SrasV1, PascalFrancis, Corpus, bibRecord, 000090

A Network-based Simulation Architecture for Studying Epidemic Dynamics

Identifieur interne : 000090 ( PascalFrancis/Corpus ); précédent : 000089; suivant : 000091

A Network-based Simulation Architecture for Studying Epidemic Dynamics

Auteurs : Chung-Yuan Huang ; Yu-Shiuan Tsai ; Tzai-Hung Wen

Source :

Simulation : (San Diego, Calif.) [ 0037-5497 ] ; 2010.

RBID : Pascal:11-0422906

Descripteurs français

Pascal (Inist)
- Système réparti, Réseau ordinateur, Démographie, Virus immunodéficience humaine, Grippe, Architecture réseau, Epidémiologie, Maladie infectieuse, Epidémie, Simulation ordinateur.

English descriptors

KwdEn :
- Computer network, Computer simulation, Demography, Distributed system, Epidemic, Epidemiology, Human immunodeficiency virus, Infectious diseases, Influenza, Network architecture.

Abstract

Epidemiology instructors are collaborating with computer scientists to construct network-based simulations to recreate infectious disease transmission dynamics and to examine intervention strategy efficacies. Here we propose an architecture based on demographic and geographic properties to support the learning efforts of undergraduate students and novice researchers, and describe our simulations of HIV, SARS, and influenza transmission dynamics in Taiwan. Our findings are offered to support the construction of new network-based epidemic simulations.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

