Transmission routes of rare seasonal diseases: the case of norovirus infections

Rushton, Stephen P., Sanderson, Roy A., Reid, William D. K., Shirley, Mark D. F., Harris, John, Hunter, Paul ORCID: https://orcid.org/0000-0002-5608-6144 and O'Brien, Sarah J. (2019) Transmission routes of rare seasonal diseases: the case of norovirus infections. Philosophical Transactions of the Royal Society B: Biological Sciences, 374 (1776). ISSN 0962-8436

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Abstract

Norovirus (NoV) is the most commonly recognized cause of acute gastroenteritis, with over a million cases globally per year. While usually self-limiting, NoV poses a substantial economic burden because it is highly contagious and there are multiple transmission routes. Infection occurs through inhalation of vomitus; faecal-oral spread; and food, water and environmental contamination. While the incidence of the disease is predictably seasonal, much less is known about the relative contribution of the various exposure pathways in causing disease. Additionally, asymptomatic excretion and viral shedding make forecasting disease burden difficult. We develop a novel stochastic dynamic network model to investigate the contributions of different transmission pathways in multiple coupled social networks representing schools, hospitals, care-homes and family households in a community setting. We analyse how the networks impact on transmission. We used ward-level demographic data from Northumberland, UK to create a simulation cohort. We compared the results with extant data on NoV cases from the IID2 study. Connectivity across the simulated cohort was high. Cases of NoV showed marked seasonality, peaking in early winter and declining through the summer. For the first time, we show that fomites and food appear to be the most important exposure routes in determining the population burden of disease. This article is part of the theme issue ‘Modelling infectious disease outbreaks in humans, animals and plants: epidemic forecasting and control’. This theme issue is linked with the earlier issue ‘Modelling infectious disease outbreaks in humans, animals and plants: approaches and important themes’.

Item Type: Article
Uncontrolled Keywords: sdg 3 - good health and well-being ,/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being
Faculty \ School: Faculty of Medicine and Health Sciences > Norwich Medical School
University of East Anglia Research Groups/Centres > Theme - ClimateUEA
UEA Research Groups: Faculty of Medicine and Health Sciences > Research Groups > Public Health and Health Services Research (former - to 2023)
Faculty of Social Sciences > Research Centres > Water Security Research Centre
Faculty of Medicine and Health Sciences > Research Groups > Epidemiology and Public Health
Faculty of Medicine and Health Sciences > Research Centres > Population Health
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Depositing User: LivePure Connector
Date Deposited: 21 May 2019 09:30
Last Modified: 19 Oct 2023 02:27
URI: https://ueaeprints.uea.ac.uk/id/eprint/71080
DOI: 10.1098/rstb.2018.0267

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