Evidence map›Paper›PMID 35582812›Full record

ArticleJournal of the Royal Society, Interface2022

The role of time-varying viral shedding in modelling environmental surveillance for public health: revisiting the 2013 poliovirus outbreak in Israel.

Andrew F Brouwer, Marisa C Eisenberg, Lester M Shulman, Michael Famulare, James S Koopman, Steve J Kroiss, Musa Hindiyeh, Yossi Manor, Itamar Grotto, Joseph N S Eisenberg

Open access · greenAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

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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

10 authors at 5 institutions in 2 countries.

Andrew F BrouwerDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-3779-5287
Marisa C EisenbergDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, USA.
Lester M ShulmanCentral Virology Laboratory, Chaim Sheba Medical Center, Tel-Hashomer, Israel.
Michael FamulareInstitute for Disease Modeling, Bellevue, WA, USA.
James S KoopmanDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, USA.
Steve J KroissInstitute for Disease Modeling, Bellevue, WA, USA.
Musa HindiyehCentral Virology Laboratory, Chaim Sheba Medical Center, Tel-Hashomer, Israel.
Yossi ManorCentral Virology Laboratory, Chaim Sheba Medical Center, Tel-Hashomer, Israel.
Itamar GrottoMinistry of Health, Jerusalem, Israel.
Joseph N S EisenbergDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, USA.
University of Michigan · USBellevue Hospital Center · USSheba Medical Center · ILBen-Gurion University of the Negev · ILTel Aviv University · IL

Funding

Understanding Transmission with Integrated Genetic and Epidemiologic InferenceU54GM111274 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI KOOPMAN, JAMES STEPHEN · 2014 to 2018
$12.5M
Modeling the Effects of the Environment on Enteric Pathogen DynamicsU01GM110712 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI EISENBERG, JOSEPH N. S. · 2014 to 2018
$3.0M
NIGMS NIH HHS U01 GM110712NIGMS NIH HHS U54 GM111274
6 · The paper itself

Abstract

Environmental pathogen surveillance is a sensitive tool that can detect early-stage outbreaks, and it is being used to track poliovirus and other pathogens. However, interpretation of longitudinal environmental surveillance signals is difficult because the relationship between infection incidence and viral load in wastewater depends on time-varying shedding intensity. We developed a mathematical model of time-varying poliovirus shedding intensity consistent with expert opinion across a range of immunization states. Incorporating this shedding model into an infectious disease transmission model, we analysed quantitative, polymerase chain reaction data from seven sites during the 2013 Israeli poliovirus outbreak. Compared to a constant shedding model, our time-varying shedding model estimated a slower peak (four weeks later), with more of the population reached by a vaccination campaign before infection and a lower cumulative incidence. We also estimated the population shed virus for an average of 29 days (95% CI 28-31), longer than expert opinion had suggested for a population that was purported to have received three or more inactivated polio vaccine (IPV) doses. One explanation is that IPV may not substantially affect shedding duration. Using realistic models of time-varying shedding coupled with longitudinal environmental surveillance may improve our understanding of outbreak dynamics of poliovirus, SARS-CoV-2, or other pathogens.

Indexed as

COVID-19PoliomyelitisPoliovirusDisease OutbreaksEnvironmental MonitoringHumansInfantIsraelPoliovirus Vaccine, InactivatedPoliovirus Vaccine, OralPublic HealthSARS-CoV-2Virus SheddingPoliovirus Vaccine, InactivatedPoliovirus Vaccine, Oralenvironmental surveillanceinfectious disease modelpoliovirusviral sheddingwastewater surveillance

Identifiers

PMID35582812
PMCPMC9114981
OpenAlexW4280575422

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.