Geographical information system and spatial–temporal statistics for monitoring infectious agents in hospital: a model using Klebsiella pneumoniae complex
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2021 |
| Outros Autores: | , , , , , , , , , , |
| Tipo de documento: | Artigo |
| Idioma: | eng |
| Título da fonte: | Repositório Institucional da FIOCRUZ (ARCA) |
| Texto Completo: | https://www.arca.fiocruz.br/handle/icict/48273 |
Resumo: | Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Genética Molecular de Microrganismos. Rio de Janeiro, RJ, Brasil. |
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Silva, Priscila Pinho daSilva, Fabiola A. daRodrigues, Caio Augusto SantosSouza, Leonardo PassosLima, Elisangela Martins dePereira, Maria Helena BCandella, Claudio NederAlves, Marcio Zenaide de OliveiraLourenço, Newton D.Tassinari, Wagner SBarcellos, Christovam de CastroGomes, Marisa Zenaide Ribeiro2021-07-18T13:20:37Z2021-07-18T13:20:37Z2021SILVA, Priscila Pinho da et al. Geographical information system and spatial–temporal statistics for monitoring infectious agents in hospital: a model using Klebsiella pneumoniae complex. Antimicrobial Resistance and Infection Control, v. 10, n. 92, p. 1-12, 2021.2047-2997https://www.arca.fiocruz.br/handle/icict/4827310.1186/s13756-021-00944-5engBMCKlebsiella pneumoniaeVigilânciaResistência antimicrobianaInfecção hospitalarSérie temporalSistema de informações geográficasEstatísticas temporais espaciaisSurveillanceHospital infectionAntimicrobial resistanceKlebsiella pneumoniaeTime seriesGeographic information systemSpatial temporal statisticsGeographical information system and spatial–temporal statistics for monitoring infectious agents in hospital: a model using Klebsiella pneumoniae complexinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleFundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Genética Molecular de Microrganismos. Rio de Janeiro, RJ, Brasil.Hospital Federal dos Servidores do Estado. Departamento de Engenharia. Rio de Janeiro, RJ, Brasil / Universidade do Estado do Rio de Janeiro. Rio de Janeiro, RJ, Brasil.Hospital Federal dos Servidores do Estado. Laboratório de Microbiologia. Rio de Janeiro, RJ, Brasil.Hospital Federal dos Servidores do Estado. Laboratório de Microbiologia. Rio de Janeiro, RJ, Brasil.Hospital Federal dos Servidores do Estado. Comitê de Controle de Infecções. Rio de Janeiro, RJ, Brasil.Hospital Federal dos Servidores do Estado. Setor de Admissão. Rio de Janeiro, RJ, Brasil.Hospital Federal dos Servidores do Estado. Departamento de Engenharia. Rio de Janeiro, RJ, BrasilHospital Federal dos Servidores do Estado. Comitê de Controle de Infecções. Rio de Janeiro, RJ, Brasil.Hospital Federal dos Servidores do Estado. Laboratório de Microbiologia. Rio de Janeiro, RJ, Brasil.Universidade Federal Rural do Rio de Janeiro. Departamento de Matemárica. Seropédica, RJ, Brasil / Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Rio de Janeiro, RJ, Brasil..Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Rio de janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Genética Molecular de Microrganismos. Rio de Janeiro, RJ, Brasil / Hospital Federal dos Servidores do Estado. Comitê de Controle de Infecções. Rio de Janeiro, RJ, Brasil.Background: The emergence and spread of antimicrobial resistance and infectious agents have challenged hospitals in recent decades. Our aim was to investigate the circulation of target infectious agents using Geographic Information System (GIS) and spatial–temporal statistics to improve surveillance and control of healthcare-associated infection and of antimicrobial resistance (AMR), using Klebsiella pneumoniae complex as a model. Methods: A retrospective study carried out in a 450-bed federal, tertiary hospital, located in Rio de Janeiro. All isolates of K. pneumoniae complex from clinical and surveillance cultures of hospitalized patients between 2014 and 2016, identifed by the use of Vitek-2 system (BioMérieux), were extracted from the hospital’s microbiology labora tory database. A basic scaled map of the hospital’s physical structure was created in AutoCAD and converted to QGis software (version 2.18). Thereafter, bacteria according to resistance profles and patients with carbapenem-resistant K. pneumoniae (CRKp) complex were georeferenced by intensive and nonintensive care wards. Space–time permutation probability scan tests were used for cluster signals detection. Results: Of the total 759 studied isolates, a signifcant increase in the resistance profle of K. pneumoniae complex was detected during the studied years. We also identifed two space–time clusters afecting adult and paediatric patients harbouring CRKp complex on diferent foors, unnoticed by regular antimicrobial resistance surveillance. Conclusions: In-hospital GIS with space–time statistical analysis can be applied in hospitals. This spatial methodol ogy has the potential to expand and facilitate early detection of hospital outbreaks and may become a new tool in combating AMR or hospital-acquired infection.info:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; charset=utf-82991https://www.arca.fiocruz.br/bitstream/icict/48273/1/license.txt5a560609d32a3863062d77ff32785d58MD51ORIGINALPriscilaP_Silva_etal_IOC_2021.pdfPriscilaP_Silva_etal_IOC_2021.pdfapplication/pdf1732282https://www.arca.fiocruz.br/bitstream/icict/48273/2/PriscilaP_Silva_etal_IOC_2021.pdf08f6707897e16421f126c8b40b69cb6dMD52TEXTPriscilaP_Silva_etal_IOC_2021.pdf.txtPriscilaP_Silva_etal_IOC_2021.pdf.txtExtracted texttext/plain61087https://www.arca.fiocruz.br/bitstream/icict/48273/3/PriscilaP_Silva_etal_IOC_2021.pdf.txtac3eb92debdee5caaf661cc2d653282eMD53icict/482732022-05-13 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| dc.title.pt_BR.fl_str_mv |
Geographical information system and spatial–temporal statistics for monitoring infectious agents in hospital: a model using Klebsiella pneumoniae complex |
| title |
Geographical information system and spatial–temporal statistics for monitoring infectious agents in hospital: a model using Klebsiella pneumoniae complex |
| spellingShingle |
Geographical information system and spatial–temporal statistics for monitoring infectious agents in hospital: a model using Klebsiella pneumoniae complex Silva, Priscila Pinho da Klebsiella pneumoniae Vigilância Resistência antimicrobiana Infecção hospitalar Série temporal Sistema de informações geográficas Estatísticas temporais espaciais Surveillance Hospital infection Antimicrobial resistance Klebsiella pneumoniae Time series Geographic information system Spatial temporal statistics |
| title_short |
Geographical information system and spatial–temporal statistics for monitoring infectious agents in hospital: a model using Klebsiella pneumoniae complex |
| title_full |
Geographical information system and spatial–temporal statistics for monitoring infectious agents in hospital: a model using Klebsiella pneumoniae complex |
| title_fullStr |
Geographical information system and spatial–temporal statistics for monitoring infectious agents in hospital: a model using Klebsiella pneumoniae complex |
| title_full_unstemmed |
Geographical information system and spatial–temporal statistics for monitoring infectious agents in hospital: a model using Klebsiella pneumoniae complex |
| title_sort |
Geographical information system and spatial–temporal statistics for monitoring infectious agents in hospital: a model using Klebsiella pneumoniae complex |
| author |
Silva, Priscila Pinho da |
| author_facet |
Silva, Priscila Pinho da Silva, Fabiola A. da Rodrigues, Caio Augusto Santos Souza, Leonardo Passos Lima, Elisangela Martins de Pereira, Maria Helena B Candella, Claudio Neder Alves, Marcio Zenaide de Oliveira Lourenço, Newton D. Tassinari, Wagner S Barcellos, Christovam de Castro Gomes, Marisa Zenaide Ribeiro |
| author_role |
author |
| author2 |
Silva, Fabiola A. da Rodrigues, Caio Augusto Santos Souza, Leonardo Passos Lima, Elisangela Martins de Pereira, Maria Helena B Candella, Claudio Neder Alves, Marcio Zenaide de Oliveira Lourenço, Newton D. Tassinari, Wagner S Barcellos, Christovam de Castro Gomes, Marisa Zenaide Ribeiro |
| author2_role |
author author author author author author author author author author author |
| dc.contributor.author.fl_str_mv |
Silva, Priscila Pinho da Silva, Fabiola A. da Rodrigues, Caio Augusto Santos Souza, Leonardo Passos Lima, Elisangela Martins de Pereira, Maria Helena B Candella, Claudio Neder Alves, Marcio Zenaide de Oliveira Lourenço, Newton D. Tassinari, Wagner S Barcellos, Christovam de Castro Gomes, Marisa Zenaide Ribeiro |
| dc.subject.other.pt_BR.fl_str_mv |
Klebsiella pneumoniae Vigilância Resistência antimicrobiana Infecção hospitalar Série temporal Sistema de informações geográficas Estatísticas temporais espaciais |
| topic |
Klebsiella pneumoniae Vigilância Resistência antimicrobiana Infecção hospitalar Série temporal Sistema de informações geográficas Estatísticas temporais espaciais Surveillance Hospital infection Antimicrobial resistance Klebsiella pneumoniae Time series Geographic information system Spatial temporal statistics |
| dc.subject.en.pt_BR.fl_str_mv |
Surveillance Hospital infection Antimicrobial resistance Klebsiella pneumoniae Time series Geographic information system Spatial temporal statistics |
| description |
Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Genética Molecular de Microrganismos. Rio de Janeiro, RJ, Brasil. |
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2021 |
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2021-07-18T13:20:37Z |
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2021-07-18T13:20:37Z |
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2021 |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
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article |
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SILVA, Priscila Pinho da et al. Geographical information system and spatial–temporal statistics for monitoring infectious agents in hospital: a model using Klebsiella pneumoniae complex. Antimicrobial Resistance and Infection Control, v. 10, n. 92, p. 1-12, 2021. |
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https://www.arca.fiocruz.br/handle/icict/48273 |
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2047-2997 |
| dc.identifier.doi.none.fl_str_mv |
10.1186/s13756-021-00944-5 |
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SILVA, Priscila Pinho da et al. Geographical information system and spatial–temporal statistics for monitoring infectious agents in hospital: a model using Klebsiella pneumoniae complex. Antimicrobial Resistance and Infection Control, v. 10, n. 92, p. 1-12, 2021. 2047-2997 10.1186/s13756-021-00944-5 |
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