共 72 条
New technologies in predicting, preventing and controlling emerging infectious diseases
被引:115
作者:

论文数: 引用数:
h-index:
机构:
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
来源:
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.
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页码:554 / 561
页数:8
相关论文
共 72 条
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