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Which curve provides the best explanation of the growth in confirmed COVID-19 cases in Chile?
Díaz-Narváez, Víctor; San-Martín-Roldán, David; Calzadilla-Núñez, Aracelis; San-Martín-Roldán, Pablo; Parody-Muñoz, Alexander; Robledo-Veloso, Gonzalo.
Afiliación
  • Díaz-Narváez V; Universidad Andres Bello, Facultad de Odontología, Santiago, Chile.
  • San-Martín-Roldán D; Universidad de Valparaíso, Facultad de Medicina, Escuela de Obstetricia y Puericultura, Valparaíso, Chile.
  • Calzadilla-Núñez A; Universidad Bernardo OHiggins, Facultad de Salud, Santiago, Chile.
  • San-Martín-Roldán P; Universidad Mayor, Facultad de Ciencias, Escuela de Nutrición y Dietética, Santiago, Chile.
  • Parody-Muñoz A; Universidad Metropolitana, Barranquilla, Colombia.
  • Robledo-Veloso G; Universidad de Chile, Facultad de Ciencias, Santiago, Chile.
Rev Lat Am Enfermagem ; 28: e3346, 2020.
Article en En, Pt, Es | MEDLINE | ID: mdl-32609283
OBJECTIVE: to explore the best type of curve or trend model that could explain the epidemiological behavior of the infection by COVID-19 and derive the possible causes that contribute to explain the corresponding model and the health implications that can be inferred. METHOD: data were collected from the COVID-19 reports of the Department of Epidemiology, Ministry of Health, Chile. Curve adjustment studies were developed with the data in four different models: quadratic, exponential, simple exponential smoothing, and double exponential smoothing. The significance level used was α≤0.05. RESULTS: the curve that best fits the evolution of the accumulated confirmed cases of COVID-19 in Chile is the doubly-smoothed exponential curve. CONCLUSION: the number of infected patients will continue to increase. Chile needs to remain vigilant and adjust the strategies around the prevention and control measures. The behavior of the population plays a fundamental role. We suggest not relaxing restrictions and further improving epidemiological surveillance. Emergency preparations are needed and more resource elements need to be added to the current health support. This prediction is provisional and depends on keeping all intervening variables constant. Any alteration will modify the prediction.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neumonía Viral / Infecciones por Coronavirus / Pandemias / Betacoronavirus Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: America do sul / Chile Idioma: En / Es / Pt Revista: Rev Lat Am Enfermagem Asunto de la revista: ENFERMAGEM Año: 2020 Tipo del documento: Article País de afiliación: Chile Pais de publicación: Brasil

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neumonía Viral / Infecciones por Coronavirus / Pandemias / Betacoronavirus Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: America do sul / Chile Idioma: En / Es / Pt Revista: Rev Lat Am Enfermagem Asunto de la revista: ENFERMAGEM Año: 2020 Tipo del documento: Article País de afiliación: Chile Pais de publicación: Brasil