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Demographic characterization and spatial cluster analysis of human Salmonella 1,4,[5],12:i:- infections in Portugal: A 10 year study

2018-03Journal article Open access
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dc.contributor.authorSeixas, R.
dc.contributor.authorNunes, T.
dc.contributor.authorMachado, J.
dc.contributor.authorTavares, L.
dc.contributor.authorOwen, S.P.
dc.contributor.authorBernardo, F.
dc.contributor.authorOliveira, M.
dc.date.accessioned2019-03-27T10:58:20Z
dc.date.available2019-03-27T10:58:20Z
dc.date.issued2018-03
dc.description.abstractSalmonella 1,4,[5],12:i:- is presently considered one of the major serovars responsible for human salmonellosis worldwide. Due to its recent emergence, studies assessing the demographic characterization and spatial epidemiology of salmonellosis 1,4,[5],12:i:- at local- or country-level are lacking. In this study, a analysis was conducted over a 10year period, from 2000 to the first quarter of 2011 at the Portuguese National Laboratory in Portugal mainland, with a total of 215 Salmonella 1,4,[5],12:i:- serotyped isolates obtained from human infections by a passive surveillance system. Data regarding source, year and month of sampling, gender, age, district and municipality of the patients were registered. Descriptive statistical analysis and a spatial scan statistic combined with a geographic information system were employed to characterize the epidemiology and identify spatial clusters. Results showed that most districts have reports of Salmonella 1,4,[5],12:i:-, with a higher number of cases at the Portuguese coastland, including districts like Porto (n=60, 27.9%), Lisboa (n=29, 13.5%) and Aveiro (n=28, 13.0%). An increased incidence was observed in the period from 2004 to 2011 and most infections occurred during May and October. Spatial analysis revealed 4 clusters of higher than expected infection rates. Three were located in the north of Portugal, including two at the coastland (Cluster 1 [RR=3.58, p≤0.001] and 4 [RR=10.42 p≤0.230]), and one at the countryside (Cluster 3 [RR=17.76, p≤0.001]). A larger cluster was detected involving the center and south of Portugal (Cluster 2 [RR=4.85, p≤0.001]). The present study was elaborated with data provided by a passive surveillance system, which may originate an underestimation of disease burden. However, this is the first report describing the incidence and the distribution of areas with higher risk of infection in Portugal, revealing that Salmonella 1,4,[5],12:i:- displayed a significant geographic clustering and these areas should be further evaluated to identify risk factors in order to establish prevention programs.pt_PT
dc.description.sponsorshipThis study was conducted with the financial support ofthe “Centro de Investigação Interdisciplinar em Sanidade Animal, Faculdade de Medicina Veterinária da Universidade de Lisboa”—Project UID/CVT/00276/2013 (funded by Foundation forScience and Technology—FCT). Rui Seixas holds a PhD fellowship (SFRH/BD/75836/2011) from FCT, Portugal.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationJ Infect Public Health. 2018 Mar-Apr;11(2):178-182. doi: 10.1016/j.jiph.2017.06.002. Epub 2017 Jun 30.pt_PT
dc.identifier.doi10.1016/j.jiph.2017.06.002pt_PT
dc.identifier.issn1876-0341
dc.identifier.urihttp://hdl.handle.net/10400.18/6322
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevier/ King Saud Bin Abdulaziz Universityfor Health Sciencespt_PT
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S1876034117301454?via%3Dihubpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectCitiespt_PT
dc.subjectCluster Analysispt_PT
dc.subjectDemographypt_PT
dc.subjectFemalept_PT
dc.subjectHumanspt_PT
dc.subjectIncidencept_PT
dc.subjectMalept_PT
dc.subjectPortugalpt_PT
dc.subjectRisk Factorspt_PT
dc.subjectSalmonellapt_PT
dc.subjectSalmonella Infectionspt_PT
dc.subjectSerogrouppt_PT
dc.subjectSpatial Analysispt_PT
dc.subjectGastrointestinal Infectionspt_PT
dc.subjectInfecções Gastrointestinaispt_PT
dc.titleDemographic characterization and spatial cluster analysis of human Salmonella 1,4,[5],12:i:- infections in Portugal: A 10 year studypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FCVT%2F00276%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/SFRH/SFRH%2FBD%2F75836%2F2011/PT
oaire.citation.endPage182pt_PT
oaire.citation.issue2pt_PT
oaire.citation.startPage178pt_PT
oaire.citation.titleJournal of Infection and Public Healthpt_PT
oaire.citation.volume11pt_PT
oaire.fundingStream5876
oaire.fundingStreamSFRH
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.embargofctPolítica editorial da revista.pt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isProjectOfPublication55874201-5b80-454f-84b5-d55e0fbd844a
relation.isProjectOfPublication4c79e7b8-7036-4550-b880-5e3e3c1980ce
relation.isProjectOfPublication.latestForDiscovery55874201-5b80-454f-84b5-d55e0fbd844a

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