Seasonal dynamics of bacterial meningitis: a time-series analysis.

ABSTRACT:

Background

Bacterial meningitis, which is caused mainly by Neisseria meningitidis, Haemophilus influenzae, and Streptococcus pneumoniae, inflicts a substantial burden of disease worldwide. Yet, the temporal dynamics of this disease are poorly characterised and many questions remain about the ecology of the disease. We aimed to comprehensively assess seasonal trends in bacterial meningitis on a global scale.

Methods

We developed the first bacterial meningitis global database by compiling monthly incidence data as reported by country-level surveillance systems. Using country-level wavelet analysis, we identified whether a 12 month periodic component (annual seasonality) was detected in time-series that had at least 5 years of data with at least 40 cases reported per year. We e

SUBMITTER: Paireau J 

PROVIDER: S-EPMC5516123 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature