Publication: Modelling Pathways for Outbreaks in Field Occupational Epidemiology
| dc.contributor.author | Maqueda-Blasco, Jeronimo | |
| dc.contributor.author | Silva, Agustín | |
| dc.contributor.author | Cortes-Barragan, Rosana | |
| dc.contributor.author | Gamo González, María Fe | |
| dc.date.accessioned | 2022-07-19T07:52:03Z | |
| dc.date.available | 2022-07-19T07:52:03Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | Background: The investigation of an occupational outbreak, once the index case has been identified, triggers a stress situation to epidemiologists. Modelling occupational outbreaks will be useful to guide the field investigation. Objective: To identify standard pathways for occupational epidemic outbreaks. Methods: In-depth critical appraisal of 57 occupational outbreaks. Standard pathways of occupational outbreaks were identified by analysing the similarity between out-breaks. The model’s accuracy and homogeneity were established through Fisher’s exact test and the Kappa Index. Results: The analysis allowed synthesizing the occupational outbreaks variability in 4 pathways. 92.98% of the analysed outbreaks could be allocated to one of those 4 types. The theoretical patterns showed a good adjustment with the analysed out-breaks: Type I (Kappa = 0.94 - 0.60), Type II (Kappa = 1.00), Type III (Kappa = 1.00 - 0.68) and Type IV (Kappa = 0.94 - 0.87). The probability of a given outbreak fitting with its three components in any of the theoretical pathways was 0.83. Conclusions: The incorporation of those pathways to the field occupational epidemiology will allow: 1) to provide early guidance to epidemiological, clinical and environmental studies focused on specific hypothesis of causality; 2) to anticipate preventive measures; 3) to contribute to an earlier and more efficient outbreak resolution. | es_ES |
| dc.description.peerreviewed | Sí | es_ES |
| dc.format.number | 04 | es_ES |
| dc.format.page | 91-112 | es_ES |
| dc.format.volume | 11 | es_ES |
| dc.identifier.citation | Open j. prev. med, 2021;11(4):91-112 | es_ES |
| dc.identifier.doi | 10.4236/ojpm.2021.114009 | es_ES |
| dc.identifier.e-issn | 2162-2485 | es_ES |
| dc.identifier.issn | 2162-2477 | es_ES |
| dc.identifier.journal | Open Journal of Preventive Medicine | es_ES |
| dc.identifier.uri | http://hdl.handle.net/20.500.12105/14727 | |
| dc.language.iso | eng | es_ES |
| dc.publisher | Scientific Research Publishing (SCIRP) | es_ES |
| dc.relation.publisherversion | https://doi.org/10.4236/ojpm.2021.114009 | es_ES |
| dc.repisalud.centro | ISCIII::Escuela Nacional de Medicina del Trabajo | es_ES |
| dc.repisalud.institucion | ISCIII | es_ES |
| dc.rights.accessRights | open access | es_ES |
| dc.rights.license | Atribución 4.0 Internacional | * |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
| dc.subject | Occupational Outbreak | es_ES |
| dc.subject | Occupational Diseases | es_ES |
| dc.subject | Working Exposure | es_ES |
| dc.subject | Field Epidemiology | es_ES |
| dc.title | Modelling Pathways for Outbreaks in Field Occupational Epidemiology | es_ES |
| dc.type | research article | es_ES |
| dc.type.hasVersion | VoR | es_ES |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 00a54652-0072-44e8-bfd0-b4494b3c7c50 | |
| relation.isAuthorOfPublication | 0e12e053-dd56-4f42-ab44-3f0dcd31c158 | |
| relation.isAuthorOfPublication | b05d03b6-2feb-4a84-8aa3-25d151e12f78 | |
| relation.isAuthorOfPublication.latestForDiscovery | 0e12e053-dd56-4f42-ab44-3f0dcd31c158 |
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