New technologies in predicting, preventing and controlling emerging infectious diseases

被引:106
作者
Christaki, Eirini [1 ,2 ]
机构
[1] AHEPA Univ Hosp, Dept Internal Med 1, Hellen Ctr Dis Control & Prevent, Thessaloniki, Greece
[2] Brown Univ, Alpert Sch Med, Div Infect Dis, Providence, RI 02912 USA
关键词
Emerging infectious diseases; event-based surveillance; epidemic modeling; outbreak; surveillance; PUBLIC-HEALTH SURVEILLANCE; EARLY WARNING SYSTEM; SOCIAL MEDIA; SYNDROMIC SURVEILLANCE; SPATIAL SPREAD; MOBILE PHONES; WEB; EPIDEMIC; TRANSMISSION; EMERGENCE;
D O I
10.1080/21505594.2015.1040975
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Surveillance of emerging infectious diseases is vital for the early identification of public health threats. Emergence of novel infections is linked to human factors such as population density, travel and trade and ecological factors like climate change and agricultural practices. A wealth of new technologies is becoming increasingly available for the rapid molecular identification of pathogens but also for the more accurate monitoring of infectious disease activity. Web-based surveillance tools and epidemic intelligence methods, used by all major public health institutions, are intended to facilitate risk assessment and timely outbreak detection. In this review, we present new methods for regional and global infectious disease surveillance and advances in epidemic modeling aimed to predict and prevent future infectious diseases threats.
引用
收藏
页码:554 / 561
页数:8
相关论文
共 72 条
  • [1] Comparing large-scale computational approaches to epidemic modeling: Agent-based versus structured metapopulation models
    Ajelli, Marco
    Goncalves, Bruno
    Balcan, Duygu
    Colizza, Vittoria
    Hu, Hao
    Ramasco, Jose J.
    Merler, Stefano
    Vespignani, Alessandro
    [J]. BMC INFECTIOUS DISEASES, 2010, 10
  • [2] Mass gathering medicine: 2014 Hajj and Umra preparation as a leading example
    Al-Tawfiq, Jaffar A.
    Memish, Ziad A.
    [J]. INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 2014, 27 : 26 - 31
  • [3] Emerging respiratory tract infections 1 Surveillance for emerging respiratory viruses
    Al-Tawfiq, Jaffar A.
    Zumla, Alimuddin
    Gautret, Philippe
    Gray, Gregory C.
    Hui, David S.
    Al-Rabeeah, Abdullah A.
    Memish, Ziad A.
    [J]. LANCET INFECTIOUS DISEASES, 2014, 14 (10) : 992 - 1000
  • [4] Prediction of Dengue Incidence Using Search Query Surveillance
    Althouse, Benjamin M.
    Ng, Yih Yng
    Cummings, Derek A. T.
    [J]. PLOS NEGLECTED TROPICAL DISEASES, 2011, 5 (08):
  • [5] Human Mobility Networks, Travel Restrictions, and the Global Spread of 2009 H1N1 Pandemic
    Bajardi, Paolo
    Poletto, Chiara
    Ramasco, Jose J.
    Tizzoni, Michele
    Colizza, Vittoria
    Vespignani, Alessandro
    [J]. PLOS ONE, 2011, 6 (01):
  • [6] Modeling the spatial spread of infectious diseases: The GLobal Epidemic and Mobility computational model
    Balcan, Duygu
    Goncalves, Bruno
    Hu, Hao
    Ramasco, Jose J.
    Colizza, Vittoria
    Vespignani, Alessandro
    [J]. JOURNAL OF COMPUTATIONAL SCIENCE, 2010, 1 (03) : 132 - 145
  • [7] Multiscale mobility networks and the spatial spreading of infectious diseases
    Balcan, Duygu
    Colizza, Vittoria
    Goncalves, Bruno
    Hu, Hao
    Ramasco, Jose J.
    Vespignani, Alessandro
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2009, 106 (51) : 21484 - 21489
  • [8] Factors Influencing Performance of Internet-Based Biosurveillance Systems Used in Epidemic Intelligence for Early Detection of Infectious Diseases Outbreaks
    Barboza, Philippe
    Vaillant, Laetitia
    Le Strat, Yann
    Hartley, David M.
    Nelson, Noele P.
    Mawudeku, Abla
    Madoff, Lawrence C.
    Linge, Jens P.
    Collier, Nigel
    Brownstein, John S.
    Astagneau, Pascal
    [J]. PLOS ONE, 2014, 9 (03):
  • [9] Evaluation of Epidemic Intelligence Systems Integrated in the Early Alerting and Reporting Project for the Detection of A/H5N1 Influenza Events
    Barboza, Philippe
    Vaillant, Laetitia
    Mawudeku, Abla
    Nelson, Noele P.
    Hartley, David M.
    Madoff, Lawrence C.
    Linge, Jens P.
    Collier, Nigel
    Brownstein, John S.
    Yangarber, Roman
    Astagneau, Pascal
    [J]. PLOS ONE, 2013, 8 (03):
  • [10] Using the Gravity Model to Estimate the Spatial Spread of Vector-Borne Diseases
    Barrios, Jose Miguel
    Verstraeten, Willem W.
    Maes, Piet
    Aerts, Jean-Marie
    Farifteh, Jamshid
    Coppin, Pol
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2012, 9 (12) : 4346 - 4364