Modelling and predicting the spatio-temporal spread of COVID-19 in Italy

被引:0
作者
Diego Giuliani
Maria Michela Dickson
Giuseppe Espa
Flavio Santi
机构
[1] Department of Economics and Management,
[2] University of Trento,undefined
[3] Department of Economics,undefined
[4] University of Verona,undefined
来源
BMC Infectious Diseases | / 20卷
关键词
COVID-19; Italy; Spatio-temporal model;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 74 条
[1]  
Li X(2020)Evolutionary history, potential intermediate animal host, and cross-species analyses of SARS-CoV-2 J Med Virol 92 602-11
[2]  
Zai J(2020)Clinical characteristics of coronavirus disease 2019 in China N Engl J Med 382 1708-20
[3]  
Zhao Q(2020)Early transmission dynamics in wuhan, china, of novel coronavirus-infected pneumonia N Engl J Med 382 1199-07
[4]  
Nie Q(2020)Transmission of 2019-nCoV infection from an asymptomatic contact in germany N Engl J Med 382 970-1
[5]  
Li Y(2020)Assessing nitrogen dioxide (no2) levels as a contributing factor to coronavirus (covid-19) fatality Sci Total Environ 726 138605-9
[6]  
Foley B(2020)Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China JAMA 323 1061-70
[7]  
Chaillon A(2018)The socio-institutional divide: Explaining italy’s long-term regional differences J Interdiscip Hist 49 43-49
[8]  
Guan W(2014)How health care regionalisation in italy is widening the north-south gap Health Econ Policy Law 9 231-E208
[9]  
Ni Z(2020)Early epidemiological analysis of the coronavirus disease 2019 outbreak based on crowdsourced data: a population-level observational study Lancet Digital Health 2 E201-400
[10]  
Hu Y(2020)The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak Science 368 395-93