Translating surveillance data into incidence estimates

A - Papers appearing in refereed journals

Bourhis, Y., Gotwald, T. R. and Van Den Bosch, F. 2019. Translating surveillance data into incidence estimates. Philosophical Transactions of the Royal Society B-Biological Sciences. 374 (1776).

AuthorsBourhis, Y., Gotwald, T. R. and Van Den Bosch, F.
Abstract

Monitoring a population for a disease requires the hosts to be sampled and tested for the pathogen. This results in sampling series from which we may estimate the disease incidence, i.e. the proportion of hosts infected. Existing estimation methods assume that disease incidence does not change between monitoring rounds, resulting in an underestimation of the disease incidence. In this paper we develop an incidence estimation model accounting for epidemic growth with monitoring rounds that sample varying incidence. We also show how to accommodate the asymptomatic period that is characteristic of most diseases. For practical use, we produce an approximation of the model, which is subsequently shown to be accurate for relevant epidemic and sampling parameters. Both the approximation and the full model are applied to stochastic spatial simulations of epidemics. The results prove their consistency for a very wide range of situations. The estimation model is made available as an online application.
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’.

KeywordsDisease Surveillance; Sampling Theory; Spatial Epidemiology
Year of Publication2019
JournalPhilosophical Transactions of the Royal Society B-Biological Sciences
Journal citation374 (1776)
Digital Object Identifier (DOI)doi:10.1098/rstb.2018.0262
Web address (URL)https://royalsocietypublishing.org/doi/10.1098/rstb.2018.0262
Open accessPublished as non-open access
Funder project or codeBBSRC Strategic Programme in Smart Crop Protection
FunderBBSRC Newton funding
Accepted author manuscriptPhilTransB.pdf
Output statusPublished
Publication dates
Print20 May 2019
Publication process dates
Accepted08 Feb 2019
PublisherRoyal Society Publishing
ISSN0962-8436

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