Learning from the COVID-19 pandemic: a systematic review of mathematical vaccine prioritization models DOI Creative Commons
Gilberto González‐Parra, Md. Shahriar Mahmud, Claus Kadelka

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: March 6, 2024

As the world becomes ever more connected, chance of pandemics increases as well. The recent COVID-19 pandemic and concurrent global mass vaccine roll-out provides an ideal setting to learn from refine our understanding infectious disease models for better future preparedness. In this review, we systematically analyze categorize mathematical that have been developed design optimal prioritization strategies initially limited vaccine. older individuals are disproportionately affected by COVID-19, focus is on take age explicitly into account. lower mobility activity level gives rise non-trivial trade-offs. Secondary research questions concern time interval between doses spatial distribution. This review showcases effect various modeling assumptions model outcomes. A solid these relationships yields thus public health decisions during next pandemic.

Language: Английский

Learning from the COVID-19 pandemic: A systematic review of mathematical vaccine prioritization models DOI Creative Commons
Gilberto González‐Parra, Md. Shahriar Mahmud, Claus Kadelka

et al.

Infectious Disease Modelling, Journal Year: 2024, Volume and Issue: 9(4), P. 1057 - 1080

Published: May 15, 2024

As the world becomes ever more connected, chance of pandemics increases as well. The recent COVID-19 pandemic and concurrent global mass vaccine roll-out provides an ideal setting to learn from refine our understanding infectious disease models for better future preparedness. In this review, we systematically analyze categorize mathematical that have been developed design optimal prioritization strategies initially limited vaccine. older individuals are disproportionately affected by COVID-19, focus is on take age explicitly into account. lower mobility activity level gives rise non-trivial trade-offs. Secondary research questions concern time interval between doses spatial distribution. This review showcases effect various modeling assumptions model outcomes. A solid these relationships yields thus public health decisions during next pandemic.

Language: Английский

Citations

6
Learning from the COVID-19 pandemic: a systematic review of mathematical vaccine prioritization models DOI Creative Commons
Gilberto González‐Parra, Md. Shahriar Mahmud, Claus Kadelka

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: March 6, 2024

As the world becomes ever more connected, chance of pandemics increases as well. The recent COVID-19 pandemic and concurrent global mass vaccine roll-out provides an ideal setting to learn from refine our understanding infectious disease models for better future preparedness. In this review, we systematically analyze categorize mathematical that have been developed design optimal prioritization strategies initially limited vaccine. older individuals are disproportionately affected by COVID-19, focus is on take age explicitly into account. lower mobility activity level gives rise non-trivial trade-offs. Secondary research questions concern time interval between doses spatial distribution. This review showcases effect various modeling assumptions model outcomes. A solid these relationships yields thus public health decisions during next pandemic.

Language: Английский

Citations

0