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dc.contributor.authorValladares-Garrido, Mario J.es_ES
dc.contributor.authorFailoc-Rojas, Virgilio E.es_ES
dc.contributor.authorSoto-Becerra, Percyes_ES
dc.contributor.authorZeña-Ñañez, Sandraes_ES
dc.contributor.authorTorres-Roman, J. Smithes_ES
dc.contributor.authorFernández-Mogollón, Jorge L.es_ES
dc.contributor.authorColchado-Palacios, Irina G.es_ES
dc.contributor.authorApolaya-Segura, Carlos E.es_ES
dc.contributor.authorDávila-Gonzales, Jhoni A.es_ES
dc.contributor.authorArce-Villalobos, Laura R.es_ES
dc.contributor.authorNeciosup-Puican, Roxana del Pilares_ES
dc.contributor.authorCalvay-Requejo, Alexander G.es_ES
dc.contributor.authorMaguiña, Jorge L.es_ES
dc.contributor.authorApolaya-Segura, Moiséses_ES
dc.contributor.authorDíaz-Vélez, Cristianes_ES
dc.date.accessioned2023-01-24T20:46:14Z
dc.date.available2023-01-24T20:46:14Z
dc.date.issued2022-07-18
dc.identifier.urihttps://hdl.handle.net/20.500.13053/7687
dc.description.abstract“Objectives: To identify differences in the clinical and epidemiologic characteristics of patients during the first and second waves of the COVID-19 pandemic at the EsSalud Lambayeque health care network, Peru. Methods: An analytical cross-sectional study of 53,912 patients enrolled during the first and second waves of COVID-19 was conducted. Cluster analysis based on clustering large applications (CLARA) was applied to clinical-epidemiologic data presented at the time of care. The two pandemic waves were compared using clinical-epidemiologic data from epidemiologic surveillance. Results: Cluster analysis identified four COVID-19 groups with a characteristic pattern. Cluster 1 included the largest number of participants in both waves, and the participants were predominantly female. Cluster 2 included patients with gastrointestinal, respiratory, and systemic symptoms. Cluster 3 was the “severe” cluster, characterized by older adults and patients with dyspnea or comorbidities (cardiovascular, diabetes, obesity). Cluster 4 included asymptomatic, pregnant, and less severe patients. We found differences in all clinical-epidemiologic characteristics according to the cluster to which they belonged. Conclusion: Using cluster analysis, we identified characteristic patterns in each group. Respiratory, gastrointestinal, dyspnea, anosmia, and ageusia symptoms were higher in the second COVID-19 wave than the first COVID-19 wave“es_ES
dc.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherElsevier Ltdes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/es_ES
dc.subjectCOVID-19 Cluster analysis Coronavirus infection Pandemic wave Symptoms Perues_ES
dc.titleClinical-epidemiologic variation in patients treated in the first and second wave of COVID-19 in Lambayeque, Peru: A cluster analysises_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.identifier.doihttps://doi.org/10.1016/j.ijid.2022.07.045es_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.publisher.countryNLes_ES
dc.subject.ocdehttp://purl.org/pe-repo/ocde/ford#3.03.00es_ES


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