A01	`01`	`1`		`@0 0037-5497`
A03		`1`		`@0 Simulation : (S. Diego Calif.)`
A05				`@2 86`
A06				`@2 5-6`
A08	`01`	`1`	`ENG`	`@1 A Network-based Simulation Architecture for Studying Epidemic Dynamics`
A09	`01`	`1`	`ENG`	`@1 Software Tools, Techniques and Architecture for Computer Simulation`
A11	`01`	`1`		`@1 HUANG (Chung-Yuan)`
A11	`02`	`1`		`@1 TSAI (Yu-Shiuan)`
A11	`03`	`1`		`@1 WEN (Tzai-Hung)`
A12	`01`	`1`		`@1 WAINER (Gabriel A.) @9 ed.`
A14	`01`			`@1 Department of Computer Science and Information Engineering and Research Center for Emerging Viral Infections, Chang Gung University, 259 Wen Hwa 1st Road @2 Taoyuan 333 @3 TWN @Z 1 aut.`
A14	`02`			`@1 Department of Computer Science, National Chiao Tung University, 1001 Ta Hsueh Road @2 Hsinchu 300 @3 TWN @Z 2 aut.`
A14	`03`			`@1 Graduate Institute of Epidemiology, College of Public Health, National Taiwan University, 17 Xu-Zhou Road @2 Taipei 10020 @3 TWN @Z 3 aut.`
A15	`01`			`@1 Department of Systems and Computer Engineering, Carleton University Centre for Visualization and Simulation (V-Sim), 1125 Colonel By Drive, 3216V-Sim @2 Ottawa, ON. KIS 5B6 @3 CAN @Z 1 aut.`
A20				`@1 351-368`
A21				`@1 2010`
A23	`01`			`@0 ENG`
A43	`01`			`@1 INIST @2 4999 @5 354000508933470050`
A44				`@0 0000 @1 © 2011 INIST-CNRS. All rights reserved.`
A45				`@0 43 ref.`
A47	`01`	`1`		`@0 11-0422906`
A60				`@1 P`
A61				`@0 A`
A64	`01`	`1`		`@0 Simulation : (San Diego, Calif.)`
A66	`01`			`@0 USA`
C01	`01`		`ENG`	@0 Epidemiology instructors are collaborating with computer scientists to construct network-based simulations to recreate infectious disease transmission dynamics and to examine intervention strategy efficacies. Here we propose an architecture based on demographic and geographic properties to support the learning efforts of undergraduate students and novice researchers, and describe our simulations of HIV, SARS, and influenza transmission dynamics in Taiwan. Our findings are offered to support the construction of new network-based epidemic simulations.
C02	`01`	`X`		`@0 001D02B04`
C02	`02`	`X`		`@0 002B30A01A`
C02	`03`	`X`		`@0 001D02B08`
C03	`01`	`X`	`FRE`	`@0 Système réparti @5 06`
C03	`01`	`X`	`ENG`	`@0 Distributed system @5 06`
C03	`01`	`X`	`SPA`	`@0 Sistema repartido @5 06`
C03	`02`	`X`	`FRE`	`@0 Réseau ordinateur @5 07`
C03	`02`	`X`	`ENG`	`@0 Computer network @5 07`
C03	`02`	`X`	`SPA`	`@0 Red informática @5 07`
C03	`03`	`X`	`FRE`	`@0 Démographie @5 08`
C03	`03`	`X`	`ENG`	`@0 Demography @5 08`
C03	`03`	`X`	`SPA`	`@0 Demografía @5 08`
C03	`04`	`X`	`FRE`	`@0 Virus immunodéficience humaine @2 NW @5 09`
C03	`04`	`X`	`ENG`	`@0 Human immunodeficiency virus @2 NW @5 09`
C03	`04`	`X`	`SPA`	`@0 Human immunodeficiency virus @2 NW @5 09`
C03	`05`	`X`	`FRE`	`@0 Grippe @5 10`
C03	`05`	`X`	`ENG`	`@0 Influenza @5 10`
C03	`05`	`X`	`SPA`	`@0 Gripe @5 10`
C03	`06`	`X`	`FRE`	`@0 Architecture réseau @5 18`
C03	`06`	`X`	`ENG`	`@0 Network architecture @5 18`
C03	`06`	`X`	`SPA`	`@0 Arquitectura red @5 18`
C03	`07`	`X`	`FRE`	`@0 Epidémiologie @5 19`
C03	`07`	`X`	`ENG`	`@0 Epidemiology @5 19`
C03	`07`	`X`	`SPA`	`@0 Epidemiología @5 19`
C03	`08`	`3`	`FRE`	`@0 Maladie infectieuse @2 NM @5 20`
C03	`08`	`3`	`ENG`	`@0 Infectious diseases @2 NM @5 20`
C03	`09`	`X`	`FRE`	`@0 Epidémie @5 21`
C03	`09`	`X`	`ENG`	`@0 Epidemic @5 21`
C03	`09`	`X`	`SPA`	`@0 Epidemia @5 21`
C03	`10`	`X`	`FRE`	`@0 Simulation ordinateur @5 23`
C03	`10`	`X`	`ENG`	`@0 Computer simulation @5 23`
C03	`10`	`X`	`SPA`	`@0 Simulación computadora @5 23`
C07	`01`	`X`	`FRE`	`@0 Lentivirus @2 NW`
C07	`01`	`X`	`ENG`	`@0 Lentivirus @2 NW`
C07	`01`	`X`	`SPA`	`@0 Lentivirus @2 NW`
C07	`02`	`X`	`FRE`	`@0 Retroviridae @2 NW`
C07	`02`	`X`	`ENG`	`@0 Retroviridae @2 NW`
C07	`02`	`X`	`SPA`	`@0 Retroviridae @2 NW`
C07	`03`	`X`	`FRE`	`@0 Virus @2 NW`
C07	`03`	`X`	`ENG`	`@0 Virus @2 NW`
C07	`03`	`X`	`SPA`	`@0 Virus @2 NW`
C07	`04`	`X`	`FRE`	`@0 Virose`
C07	`04`	`X`	`ENG`	`@0 Viral disease`
C07	`04`	`X`	`SPA`	`@0 Virosis`
C07	`05`	`X`	`FRE`	`@0 Infection`
C07	`05`	`X`	`ENG`	`@0 Infection`
C07	`05`	`X`	`SPA`	`@0 Infección`
N21				`@1 290`
N44	`01`			`@1 OTO`
N82				`@1 OTO`

Format Inist (serveur)

