Please use this identifier to cite or link to this item: http://sgc.anlis.gob.ar/handle/123456789/540
Title: Automated use of WHONET and SaTScan to detect outbreaks of Shigella spp. using antimicrobial resistance phenotypes
Authors: Stelling, J. 
Yih, WK. 
Galas, Marcelo F. 
Kulldorff, M. 
Pichel, Mariana 
Terragno, R. 
Tuduri, Ezequiel 
Espetxe, S 
Binsztein, Norma 
O’Brien, TF. 
Platt, R. 
Keywords: Shigella;Disentería Bacilar;Brotes de Enfermedades;Análisis por Conglomerados;Farmacorresistencia Bacteriana
Issue Date: 2010
Journal: Epidemiology and infection 
Abstract: 
Antimicrobial resistance is a priority emerging public health threat, and the ability to detect promptly outbreaks caused by resistant pathogens is critical for resistance containment and disease control efforts. We describe and evaluate the use of an electronic laboratory data system (WHONET) and a space-time permutation scan statistic for semi-automated disease outbreak detection. In collaboration with WHONET-Argentina, the national network for surveillance of antimicrobial resistance, we applied the system to the detection of local and regional outbreaks of Shigella spp. We searched for clusters on the basis of genus, species, and resistance phenotype and identified 19 statistical 'events' in a 12-month period. Of the six known outbreaks reported to the Ministry of Health, four had good or suggestive agreement with SaTScan-detected events. The most discriminating analyses were those involving resistance phenotypes. Electronic laboratory-based disease surveillance incorporating statistical cluster detection methods can enhance infectious disease outbreak detection and response.
Description: 
Fil: Stelling, J. WHO Collaborating Centre for Surveillance of Antimicrobial Resistance. Brigham and Women's Hospital. Departmen of Medicine; Boston, Estados Unidos.

Fil: Yih, WK. Harvard Medica School and Harvard Pilgrim Health Care Institute. Department of Population Medicine; Boston, Estados Unidos.

Fil: Galas, Marcelo F. Ministerio de Salud. Dirección Epidemiologia; Argentina.

Fil: Kulldorff, M. Harvard Medica School and Harvard Pilgrim Health Care Institute. Department of Population Medicine; Boston, Estados Unidos.

Fil: Pichel, Mariana. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas. Departamento Bacteriología; Argentina.

Fil: Terragno, R. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas. Departamento Bacteriología; Argentina.

Fil: Tuduri, Ezequiel. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas. Departamento Bacteriología; Argentina.

Fil: Espetxe, S. Ministerio de Salud. Dirección Epidemiologia; Argentina.

Fil: Binsztein, Norma. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas. Departamento Bacteriología; Argentina.

Fil: O’Brien, TF. WHO Collaborating Centre for Surveillance of Antimicrobial Resistance. Brigham and Women's Hospital. Departmen of Medicine; Boston, Estados Unidos.

Fil: Platt, R. Harvard Medica School and Harvard Pilgrim Health Care Institute. Department of Population Medicine; Boston, Estados Unidos.
URI: http://sgc.anlis.gob.ar/handle/123456789/540
ISSN: 0950-2688
DOI: https://doi.org/10.1017/s0950268809990884
Rights: Open Access
Creative Commons Attribution 4.0 International License
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