Evidence map›Paper›PMID 32398193›Full record

ArticleEpidemiology and infection2020

Surveillance optimisation to detect poliovirus in the pre-eradication era: a modelling study of England and Wales.

K M O'Reilly, N C Grassly, D J Allen, M Bannister-Tyrrell, A Cameron, A I Carrion Martin, M Ramsay, R Pebody, M Zambon

Abstract read
In one paragraph

Article in Epidemiology and infection, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

K M O'ReillyDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.ORCID 0000-0002-4892-8022
N C GrasslyDepartment of Infectious Disease Epidemiology, MRC Centre for Outbreak Analysis and Modelling, St Mary's Campus, Imperial College London, London, UK.
D J AllenDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, London, UK.
M Bannister-TyrrellAusvet Europe, 3 Rue Camille Jordan, 69001Lyon, France.
A CameronAusvet, 5 Shuffrey Street, Fremantle, WA6160, Australia.
A I Carrion MartinNational Infection Service, Public Health England, London, UK.
M RamsayNational Infection Service, Public Health England, London, UK.
R PebodyNational Infection Service, Public Health England, London, UK.ORCID 0000-0002-9069-2885
M ZambonNational Infection Service, Public Health England, London, UK.

Funding

Medical Research Council MR/J014362/1Medical Research Council MR/R015600/1
6 · The paper itself

Abstract

Surveillance for acute flaccid paralysis (AFP) cases are essential for polio eradication. However, as most poliovirus infections are asymptomatic and some regions of the world are inaccessible, additional surveillance tools require development. Within England and Wales, we demonstrate how inclusion of environmental sampling (ENV) improves the sensitivity of detecting both wild and vaccine-derived polioviruses (VDPVs) when compared to current surveillance. Statistical modelling was used to estimate the spatial risk of wild and VDPV importation and circulation in England and Wales. We estimate the sensitivity of each surveillance mode to detect poliovirus and the probability of being free from poliovirus, defined as being below a pre-specified prevalence of infection. Poliovirus risk was higher within local authorities in Manchester, Birmingham, Bradford and London. The sensitivity of detecting wild poliovirus within a given month using AFP and enterovirus surveillance was estimated to be 0.096 (95% CI 0.055-0.134). Inclusion of ENV in the three highest risk local authorities and a site in London increased surveillance sensitivity to 0.192 (95% CI 0.191-0.193). The sensitivity of ENV strategies can be compared using the framework by varying sites and the frequency of sampling. The probability of being free from poliovirus slowly increased from the date of the last case in 1993. ENV within areas thought to have the highest risk improves detection of poliovirus, and has the potential to improve confidence in the polio-free status of England and Wales and detect VDPVs.

Indexed as

Models, BiologicalEmigrants and ImmigrantsEnglandHumansPoliomyelitisPoliovirusPopulation SurveillanceRetrospective StudiesWalesPoliosurveillancesurveillance systemvirology (human) and epidemiology

Identifiers

PMID32398193
PMCPMC7379320

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.