NO :	PASCAL 11-0422906 INIST
ET :	A Network-based Simulation Architecture for Studying Epidemic Dynamics
AU :	HUANG (Chung-Yuan); TSAI (Yu-Shiuan); WEN (Tzai-Hung); WAINER (Gabriel A.)
AF :	Department of Computer Science and Information Engineering and Research Center for Emerging Viral Infections, Chang Gung University, 259 Wen Hwa 1st Road/Taoyuan 333/Taïwan (1 aut.); Department of Computer Science, National Chiao Tung University, 1001 Ta Hsueh Road/Hsinchu 300/Taïwan (2 aut.); Graduate Institute of Epidemiology, College of Public Health, National Taiwan University, 17 Xu-Zhou Road/Taipei 10020/Taïwan (3 aut.); Department of Systems and Computer Engineering, Carleton University Centre for Visualization and Simulation (V-Sim), 1125 Colonel By Drive, 3216V-Sim/Ottawa, ON. KIS 5B6/Canada (1 aut.)
DT :	Publication en série; Niveau analytique
SO :	Simulation : (San Diego, Calif.); ISSN 0037-5497; Etats-Unis; Da. 2010; Vol. 86; No. 5-6; Pp. 351-368; Bibl. 43 ref.
LA :	Anglais
EA :	Epidemiology instructors are collaborating with computer scientists to construct network-based simulations to recreate infectious disease transmission dynamics and to examine intervention strategy efficacies. Here we propose an architecture based on demographic and geographic properties to support the learning efforts of undergraduate students and novice researchers, and describe our simulations of HIV, SARS, and influenza transmission dynamics in Taiwan. Our findings are offered to support the construction of new network-based epidemic simulations.
CC :	001D02B04; 002B30A01A; 001D02B08
FD :	Système réparti; Réseau ordinateur; Démographie; Virus immunodéficience humaine; Grippe; Architecture réseau; Epidémiologie; Maladie infectieuse; Epidémie; Simulation ordinateur
FG :	Lentivirus; Retroviridae; Virus; Virose; Infection
ED :	Distributed system; Computer network; Demography; Human immunodeficiency virus; Influenza; Network architecture; Epidemiology; Infectious diseases; Epidemic; Computer simulation
EG :	Lentivirus; Retroviridae; Virus; Viral disease; Infection
SD :	Sistema repartido; Red informática; Demografía; Human immunodeficiency virus; Gripe; Arquitectura red; Epidemiología; Epidemia; Simulación computadora
LO :	INIST-4999.354000508933470050
ID :	11-0422906

