| bibtype |
L4 -
Prototype, methodology, f. module, software
|
| ARLID |
0548125 |
| utime |
20231214093239.0 |
| mtime |
20211116235959.9 |
| title
(primary) (eng) |
Epicity |
| publisher |
|
| keyword |
epidemic modelling |
| keyword |
agent based models |
| keyword |
non-pharmaceutical interventions simulation |
| 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 |
| share |
7,14 |
|
| 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 |
| share |
7,14 |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0106308 |
| name1 |
Levínský |
| name2 |
René |
| institution |
NHU-N |
| share |
7,14 |
| 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 |
| share |
7,14 |
| 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 |
| share |
7,14 |
|
| 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*0417210 |
| name1 |
Tuček |
| name2 |
Vít |
| 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*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 |
| share |
7,14 |
| fullinstit |
Ústav informatiky AV ČR, v. v. i. |
|
| 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 |
| share |
7,14 |
| 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 |
| share |
7,14 |
| 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) |
Model M is an agent-based epidemic model for COVID-19 computational experiments on realistic multi-graph social networks. It allows to simulate projections of main epidemic indicators with respect to various interventions. These include lockdowns, closures of different contact layers (leisure, schools, etc.), social distancing, testing and quarantine, contact tracing, and vaccination. |
| RIV |
IN |
| FORD0 |
10000 |
| FORD1 |
10200 |
| FORD2 |
10201 |
| reportyear |
2022 |
| 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 A 4a 20231122150105.7 |
| mrcbC55 |
NHU-N AO |
| inst_support |
RVO:67985807 |
| inst_support |
RVO:67985556 |
| inst_support |
RVO:67985998 |
| permalink |
http://hdl.handle.net/11104/0324239 |
| confidential |
S |
| arlyear |
2021 |
| mrcbTft |
\nSoubory v repozitáři: 0548125-formsoft.pdf |
| mrcbU10 |
2021 |
|