bibtype |
C -
Conference Paper (international conference)
|
ARLID |
0546282 |
utime |
20231122145959.7 |
mtime |
20211004235959.9 |
SCOPUS |
85116653044 |
title
(primary) (eng) |
Simulation of non-pharmaceutical interventions in an agent based epidemic model |
specification |
page_count |
6 s. |
media_type |
E |
|
serial |
ARLID |
cav_un_epca*0546156 |
ISSN |
1613-0073 |
title
|
Proceedings of the 21st Conference Information Technologies – Applications and Theory (ITAT 2021) |
page_num |
263-268 |
publisher |
place |
Aachen |
name |
Technical University & CreateSpace Independent Publishing |
year |
2021 |
|
editor |
|
editor |
name1 |
Ciencialová |
name2 |
L. |
|
editor |
|
editor |
|
editor |
|
editor |
|
editor |
|
|
keyword |
agent based modelling |
keyword |
epidemic modelling |
keyword |
non-pharmaceutical interventions |
author
(primary) |
ARLID |
cav_un_auth*0231277 |
name1 |
Vidnerová |
name2 |
Petra |
institution |
UIVT-O |
full_dept (cz) |
Oddělení strojového učení |
full_dept (eng) |
Department of Machine Learning |
full_dept |
Department of Machine Learning |
garant |
K |
fullinstit |
Ústav informatiky AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0100794 |
name1 |
Neruda |
name2 |
Roman |
institution |
UIVT-O |
full_dept (cz) |
Oddělení strojového učení |
full_dept |
Department of Machine Learning |
full_dept |
Department of Machine Learning |
fullinstit |
Ústav informatiky AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0402629 |
name1 |
Suchopárová |
name2 |
Gabriela |
institution |
UIVT-O |
full_dept (cz) |
Oddělení strojového učení |
full_dept |
Department of Machine Learning |
country |
CZ |
fullinstit |
Ústav informatiky AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0270143 |
name1 |
Berec |
name2 |
L. |
country |
CZ |
|
author
|
ARLID |
cav_un_auth*0402615 |
name1 |
Diviák |
name2 |
T. |
country |
GB |
|
author
|
ARLID |
cav_un_auth*0264564 |
name1 |
Kuběna |
name2 |
Aleš Antonín |
institution |
UTIA-B |
full_dept (cz) |
Ekonometrie |
full_dept |
Department of Econometrics |
department (cz) |
E |
department |
E |
full_dept |
Department of Econometrics |
country |
CZ |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0106308 |
name1 |
Levínský |
name2 |
René |
institution |
NHU-N |
fullinstit |
Národohospodářský ústav AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0259020 |
name1 |
Šlerka |
name2 |
J. |
country |
CZ |
|
author
|
ARLID |
cav_un_auth*0101206 |
name1 |
Šmíd |
name2 |
Martin |
institution |
UTIA-B |
full_dept (cz) |
Ekonometrie |
full_dept |
Department of Econometrics |
department (cz) |
E |
department |
E |
full_dept |
Department of Econometrics |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0091778 |
name1 |
Trnka |
name2 |
J. |
country |
CZ |
|
author
|
ARLID |
cav_un_auth*0283215 |
name1 |
Tuček |
name2 |
V. |
country |
CZ |
|
author
|
ARLID |
cav_un_auth*0101231 |
name1 |
Vrbenský |
name2 |
Karel |
institution |
UTIA-B |
full_dept (cz) |
Stochastická informatika |
full_dept |
Department of Stochastic Informatics |
department (cz) |
SI |
department |
SI |
full_dept |
Department of Stochastic Informatics |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0237467 |
name1 |
Zajíček |
name2 |
Milan |
institution |
UTIA-B |
full_dept (cz) |
Výpočetní Středisko |
full_dept |
Computer Centre |
department (cz) |
VS |
department |
