Repeat infection with Neisseria gonorrhoeae among active duty U.S. Army personnel: a population-based case-series study Article Swipe
Christian T. Bautista
,
Eyako Wurapa
,
Christian T. Bautista
,
Sara Morris
,
Bruce Hollingsworth
,
José L. Sánchez
·
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.1177/0956462416681940
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.1177/0956462416681940
Little information is known on the rate of repeat gonorrhea infection among U.S. military personnel. We analyzed all gonorrhea cases reported to the Defense Medical Surveillance System during 2006–2012 to determine the rate of repeat infection. During the seven-year study period, 17,602 active duty U.S. Army personnel with a first incident gonorrhea infection were reported. Among the 4987 women with a first gonorrhea infection, 14.4% had at least one repeat infection. Among the 12,615 men with a first gonorrhea infection, 13.7% had at least one repeat infection. Overall, the rate of repeat gonorrhea infection was 44.5 and 48.9 per 1000 person-years for women and men, respectively. Service members aged 17–19 years (hazard ratio [HR] for women = 1.51; HR for men = 1.71), African-American personnel (HR for women = 1.26; HR for men = 2.17), junior enlisted personnel (HR for women = 2.64; HR for men = 1.37), and those with one year or less of service (HR for women = 1.23; HR for men = 1.37) were at higher risk of repeat infection. The findings from this study highlight the need to develop targeted prevention initiatives including education, counseling, and retesting to prevent gonorrhea reinfections among U.S. Army personnel.
Related Topics
Concepts
Gonorrhea
Medicine
Neisseria gonorrhoeae
Military personnel
Active duty
Military service
Service personnel
Population
Hazard ratio
Gynecology
Internal medicine
Family medicine
Service (business)
Confidence interval
Environmental health
Human immunodeficiency virus (HIV)
Economy
Biology
Archaeology
Law
Political science
Economics
History
Microbiology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1177/0956462416681940
- https://journals.sagepub.com/doi/pdf/10.1177/0956462416681940
- OA Status
- hybrid
- Cited By
- 8
- References
- 15
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2555155346
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2555155346Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1177/0956462416681940Digital Object Identifier
- Title
-
Repeat infection with Neisseria gonorrhoeae among active duty U.S. Army personnel: a population-based case-series studyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2016Year of publication
- Publication date
-
2016-11-24Full publication date if available
- Authors
-
Christian T. Bautista, Eyako Wurapa, Christian T. Bautista, Sara Morris, Bruce Hollingsworth, José L. SánchezList of authors in order
- Landing page
-
https://doi.org/10.1177/0956462416681940Publisher landing page
- PDF URL
-
https://journals.sagepub.com/doi/pdf/10.1177/0956462416681940Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
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https://journals.sagepub.com/doi/pdf/10.1177/0956462416681940Direct OA link when available
- Concepts
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Gonorrhea, Medicine, Neisseria gonorrhoeae, Military personnel, Active duty, Military service, Service personnel, Population, Hazard ratio, Gynecology, Internal medicine, Family medicine, Service (business), Confidence interval, Environmental health, Human immunodeficiency virus (HIV), Economy, Biology, Archaeology, Law, Political science, Economics, History, MicrobiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
8Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 3, 2023: 1, 2022: 1, 2021: 2, 2019: 1Per-year citation counts (last 5 years)
- References (count)
-
15Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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