A Data Science Pipeline Applied to Australia’s 2022 COVID-19 Omicron Waves-Reference-Cited by-同舟云学术

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A Data Science Pipeline Applied to Australia’s 2022 COVID-19 Omicron Waves

Published:2024-08 Issue: Volume: Page:
ISSN:2468-0427
Container-title:Infectious Disease Modelling
language:en
Short-container-title:Infectious Disease Modelling

Author:

Trauer James M.^ORCID,Hughes Angus E.^ORCID,Shipman David S.,Meehan Michael T.^ORCID,Henderson Alec S.^ORCID,McBryde Emma S.,Ragonnet Romain^ORCID

Funder

Australian Research Council

Publisher

Elsevier BV

Reference55 articles.

1. Protective Effect of Previous SARS-CoV-2 Infection against Omicron BA.4 and BA.5 Subvariants;Altarawneh;New England Journal of Medicine,2022

2. Vaccine effectiveness against transmission of alpha, delta and omicron SARS-COV-2-infection, Belgian contact tracing, 2021-2022;Braeye;Vaccine,2023

3. Socio-demographic characteristics of Danish blood donors;Burgdorf;PLoS One,2017

4. Understanding COVID-19 dynamics and the effects of interventions in the Philippines: A mathematical modelling study;Caldwell;The Lancet Regional Health – Western Pacific,2021

5. Protection against omicron (B.1.1.529) BA.2 reinfection conferred by primary omicron BA.1 or pre-omicron SARS-CoV-2 infection among health-care workers with and without mRNA vaccination: a test-negative case-control study;Carazo;The Lancet Infectious Diseases,2023

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