Geotemporal Analysis of Neisseria meningitidis Clones in the United States: 2000-2005

被引:6
|
作者
Wiringa, Ann E. [1 ]
Shutt, Kathleen A. [2 ,3 ]
Marsh, Jane W. [2 ,3 ]
Cohn, Amanda C. [4 ]
Messonnier, Nancy E. [4 ]
Zansky, Shelley M. [5 ]
Petit, Susan [6 ]
Farley, Monica M. [7 ,8 ]
Gershman, Ken [9 ]
Lynfield, Ruth [10 ]
Reingold, Arthur [11 ]
Schaffner, William [12 ]
Thompson, Jamie [13 ]
Brown, Shawn T. [14 ]
Lee, Bruce Y. [15 ,16 ]
Harrison, Lee H. [2 ,3 ,17 ]
机构
[1] Univ Pittsburgh, Grad Sch Publ Hlth, Dept Epidemiol, Pittsburgh, PA USA
[2] Univ Pittsburgh, Grad Sch Publ Hlth, Infect Dis Epidemiol Res Unit, Pittsburgh, PA 15260 USA
[3] Univ Pittsburgh, Sch Med, Pittsburgh, PA USA
[4] Ctr Dis Control & Prevent, Meningitis & Vaccine Preventable Dis Branch, Div Bacterial Dis, Atlanta, GA USA
[5] New York State Dept Hlth, Albany, NY USA
[6] Connecticut Dept Publ Hlth, Hartford, CT USA
[7] Emory Univ, Atlanta, GA 30322 USA
[8] VA Med Ctr, Atlanta, GA USA
[9] Colorado Dept Publ Hlth & Environm, Denver, CO USA
[10] Minnesota Dept Hlth, St Paul, MN USA
[11] Univ Calif Berkeley, Berkeley, CA 94720 USA
[12] Vanderbilt Univ, Sch Med, Nashville, TN 37212 USA
[13] Oregon Publ Hlth Div, Portland, OR USA
[14] Carnegie Mellon Univ, Pittsburgh Supercomp Ctr, Pittsburgh, PA 15213 USA
[15] Univ Pittsburgh, Sch Med, Publ Hlth Computat & Operat Res PHICOR, Pittsburgh, PA USA
[16] Univ Pittsburgh, Grad Sch Publ Hlth, Pittsburgh, PA USA
[17] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Int Hlth, Baltimore, MD USA
来源
PLOS ONE | 2013年 / 8卷 / 12期
关键词
INVASIVE MENINGOCOCCAL DISEASE; OUTBREAK DETECTION; SURVEILLANCE; INFECTION; RISK;
D O I
10.1371/journal.pone.0082048
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
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页数:9
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