Laboratory-based prospective surveillance for community outbreaks of Shigella spp. in Argentina.
To implement effective control measures, timely outbreak detection is essential. Shigella is the most common cause of bacterial diarrhea in Argentina. Highly resistant clones of Shigella have emerged, and outbreaks have been recognized in closed settings and in whole communities. We hereby report ou...
Published in: | PLoS Neglected Tropical Diseases |
---|---|
Main Authors: | , , , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Public Library of Science (PLoS)
2013
|
Subjects: | |
Online Access: | https://doi.org/10.1371/journal.pntd.0002521 https://doaj.org/article/a5bff2d100b3489f8725ccf89cdec932 |
id |
ftdoajarticles:oai:doaj.org/article:a5bff2d100b3489f8725ccf89cdec932 |
---|---|
record_format |
openpolar |
spelling |
ftdoajarticles:oai:doaj.org/article:a5bff2d100b3489f8725ccf89cdec932 2023-05-15T15:14:53+02:00 Laboratory-based prospective surveillance for community outbreaks of Shigella spp. in Argentina. María R Viñas Ezequiel Tuduri Alicia Galar Katherine Yih Mariana Pichel John Stelling Silvina P Brengi Anabella Della Gaspera Claudia van der Ploeg Susana Bruno Ariel Rogé María I Caffer Martin Kulldorff Marcelo Galas Group MIDAS - Argentina 2013-01-01T00:00:00Z https://doi.org/10.1371/journal.pntd.0002521 https://doaj.org/article/a5bff2d100b3489f8725ccf89cdec932 EN eng Public Library of Science (PLoS) http://europepmc.org/articles/PMC3861122?pdf=render https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0002521 https://doaj.org/article/a5bff2d100b3489f8725ccf89cdec932 PLoS Neglected Tropical Diseases, Vol 7, Iss 12, p e2521 (2013) Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 article 2013 ftdoajarticles https://doi.org/10.1371/journal.pntd.0002521 2022-12-31T08:44:01Z To implement effective control measures, timely outbreak detection is essential. Shigella is the most common cause of bacterial diarrhea in Argentina. Highly resistant clones of Shigella have emerged, and outbreaks have been recognized in closed settings and in whole communities. We hereby report our experience with an evolving, integrated, laboratory-based, near real-time surveillance system operating in six contiguous provinces of Argentina during April 2009 to March 2012.To detect localized shigellosis outbreaks timely, we used the prospective space-time permutation scan statistic algorithm of SaTScan, embedded in WHONET software. Twenty three laboratories sent updated Shigella data on a weekly basis to the National Reference Laboratory. Cluster detection analysis was performed at several taxonomic levels: for all Shigella spp., for serotypes within species and for antimicrobial resistance phenotypes within species. Shigella isolates associated with statistically significant signals (clusters in time/space with recurrence interval ≥365 days) were subtyped by pulsed field gel electrophoresis (PFGE) using PulseNet protocols.In three years of active surveillance, our system detected 32 statistically significant events, 26 of them identified before hospital staff was aware of any unexpected increase in the number of Shigella isolates. Twenty-six signals were investigated by PFGE, which confirmed a close relationship among the isolates for 22 events (84.6%). Seven events were investigated epidemiologically, which revealed links among the patients. Seventeen events were found at the resistance profile level. The system detected events of public health importance: infrequent resistance profiles, long-lasting and/or re-emergent clusters and events important for their duration or size, which were reported to local public health authorities.The WHONET-SaTScan system may serve as a model for surveillance and can be applied to other pathogens, implemented by other networks, and scaled up to national and international ... Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Argentina PLoS Neglected Tropical Diseases 7 12 e2521 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
spellingShingle |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 María R Viñas Ezequiel Tuduri Alicia Galar Katherine Yih Mariana Pichel John Stelling Silvina P Brengi Anabella Della Gaspera Claudia van der Ploeg Susana Bruno Ariel Rogé María I Caffer Martin Kulldorff Marcelo Galas Group MIDAS - Argentina Laboratory-based prospective surveillance for community outbreaks of Shigella spp. in Argentina. |
