Evidence map›Paper›PMID 29653509›Full record

Observational studyBMC infectious diseases2018

Population sensitivity of acute flaccid paralysis and environmental surveillance for serotype 1 poliovirus in Pakistan: an observational study.

Kathleen M O'Reilly, Robert Verity, Elias Durry, Humayun Asghar, Salmaan Sharif, Sohail Z Zaidi, M Zubair M Wadood, Ousmane M Diop, Hiro Okayasu, Rana M Safdar and 1 more

Abstract readObservational Study
In one paragraph

Observational study in BMC infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed, 1 synthesis or guideline 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

11 authors.

Kathleen M O'ReillyMedical Research Council Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK. kathleen.oreilly@lshtm.ac.uk.
Robert VerityMedical Research Council Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK.
Elias DurryWorld Health Organization Country Office, Islamabad, Pakistan.
Humayun AsgharWorld Health Organization Eastern Mediterranean Regional Office, Cairo, Egypt.
Salmaan SharifDepartment of Virology, National Institute for Health, Chak Shahzad, Islamabad, Pakistan.
Sohail Z ZaidiDepartment of Virology, National Institute for Health, Chak Shahzad, Islamabad, Pakistan.
M Zubair M WadoodWorld Health Organization Country Office, Islamabad, Pakistan.
Ousmane M DiopPolio, Emergencies and Country Collaboration Cluster, World Health Organization, Geneva, Switzerland.
Hiro OkayasuPolio, Emergencies and Country Collaboration Cluster, World Health Organization, Geneva, Switzerland.
Rana M SafdarNational Emergency Operation Centre, Ministry of National Health Services, Regulations & Coordination, Islamabad, Pakistan.
Nicholas C GrasslyMedical Research Council Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK.

Funding

Medical Research Council MR/J014362/1Medical Research Council MR/R015600/1World Health Organization 001
6 · The paper itself

Abstract

backgroundTo support poliomyelitis eradication in Pakistan, environmental surveillance (ES) of wastewater has been expanded alongside surveillance for acute flaccid paralysis (AFP). ES is a relatively new method of surveillance, and the population sensitivity of detecting poliovirus within endemic settings requires estimation.

methodsData for wild serotype 1 poliovirus from AFP and ES from January 2011 to September 2015 from 14 districts in Pakistan were analysed using a multi-state model framework. This framework was used to estimate the sensitivity of poliovirus detection from each surveillance source and parameters such as the duration of infection within a community.

resultsThe location and timing of poliomyelitis cases showed spatial and temporal variability. The sensitivity of AFP surveillance to detect serotype 1 poliovirus infection in a district and its neighbours per month was on average 30.0% (95% CI 24.8-35.8) and increased with the incidence of poliomyelitis cases. The average population sensitivity of a single environmental sample was 59.4% (95% CI 55.4-63.0), with significant variation in site-specific estimates (median varied from 33.3-79.2%). The combined population sensitivity of environmental and AFP surveillance in a given month was on average 98.1% (95% CI 97.2-98.7), assuming four samples per month for each site.

conclusionsES can be a highly sensitive supplement to AFP surveillance in areas with converging sewage systems. As ES for poliovirus is expanded, it will be important to identify factors associated with variation in site sensitivity, leading to improved site selection and surveillance system performance.

Indexed as

PoliovirusEnvironmental MonitoringHumansIncidenceInterrupted Time Series AnalysisPakistanParalysisPoliomyelitisSerogroupSewageSewageMulti-state modelsPakistanPoliomyelitisSensitivitySewage

Identifiers

PMID29653509
PMCPMC5899327

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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.