Using Probabilistic Planning to Model the Spread of COVID-19 in Kingston, Ontario

被引:0
作者
Chidley, Bruce [1 ]
Muise, Christian [1 ]
机构
[1] Queen's University, School of Computing, Kingston,ON, Canada
来源
Canadian Conference on Electrical and Computer Engineering | 2024年
关键词
Compilation and indexing terms; Copyright 2025 Elsevier Inc;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:156 / 157
相关论文
共 39 条
  • [21] Fuzzy Model to Support Covid-19 Epidemiological Surveillance in Hospitalized Patients with Severe Acute Respiratory Syndrome
    Marsico, Erika Fonseca Camargo
    de Castro Lobo, Maria Stella
    dos Santos Grecco, Claudio Henrique
    Krykhtine, Fábio Luiz Peres
    Nunes Cosenza, Carlos Alberto
    Costa, Antonio Jose Leal
    SSRN, 2023,
  • [22] Strategic analysis for the installation of field hospitals for COVID-19 control: An approach based on P-median model
    De Mattos Bento Soares, Leandro
    Moreira, Miguel Ângelo Lellis
    Basilio, Marcio Pereira
    Gomes, Carlos Francisco Simões
    Dos Santos, Marcos
    De Araújo Costa, Igor Pinheiro
    Frontiers in Artificial Intelligence and Applications, 2021, 341 : 112 - 118
  • [23] One Shot Model for COVID-19 Classification and Lesions Segmentation in Chest CT Scans Using Long Short-Term Memory Network with Attention Mechanism
    Ter-Sarkisov A.
    IEEE Intelligent Systems, 2022, 37 (03) : 54 - 64
  • [24] An Analysis of Shifts in Public Interests and Sentiments in Japan Using News Tweet Data during the COVID-19 Pandemic
    Fukuda, Satoshi
    Nanba, Hidetsugu
    Shoji, Hiroko
    Proceedings - 2023 14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023, 2023, : 106 - 111
  • [25] Sentiment Analysis on Online Learning during the Covid-19 Pandemic Based on Opinions on Twitter using KNN Method
    Lubis, Arif Ridho
    Prayudani, Santi
    Lubis, Muharman
    Nugroho, Okvi
    2022 1st International Conference on Information System and Information Technology, ICISIT 2022, 2022, : 106 - 111
  • [26] Beyond Fear and Anger: A Global Analysis of Emotional Response to COVID-19 News on Twitter Using Deep Learning
    Oliveira, Francisco Bráulio
    Mougouei, Davoud
    Haque, Amanul
    Sichman, Jaime Simão
    Dam, Hoa
    Evans, Simon
    Ghose, Aditya
    Singh, Munindar P.
    SSRN, 2023,
  • [27] Forecasting the Severity of COVID-19 Pandemic Amidst the Emerging SARS-CoV-2 Variants: Adoption of ARIMA Model
    Li, Cai
    Sampene, Agyemang Kwasi
    Agyeman, Fredrick Oteng
    Robert, Brenya
    Ayisi, Abraham Lincoln
    Computational and Mathematical Methods in Medicine, 2022, 2022
  • [28] A simple SEIR-V model to estimate COVID-19 prevalence and predict SARS-CoV-2 transmission using wastewater-based surveillance data
    Phan, Tin
    Brozak, Samantha
    Pell, Bruce
    Gitter, Anna
    Xiao, Amy
    Mena, Kristina D.
    Kuang, Yang
    Wu, Fuqing
    Science of the Total Environment, 2023, 857
  • [29] Detecting Ransomware Attacks in Cloud Environment Using Machine Learning-Based Intelligence System in COVID-19 Chaos
    Ghazi, Mohd. Rehan
    Raghava, N.S.
    2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2022, 2022,
  • [30] Forecasting Stock Price Index of Four Asian Countries During COVID-19 Pandemic Using ARMA-GARCH and RNN Methods
    Ferdinand, F.V.
    Saputra, K.V.I.
    Michelle
    Edbert, Johan Sebastian
    2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023, 2023, : 974 - 978