lags is related to the incidence of influenza, Granger causality was also tested. RESULTS: Of the 16 models including ‘number of newspaper articles’ with different time lags between 2 and 17 weeks (x(t-2 to t-17)), the β coefficients of ‘number of newspaper articles’ at time lags between t-5 and t-13 were significant. However, the β coefficients of ‘number of newspaper articles’ that are significant with respect to the Granger causality tests (p<0.05) were the weekly number of newspaper articles at time lags between t-6 and t-10 (time shift of 10 weeks, β=−0.301, p<0.01; time shift of 9 weeks, β=−0.200, p<0.01; time shift of 8 weeks, β=−0.156, p<0.01; time shift of 7 weeks, β=−0.122, p<0.05; time shift of 6 weeks, β=−0.113, p<0.05). CONCLUSIONS: We found that the number of newspaper articles reporting on influenza in a week was related to the incidence of influenza 6–10 weeks after media coverage in a large city in Japan.