| bibtype |
V -
Research Report
|
| ARLID |
0557038 |
| utime |
20231214093756.0 |
| mtime |
20220503235959.9 |
| DOI |
10.1101/2021.05.13.21257139 |
| title
(primary) (eng) |
Model-M: An agent-based epidemic model of a middle-sized municipality |
| publisher |
|
| specification |
|
| edition |
| name |
bioRxiv |
| volume_id |
2021.05.13.21257139 |
|
| author
(primary) |
| ARLID |
cav_un_auth*0101067 |
| name1 |
Berec |
| name2 |
Luděk |
| institution |
UTIA-B |
| full_dept (cz) |
Ekonometrie |
| full_dept (eng) |
Department of Econometrics |
| department (cz) |
E |
| department (eng) |
E |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| 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*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*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*0417209 |
| name1 |
Trnka |
| name2 |
Jan |
| institution |
UTIA-B |
| full_dept (cz) |
Ekonometrie |
| full_dept |
Department of Econometrics |
| department (cz) |
E |
| department |
E |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0283215 |
| name1 |
Tuček |
| name2 |
V. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0231277 |
| name1 |
Vidnerová |
| name2 |
Petra |
| 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*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. |
|
| author
|
| ARLID |
cav_un_auth*0417211 |
| name1 |
Zapletal |
| name2 |
František |
| institution |
UTIA-B |
| full_dept (cz) |
Ekonometrie |
| full_dept |
Department of Econometrics |
| department (cz) |
E |
| department |
E |
| 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) |
This report presents a technical description of our agent-based epidemic model of a particular middle-sized municipality. We have developed a realistic model with 56 thousand inhabitants and 2.7 millions of social contacts. These form a multi-layer social network that serves as a base of our epidemic simulation. The disease is modeled by our extended SEIR model with parameters fitted to real epidemics data for Czech Republic. The model is able to simulate a whole range of non-pharmaceutical interventions on individual level, such as protective measures and physical distancing, testing, contact tracing, isolation and quarantine. The effect of government-issued measures such as contact restrictions in different environments (schools, restaurants, vendors, etc.) can also be simulated. |
| reportyear |
2023 |
| mrcbC52 |
4 A 4a 20231122150530.7 |
| inst_support |
RVO:67985807 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0331145 |
| confidential |
S |
| arlyear |
2022 |
| mrcbTft |
\nSoubory v repozitáři: 0557038-aw.pdf |
| mrcbU10 |
2022 |
|