Why Predictive Modeling is Critical in the Fight against COVID-19
Other Language Versions
Abstract
Introduction: A number of predictive models and forecasting exercises have been developed by various organizations, such as research groups, academic institutions, hospitals, and consulting companies, with the main aim to support health systems in with COVID-19 strategic decision making, planning, and health policy formulation that help in the fight against COVID19. Predictive models are helpful for estimating the number of COVID-19 cases and deaths; the resources required, e.g., such as hospital patient beds and ICU beds; and the demand for supplies, such as personal protective equipment (PPE). Because predictive models for COVID-19 must rely on a rapidly changing situation and underlying data, they produce results that may change repeatedly as data areas data is updated and revised. Nevertheless, the predictive models are meaningful and can offer crucial insights to policymakers. It is important that we understand the strengths and weaknesses of predictive models in order to use them judiciously as support and reference tools for COVID-19 planning and action. Series: Digital Transformation Toolkit. Knowledge Tools; 20.
Collections
This notice should be preserved along with the article's original URL.Attribution-NonCommercial-ShareAlike 3.0 IGO
Related items
Showing items related by title, author, creator and subject.
-
Validación predictiva de un método de clasificación funcional en adultos mayores
García-Arango, Víctor; Osorio-Ciro, Jorge; Aguirre-Acevedo, Daniel; Vanegas-Vargas, Catalina; Clavijo-Usuga, Carmen; Gallo-Villegas, Jaime (2021-02-18)[RESUMEN]. Objetivo. Evaluar la validez predictiva de un método de clasificación funcional (CF) sobre el uso de los servicios de urgencias y hospitalización, mortalidad y costos de la atención en salud en adultos mayores. ... -
Análisis de los determinantes próximos e impacto de la ocupación en la fertilidad de mujeres peruanas
Enríquez-Canto, Yordanis; Ortiz-Romaní, Katherine; Ortiz-Montalvo, Yonathan (2017-02)Objetivo. Estimar la capacidad predictiva de los determinantes próximos y el trabajo en la disminución de la fertilidad en mujeres peruanas en edad fértil. Métodos. Análisis secundario de la Encuesta Demográfica y de ... -
Análisis de los determinantes próximos e impacto de la ocupación en la fertilidad de mujeres peruanas
Enríquez-Canto, Yordanis; Ortiz-Romaní, Katherine; Ortiz-Montalvo, Yonathan (2017-02)Objetivo. Estimar la capacidad predictiva de los determinantes próximos y el trabajo en la disminución de la fertilidad en mujeres peruanas en edad fértil. Métodos. Análisis secundario de la Encuesta Demográfica y de ...