Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

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

Wiringa, AE and Shutt, KA and Marsh, JW and Cohn, AC and Messonnier, NE and Zansky, SM and Petit, S and Farley, MM and Gershman, K and Lynfield, R and Reingold, A and Schaffner, W and Thompson, J and Brown, ST and Lee, BY and Harrison, LH (2013) Geotemporal analysis of Neisseria meningitidis clones in the United States: 2000-2005. PLoS ONE, 8 (12).

[img]
Preview
PDF
Published Version
Available under License : See the attached license file.

Download (588kB) | Preview
[img] Plain Text (licence)
Available under License : See the attached license file.

Download (1kB)

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. 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. 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. 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.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Wiringa, AEaew29@pitt.eduAEW29
Shutt, KAshuttk@pitt.eduSHUTTK
Marsh, JWjwmarsh@pitt.eduJWMARSH
Cohn, AC
Messonnier, NE
Zansky, SM
Petit, S
Farley, MM
Gershman, K
Lynfield, R
Reingold, A
Schaffner, W
Thompson, J
Brown, ST
Lee, BYbyl1@pitt.eduBYL1
Harrison, LHlharriso@edc.pitt.eduLHARRISO
Contributors:
ContributionContributors NameEmailPitt UsernameORCID
EditorBereswill, StefanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date: 12 December 2013
Date Type: Publication
Journal or Publication Title: PLoS ONE
Volume: 8
Number: 12
DOI or Unique Handle: 10.1371/journal.pone.0082048
Schools and Programs: Graduate School of Public Health > Epidemiology
Refereed: Yes
Date Deposited: 13 Jun 2014 18:57
Last Modified: 04 Feb 2019 19:55
URI: http://d-scholarship.pitt.edu/id/eprint/21852

Metrics

Monthly Views for the past 3 years

Plum Analytics

Altmetric.com


Actions (login required)

View Item View Item