Endemic-epidemic models to understand COVID-19 spatio-temporal evolution

被引：14
作者：
Celani, Alessandro [1 ]
Giudici, Paolo [2 ]
机构：
[1] Polytech Univ Marche, Dipartimento Sci Econ & Sociali, Piazzale Raffaele Martelli 8, I-60121 Ancona, Italy
[2] Univ Pavia, Dipartimento Sci Econ & Aziendali, Via San Felice Al Monastero 5, I-27100 Pavia, Italy
来源：
SPATIAL STATISTICS | 2022年 / 49卷
关键词：
Contagion models; Multivariate statistics; COVID-19; Poisson processes; Spatio-temporal models;
D O I：
10.1016/j.spasta.2021.100528
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
We propose an endemic-epidemic model: a negative binomial space-time autoregression, which can be employed to monitor the contagion dynamics of the COVID-19 pandemic, both in time and in space. The model is exemplified through an empirical analysis of the provinces of northern Italy, heavily affected by the pandemic and characterized by similar non-pharmaceutical policy interventions. (C) 2021 Elsevier B.V. All rights reserved.
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页数：15
相关论文
共 32 条
  • [1] Monitoring COVID-19 contagion growth
    Agosto, Arianna
    Campmas, Alexandra
    Giudici, Paolo
    Renda, Andrea
    [J]. STATISTICS IN MEDICINE, 2021, 40 (18) : 4150 - 4160
  • [2] A Poisson Autoregressive Model to Understand COVID-19 Contagion Dynamics
    Agosto, Arianna
    Giudici, Paolo
    [J]. RISKS, 2020, 8 (03) : 1 - 8
  • [3] Nowcasting COVID-19 incidence indicators during the Italian first outbreak
    Alaimo Di Loro, Pierfrancesco
    Divino, Fabio
    Farcomeni, Alessio
    Jona Lasinio, Giovanna
    Lovison, Gianfranco
    Maruotti, Antonello
    Mingione, Marco
    [J]. STATISTICS IN MEDICINE, 2021, 40 (16) : 3843 - 3864
  • [4] [Anonymous], 2020, COVID 19 DASHBOARD
  • [5] [Anonymous], 2020, CESIFO WORKING PAPER
  • [6] A spatio-temporal model based on discrete latent variables for the analysis of COVID-19 incidence
    Bartolucci, Francesco
    Farcomeni, Alessio
    [J]. SPATIAL STATISTICS, 2022, 49
  • [7] Endemic-epidemic models with discrete-time serial interval distributions for infectious disease prediction
    Bracher, Johannes
    Held, Leonhard
    [J]. INTERNATIONAL JOURNAL OF FORECASTING, 2022, 38 (03) : 1221 - 1233
  • [8] R-Squared measures for count data regression models with applications to health-care utilization
    Cameron, AC
    Windmeijer, FAG
    [J]. JOURNAL OF BUSINESS & ECONOMIC STATISTICS, 1996, 14 (02) : 209 - 220
  • [9] Estimation of COVID-19 prevalence in Italy, Spain, and France
    Ceylan, Zeynep
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 729
  • [10] Cornelia I., 2020, 28120 NBER
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