Learning from the COVID-19 pandemic: A systematic review of mathematical vaccine prioritization models-Reference-Cited by-同舟云学术

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Learning from the COVID-19 pandemic: A systematic review of mathematical vaccine prioritization models

Published:2024-12 Issue:4 Volume:9 Page:1057-1080
ISSN:2468-0427
Container-title:Infectious Disease Modelling
language:en
Short-container-title:Infectious Disease Modelling

Author:

González-Parra Gilberto^ORCID,Mahmud Md Shahriar^ORCID,Kadelka Claus^ORCID

Publisher

Elsevier BV

Reference159 articles.

1. COVID-19 optimal vaccination policies: A modeling study on efficacy, natural and vaccine-induced immunity responses;Acuña-Zegarra;Mathematical Biosciences,2021

2. Modeling the effects of preventive measures and vaccination on the COVID-19 spread in Benin Republic with optimal control;Agossou;Results in Physics,2021

3. Modelling the COVID-19 pandemic in context: An international participatory approach;Aguas;BMJ Global Health,2020

4. Mathematical modeling and optimal control for COVID-19 with population behavior;Al-arydah;Mathematical Methods in the Applied Sciences,2023

5. Non-pharmaceutical interventions and their relevance in the COVID-19 vaccine rollout in Saudi Arabia and Arab Gulf countries;Althobaity;Infectious Disease Modelling,2022

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