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Geotemporal analysis of Neisseria meningitidis clones in the United States: 2000-2005.

Authors :
Wiringa AE
Shutt KA
Marsh JW
Cohn AC
Messonnier NE
Zansky SM
Petit S
Farley MM
Gershman K
Lynfield R
Reingold A
Schaffner W
Thompson J
Brown ST
Lee BY
Harrison LH
Source :
PloS one [PLoS One] 2013 Dec 12; Vol. 8 (12), pp. e82048. Date of Electronic Publication: 2013 Dec 12 (Print Publication: 2013).
Publication Year :
2013

Abstract

Background: The detection of meningococcal outbreaks relies on serogrouping and epidemiologic definitions. Advances in molecular epidemiology have improved the ability to distinguish unique Neisseria meningitidis strains, enabling the classification of isolates into clones. Around 98% of meningococcal cases in the United States are believed to be sporadic.<br />Methods: Meningococcal isolates from 9 Active Bacterial Core surveillance sites throughout the United States from 2000 through 2005 were classified according to serogroup, multilocus sequence typing, and outer membrane protein (porA, porB, and fetA) genotyping. Clones were defined as isolates that were indistinguishable according to this characterization. Case data were aggregated to the census tract level and all non-singleton clones were assessed for non-random spatial and temporal clustering using retrospective space-time analyses with a discrete Poisson probability model.<br />Results: Among 1,062 geocoded cases with available isolates, 438 unique clones were identified, 78 of which had ≥2 isolates. 702 cases were attributable to non-singleton clones, accounting for 66.0% of all geocoded cases. 32 statistically significant clusters comprised of 107 cases (10.1% of all geocoded cases) were identified. Clusters had the following attributes: included 2 to 11 cases; 1 day to 33 months duration; radius of 0 to 61.7 km; and attack rate of 0.7 to 57.8 cases per 100,000 population. Serogroups represented among the clusters were: B (n = 12 clusters, 45 cases), C (n = 11 clusters, 27 cases), and Y (n = 9 clusters, 35 cases); 20 clusters (62.5%) were caused by serogroups represented in meningococcal vaccines that are commercially available in the United States.<br />Conclusions: Around 10% of meningococcal disease cases in the U.S. could be assigned to a geotemporal cluster. Molecular characterization of isolates, combined with geotemporal analysis, is a useful tool for understanding the spread of virulent meningococcal clones and patterns of transmission in populations.

Details

Language :
English
ISSN :
1932-6203
Volume :
8
Issue :
12
Database :
MEDLINE
Journal :
PloS one
Publication Type :
Academic Journal
Accession number :
24349182
Full Text :
https://doi.org/10.1371/journal.pone.0082048