Time-series analysis of monthly age-specific numbers of newly registered cases of active tuberculosis in Japan from 1998 to 2013

Abstract

We investigated the seasonality of age-specific tuberculosis (TB) in Japan. To allow the development of TB control strategies for different age groups we used a time-series analysis, including a spectral analysis and least squares method, to analyse the monthly age-specific numbers of newly registered cases of all forms of active TB in Japan from January 1998 to December 2013. The time-series data are reported in 10-year age groups: 0-9, 10-19, ... , 70-79, and ≥80 years. We defined the contribution ratio of the 1-year cycle, Q 1, as the contribution of the amplitude of a 1-year cycle to the whole amplitude of the time-series data. The Q 1 values in the age groups corresponding to adolescence and middle life (10-39 years) and old age (≥70 years) were high. The peaks in the active TB epidemics for the ≥70 years age group occurred in August and September, 1-2 months behind the peaks for the 10-39 years age group (June and July). An active TB epidemic might be attributable to travel by public transport and irregular employment in the 10-39 years age group and immune system suppression by low winter temperatures in the ≥70 years age group.