Inmaculada Villanueva
A5091295332- Regional Socio-Economic Development Trends
- COVID-19, Geopolitics, Technology, Migration
- Impact of AI and Big Data on Business and Society
- COVID-19 epidemiological studies
- COVID-19 diagnosis using AI
- COVID-19 Pandemic Impacts
- Energy Load and Power Forecasting
- Influenza Virus Research Studies
- Data-Driven Disease Surveillance
- Complex Systems and Time Series Analysis
Universitat Pompeu Fabra
2022-2024
Universitat Politècnica de Catalunya
2024
Consorci Institut D'Investigacions Biomediques August Pi I Sunyer
2022
Short-term forecasts of infectious disease burden can contribute to situational awareness and aid capacity planning. Based on best practice in other fields recent insights epidemiology, one maximise the predictive performance such if multiple models are combined into an ensemble. Here, we report ensembles predicting COVID-19 cases deaths across Europe between 08 March 2021 07 2022.
Abstract Accurate short-term predictions of COVID-19 cases with empirical models allow Health Officials to prepare for hospital contingencies in a two–three week window given the delay between case reporting and admission patients hospital. We investigate ability Gompertz-type empiric provide accurate prediction up two three weeks give large preparation surge virus transmission. stability its accuracy using bi-weekly during last trimester 2020 2021. Using data from 2020, we show that...
Abstract Background Short-term forecasts of infectious disease burden can contribute to situational awareness and aid capacity planning. Based on best practice in other fields recent insights epidemiology, one maximise the predictive performance such if multiple models are combined into an ensemble. Here we report ensembles predicting COVID-19 cases deaths across Europe between 08 March 2021 07 2022. Methods We used open-source tools develop a public European Forecast Hub. invited groups...
Abstract Accurate short-term prediction of Covid19 cases with empirical models allow Health Officials to prepare for hospital contingencies in a two-three week window given the delay between case reporting and admission patients hospital. We investigate ability Gompertz-type empiric provide accurate up two three weeks give large preparation surge virus transmission. stability its accuracy using bi-weekly predictions during last trimester 2020 2021. Using data from 2020, we show that...