Using GIS technology to identify areas of tuberculosis transmission and incidence

Description:

This article discusses using GIS technology to identify areas of tuberculosis transmission and incidence.

Creator(s):
Creation Date: October 13, 2004
Partner(s):
UNT College of Arts and Sciences
Collection(s):
UNT Scholarly Works
Usage:
Total Uses: 59
Past 30 days: 2
Yesterday: 0
Creator (Author):
Moonan, Patrick K.

University of North Texas Health Science Center

Creator (Author):
Bayona, Manuel

University of North Texas Health Science Center

Creator (Author):
Quitugua, Teresa N.

University of Texas Health Science Center

Creator (Author):
Oppong, Joseph R.

University of North Texas

Creator (Author):
Dunbar, Denise

Texas Department of Health

Creator (Author):
Jost, Kenneth C.

Texas Department of Health

Creator (Author):
Burgess, Gerry

Tarrant County Public Health Department

Creator (Author):
Singh, Karan P.

University of North Texas Health Science Center

Creator (Author):
Weis, Stephen E.

University of North Texas Health Science Center; Tarrant County Public Health Department

Publisher Info:
Publisher Name: BioMed Central
Place of Publication: [London, United Kingdom]
Date(s):
  • Creation: October 13, 2004
Description:

This article discusses using GIS technology to identify areas of tuberculosis transmission and incidence.

Degree:
Department: Geography
Note:

Background: Currently in the U.S. it is recommended that tuberculosis screening and treatment programs be targeted at high-risk populations. While a strategy of targeted testing and treatment of persons most likely to develop tuberculosis is attractive, it is uncertain how best to accomplish this goal. In this study the authors seek to identify geographical areas where on-going tuberculosis transmission is occurring by linking Geographic Information Systems (GIS) technology with molecular surveillance. Methods: This cross-sectional analysis was performed on data collected on persons newly diagnosed with culture positive tuberculosis at the Tarrant County Health Department (TCHD) between January 1, 1993 and December 31, 2000. Clinical isolates were molecularly characterized using IS6 110-based RFLP analysis and spoligotyping methods to identify patients infected with the same strain. Residential addresses at the time of diagnosis of tuberculosis were geocoded and mapped according to strain characterization. Generalized estimating equations (GEE) analysis models were used to identify risk factors involved in clustering. Results: Evaluation of the spatial distribution of cases within zip-code boundaries identified distinct areas of geographical distribution of same strain disease. The authors identified these geographical areas as having increased likelihood of on-going transmission. Based on this evidence the authors plan to perform geographically based screening and treatment programs. Conclusion: Using GIS analysis combined with molecular epidemiological surveillance may be an effective method for identifying instances of local transmission. These methods can be used to enhance targeted screening and control efforts, with the goal of interruption of disease transmission and ultimately incidence reduction.

Physical Description:

10 p.

Language(s):
Subject(s):
Keyword(s): tuberculosis | geographic information systems | GIS | molecular epidemiological surveillance
Source: International Journal of Health Geographics, 2004, London: BioMed Central
Partner:
UNT College of Arts and Sciences
Collection:
UNT Scholarly Works
Identifier:
  • DOI: 10.1186/1476-072X-3-23 |
  • ARK: ark:/67531/metadc122162
Resource Type: Article
Format: Text
Rights:
Access: Public
Citation:
Publication Title: International Journal of Health Geographics
Volume: 3
Issue: 23
Peer Reviewed: Yes