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<bibitem type="C">   <ARLID>0558740</ARLID> <utime>20230316105207.1</utime><mtime>20220701235959.9</mtime>              <title language="eng" primary="1">Modeling COVID Pandemics: Strengths and Weaknesses of Epidemic Models</title>  <specification> <page_count>9 s.</page_count> <media_type>P</media_type> </specification>   <serial><ARLID>cav_un_epca*0558134</ARLID><ISBN>978-80-7378-460-7</ISBN><title>Proceedings of the 12th Workshop on Uncertainty Processing</title><part_num/><part_title/><page_num>205-214</page_num><publisher><place>Prague</place><name>MatfyzPress</name><year>2022</year></publisher><editor><name1>Studený</name1><name2>Milan</name2></editor><editor><name1>Ay</name1><name2>Nihat</name2></editor><editor><name1>Coletti</name1><name2>Giulianella</name2></editor><editor><name1>Kleiter</name1><name2>Gernot D.</name2></editor><editor><name1>Shenoy</name1><name2>Prakash P.</name2></editor></serial>    <keyword>COVID</keyword>   <keyword>Epidemic Models</keyword>   <keyword>stochastic model</keyword>    <author primary="1"> <ARLID>cav_un_auth*0101206</ARLID> <name1>Šmíd</name1> <name2>Martin</name2> <institution>UTIA-B</institution> <full_dept language="cz">Ekonometrie</full_dept> <full_dept language="eng">Department of Econometrics</full_dept> <department language="cz">E</department> <department language="eng">E</department> <full_dept>Department of Econometrics</full_dept> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <url>http://library.utia.cas.cz/separaty/2022/E/smid-0558740.pdf</url> </source>        <cas_special>  <abstract language="eng" primary="1">We generally discuss modeling the present COVID pandemics. We argue that useful models have to be simple in the first case, yet their uncertainty has to be handled properly. In order to study circumstances of the upcoming wave of infection, we construct a simple stochastic model and present predictions it gives. We conclude that the autumn wave is most likely unavoidable and suggest concentrating to mitigation.</abstract>    <action target="WRD"> <ARLID>cav_un_auth*0431432</ARLID> <name>WUPES 2022: 12th Workshop on Uncertainty Processing</name> <dates>20220601</dates>  <country>CZ</country> <unknown tag="mrcbC20-s">20220604</unknown> <place>Kutná Hora</place> </action>  <RIV>BB</RIV> <FORD0>10000</FORD0> <FORD1>10100</FORD1> <FORD2>10103</FORD2>    <reportyear>2023</reportyear>     <presentation_type> PR </presentation_type> <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0332320</permalink>   <confidential>S</confidential>        <arlyear>2022</arlyear>       <unknown tag="mrcbU14"> SCOPUS </unknown> <unknown tag="mrcbU24"> PUBMED </unknown> <unknown tag="mrcbU34"> WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0558134 Proceedings of the 12th Workshop on Uncertainty Processing MatfyzPress 2022 Prague 205 214 978-80-7378-460-7 </unknown> <unknown tag="mrcbU67"> Studený Milan 340 </unknown> <unknown tag="mrcbU67"> Ay Nihat 340 </unknown> <unknown tag="mrcbU67"> Coletti Giulianella 340 </unknown> <unknown tag="mrcbU67"> Kleiter Gernot D. 340 </unknown> <unknown tag="mrcbU67"> Shenoy Prakash P. 340 </unknown> </cas_special> </bibitem>