Evidence map›Paper›PMID 34138840›Full record

ArticlePLoS biology2021

Strategic testing approaches for targeted disease monitoring can be used to inform pandemic decision-making.

James D Nichols, Tiffany L Bogich, Emily Howerton, Ottar N Bjørnstad, Rebecca K Borchering, Matthew Ferrari, Murali Haran, Christopher Jewell, Kim M Pepin, William J M Probert and 5 more

Abstract read
In one paragraph

Article in PLoS biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

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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

15 authors.

James D NicholsU.S. Geological Survey, Eastern Ecological Science Center at the Patuxent Research Refuge, Laurel, Maryland, United States of America.ORCID 0000-0002-7631-2890
Tiffany L BogichDepartment of Biology, The Pennsylvania State University, University Park, Pennsylvania, United States of America.ORCID 0000-0002-8143-5289
Emily HowertonDepartment of Biology, The Pennsylvania State University, University Park, Pennsylvania, United States of America.ORCID 0000-0002-0639-3728
Ottar N BjørnstadDepartment of Biology, The Pennsylvania State University, University Park, Pennsylvania, United States of America.ORCID 0000-0002-1158-3753
Rebecca K BorcheringDepartment of Biology, The Pennsylvania State University, University Park, Pennsylvania, United States of America.ORCID 0000-0003-4309-2913
Matthew FerrariDepartment of Biology, The Pennsylvania State University, University Park, Pennsylvania, United States of America.ORCID 0000-0001-5251-8168
Murali HaranDepartment of Statistics, The Pennsylvania State University, University Park, Pennsylvania, United States of America.ORCID 0000-0003-4440-8625
Christopher JewellLancaster Medical School, Lancaster University, Lancaster, United Kingdom.ORCID 0000-0002-7902-2178
Kim M PepinNational Wildlife Research Center, United States Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, Fort Collins, Colorado, United States of America.ORCID 0000-0002-9931-8312
William J M ProbertBig Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-3437-759X
Juliet R C PulliamSouth African DSI-NRF Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Cape Town, Western Cape, South Africa.ORCID 0000-0003-3314-8223
Michael C RungeU.S. Geological Survey, Eastern Ecological Science Center at the Patuxent Research Refuge, Laurel, Maryland, United States of America.ORCID 0000-0002-8081-536X
Michael TildesleyZeeman Institute: Systems Biology and Infectious Disease Epidemiology Research (SBIDER), Mathematics Institute and School of Life Sciences, University of Warwick, Coventry, United Kingdom.
Cécile ViboudFogarty International Center, National Institutes of Health, Bethesda, Maryland, United States of America.ORCID 0000-0003-3243-4711
Katriona SheaDepartment of Biology, The Pennsylvania State University, University Park, Pennsylvania, United States of America.ORCID 0000-0002-7607-8248

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

More than 1.6 million Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) tests were administered daily in the United States at the peak of the epidemic, with a significant focus on individual treatment. Here, we show that objective-driven, strategic sampling designs and analyses can maximize information gain at the population level, which is necessary to increase situational awareness and predict, prepare for, and respond to a pandemic, while also continuing to inform individual treatment. By focusing on specific objectives such as individual treatment or disease prediction and control (e.g., via the collection of population-level statistics to inform lockdown measures or vaccine rollout) and drawing from the literature on capture-recapture methods to deal with nonrandom sampling and testing errors, we illustrate how public health objectives can be achieved even with limited test availability when testing programs are designed a priori to meet those objectives.

Indexed as

Epidemiological MonitoringPandemicsCOVID-19COVID-19 TestingHumansPublic HealthResource AllocationSARS-CoV-2Sentinel SurveillanceUnited States

Identifiers

PMID34138840
PMCPMC8241114

What OpenQuestion holds

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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.