topic_facet |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
description |
To implement effective control measures, timely outbreak detection is essential. Shigella is the most common cause of bacterial diarrhea in Argentina. Highly resistant clones of Shigella have emerged, and outbreaks have been recognized in closed settings and in whole communities. We hereby report our experience with an evolving, integrated, laboratory-based, near real-time surveillance system operating in six contiguous provinces of Argentina during April 2009 to March 2012.To detect localized shigellosis outbreaks timely, we used the prospective space-time permutation scan statistic algorithm of SaTScan, embedded in WHONET software. Twenty three laboratories sent updated Shigella data on a weekly basis to the National Reference Laboratory. Cluster detection analysis was performed at several taxonomic levels: for all Shigella spp., for serotypes within species and for antimicrobial resistance phenotypes within species. Shigella isolates associated with statistically significant signals (clusters in time/space with recurrence interval ≥365 days) were subtyped by pulsed field gel electrophoresis (PFGE) using PulseNet protocols.In three years of active surveillance, our system detected 32 statistically significant events, 26 of them identified before hospital staff was aware of any unexpected increase in the number of Shigella isolates. Twenty-six signals were investigated by PFGE, which confirmed a close relationship among the isolates for 22 events (84.6%). Seven events were investigated epidemiologically, which revealed links among the patients. Seventeen events were found at the resistance profile level. The system detected events of public health importance: infrequent resistance profiles, long-lasting and/or re-emergent clusters and events important for their duration or size, which were reported to local public health authorities.The WHONET-SaTScan system may serve as a model for surveillance and can be applied to other pathogens, implemented by other networks, and scaled up to national and international ... |
format |
Article in Journal/Newspaper |
author |
María R Viñas Ezequiel Tuduri Alicia Galar Katherine Yih Mariana Pichel John Stelling Silvina P Brengi Anabella Della Gaspera Claudia van der Ploeg Susana Bruno Ariel Rogé María I Caffer Martin Kulldorff Marcelo Galas Group MIDAS - Argentina |
author_facet |
María R Viñas Ezequiel Tuduri Alicia Galar Katherine Yih Mariana Pichel John Stelling Silvina P Brengi Anabella Della Gaspera Claudia van der Ploeg Susana Bruno Ariel Rogé María I Caffer Martin Kulldorff Marcelo Galas Group MIDAS - Argentina |
author_sort |
María R Viñas |
title |
Laboratory-based prospective surveillance for community outbreaks of Shigella spp. in Argentina. |
title_short |
Laboratory-based prospective surveillance for community outbreaks of Shigella spp. in Argentina. |
title_full |
Laboratory-based prospective surveillance for community outbreaks of Shigella spp. in Argentina. |
title_fullStr |
Laboratory-based prospective surveillance for community outbreaks of Shigella spp. in Argentina. |
title_full_unstemmed |
Laboratory-based prospective surveillance for community outbreaks of Shigella spp. in Argentina. |
title_sort |
laboratory-based prospective surveillance for community outbreaks of shigella spp. in argentina. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2013 |
url |
https://doi.org/10.1371/journal.pntd.0002521 https://doaj.org/article/a5bff2d100b3489f8725ccf89cdec932 |
geographic |
Arctic Argentina |
geographic_facet |
Arctic Argentina |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
PLoS Neglected Tropical Diseases, Vol 7, Iss 12, p e2521 (2013) |
op_relation |
http://europepmc.org/articles/PMC3861122?pdf=render https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0002521 https://doaj.org/article/a5bff2d100b3489f8725ccf89cdec932 |
op_doi |
https://doi.org/10.1371/journal.pntd.0002521 |
container_title |
PLoS Neglected Tropical Diseases |
container_volume |
7 |
container_issue |
12 |
container_start_page |
e2521 |
_version_ |
1766345287249428480 |