Links to Exploration step

Pascal:11-0422906

Le document en format XML

<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" level="a">A Network-based Simulation Architecture for Studying Epidemic Dynamics</title>
<author><name sortKey="Huang, Chung Yuan" sort="Huang, Chung Yuan" uniqKey="Huang C" first="Chung-Yuan" last="Huang">Chung-Yuan Huang</name>
<affiliation><inist:fA14 i1="01"><s1>Department of Computer Science and Information Engineering and Research Center for Emerging Viral Infections, Chang Gung University, 259 Wen Hwa 1st Road</s1>
<s2>Taoyuan 333</s2>
<s3>TWN</s3>
<sZ>1 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Tsai, Yu Shiuan" sort="Tsai, Yu Shiuan" uniqKey="Tsai Y" first="Yu-Shiuan" last="Tsai">Yu-Shiuan Tsai</name>
<affiliation><inist:fA14 i1="02"><s1>Department of Computer Science, National Chiao Tung University, 1001 Ta Hsueh Road</s1>
<s2>Hsinchu 300</s2>
<s3>TWN</s3>
<sZ>2 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Wen, Tzai Hung" sort="Wen, Tzai Hung" uniqKey="Wen T" first="Tzai-Hung" last="Wen">Tzai-Hung Wen</name>
<affiliation><inist:fA14 i1="03"><s1>Graduate Institute of Epidemiology, College of Public Health, National Taiwan University, 17 Xu-Zhou Road</s1>
<s2>Taipei 10020</s2>
<s3>TWN</s3>
<sZ>3 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">INIST</idno>
<idno type="inist">11-0422906</idno>
<date when="2010">2010</date>
<idno type="stanalyst">PASCAL 11-0422906 INIST</idno>
<idno type="RBID">Pascal:11-0422906</idno>
<idno type="wicri:Area/PascalFrancis/Corpus">000090</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">A Network-based Simulation Architecture for Studying Epidemic Dynamics</title>
<author><name sortKey="Huang, Chung Yuan" sort="Huang, Chung Yuan" uniqKey="Huang C" first="Chung-Yuan" last="Huang">Chung-Yuan Huang</name>
<affiliation><inist:fA14 i1="01"><s1>Department of Computer Science and Information Engineering and Research Center for Emerging Viral Infections, Chang Gung University, 259 Wen Hwa 1st Road</s1>
<s2>Taoyuan 333</s2>
<s3>TWN</s3>
<sZ>1 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Tsai, Yu Shiuan" sort="Tsai, Yu Shiuan" uniqKey="Tsai Y" first="Yu-Shiuan" last="Tsai">Yu-Shiuan Tsai</name>
<affiliation><inist:fA14 i1="02"><s1>Department of Computer Science, National Chiao Tung University, 1001 Ta Hsueh Road</s1>
<s2>Hsinchu 300</s2>
<s3>TWN</s3>
<sZ>2 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Wen, Tzai Hung" sort="Wen, Tzai Hung" uniqKey="Wen T" first="Tzai-Hung" last="Wen">Tzai-Hung Wen</name>
<affiliation><inist:fA14 i1="03"><s1>Graduate Institute of Epidemiology, College of Public Health, National Taiwan University, 17 Xu-Zhou Road</s1>
<s2>Taipei 10020</s2>
<s3>TWN</s3>
<sZ>3 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
</analytic>
<series><title level="j" type="main">Simulation : (San Diego, Calif.)</title>
<title level="j" type="abbreviated">Simulation : (S. Diego Calif.)</title>
<idno type="ISSN">0037-5497</idno>
<imprint><date when="2010">2010</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
<seriesStmt><title level="j" type="main">Simulation : (San Diego, Calif.)</title>
<title level="j" type="abbreviated">Simulation : (S. Diego Calif.)</title>
<idno type="ISSN">0037-5497</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Computer network</term>
<term>Computer simulation</term>
<term>Demography</term>
<term>Distributed system</term>
<term>Epidemic</term>
<term>Epidemiology</term>
<term>Human immunodeficiency virus</term>
