Using GIS technology to identify areas of tuberculosis transmission and incidence

Patrick K. Moonan, Manuel Bayona, Teresa N. Quitugua, Joseph Oppong, Denise Dunbar, Kenneth C. Jost, Gerry Burgess, Karan P. Singh, Stephen Weis

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Abstract

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 we 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 perons 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 IS6110-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. We identified these geographical areas as having increased likelihood of on-going transmission. Based on this evidence we 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.

Original languageEnglish
Article number23
JournalInternational Journal of Health Geographics
Volume3
DOIs
StatePublished - 13 Oct 2004

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Geographic Information Systems
Geographic information systems
Tuberculosis
Technology
Screening
Incidence
Geographical distribution
Geographic Mapping
Spatial distribution
Systems Analysis
Restriction Fragment Length Polymorphisms
Systems analysis
Health
Cluster Analysis
Therapeutics
Cross-Sectional Studies
Testing

Cite this

Moonan, Patrick K. ; Bayona, Manuel ; Quitugua, Teresa N. ; Oppong, Joseph ; Dunbar, Denise ; Jost, Kenneth C. ; Burgess, Gerry ; Singh, Karan P. ; Weis, Stephen. / Using GIS technology to identify areas of tuberculosis transmission and incidence. In: International Journal of Health Geographics. 2004 ; Vol. 3.
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abstract = "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 we 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 perons 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 IS6110-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. We identified these geographical areas as having increased likelihood of on-going transmission. Based on this evidence we 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.",
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Moonan, PK, Bayona, M, Quitugua, TN, Oppong, J, Dunbar, D, Jost, KC, Burgess, G, Singh, KP & Weis, S 2004, 'Using GIS technology to identify areas of tuberculosis transmission and incidence', International Journal of Health Geographics, vol. 3, 23. https://doi.org/10.1186/1476-072X-3-23

Using GIS technology to identify areas of tuberculosis transmission and incidence. / Moonan, Patrick K.; Bayona, Manuel; Quitugua, Teresa N.; Oppong, Joseph; Dunbar, Denise; Jost, Kenneth C.; Burgess, Gerry; Singh, Karan P.; Weis, Stephen.

In: International Journal of Health Geographics, Vol. 3, 23, 13.10.2004.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - Using GIS technology to identify areas of tuberculosis transmission and incidence

AU - Moonan, Patrick K.

AU - Bayona, Manuel

AU - Quitugua, Teresa N.

AU - Oppong, Joseph

AU - Dunbar, Denise

AU - Jost, Kenneth C.

AU - Burgess, Gerry

AU - Singh, Karan P.

AU - Weis, Stephen

PY - 2004/10/13

Y1 - 2004/10/13

N2 - 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 we 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 perons 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 IS6110-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. We identified these geographical areas as having increased likelihood of on-going transmission. Based on this evidence we 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.

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JO - International Journal of Health Geographics

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