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

и другие.

medRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Март 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.

Язык: 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

и другие.

Infectious Disease Modelling, Год журнала: 2024, Номер 9(4), С. 1057 - 1080

Опубликована: Май 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.

Язык: Английский

Процитировано

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

и другие.

medRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Март 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.

Язык: Английский

Процитировано

0