<term>Infectious diseases</term>
<term>Influenza</term>
<term>Network architecture</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Système réparti</term>
<term>Réseau ordinateur</term>
<term>Démographie</term>
<term>Virus immunodéficience humaine</term>
<term>Grippe</term>
<term>Architecture réseau</term>
<term>Epidémiologie</term>
<term>Maladie infectieuse</term>
<term>Epidémie</term>
<term>Simulation ordinateur</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">Epidemiology instructors are collaborating with computer scientists to construct network-based simulations to recreate infectious disease transmission dynamics and to examine intervention strategy efficacies. Here we propose an architecture based on demographic and geographic properties to support the learning efforts of undergraduate students and novice researchers, and describe our simulations of HIV, SARS, and influenza transmission dynamics in Taiwan. Our findings are offered to support the construction of new network-based epidemic simulations.</div>
</front>
</TEI>
<inist><standard h6="B"><pA><fA01 i1="01" i2="1"><s0>0037-5497</s0>
</fA01>
<fA03 i2="1"><s0>Simulation : (S. Diego Calif.)</s0>
</fA03>
<fA05><s2>86</s2>
</fA05>
<fA06><s2>5-6</s2>
</fA06>
<fA08 i1="01" i2="1" l="ENG"><s1>A Network-based Simulation Architecture for Studying Epidemic Dynamics</s1>
</fA08>
<fA09 i1="01" i2="1" l="ENG"><s1>Software Tools, Techniques and Architecture for Computer Simulation</s1>
</fA09>
<fA11 i1="01" i2="1"><s1>HUANG (Chung-Yuan)</s1>
</fA11>
<fA11 i1="02" i2="1"><s1>TSAI (Yu-Shiuan)</s1>
</fA11>
<fA11 i1="03" i2="1"><s1>WEN (Tzai-Hung)</s1>
</fA11>
<fA12 i1="01" i2="1"><s1>WAINER (Gabriel A.)</s1>
<s9>ed.</s9>
</fA12>
<fA14 i1="01"><s1>Department of Computer Science and Information Engineering and Research Center for Emerging Viral Infections, Chang Gung University, 259 Wen Hwa 1st Road</s1>
<s2>Taoyuan 333</s2>
<s3>TWN</s3>
<sZ>1 aut.</sZ>
</fA14>
<fA14 i1="02"><s1>Department of Computer Science, National Chiao Tung University, 1001 Ta Hsueh Road</s1>
<s2>Hsinchu 300</s2>
<s3>TWN</s3>
<sZ>2 aut.</sZ>
</fA14>
<fA14 i1="03"><s1>Graduate Institute of Epidemiology, College of Public Health, National Taiwan University, 17 Xu-Zhou Road</s1>
<s2>Taipei 10020</s2>
<s3>TWN</s3>
<sZ>3 aut.</sZ>
</fA14>
<fA15 i1="01"><s1>Department of Systems and Computer Engineering, Carleton University Centre for Visualization and Simulation (V-Sim), 1125 Colonel By Drive, 3216V-Sim</s1>
<s2>Ottawa, ON. KIS 5B6</s2>
<s3>CAN</s3>
<sZ>1 aut.</sZ>
</fA15>
<fA20><s1>351-368</s1>
</fA20>
<fA21><s1>2010</s1>
</fA21>
<fA23 i1="01"><s0>ENG</s0>
</fA23>
<fA43 i1="01"><s1>INIST</s1>
<s2>4999</s2>
<s5>354000508933470050</s5>
</fA43>
<fA44><s0>0000</s0>
<s1>© 2011 INIST-CNRS. All rights reserved.</s1>
</fA44>
<fA45><s0>43 ref.</s0>
</fA45>
<fA47 i1="01" i2="1"><s0>11-0422906</s0>
</fA47>
<fA60><s1>P</s1>
</fA60>
<fA61><s0>A</s0>
</fA61>
<fA64 i1="01" i2="1"><s0>Simulation : (San Diego, Calif.)</s0>
</fA64>
<fA66 i1="01"><s0>USA</s0>
</fA66>
<fC01 i1="01" l="ENG"><s0>Epidemiology instructors are collaborating with computer scientists to construct network-based simulations to recreate infectious disease transmission dynamics and to examine intervention strategy efficacies. Here we propose an architecture based on demographic and geographic properties to support the learning efforts of undergraduate students and novice researchers, and describe our simulations of HIV, SARS, and influenza transmission dynamics in Taiwan. Our findings are offered to support the construction of new network-based epidemic simulations.</s0>
