bibtype J - Journal Article
ARLID 0559305
utime 20240111141107.7
mtime 20220721235959.9
SCOPUS 85132189903
WOS 000813728300001
DOI 10.1007/s11538-022-01031-5
title (primary) (eng) Delays, Masks, the Elderly, and Schools: First Covid-19 Wave in the Czech Republic
specification
page_count 25 s.
serial
ARLID cav_un_epca*0256316
ISSN 0092-8240
title Bulletin of Mathematical Biology
volume_id 84
publisher
name Springer
keyword covid-19 pandemic
keyword non-pharmaceutical interventions
keyword Approximate Bayesian computation
author (primary)
ARLID cav_un_auth*1103974
name1 Berec
name2 Luděk
institution BC-A
full_dept (cz) ENTU - Ekologie
full_dept (eng) Ecology
full_dept Insect Ecology
garant K
mrcb700-q Univ South Bohemia, Fac Sci, Ctr Math Biol, Dept Math, Branisovska 1760, Ceske Budejovice 37005, Czech Republic, Ctr Modelling Biol & Social Proc, Na Brehu 497-15, Prague 19000 9, Czech Republic
mrcb700-A 0000-0002-2419-3324
mrcb700-B G-7253-2014
fullinstit Biologické centrum AV ČR, v. v. i.
author
ARLID cav_un_auth*0309029
name1 Smyčka
name2 J.
country CZ
mrcb701-q Ctr Theoret Studies, Husova 4, Prague 11000 1, Czech Republic,
author
ARLID cav_un_auth*0106308
name1 Levínský
name2 René
institution NHU-N
mrcb701-q Ctr Modelling Biol & Social Proc, Na Brehu 497-15, Prague 19000 9, Czech Republic, CERGE EI, Politickych Veznu 7, Prague 11121 1, Czech Republic
fullinstit Národohospodářský ústav AV ČR, v. v. i.
author
ARLID cav_un_auth*0246851
name1 Hromádková
name2 Eva
institution NHU-N
full_dept Economics Institute
mrcb701-q CERGE EI, Politickych Veznu 7, Prague 11121 1, Czech Republic,
fullinstit Národohospodářský ústav AV ČR, v. v. i.
author
ARLID cav_un_auth*0364006
name1 Šoltés
name2 Michal
institution NHU-N
fullinstit Národohospodářský ústav AV ČR, v. v. i.
author
ARLID cav_un_auth*0259020
name1 Šlerka
name2 J.
country CZ
mrcb701-q Ctr Modelling Biol & Social Proc, Na Brehu 497-15, Prague 19000 9, Czech Republic, Charles Univ Prague, Fac Arts, New Media Studies, Na Prikope 29, Prague 11000 1, Czech Republic
author
ARLID cav_un_auth*0283215
name1 Tuček
name2 V.
country CZ
mrcb701-q Ctr Modelling Biol & Social Proc, Na Brehu 497-15, Prague 19000 9, Czech Republic, Univ Zagreb, Dept Math, Bijenicka 30, Zagreb 10000, Croatia
author
ARLID cav_un_auth*0091778
name1 Trnka
name2 J.
country CZ
mrcb701-q Charles Univ Prague, Fac Med 3, Dept Biochem Cell & Mol Biol, Ruska 87, Prague 10000 10, Czech Republic,
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
mrcb701-q Ctr Modelling Biol & Social Proc, Na Brehu 497-15, Prague 19000 9, Czech Republic
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
mrcb701-q Ctr Modelling Biol & Social Proc, Na Brehu 497-15, Prague 19000 9, Czech Republic
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0402615
name1 Diviák
name2 T.
country GB
mrcb701-q Ctr Modelling Biol & Social Proc, Na Brehu 497-15, Prague 19000 9, Czech Republic, Univ Manchester, Sch Social Sci, Dept Criminol, Oxford Rd, Manchester, England
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
mrcb701-q Ctr Modelling Biol & Social Proc, Na Brehu 497-15, Prague 19000 9, Czech Republic
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
mrcb701-q Ctr Modelling Biol & Social Proc, Na Brehu 497-15, Prague 19000 9, Czech Republic
fullinstit Ústav informatiky AV ČR, v. v. i.
source
source_type textový dokument
url https://link.springer.com/article/10.1007/s11538-022-01031-5
cas_special
project
project_id EF16_013/0001740
agency GA MŠk
country CZ
ARLID cav_un_auth*0407173
abstract (eng) Running across the globe for nearly 2 years, the Covid-19 pandemic keeps demonstrating its strength. Despite a lot of understanding, uncertainty regarding the efficiency of interventions still persists. We developed an age-structured epidemic model parameterized with epidemiological and sociological data for the first Covid-19 wave in the Czech Republic and found that (1) starting the spring 2020 lockdown 4 days earlier might prevent half of the confirmed cases by the end of lockdown period, (2) personal protective measures such as face masks appear more effective than just a realized reduction in social contacts, (3) the strategy of sheltering just the elderly is not at all effective, and (4) leaving schools open is a risky strategy. Despite vaccination programs, evidence-based choice and timing of non-pharmaceutical interventions remains an effective weapon against the Covid-19 pandemic.
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permalink https://hdl.handle.net/11104/0333831
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cooperation
ARLID cav_un_auth*0297789
name Jihočeská univerzita v Českých Budějovicích, Přírodovědecká fakulta
institution University of South Bohemia in České Budějovice
country CZ
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name Ctr Modelling Biol & Social Proc, Na Brehu 497-15, Prague 19000 9, Czech Republic
cooperation
ARLID cav_un_auth*0433295
name Ctr Theoret Studies, Husova 4, Prague 11000 1, Czech Republic
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ARLID cav_un_auth*0433296
name CERGE EI, Politickych Veznu 7, Prague 11121 1, Czech Republic
cooperation
ARLID cav_un_auth*0297951
name Filozofická fakulta Univerzity Karlovy
institution FFUK
country CZ
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ARLID cav_un_auth*0391400
name 3. lékařská fakulta Univerzity Karlovy
institution 3. LF UK
country CZ
article_num 75
mrcbC86 n.a. Article Biology|Mathematical Computational Biology
mrcbC91 C
mrcbT16-e BIOLOGY|MATHEMATICALCOMPUTATIONALBIOLOGY
mrcbT16-j 0.773
mrcbT16-s 0.591
mrcbT16-D Q3
mrcbT16-E Q3
arlyear 2022
mrcbTft \nSoubory v repozitáři: 0559305_0556756_prohlaseni.pdf
mrcbU01 BULLETIN OF MATHEMATICAL BIOLOGY 0092-8240 2022 84 8
mrcbU14 85132189903 SCOPUS
mrcbU24 35726074 PUBMED
mrcbU34 000813728300001 WOS
mrcbU56 textový dokument
mrcbU63 cav_un_epca*0256316 Bulletin of Mathematical Biology 0092-8240 1522-9602 Roč. 84 č. 8 2022 Springer