Glossary for public health surveillance in the age of data science

被引:38
作者
Chiolero, Arnaud [1 ,2 ,3 ,4 ]
Buckeridge, David [4 ]
机构
[1] Univ Fribourg, Dept Community Hlth, Populat Hlth Lab PopHealthLab, CH-1700 Fribourg, Switzerland
[2] Univ Bern, Inst Primary Hlth Care BIHAM, Bern, Switzerland
[3] Observ Valaisan Sante OVS, Sion, Switzerland
[4] McGill Univ, Dept Epidemiol Biostat & Occupat Hlth, Montreal, PQ, Canada
关键词
POPULATION HEALTH; BIG DATA; SYNDROMIC SURVEILLANCE; VISUALIZATION; RECORDS; SUPPORT; FRAMEWORK; RISK; BIAS;
D O I
10.1136/jech-2018-211654
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Public health surveillance is the ongoing systematic collection, analysis and interpretation of data, closely integrated with the timely dissemination of the resulting information to those responsible for preventing and controlling disease and injury. With the rapid development of data science, encompassing big data and artificial intelligence, and with the exponential growth of accessible and highly heterogeneous health-related data, from healthcare providers to user-generated online content, the field of surveillance and health monitoring is changing rapidly. It is, therefore, the right time for a short glossary of key terms in public health surveillance, with an emphasis on new data-science developments in the field.
引用
收藏
页码:612 / 616
页数:5
相关论文
共 60 条
[1]  
Ann Keller S., 2012, Significance, V9, P4, DOI DOI 10.1111/J.1740-9713.2012.00583.X
[2]   Seeking precision in public health [J].
不详 .
NATURE MEDICINE, 2019, 25 (08) :1177-1177
[3]  
[Anonymous], 2005, 20514 ISOTR
[4]  
[Anonymous], OECD Health Policy Studies, DOI [DOI 10.1787/E3B23F8E-EN, 10.1787/e3b23f8e-en]
[5]   End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography [J].
Ardila, Diego ;
Kiraly, Atilla P. ;
Bharadwaj, Sujeeth ;
Choi, Bokyung ;
Reicher, Joshua J. ;
Peng, Lily ;
Tse, Daniel ;
Etemadi, Mozziyar ;
Ye, Wenxing ;
Corrado, Greg ;
Naidich, David P. ;
Shetty, Shravya .
NATURE MEDICINE, 2019, 25 (06) :954-+
[6]   The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) Statement [J].
Benchimol, Eric I. ;
Smeeth, Liam ;
Guttmann, Astrid ;
Harron, Katie ;
Moher, David ;
Petersen, Irene ;
Sorensen, Henrik T. ;
von Elm, Erik ;
Langan, Sinead M. .
PLOS MEDICINE, 2015, 12 (10)
[7]  
Beresewicz M, 2018, EUROSTAT
[8]   What is Machine Learning? A Primer for the Epidemiologist [J].
Bi, Qifang ;
Goodman, Katherine E. ;
Kaminsky, Joshua ;
Lessler, Justin .
AMERICAN JOURNAL OF EPIDEMIOLOGY, 2019, 188 (12) :2222-2239
[9]   Understanding of regional variation in the use of surgery [J].
Birkmeyer, John D. ;
Reames, Bradley N. ;
McCulloch, Peter ;
Carr, Andrew J. ;
Campbell, W. Bruce ;
Wennberg, John E. .
LANCET, 2013, 382 (9898) :1121-1129
[10]   Evidence-Based Public Health: A Fundamental Concept for Public Health Practice [J].
Brownson, Ross C. ;
Fielding, Jonathan E. ;
Maylahn, Christopher A. .
ANNUAL REVIEW OF PUBLIC HEALTH, 2009, 30 :175-201