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artículo
Introducción: El Perú fue considerado la mayor tasa de letalidad por COVID-19 (9.39%); siendo Lambayeque en julio del 2020 presentó seroprevalencias más altas reportadas en el mundo para SARS-CoV-2 con 29,5%. Objetivo. Describir la experiencia de la estrategia implementada por Equipos de Respuesta Rápida y Seguimiento Clínico de Casos de COVID-19 (ERSC) para reducir la letalidad por COVID-19 durante la primera ola en el 2020. Descripción de la estrategia. Se realizó una investigación operativa en una cohorte retrospectiva. La población estudiada estuvo conformada por los casos COVID-19 sospechosos y confirmados durante el periodo abril-diciembre 2020, atendidos en la Red Asistencial de Lambayeque. La metodología se llevó a cabo bajo la Implementación y funcionamiento de los ERSC que realizaban la Vigilancia Epidemiológica, rastreo y seguimiento clínico domiciliario de los ...
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artículo
“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 ...
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artículo
“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 ...
4
artículo
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 “...
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