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Microsimulation based quantitative analysis of COVID-19 management strategies.
Reguly, István Z; Csercsik, Dávid; Juhász, János; Tornai, Kálmán; Bujtár, Zsófia; Horváth, Gergely; Keömley-Horváth, Bence; Kós, Tamás; Cserey, György; Iván, Kristóf; Pongor, Sándor; Szederkényi, Gábor; Röst, Gergely; Csikász-Nagy, Attila.
Afiliação
  • Reguly IZ; Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary.
  • Csercsik D; Cytocast Kft., Vecsés, Hungary.
  • Juhász J; Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary.
  • Tornai K; Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary.
  • Bujtár Z; Institute of Medical Microbiology, Faculty of Medicine, Semmelweis University, Budapest, Hungary.
  • Horváth G; Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary.
  • Keömley-Horváth B; Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary.
  • Kós T; Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary.
  • Cserey G; Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary.
  • Iván K; Cytocast Kft., Vecsés, Hungary.
  • Pongor S; Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary.
  • Szederkényi G; Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary.
  • Röst G; Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary.
  • Csikász-Nagy A; Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary.
PLoS Comput Biol ; 18(1): e1009693, 2022 01.
Article em En | MEDLINE | ID: mdl-34982766
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 / Modelos Teóricos Tipo de estudo: Prognostic_studies Limite: Adolescent / Adult / Aged / Child / Humans / Middle aged Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Hungria
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 / Modelos Teóricos Tipo de estudo: Prognostic_studies Limite: Adolescent / Adult / Aged / Child / Humans / Middle aged Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Hungria