Who Acquires Infection from Whom? A Sensitivity Analysis of Transmission Dynamics During the Early Phase of the Covid-19 Pandemic in Belgium

29 Pages Posted: 18 May 2023

See all articles by Leonardo Angeli

Leonardo Angeli

Hasselt University

Constantino Pereira Caetano

National Health Institute Doutor Ricardo Jorge (INSA)

Nicolas Franco

Hasselt University

Steven Abrams

Interuniversity Institute for Biostatistics and statistical Bioinformatics (IBioStat) - Data Science Institute

Pietro Coletti

Hasselt University

Inneke Van Nieuwenhuyse

Hasselt University

Sorin Pop

Hasselt University

Niel Hens

Interuniversity Institute for Biostatistics and statistical Bioinformatics (IBioStat) - Data Science Institute

Abstract

Age-related heterogeneity in a host population, whether due to how individuals mix and contact each other, the nature of host-pathogen interactions defining epidemiological parameters, or demographics, is crucial in studying infectious disease dynamics. Compartmental models represent a popular approach to address the problem, dividing the population of interest into a discrete and finite number of states depending on, for example, individuals’ age and stage of infection. The study of the corresponding linearised system can be related to that of a linear operator. In the context of a discrete-time model, this equates to a square matrix referred to as the next generation matrix. Performing formal perturbation analysis of the entries of the aforementioned matrix, we derive indices to quantify the age-specific variation of its dominant eigenvalue (i.e., the reproduction number) and explore the relevant epidemiological information we can derive from the eigenstructure of the matrix. The resulting method enables the assessment of the impact of age-related population heterogeneity on virus transmission. In particular, starting from an age-structured SEIR model, we demonstrate the use of this approach for COVID-19 dynamics in Belgium and show how to quantify its impact via user-friendly indices. We analyze the early stages of the SARS-CoV-2 spread with particular attention to the pre-pandemic framework and the lockdown lifting phase initiated as of May 2020, following the first lockdown period. Our results support the hypothesis that transmission is only influenced to a small extent by children in the age band [0,18) and by adults over 60 years of age during the early phases of the pandemic up to the end of July 2020.

Note:
Funding Information: This project has received funding from the European Union's Horizon 2020 research and innovation programme - project EpiPose (Grant agreement number 101003688). This work reflects only the authors’ view. The European Commission is not responsible for any use that may be made of the information it contains. This project was supported by the ESCAPE project (101095619), funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or European Health and Digital Executive Agency (HADEA). Neither the European Union nor the granting authority can be held responsible for them. Constantino Pereira Caetano acknowledges the funding by Fundação para a Ciência e a Tecnologia (FCT.BD.

Declaration of Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Keywords: Sensitivity, Next generation operator, Basic Reproduction Number

Suggested Citation

Angeli, Leonardo and Caetano, Constantino Pereira and Franco, Nicolas and Abrams, Steven and Coletti, Pietro and Van Nieuwenhuyse, Inneke and Pop, Sorin and Hens, Niel, Who Acquires Infection from Whom? A Sensitivity Analysis of Transmission Dynamics During the Early Phase of the Covid-19 Pandemic in Belgium. Available at SSRN: https://ssrn.com/abstract=4445989 or http://dx.doi.org/10.2139/ssrn.4445989

Leonardo Angeli (Contact Author)

Hasselt University ( email )

Constantino Pereira Caetano

National Health Institute Doutor Ricardo Jorge (INSA) ( email )

Nicolas Franco

Hasselt University ( email )

Steven Abrams

Interuniversity Institute for Biostatistics and statistical Bioinformatics (IBioStat) - Data Science Institute ( email )

Belgium

Pietro Coletti

Hasselt University ( email )

Inneke Van Nieuwenhuyse

Hasselt University

Sorin Pop

Hasselt University ( email )

Niel Hens

Interuniversity Institute for Biostatistics and statistical Bioinformatics (IBioStat) - Data Science Institute ( email )

Belgium

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
92
Abstract Views
531
Rank
569,056
PlumX Metrics