VS |
full_dept |
Department of Image Processing |
country |
CZ |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
source |
|
cas_special |
project |
project_id |
TL04000282 |
agency |
GA TA ČR |
country |
CZ |
ARLID |
cav_un_auth*0414828 |
|
abstract
(eng) |
The standard SEIR equation-based models represent the state-of-the-art approach in epidemiological modelling. Their drawbacks include unrealistic infection-related contact estimates and difficulties in modelling nonpharmaceutical interventions, such as contact reductions or partial closures. In this paper, we present our agent-based model that addresses the above-mentioned issues. It works with a population of individuals (agents) and their contacts are modelled as a multi-graph social network according to real data based on a Czech county. Custom algorithmic procedures simulating testing, quarantine and partial closures of various contact types are implemented. The model can serve as a tool for relative comparison of the efficacy of various policies. It was also used for a study comparing various interventions in Czech primary and secondary schools, using a graph based on real data from a selected Czech school. |
action |
ARLID |
cav_un_auth*0414699 |
name |
ITAT 2021: Information Technologies - Applications and Theory /21./ |
dates |
20210924 |
place |
Heľpa |
country |
SK |
mrcbC20-s |
20210928 |
|
RIV |
IN |
FORD0 |
10000 |
FORD1 |
10200 |
FORD2 |
10201 |
reportyear |
2022 |
num_of_auth |
14 |
mrcbC47 |
NHU-N 50000 50400 50401 |
mrcbC47 |
NHU-N 50000 50600 50602 |
mrcbC47 |
NHU-N 50000 50700 50702 |
mrcbC47 |
UTIA-B 10000 10200 10201 |
mrcbC52 |
4 O 4o 20231122145959.7 |
mrcbC55 |
NHU-N AP |
inst_support |
RVO:67985807 |
inst_support |
RVO:67985556 |
inst_support |
RVO:67985998 |
permalink |
http://hdl.handle.net/11104/0322820 |
cooperation |
ARLID |
cav_un_auth*0339298 |
name |
UTIA |
|
cooperation |
ARLID |
cav_un_auth*0304392 |
name |
Přírodovědecká fakulta, Jihočeská univerzita v Českých Budějovicích |
country |
CZ |
|
cooperation |
ARLID |
cav_un_auth*0298197 |
name |
University of Manchester |
country |
GB |
|
cooperation |
ARLID |
cav_un_auth*0344083 |
name |
Center for Economic Research and Graduate Education – Economics Institute |
institution |
CERGE-EI |
country |
CZ |
|
cooperation |
ARLID |
cav_un_auth*0297951 |
name |
Filozofická fakulta Univerzity Karlovy |
institution |
FFUK |
country |
CZ |
|
cooperation |
ARLID |
cav_un_auth*0391400 |
name |
3. lékařská fakulta Univerzity Karlovy |
institution |
3. LF UK |
country |
CZ |
|
cooperation |
ARLID |
cav_un_auth*0301520 |
name |
University of Zagreb |
country |
HR |
|
cooperation |
ARLID |
cav_un_auth*0414829 |
name |
Centrum pro modelování biologických a společenských procesů BISOP |
institution |
BISOP |
country |
CZ |
|
confidential |
S |
arlyear |
2021 |
mrcbTft |
\nSoubory v repozitáři: 0546282-aoa.pdf |
mrcbU14 |
85116653044 SCOPUS |
mrcbU24 |
PUBMED |
mrcbU34 |
WOS |
mrcbU63 |
cav_un_epca*0546156 Proceedings of the 21st Conference Information Technologies – Applications and Theory (ITAT 2021) Technical University & CreateSpace Independent Publishing 2021 Aachen 263 268 1613-0073 |
mrcbU67 |
Brejová B. 340 |
mrcbU67 |
Ciencialová L. 340 |
mrcbU67 |
Holeňa M. 340 |
mrcbU67 |
Mráz F. 340 |
mrcbU67 |
Pardubská D. 340 |
mrcbU67 |
Plátek M. 340 |
mrcbU67 |
Vinař T. 340 |
|