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Accuracy of prospective space-time surveillance in detecting tuberculosis transmission.
- Source :
-
Spatial and spatio-temporal epidemiology [Spat Spatiotemporal Epidemiol] 2014 Apr; Vol. 8, pp. 47-54. Date of Electronic Publication: 2014 Jan 23. - Publication Year :
- 2014
-
Abstract
- To improve detection of tuberculosis transmission, public health can supplement contact tracing with space-time surveillance. However, investigation of space-time clusters not due to transmission (false alarms), may lead to costly, unnecessary interventions. We measured the accuracy of prospective space-time surveillance in detecting tuberculosis transmission, assessing the number of clusters containing transmission and the false alarm rate. We simulated monthly prospective applications of a scan statistic using the home addresses and diagnosis dates of all 1566 culture-positive TB cases reported in Montreal during 1996-2007. We verified transmission within the space-time clusters by analyzing the TB genotype. Over 11.5 years, at 1.3 false alarms per month, we detected 89 transmission chains; at 0.05 false alarms per month we detected 5 transmission chains. We found evidence that prospective space-time surveillance for TB leads to a high false alarm rate, limiting its practical utility in settings with TB epidemiology similar to Montreal.<br /> (Copyright © 2014 Elsevier Ltd. All rights reserved.)
- Subjects :
- Canada epidemiology
Communicable Disease Control methods
Communicable Disease Control statistics & numerical data
Dimensional Measurement Accuracy
Genotyping Techniques
Humans
Models, Statistical
Needs Assessment
Public Health Surveillance
Space-Time Clustering
Spatio-Temporal Analysis
Contact Tracing methods
Contact Tracing statistics & numerical data
Mycobacterium tuberculosis genetics
Mycobacterium tuberculosis isolation & purification
Tuberculosis diagnosis
Tuberculosis epidemiology
Tuberculosis prevention & control
Tuberculosis transmission
Subjects
Details
- Language :
- English
- ISSN :
- 1877-5853
- Volume :
- 8
- Database :
- MEDLINE
- Journal :
- Spatial and spatio-temporal epidemiology
- Publication Type :
- Academic Journal
- Accession number :
- 24606994
- Full Text :
- https://doi.org/10.1016/j.sste.2014.01.003