Andrew B Lawson's contribution to the Discussion of 'The Second Discussion Meeting on Statistical aspects of the Covid-19 Pandemic'

被引:0
作者
Lawson, Andrew B. [1 ,2 ,3 ]
机构
[1] Med Univ South Carolina, Coll Med, Publ Hlth Sci, Charleston, SC USA
[2] Univ Edinburgh, Usher Inst, Edinburgh, Scotland
[3] Med Univ South Carolina, Charleston, SC 29425 USA
基金
新加坡国家研究基金会; 英国工程与自然科学研究理事会; 英国医学研究理事会;
关键词
SURVEILLANCE;
D O I
10.1093/jrsssa/qnad052
中图分类号
O1 [数学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 0701 ; 070101 ;
摘要
引用
收藏
页数:58
相关论文
共 4 条
  • [1] Bayesian space-time SIR modeling of Covid-19 in two US states during the 2020-2021 pandemic
    Lawson, Andrew B.
    Kim, Joanne
    [J]. PLOS ONE, 2022, 17 (12):
  • [2] Space-time covid-19 Bayesian SIR modeling in South Carolina
    Lawson, Andrew B.
    Kim, Joanne
    [J]. PLOS ONE, 2021, 16 (03):
  • [3] Mind the Scales: Harnessing Spatial Big Data for Infectious Disease Surveillance and Inference
    Lee, Elizabeth C.
    Asher, Jason M.
    Goldlust, Sandra
    Kraemer, John D.
    Lawson, Andrew B.
    Bansal, Shweta
    [J]. JOURNAL OF INFECTIOUS DISEASES, 2016, 214 : S409 - S413
  • [4] Spatiotemporal multi-disease transmission dynamic measure for emerging diseases: an application to dengue and zika integrated surveillance in Thailand
    Rotejanaprasert, Chawarat
    Lawson, Andrew B.
    Iamsirithaworn, Sopon
    [J]. BMC MEDICAL RESEARCH METHODOLOGY, 2019, 19 (01)