The CP‐ABM approach for modelling COVID‐19 infection dynamics and quantifying the effects of non‐pharmaceutical interventions
作者：
Highlights：
• Novel CP-ABM method fusing change point detection & agent based modelling approaches.
• Method accurately models COVID-19 infection dynamics covering two infection waves.
• CP-ABM identifies key non pharmaceutical interventions & captures their effects.
• Proposed infection centric modelling approach has significant computation efficiency.
• Its effectiveness is fully demonstrated on the entire Northern Ireland population.
摘要
•Novel CP-ABM method fusing change point detection & agent based modelling approaches.•Method accurately models COVID-19 infection dynamics covering two infection waves.•CP-ABM identifies key non pharmaceutical interventions & captures their effects.•Proposed infection centric modelling approach has significant computation efficiency.•Its effectiveness is fully demonstrated on the entire Northern Ireland population.
论文关键词：COVID-19,Non pharmaceutical interventions,Change point detection,Agent based model,Genetic algorithm
论文评审过程：Received 31 March 2021, Revised 4 May 2022, Accepted 11 May 2022, Available online 14 May 2022, Version of Record 27 May 2022.
论文官网地址：https://doi.org/10.1016/j.patcog.2022.108790
