Mathematical modelling of SARS and other infectious diseases in China: a review

被引:19
|
作者
Han, Xiao-Na [1 ]
de Vlas, Sake J. [2 ]
Fang, Li-Qun [1 ]
Feng, Dan [1 ,3 ]
Cao, Wu-Chun [1 ]
Habbema, J. Dik F. [2 ]
机构
[1] Beijing Inst Microbiol & Epidemiol, State Key Lab Pathogen & Biosecur, Beijing 100071, Peoples R China
[2] Univ Med Ctr Rotterdam, Erasmus MC, Dept Publ Hlth, Rotterdam, Netherlands
[3] Chinese Peoples Liberat Army Gen Hosp, Beijing, Peoples R China
关键词
review; mathematical modelling; infectious diseases; severe acute respiratory syndrome; China; TRANSMISSION DYNAMICS; EPIDEMIOLOGY; INFLUENZA;
D O I
10.1111/j.1365-3156.2009.02244.x
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
P>Objective To give an overview of the recent history of publications on mathematical modelling of infectious diseases in the Chinese literature, and a more detailed review of the models on severe acute respiratory syndrome (SARS). Method Literature review through the Chinese CAJ full-text database. Results The number of Chinese publications on mathematical modelling has at least quadrupled since the SARS epidemic in 2003. This increase not only included papers on SARS, but also on various other infectious diseases, indicating a substantial expansion of modelling experience in China. Typical problems of most studies were poor availability of data and lack of involvement of disease experts and decision-makers rendering the studies less useful for policies on control. Conclusions We expect that the recent experience on modelling and current better access to and exchange of epidemiological data have paved the way for a more substantial role of this discipline during possible future outbreaks of infectious diseases. By making Chinese modelling initiatives more visible to non-Chinese readers, we hope to attract more international collaborators.
引用
收藏
页码:92 / 100
页数:9
相关论文
共 50 条
  • [21] A brief review of spatial analysis concepts and tools used for mapping, containment and risk modelling of infectious diseases and other illnesses
    Caprarelli, Graziella
    Fletcher, Stephanie
    PARASITOLOGY, 2014, 141 (05) : 581 - 601
  • [22] Introduction to Mathematical Modeling of Infectious Diseases
    Shrestha, Sourya
    Lloyd-Smith, James O.
    MODELING PARADIGMS AND ANALYSIS OF DISEASE TRANSMISSION MODELS, 2010, 75 : 1 - 46
  • [23] Mathematical Modeling and Control of Infectious Diseases
    Zaman, Gul
    Jung, Il H.
    Torres, Delfim F. M.
    Zeb, Anwar
    COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, 2017, 2017
  • [24] Mathematical models for infectious diseases.
    Montesinos-Lopez, Osval Antonio
    Hernandez-Suarez, Carlos Moises
    SALUD PUBLICA DE MEXICO, 2007, 49 (03): : 218 - 226
  • [25] Better modelling of infectious diseases: lessons from covid-19 in China
    Wei, Yongyue
    Sha, Feng
    Zhao, Yang
    Jiang, Qingwu
    Hao, Yuantao
    Chen, Feng
    BMJ-BRITISH MEDICAL JOURNAL, 2021, 375
  • [26] Epidemiologic changes of infectious diseases in the post-SARS era in China, 2004–2018
    Yizhe Luo
    Binxiong Wu
    Yameng Xu
    Lele Ai
    Heng Lv
    Jiahong Wu
    Weilong Tan
    BMC Public Health, 23
  • [27] Brain venous haemodynamics, neurological diseases and mathematical modelling. A review
    Toro, Eleuterio F.
    APPLIED MATHEMATICS AND COMPUTATION, 2016, 272 : 542 - 579
  • [28] Mathematical modelling of the propagation of infectious diseases: Where we came from, and where we are going
    Jose Fresnadillo-Martinez, Maria
    Garcia-Sanchez, Enrique
    Garcia-Merino, Enrique
    Martin del Rey, Angel
    Elias Garcia-Sanchez, Jose
    REVISTA ESPANOLA DE QUIMIOTERAPIA, 2013, 26 (02) : 81 - 91
  • [29] INFECTIOUS-DISEASES IN CHINA
    GAN, MJ
    LIU, JD
    SMEGO, RA
    JOURNAL OF INFECTIOUS DISEASES, 1991, 164 (04): : 830 - 831
  • [30] Data analysis and modelling of infectious diseases
    Romanyukha, A.A.
    Russian Journal of Numerical Analysis and Mathematical Modelling, 2000, 15 (03) : 297 - 331