Modelling the impact of the Omicron BA.5 subvariant in New Zealand.

Lustig, Audrey; Vattiato, Giorgia; Maclaren, Oliver; Watson, Leighton M; Datta, Samik; Plank, Michael J

Lustig, Audrey; Vattiato, Giorgia; Maclaren, Oliver; Watson, Leighton M; Datta, Samik; Plank, Michael J.

Afiliação

Lustig A; Manaaki Whenua, Lincoln, New Zealand.
Vattiato G; Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand.
Maclaren O; Department of Physics, The University of Auckland, Auckland, New Zealand.
Watson LM; Department of Engineering Science, University of Auckland, Auckland, New Zealand.
Datta S; School of Earth and Environment, University of Canterbury, Christchurch, New Zealand.
Plank MJ; National Institute of Water and Atmospheric Research, Wellington, New Zealand.

J R Soc Interface ; 20(199): 20220698, 2023 02.

Article em En | MEDLINE | ID: mdl-36722072

Assuntos

COVID-19; Humanos; Criança; COVID-19/epidemiologia; COVID-19/prevenção & controle; Nova Zelândia/epidemiologia; SARS-CoV-2; Hospitalização

Palavras-chave

COVID-19; approximate Bayesian computation; dynamic model; epidemiology; immunity; waning

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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 / 2_ODS3 / 4_TD / 6_ODS3_enfermedades_notrasmisibles Base de dados: MEDLINE Assunto principal: COVID-19 Limite: Child / Humans País/Região como assunto: Oceania Idioma: En Revista: J R Soc Interface Ano de publicação: 2023 Tipo de documento: Article

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