A Computational Framework to Study Public Health Epidemiology

被引：2

作者：

Corley, Courtney D. ^{[1
]}

Mikler, Armin R. ^{[1
]}

机构：

[1] Univ N Texas, Dept Comp Sci & Engn, Ctr Computat Epidemiol & Response Anal, Denton, TX 76203 USA

来源：

2009 INTERNATIONAL JOINT CONFERENCE ON BIOINFORMATICS, SYSTEMS BIOLOGY AND INTELLIGENT COMPUTING, PROCEEDINGS | 2009年

关键词：

D O I：

10.1109/IJCBS.2009.83

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Public Health professionals require computational support to study disease outbreak dynamics and to facilitate policy and decision-making. Modeling disease outbreaks in large realistic populations is a data-intensive task that requires tremendous computational resources This paper presents a framework of multiple source and computational modules to evaluate what-if scenarios and quantify public health actions.

引用

页码：360 / 363

页数：4

共 23 条

[1]

[Anonymous], 1901, B SOCIETE VAUDOISEDE

[2] Evolution of the social network of scientific collaborations [J].

Barabási, AL ;

Jeong, H ;

Néda, Z ;

Ravasz, E ;

Schubert, A ;

Vicsek, T .

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2002, 311 (3-4) :590-614

[3]

BARRETT CL, 2008, P SC2008 TX US NOV

[4] Bayesian analysis of an epidemiologic model of Plasmodium falciparum malaria infection in Ndiop, Senegal [J].

Cancré, N ;

Tall, A ;

Rogier, C ;

Faye, J ;

Sarr, O ;

Trape, JF ;

Spiegel, A ;

Bois, F .

AMERICAN JOURNAL OF EPIDEMIOLOGY, 2000, 152 (08) :760-770

[5]

Carabin H., 2003, B WORLD HEALTH ORGAN, V81, P473

[6]

CORLEY C, 2007, BIOINF BIOENG 2007 B, P1235

[7]

Corley Courtney D., 2008, International Journal of Functional Informatics and Personalised Medicine, V1, P171, DOI 10.1504/IJFIPM.2008.020186

[8]

EUBANK S, 2002, P 17 ANN ACM S APPL

[9]

Eysenbach Gunther, 2006, AMIA Annu Symp Proc, P244

[10]

Fayers PM, 1997, STAT MED, V16, P1413, DOI 10.1002/(SICI)1097-0258(19970630)16:12<1413::AID-SIM578>3.0.CO

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