Matching HIV, tuberculosis, viral hepatitis, and sexually transmitted diseases surveillance data, 2000-2010: Identification of infectious disease syndemics in New York City

Ann Drobnik, Jessie Pinchoff, Greta Bushnell, Sonny Ly, Julie Yuan, Jay K. Varma, Jennifer Fuld

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

Context: In 2012, the New York City Department of Health and Mental Hygiene matched HIV, tuberculosis, viral hepatitis, and sexually transmitted disease surveillance data to identify the burden of infection with multiple diseases. METHODS: HIV, tuberculosis, hepatitis B, hepatitis C, chlamydia, gonorrhea, and syphilis surveillance data from 2000 to 2010 were matched using a deterministic method. Data on deaths from the Department of Health and Mental Hygienes Office of Vital Statistics were also matched. Results: The final data set contained 840,248 people; 13%had 2 or more diseases. People with a report of syphilis had the highest proportion of matches with other diseases (64%), followed by gonorrhea (52%), HIV (31%), tuberculosis (23%), hepatitis C (20%), chlamydia (16%), and hepatitis B (11%). CONCLUSIONS: The findings indicate several possible infectious disease syndemics in New York City and highlight the need to integrate surveillance data from different infectious disease programs. Conducting the match brought surveillance programs together to work collaboratively and has resulted in ongoing partnerships on programmatic activities that address multiple diseases.

Original languageEnglish (US)
Pages (from-to)506-512
Number of pages7
JournalJournal of Public Health Management and Practice
Volume20
Issue number5
DOIs
StatePublished - 2014
Externally publishedYes

ASJC Scopus subject areas

  • Health Policy
  • Public Health, Environmental and Occupational Health

Keywords

  • HIV/AIDS
  • deterministic matching
  • hepatitis B
  • hepatitis C
  • sexually transmitted diseases
  • surveillance
  • tuberculosis

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