</fC01>
<fC02 i1="01" i2="X"><s0>001D02B04</s0>
</fC02>
<fC02 i1="02" i2="X"><s0>002B30A01A</s0>
</fC02>
<fC02 i1="03" i2="X"><s0>001D02B08</s0>
</fC02>
<fC03 i1="01" i2="X" l="FRE"><s0>Système réparti</s0>
<s5>06</s5>
</fC03>
<fC03 i1="01" i2="X" l="ENG"><s0>Distributed system</s0>
<s5>06</s5>
</fC03>
<fC03 i1="01" i2="X" l="SPA"><s0>Sistema repartido</s0>
<s5>06</s5>
</fC03>
<fC03 i1="02" i2="X" l="FRE"><s0>Réseau ordinateur</s0>
<s5>07</s5>
</fC03>
<fC03 i1="02" i2="X" l="ENG"><s0>Computer network</s0>
<s5>07</s5>
</fC03>
<fC03 i1="02" i2="X" l="SPA"><s0>Red informática</s0>
<s5>07</s5>
</fC03>
<fC03 i1="03" i2="X" l="FRE"><s0>Démographie</s0>
<s5>08</s5>
</fC03>
<fC03 i1="03" i2="X" l="ENG"><s0>Demography</s0>
<s5>08</s5>
</fC03>
<fC03 i1="03" i2="X" l="SPA"><s0>Demografía</s0>
<s5>08</s5>
</fC03>
<fC03 i1="04" i2="X" l="FRE"><s0>Virus immunodéficience humaine</s0>
<s2>NW</s2>
<s5>09</s5>
</fC03>
<fC03 i1="04" i2="X" l="ENG"><s0>Human immunodeficiency virus</s0>
<s2>NW</s2>
<s5>09</s5>
</fC03>
<fC03 i1="04" i2="X" l="SPA"><s0>Human immunodeficiency virus</s0>
<s2>NW</s2>
<s5>09</s5>
</fC03>
<fC03 i1="05" i2="X" l="FRE"><s0>Grippe</s0>
<s5>10</s5>
</fC03>
<fC03 i1="05" i2="X" l="ENG"><s0>Influenza</s0>
<s5>10</s5>
</fC03>
<fC03 i1="05" i2="X" l="SPA"><s0>Gripe</s0>
<s5>10</s5>
</fC03>
<fC03 i1="06" i2="X" l="FRE"><s0>Architecture réseau</s0>
<s5>18</s5>
</fC03>
<fC03 i1="06" i2="X" l="ENG"><s0>Network architecture</s0>
<s5>18</s5>
</fC03>
<fC03 i1="06" i2="X" l="SPA"><s0>Arquitectura red</s0>
<s5>18</s5>
</fC03>
<fC03 i1="07" i2="X" l="FRE"><s0>Epidémiologie</s0>
<s5>19</s5>
</fC03>
<fC03 i1="07" i2="X" l="ENG"><s0>Epidemiology</s0>
<s5>19</s5>
</fC03>
<fC03 i1="07" i2="X" l="SPA"><s0>Epidemiología</s0>
<s5>19</s5>
</fC03>
<fC03 i1="08" i2="3" l="FRE"><s0>Maladie infectieuse</s0>
<s2>NM</s2>
<s5>20</s5>
</fC03>
<fC03 i1="08" i2="3" l="ENG"><s0>Infectious diseases</s0>
<s2>NM</s2>
<s5>20</s5>
</fC03>
<fC03 i1="09" i2="X" l="FRE"><s0>Epidémie</s0>
<s5>21</s5>
</fC03>
<fC03 i1="09" i2="X" l="ENG"><s0>Epidemic</s0>
<s5>21</s5>
</fC03>
<fC03 i1="09" i2="X" l="SPA"><s0>Epidemia</s0>
<s5>21</s5>
</fC03>
<fC03 i1="10" i2="X" l="FRE"><s0>Simulation ordinateur</s0>
<s5>23</s5>
</fC03>
<fC03 i1="10" i2="X" l="ENG"><s0>Computer simulation</s0>
<s5>23</s5>
</fC03>
<fC03 i1="10" i2="X" l="SPA"><s0>Simulación computadora</s0>
<s5>23</s5>
</fC03>
<fC07 i1="01" i2="X" l="FRE"><s0>Lentivirus</s0>
<s2>NW</s2>
</fC07>
<fC07 i1="01" i2="X" l="ENG"><s0>Lentivirus</s0>
<s2>NW</s2>
</fC07>
<fC07 i1="01" i2="X" l="SPA"><s0>Lentivirus</s0>
<s2>NW</s2>
</fC07>
<fC07 i1="02" i2="X" l="FRE"><s0>Retroviridae</s0>
<s2>NW</s2>
</fC07>
<fC07 i1="02" i2="X" l="ENG"><s0>Retroviridae</s0>
<s2>NW</s2>
</fC07>
<fC07 i1="02" i2="X" l="SPA"><s0>Retroviridae</s0>
<s2>NW</s2>
</fC07>
<fC07 i1="03" i2="X" l="FRE"><s0>Virus</s0>
<s2>NW</s2>
</fC07>
<fC07 i1="03" i2="X" l="ENG"><s0>Virus</s0>
<s2>NW</s2>
</fC07>
<fC07 i1="03" i2="X" l="SPA"><s0>Virus</s0>
<s2>NW</s2>
</fC07>
<fC07 i1="04" i2="X" l="FRE"><s0>Virose</s0>
</fC07>
<fC07 i1="04" i2="X" l="ENG"><s0>Viral disease</s0>
</fC07>
<fC07 i1="04" i2="X" l="SPA"><s0>Virosis</s0>
</fC07>
<fC07 i1="05" i2="X" l="FRE"><s0>Infection</s0>
</fC07>
<fC07 i1="05" i2="X" l="ENG"><s0>Infection</s0>
</fC07>
<fC07 i1="05" i2="X" l="SPA"><s0>Infección</s0>
</fC07>
<fN21><s1>290</s1>
</fN21>
<fN44 i1="01"><s1>OTO</s1>
</fN44>
<fN82><s1>OTO</s1>
</fN82>
</pA>
</standard>
<server><NO>PASCAL 11-0422906 INIST</NO>
