| bibtype |
J -
Journal Article
|
| ARLID |
0578058 |
| utime |
20241118143041.8 |
| mtime |
20231114235959.9 |
| SCOPUS |
85175848114 |
| WOS |
001108929300050 |
| DOI |
10.1038/s41598-023-45788-8 |
| title
(primary) (eng) |
Rotation-based schedules in elementary schools to prevent COVID-19 spread: a simulation study |
| specification |
| page_count |
9 s. |
| media_type |
E |
|
| serial |
| ARLID |
cav_un_epca*0386594 |
| ISSN |
2045-2322 |
| title
|
Scientific Reports |
| volume_id |
13 |
| publisher |
| name |
Nature Publishing Group |
|
|
| keyword |
agent-based model |
| keyword |
covid-19 |
| keyword |
epidemiological modelling |
| keyword |
SEIR |
| author
(primary) |
| ARLID |
cav_un_auth*0222657 |
| name1 |
Brom |
| name2 |
C. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0449183 |
| name1 |
Diviák |
| name2 |
T. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0051505 |
| name1 |
Drbohlav |
| name2 |
J. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0363657 |
| name1 |
Korbel |
| name2 |
Václav |
| institution |
NHU-N |
| full_dept |
Economics Institute |
| fullinstit |
Národohospodářský ústav 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 umělé inteligence |
| full_dept |
Department of Artificial Intelligence |
| full_dept |
Department of Machine Learning |
| fullinstit |
Ústav informatiky AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0434902 |
| name1 |
Kadlecová |
| 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*0091778 |
| name1 |
Trnka |
| name2 |
J. |
| country |
CZ |
| garant |
K |
|
| author
|
| ARLID |
cav_un_auth*0231277 |
| name1 |
Vidnerová |
| name2 |
Petra |
| institution |
UIVT-O |
| full_dept (cz) |
Oddělení umělé inteligence |
| full_dept |
Department of Artificial Intelligence |
| full_dept |
Department of Machine Learning |
| fullinstit |
Ústav informatiky AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| abstract
(eng) |
Rotations of schoolchildren were considered as a non-pharmacological intervention in the COVID-19 pandemic. This study investigates the impact of different rotation and testing schedules. We built an agent-based model of interactions among pupils and teachers based on a survey in an elementary school in Prague, Czechia. This model contains 624 schoolchildren and 55 teachers and about 27 thousands social contacts in 10 layers. The layers reflect different types of contacts (classroom, cafeteria, etc.) in the survey. On this multi-graph structure we run a modified SEIR model of covid-19 infection. The parameters of the model are calibrated on data from the outbreak in the Czech Republic in spring 2020. Weekly rotations of in-class and distance learning are an effective preventative measure in schools reducing the spread of covid-19 by 75–81% . Antigen testing twice a week or PCR once a week significantly reduces infections even when using tests with a lower sensitivity. The structure of social contacts between pupils and teachers strongly influences the transmission. While the density of contact graphs for older pupils is 1.5 times higher than for younger pupils, the teachers’ network is an order of magnitude denser. Teachers moreover act as bridges between groups of children, responsible for 14–18% of infections in the secondary school compared to 8–11% in the primary school. Weekly rotations with regular testing are a highly effective non-pharmacological intervention for the prevention of covid-19 spread in schools and a way to keep schools open during an epidemic. |
| FORD0 |
10000 |
| FORD1 |
10200 |
| FORD2 |
10201 |
| reportyear |
2024 |
| num_of_auth |
11 |
| mrcbC47 |
NHU-N 50000 50200 50202 |
| mrcbC47 |
UTIA-B 10000 10100 10103 |
| mrcbC52 |
2 O 2o 20241118143041.8 |
| inst_support |
RVO:67985807 |
| inst_support |
RVO:67985556 |
| inst_support |
RVO:67985998 |
| permalink |
https://hdl.handle.net/11104/0347085 |
| cooperation |
| ARLID |
cav_un_auth*0339298 |
| name |
UTIA |
|
| cooperation |
| ARLID |
cav_un_auth*0345048 |
| name |
Národohospodářský ústav AV ČR |
|
| confidential |
S |
| article_num |
19156 |
| mrcbC91 |
A |
| mrcbT16-e |
MULTIDISCIPLINARYSCIENCES |
| mrcbT16-j |
1.059 |
| mrcbT16-D |
Q2 |
| arlyear |
2023 |
| mrcbTft |
\nSoubory v repozitáři: 0578058-aoa.pdf |
| mrcbU14 |
85175848114 SCOPUS |
| mrcbU24 |
37932281 PUBMED |
| mrcbU34 |
001108929300050 WOS |
| mrcbU63 |
cav_un_epca*0386594 Scientific Reports 2045-2322 2045-2322 Roč. 13 č. 1 2023 Nature Publishing Group |
|