Nonparametric Homogeneity Test for Small Samples and Its Applications to COVID-19 Epidemic Curves Forecasting

被引：0
|
作者：
Klyushin, Dmitriy [1 ]
机构：
[1] Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
来源：
2022 IEEE 4th International Conference on Advanced Trends in Information Theory, ATIT 2022 - Proceedings | 2022年
关键词：
461.7 Health Care - 723.4 Artificial Intelligence - 921.2 Calculus;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
27
引用
收藏
页码：264 / 267
相关论文
共 50 条
  • [21] It can be dangerous to take epidemic curves of COVID-19 at face value
    Burstyn, Igor
    Goldstein, Neal D.
    Gustafson, Paul
    CANADIAN JOURNAL OF PUBLIC HEALTH-REVUE CANADIENNE DE SANTE PUBLIQUE, 2020, 111 (03): : 397 - 400
  • [22] Epidemic curves and the profile of patients hospitalized by COVID-19 in a border region
    Kunkel, Merielly
    Gordillo, Erica Alves Ferreira
    Cicchelero, Laiz Mangini
    Porzsolt, Franz
    Meira, Mara Cristina Ripoli
    Ferreira, Helder
    Moreira, Neide Martins
    da Luz, Larissa Djanilda Parra
    Orfao, Nathalia Halax
    Silva-Sobrinho, Reinaldo Antonio
    REVISTA LATINO-AMERICANA DE ENFERMAGEM, 2024, 32
  • [23] Relationship of Test Positivity Rates with COVID-19 Epidemic Dynamics
    Furuse, Yuki
    Ko, Yura K.
    Ninomiya, Kota
    Suzuki, Motoi
    Oshitani, Hitoshi
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 18 (09)
  • [24] A Parsimonious Description and Cross-Country Analysis of COVID-19 Epidemic Curves
    Rypdal, Kristoffer
    Rypdal, Martin
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 17 (18) : 1 - 23
  • [25] Forecasting the Endemic/Epidemic Transition in COVID-19 in Some Countries: Influence of the Vaccination
    Waku, Jules
    Oshinubi, Kayode
    Adam, Umar Muhammad
    Demongeot, Jacques
    DISEASES, 2023, 11 (04)
  • [26] Inefficiency of SIR models in forecasting COVID-19 epidemic: a case study of Isfahan
    Shiva Moein
    Niloofar Nickaeen
    Amir Roointan
    Niloofar Borhani
    Zarifeh Heidary
    Shaghayegh Haghjooy Javanmard
    Jafar Ghaisari
    Yousof Gheisari
    Scientific Reports, 11
  • [27] Covid-19: Open-Data Resources for Monitoring, Modeling, and Forecasting the Epidemic
    Alamo, Teodoro
    Reina, Daniel G.
    Mammarella, Martina
    Abella, Alberto
    ELECTRONICS, 2020, 9 (05)
  • [28] Inefficiency of SIR models in forecasting COVID-19 epidemic: a case study of Isfahan
    Moein, Shiva
    Nickaeen, Niloofar
    Roointan, Amir
    Borhani, Niloofar
    Heidary, Zarifeh
    Javanmard, Shaghayegh Haghjooy
    Ghaisari, Jafar
    Gheisari, Yousof
    SCIENTIFIC REPORTS, 2021, 11 (01)
  • [29] Forecasting COVID-19 Epidemic Trends by Combining a Neural Network with Rt Estimation
    Cinaglia, Pietro
    Cannataro, Mario
    ENTROPY, 2022, 24 (07)
  • [30] The COVID-19 pandemic: key considerations for the epidemic and its control
    Orskov, Soren
    Nielsen, Bjarke Frost
    Fons, Sofie
    Sneppen, Kim
    Simonsen, Lone
    APMIS, 2021, 129 (07) : 408 - 420
12345