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Vilde Bergstad Larsen

Biographic Data

ID6449532
NAMEVilde Bergstad Larsen
GIVEN NAMESVilde Bergstad
FAMILY NAMELarsen
SIGNATURELARSEN V B
AFFILIATIONSPeace Research Institute Oslo
ORCID0000-0002-6467-3234
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS1
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2022
H-INDEX1
  • Experience with open schools and preschools in periods of high community transmission of Covid-19 in Norway during the academic year of 2020/2021

    Open Access•Sara Stebbings, Torill Alise Rotevatn et al.•ARTICLE•BMC Public Health•2022

    We observed few large outbreaks in open schools and preschools in Norway during the academic year of 2020/2021, also when the Alpha variant was predominant. This illustrates that it is possible to keep schools and preschools open even during periods of high community transmission of COVID-19. Adherence to targeted IPC measures adaptable to the local situation has been essential to keep educational settings open, and thus reduce the total burden o…

  • Predicting (de-)escalation of sub-national violence using gradient boosting: Does it work

    Open Access•Jonas Vestby, Jürgen Brandsch et al.•ARTICLE•International Interactions•2022•Cited by: 1•References: 6

    This article presents a prediction model of (de-)escalation of sub-national violence using gradient boosting. The prediction model builds on updated data from the PRIO-GRID data aggregator, contributing to the ViEWS prediction competition by predicting changes in violence levels, operationalized using monthly fatalities at the 0.5 × 0.5-degree grid (pgm) level. Our model's predictive performance in terms of mean square error (MSE) is marginally w…

  • Predicting (de-)escalation of sub-national violence using gradient boosting: Does it work

    Open Access•Jonas Vestby, Jürgen Brandsch et al.•ARTICLE•International Interactions•2022•Cited by: 1•References: 6

    This article presents a prediction model of (de-)escalation of sub-national violence using gradient boosting. The prediction model builds on updated data from the PRIO-GRID data aggregator, contributing to the ViEWS prediction competition by predicting changes in violence levels, operationalized using monthly fatalities at the 0.5 × 0.5-degree grid (pgm) level. Our model's predictive performance in terms of mean square error (MSE) is marginally w…

  • Experience with open schools and preschools in periods of high community transmission of Covid-19 in Norway during the academic year of 2020/2021

    Open Access•Sara Stebbings, Torill Alise Rotevatn et al.•ARTICLE•BMC Public Health•2022

    We observed few large outbreaks in open schools and preschools in Norway during the academic year of 2020/2021, also when the Alpha variant was predominant. This illustrates that it is possible to keep schools and preschools open even during periods of high community transmission of COVID-19. Adherence to targeted IPC measures adaptable to the local situation has been essential to keep educational settings open, and thus reduce the total burden o…

  • Predicting (de-)escalation of sub-national violence using gradient boosting: Does it work

    Open Access•Jonas Vestby, Jürgen Brandsch et al.•ARTICLE•International Interactions•2022•Cited by: 1•References: 6

    This article presents a prediction model of (de-)escalation of sub-national violence using gradient boosting. The prediction model builds on updated data from the PRIO-GRID data aggregator, contributing to the ViEWS prediction competition by predicting changes in violence levels, operationalized using monthly fatalities at the 0.5 × 0.5-degree grid (pgm) level. Our model's predictive performance in terms of mean square error (MSE) is marginally w…

COVID-19 epidemiological studies (2 works) · Agricultural risk and resilience (1 works) · Artificial Intelligence (1 works) · Biostatistics (1 works) · Brier score (1 works) · Computer Science (1 works) · Coronavirus disease 2019 (COVID-19 (1 works) · COVID-19 and Mental Health (1 works) · Disease (1 works) · Econometrics (1 works)

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