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|Abstract:||Background Bacterial meningitis, which is caused mainly by Neisseria meningitidis, Haemophilus infl uenzae, and Streptococcus pneumoniae, infl icts 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 fi rst 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 estimated the mean timing of disease activity by computing the centre of gravity of the distribution of cases and investigated whether synchrony exists between the three pathogens responsible for most cases of bacterial meningitis. Findings We used country-level data from 66 countries, including from 47 countries outside the meningitis belt in sub-Saharan Africa. A persistent seasonality was detected in 49 (96%) of the 51 time-series from 38 countries eligible for inclusion in the wavelet analyses. The mean timing of disease activity had a latitudinal trend, with bacterial meningitis seasons peaking during the winter months in countries in both the northern and southern hemispheres. The three pathogens shared similar seasonality, but time-shifts diff ered slightly by country. Interpretation Our fi ndings provide key insight into the seasonal dynamics of bacterial meningitis and add to knowledge about the global epidemiology of meningitis and the host, environment, and pathogen characteristics driving these patterns. Comprehensive understanding of global seasonal trends in meningitis could be used to design more eff ective prevention and control strategies. Funding Princeton University Health Grand Challenge, US National Institutes of Health (NIH), NIH Fogarty International Center Research and Policy for Infectious Disease Dynamics programme (RAPIDD), Bill & Melinda Gates Foundation.|
|Citation:||Paireau, Juliette, Chen, Angelica, Broutin, Helene, Grenfell, Bryan, Basta, Nicole E. (2016). Seasonal dynamics of bacterial meningitis: a time-series analysis. The Lancet Global Health, 4 (6), e370 - e377. doi:10.1016/S2214-109X(16)30064-X|
|Pages:||e370 - e377|
|Type of Material:||Journal Article|
|Journal/Proceeding Title:||The Lancet Global Health|
|Version:||Final published version. This is an open access article.|
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