Clostridium difficile infection seasonality: Patterns across hemispheres and continents - A systematic review

L. Furuya-Kanamori, S.J. Mckenzie, L. Yakob, J.F. Clark, D.L. Paterson, Thomas Riley, A.C.A. Clements

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19 Citations (Scopus)
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Abstract

© 2015 Furuya-Kanamori et al. Background: Studies have demonstrated seasonal variability in rates of Clostridium difficile infection (CDI). Synthesising all available information on seasonality is a necessary step in identifying large-scale epidemiological patterns and elucidating underlying causes. Methods: Three medical and life sciences publication databases were searched from inception to October 2014 for longitudinal epidemiological studies written in English, Spanish or Portuguese that reported the incidence of CDI. The monthly frequency of CDI were extracted, standardized and weighted according to the number of follow-up months. Cross correlation coefficients (XCORR) were calculated to examine the correlation and lag between the yearmonth frequencies of reported CDI across hemispheres and continents. Results: The search identified 13, 5 and 2 studies from North America, Europe, and Oceania, respectively that met the inclusion criteria. CDI had a similar seasonal pattern in the Northern and Southern Hemisphere characterized by a peak in spring and lower frequencies of CDI in summer/autumn with a lag of 8 months (XCORR = 0.60) between hemispheres. There was no difference between the seasonal patterns across European and North American countries. Conclusion: CDI demonstrates a distinct seasonal pattern that is consistent across North America, Europe and Oceania. Further studies are required to identify the driving factors of the observed seasonality.
Original languageEnglish
Pages (from-to)1-12
JournalPLoS One
Volume10
Issue number3
DOIs
Publication statusPublished - 2015

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    Furuya-Kanamori, L., Mckenzie, S. J., Yakob, L., Clark, J. F., Paterson, D. L., Riley, T., & Clements, A. C. A. (2015). Clostridium difficile infection seasonality: Patterns across hemispheres and continents - A systematic review. PLoS One, 10(3), 1-12. https://doi.org/10.1371/journal.pone.0120730