| 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 |
Ekonomický 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 |
| mrcbT16-q |
69 |
| mrcbT16-s |
0.177 |
| mrcbT16-y |
16.94 |
| mrcbT16-x |
0.4 |
| mrcbT16-3 |
5467 |
| mrcbT16-E |
Q4 |
| 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 |
|