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Geotemporal Analysis of Neisseria meningitidis Clones in the United States: 2000–2005
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 meningococc...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3861328/ https://www.ncbi.nlm.nih.gov/pubmed/24349182 http://dx.doi.org/10.1371/journal.pone.0082048 |
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author | Wiringa, Ann E. Shutt, Kathleen A. Marsh, Jane W. Cohn, Amanda C. Messonnier, Nancy E. Zansky, Shelley M. Petit, Susan Farley, Monica M. Gershman, Ken Lynfield, Ruth Reingold, Arthur Schaffner, William Thompson, Jamie Brown, Shawn T. Lee, Bruce Y. Harrison, Lee H. |
author_facet | Wiringa, Ann E. Shutt, Kathleen A. Marsh, Jane W. Cohn, Amanda C. Messonnier, Nancy E. Zansky, Shelley M. Petit, Susan Farley, Monica M. Gershman, Ken Lynfield, Ruth Reingold, Arthur Schaffner, William Thompson, Jamie Brown, Shawn T. Lee, Bruce Y. Harrison, Lee H. |
author_sort | Wiringa, Ann E. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3861328 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-38613282013-12-17 Geotemporal Analysis of Neisseria meningitidis Clones in the United States: 2000–2005 Wiringa, Ann E. Shutt, Kathleen A. Marsh, Jane W. Cohn, Amanda C. Messonnier, Nancy E. Zansky, Shelley M. Petit, Susan Farley, Monica M. Gershman, Ken Lynfield, Ruth Reingold, Arthur Schaffner, William Thompson, Jamie Brown, Shawn T. Lee, Bruce Y. Harrison, Lee H. PLoS One Research Article 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. Public Library of Science 2013-12-12 /pmc/articles/PMC3861328/ /pubmed/24349182 http://dx.doi.org/10.1371/journal.pone.0082048 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. |
spellingShingle | Research Article Wiringa, Ann E. Shutt, Kathleen A. Marsh, Jane W. Cohn, Amanda C. Messonnier, Nancy E. Zansky, Shelley M. Petit, Susan Farley, Monica M. Gershman, Ken Lynfield, Ruth Reingold, Arthur Schaffner, William Thompson, Jamie Brown, Shawn T. Lee, Bruce Y. Harrison, Lee H. Geotemporal Analysis of Neisseria meningitidis Clones in the United States: 2000–2005 |
title | Geotemporal Analysis of Neisseria meningitidis Clones in the United States: 2000–2005 |
title_full | Geotemporal Analysis of Neisseria meningitidis Clones in the United States: 2000–2005 |
title_fullStr | Geotemporal Analysis of Neisseria meningitidis Clones in the United States: 2000–2005 |
title_full_unstemmed | Geotemporal Analysis of Neisseria meningitidis Clones in the United States: 2000–2005 |
title_short | Geotemporal Analysis of Neisseria meningitidis Clones in the United States: 2000–2005 |
title_sort | geotemporal analysis of neisseria meningitidis clones in the united states: 2000–2005 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3861328/ https://www.ncbi.nlm.nih.gov/pubmed/24349182 http://dx.doi.org/10.1371/journal.pone.0082048 |
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