<ET>A Network-based Simulation Architecture for Studying Epidemic Dynamics</ET>
<AU>HUANG (Chung-Yuan); TSAI (Yu-Shiuan); WEN (Tzai-Hung); WAINER (Gabriel A.)</AU>
<AF>Department of Computer Science and Information Engineering and Research Center for Emerging Viral Infections, Chang Gung University, 259 Wen Hwa 1st Road/Taoyuan 333/Taïwan (1 aut.); Department of Computer Science, National Chiao Tung University, 1001 Ta Hsueh Road/Hsinchu 300/Taïwan (2 aut.); Graduate Institute of Epidemiology, College of Public Health, National Taiwan University, 17 Xu-Zhou Road/Taipei 10020/Taïwan (3 aut.); Department of Systems and Computer Engineering, Carleton University Centre for Visualization and Simulation (V-Sim), 1125 Colonel By Drive, 3216V-Sim/Ottawa, ON. KIS 5B6/Canada (1 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Simulation : (San Diego, Calif.); ISSN 0037-5497; Etats-Unis; Da. 2010; Vol. 86; No. 5-6; Pp. 351-368; Bibl. 43 ref.</SO>
<LA>Anglais</LA>
<EA>Epidemiology instructors are collaborating with computer scientists to construct network-based simulations to recreate infectious disease transmission dynamics and to examine intervention strategy efficacies. Here we propose an architecture based on demographic and geographic properties to support the learning efforts of undergraduate students and novice researchers, and describe our simulations of HIV, SARS, and influenza transmission dynamics in Taiwan. Our findings are offered to support the construction of new network-based epidemic simulations.</EA>
<CC>001D02B04; 002B30A01A; 001D02B08</CC>
<FD>Système réparti; Réseau ordinateur; Démographie; Virus immunodéficience humaine; Grippe; Architecture réseau; Epidémiologie; Maladie infectieuse; Epidémie; Simulation ordinateur</FD>
<FG>Lentivirus; Retroviridae; Virus; Virose; Infection</FG>
<ED>Distributed system; Computer network; Demography; Human immunodeficiency virus; Influenza; Network architecture; Epidemiology; Infectious diseases; Epidemic; Computer simulation</ED>
<EG>Lentivirus; Retroviridae; Virus; Viral disease; Infection</EG>
<SD>Sistema repartido; Red informática; Demografía; Human immunodeficiency virus; Gripe; Arquitectura red; Epidemiología; Epidemia; Simulación computadora</SD>
<LO>INIST-4999.354000508933470050</LO>
<ID>11-0422906</ID>
</server>
</inist>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Sante/explor/SrasV1/Data/PascalFrancis/Corpus

HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000090 | SxmlIndent | more

HfdSelect -h $EXPLOR_AREA/Data/PascalFrancis/Corpus/biblio.hfd -nk 000090 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Sante
   |area=    SrasV1
   |flux=    PascalFrancis
   |étape=   Corpus
   |type=    RBID
   |clé=     Pascal:11-0422906
   |texte=   A Network-based Simulation Architecture for Studying Epidemic Dynamics
}}

This area was generated with Dilib version V0.6.33.
Data generation: Tue Apr 28 14:49:16 2020. Site generation: Sat Mar 27 22:06:49 2021

	Serveur d'exploration SRAS
	Attention, ce site est en cours de développement ! Attention, site généré par des moyens informatiques à partir de corpus bruts. Les informations ne sont donc pas validées.

Serveur d'exploration SRAS

A Network-based Simulation Architecture for Studying Epidemic Dynamics

A Network-based Simulation Architecture for Studying Epidemic Dynamics

Source :

Descripteurs français

English descriptors

Abstract

Notice en format standard (ISO 2709)

Format Inist (serveur)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri