Abstract
Epidemiological dynamics are affected by the spatial and demographic structure of the host population. Households and neighbourhoods are known to be important groupings but little is known about the epidemiological interplay between them. In order to explore the implications for infectious disease epidemiology of households with similar demographic structures clustered in space we develop a multi-scale epidemic model consisting of neighbourhoods of households. In our analysis we focus on key parameters which control household size, the importance of transmission within households relative to outside of them, and the degree to which the non-household transmission is localised within neighbourhoods. We construct the household reproduction number R∗ over all neighbourhoods and derive the analytic probability of an outbreak occurring
from a single infected individual in a specific neighbourhood. We find that reduced localisation of transmission within neighbourhoods reduces R∗ when household size differs between neighbourhoods. This effect is amplified by larger differences between household sizes and larger divergence between transmission rates within households and outside of them. However, the impact of neighbourhoods with larger household sizes on an individual’s risk of infection is mainly limited to the individuals that reside in those neighbourhoods. We consider various surveillance scenarios and show that household size information from the initial infectious cases is often more important than neighbourhood information while household size and neighbourhood localisation influences the sequence of neighbourhoods in which an outbreak is observed.
from a single infected individual in a specific neighbourhood. We find that reduced localisation of transmission within neighbourhoods reduces R∗ when household size differs between neighbourhoods. This effect is amplified by larger differences between household sizes and larger divergence between transmission rates within households and outside of them. However, the impact of neighbourhoods with larger household sizes on an individual’s risk of infection is mainly limited to the individuals that reside in those neighbourhoods. We consider various surveillance scenarios and show that household size information from the initial infectious cases is often more important than neighbourhood information while household size and neighbourhood localisation influences the sequence of neighbourhoods in which an outbreak is observed.
Original language | English |
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Article number | 50 |
Journal | Bulletin of Mathematical Biology |
Volume | 87 |
Early online date | 27 Feb 2025 |
DOIs | |
Publication status | E-pub ahead of print - 27 Feb 2025 |
Data Availability Statement
No new data were created during the study.Acknowledgements
This work is supported by a scholarship from the EPSRC Centre for Doctoral Training in Statistical Applied Mathematics at Bath (SAMBa), under the project EP/S022945/1. For the purpose of open access, the author has applied a Creative Commons Attribution (CC-BY) licence to any Author Accepted Manuscript version arising. We thank the two referees for their useful feedback.Funding
This work is supported by a scholarship from the EPSRC Centre for Doctoral Training in Statistical Applied Mathematics at Bath (SAMBa), under the project EP/S022945/1
Funders | Funder number |
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Engineering and Physical Sciences Research Council | EP/S022945/1 |