An age-structured SEIR model for COVID-19 incidence in Dublin, Ireland with framework for evaluating health intervention cost

Author:

Jaouimaa Fatima-Zahra,Dempsey Daniel,Van Osch Suzanne,Kinsella Stephen,Burke Kevin,Wyse Jason,Sweeney JamesORCID

Abstract

Strategies adopted globally to mitigate the threat of COVID–19 have primarily involved lockdown measures with substantial economic and social costs with varying degrees of success. Morbidity patterns of COVID–19 variants have a strong association with age, while restrictive lockdown measures have association with negative mental health outcomes in some age groups. Reduced economic prospects may also afflict some age cohorts more than others. Motivated by this, we propose a model to describe COVID–19 community spread incorporating the role of age-specific social interactions. Through a flexible parameterisation of an age-structured deterministic Susceptible Exposed Infectious Removed (SEIR) model, we provide a means for characterising different forms of lockdown which may impact specific age groups differently. Social interactions are represented through age group to age group contact matrices, which can be trained using available data and are thus locally adapted. This framework is easy to interpret and suitable for describing counterfactual scenarios, which could assist policy makers with regard to minimising morbidity balanced with the costs of prospective suppression strategies. Our work originates from an Irish context and we use disease monitoring data from February 29th 2020 to January 31st 2021 gathered by Irish governmental agencies. We demonstrate how Irish lockdown scenarios can be constructed using the proposed model formulation and show results of retrospective fitting to incidence rates and forward planning with relevant “what if / instead of” lockdown counterfactuals. Uncertainty quantification for the predictive approaches is described. Our formulation is agnostic to a specific locale, in that lockdown strategies in other regions can be straightforwardly encoded using this model.

Funder

Science Foundation Ireland

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference44 articles.

1. Mental health before and during the COVID-19 pandemic in two longitudinal UK population cohorts;ASF Kwong;The British Journal of Psychiatry,2020

2. Darmody M, Smith E, Russell H. Implications of the COVID-19 pandemic for policy in relation to children and young people: A research review. ESRI Survey and Statistical Report Series. 2020. https://doi.org/10.26504/sustat94.

3. An SEIR Model with Contact Tracing and Age-Structured Social Mixing for COVID-19 Outbreak;A Teimouri;medRxiv,2020

4. Extensions of the SEIR Model for the Analysis of Tailored Social Distancing and Tracing Approaches to Cope with COVID-19;V Grimm;Scientific Reports,2021

5. The Effect of Control Measures on COVID-19 Transmission in South Korea;T Lee;PLOS ONE,2021

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