Blar i NR vitenarkiv på forfatter "De Blasio, Birgitte Freiesleben"
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A compelling demonstration of why traditional statistical regression models cannot be used to identify risk factors from case data on infectious diseases: a simulation study
Engebretsen, Solveig; Rø, Gunnar Øyvind Isaksson; De Blasio, Birgitte Freiesleben (Journal article; Peer reviewed, 2022) -
Effects of non-compulsory and mandatory COVID-19 interventions on travel distance and time away from home, Norway, 2021
Kamineni, Meghana; Engø-Monsen, Kenth; Midtbø, Jørgen E.; Forland, Frode; De Blasio, Birgitte Freiesleben; Frigessi, Arnoldo; Engebretsen, Solveig (Journal article; Peer reviewed, 2023)Background Given the societal, economic and health costs of COVID-19 non-pharmaceutical interventions (NPI), it is important to assess their effects. Human mobility serves as a surrogate measure for human contacts and ... -
A real-time regional model for COVID-19: Probabilistic situational awareness and forecasting
Engebretsen, Solveig; Palomares, Alfonso Diz-Lois; Rø, Gunnar; Kristoffersen, Anja Bråthen; Lindstrøm, Jonas Christoffer; Engø-Monsen, Kenth; Kamineni, Meghana; Chan, Yat Hin; Dale, Ørjan; Midtbø, Jørgen E.; Stenerud, Kristian Lindalen; Di Ruscio, Francesco; White, Richard Aubrey; Frigessi, Arnoldo; De Blasio, Birgitte Freiesleben (Journal article; Peer reviewed, 2023)