Norovirus transmission dynamics: a modelling review

Norovirus is one of the leading causes of viral gastroenteritis worldwide and responsible for substantial morbidity, mortality and healthcare costs. To further understanding of the epidemiology and control of norovirus, there has been much recent interest in describing the transmission dynamics of n...

Full description

Saved in:
Bibliographic Details
Published in:Epidemiology and infection 2018-01, Vol.146 (2), p.147-158
Main Authors: Gaythorpe, K A M, Trotter, C L, Lopman, B, Steele, M, Conlan, A J K
Format: Article
Language:English
Subjects:
Age
Caliciviridae Infections - epidemiology
Caliciviridae Infections - transmission
Disease Outbreaks
Disease transmission
Epidemics
Epidemiology
Gastroenteritis
Gastroenteritis - epidemiology
Gastroenteritis - virology
Health care
Humans
Immunology
Infections
Infectious diseases
Mathematical models
Models, Theoretical
Morbidity
Norovirus
Outbreaks
Parameter estimation
Parameter robustness
Population
Population studies
Reviews
Robustness (mathematics)
Viruses
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Norovirus is one of the leading causes of viral gastroenteritis worldwide and responsible for substantial morbidity, mortality and healthcare costs. To further understanding of the epidemiology and control of norovirus, there has been much recent interest in describing the transmission dynamics of norovirus through mathematical models. In this study, we review the current modelling approaches for norovirus transmission. We examine the data and methods used to estimate these models that vary structurally and parametrically between different epidemiological contexts. Many of the existing studies at population level have focused on the same case notification dataset, whereas models from outbreak settings are highly specific and difficult to generalise. In this review, we explore the consistency in the description of norovirus transmission dynamics and the robustness of parameter estimates between studies. In particular, we find that there is considerable variability in estimates of key parameters such as the basic reproduction number, which may mean that the effort required to control norovirus at the population level may currently be underestimated.
ISSN:0950-2688
1469-4409
DOI:10.1017/S0950268817002692