Evidence map›Paper›PMID 35072146›Full record

ArticleLancet regional health. Americas2022

Cost-effective proactive testing strategies during COVID-19 mass vaccination: A modelling study.

Zhanwei Du, Lin Wang, Yuan Bai, Xutong Wang, Abhishek Pandey, Meagan C Fitzpatrick, Matteo Chinazzi, Ana Pastore Y Piontti, Nathaniel Hupert, Michael Lachmann and 4 more

Abstract read
In one paragraph

Article in Lancet regional health. Americas, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  12. Modeling of the Small-Scale Outbreak of COVID-19.Frontiers in public health · 2022
    Article
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

14 authors.

Zhanwei DuWHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
Lin WangDepartment of Genetics, University of Cambridge, Cambridge, UK.
Yuan BaiWHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
Xutong WangThe University of Texas at Austin, Austin, Texas, USA.
Abhishek PandeyCenter for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT, USA.
Meagan C FitzpatrickCenter for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT, USA.
Matteo ChinazziLaboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA, USA.
Ana Pastore Y PionttiLaboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA, USA.
Nathaniel HupertPopulation Health Sciences, Weill Cornell Medicine and Cornell Institute for Disease and Disaster Preparedness, New York, NY, USA.
Michael LachmannSanta Fe Institute, Santa Fe, NM, USA.
Alessandro VespignaniLaboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA, USA.
Alison P GalvaniCenter for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT, USA.
Benjamin J CowlingWHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
Lauren Ancel MeyersThe University of Texas at Austin, Austin, Texas, USA.

Funding

Impacts of Individual and Social Behavior on Influenza Dynamics and ControlU01GM087719 · NIGMS · YALE UNIVERSITY · PI GALVANI, ALISON P, MEYERS, LAUREN ANCEL · 2009 to 2018
$6.3M
Accelerating viral outbreak detection in US cities using mechanistic models, machine learning and diverse geospatial dataR01AI151176 · NIAID · YALE UNIVERSITY · PI GALVANI, ALISON P, MEYERS, LAUREN ANCEL · 2020 to 2024
$3.9M
RFA-IP-20-003, FluMod - Center for the Multiscale Modeling of Pandemic and seasonal Flu Prevention and ControlU01IP001137 · IP · NORTHEASTERN UNIVERSITY · PI VESPIGNANI, ALESSANDRO · 2020 to 2024
$3.4M
RFA-IP-22-004, Modeling toolkit to evaluate multifaceted control strategies for seasonal and pandemic influenzaU01IP001136 · IP · UNIVERSITY OF TEXAS AT AUSTIN · PI MEYERS, LAUREN ANCEL · 2020 to 2024
$3.4M
Mathematical modeling to optimize rotavirus vaccination in sub-Saharan AfricaK01AI141576 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI FITZPATRICK, MEAGAN COLLEEN · 2019 to 2023
$649k
ACL HHS U01IP001137NCIRD CDC HHS U01 IP001136NCIRD CDC HHS U01 IP001137NIAID NIH HHS K01 AI141576NIAID NIH HHS R01 AI151176NIGMS NIH HHS U01 GM087719
6 · The paper itself

Abstract

backgroundAs SARS-CoV-2 vaccines are administered worldwide, the COVID-19 pandemic continues to exact significant human and economic costs. Mass testing of unvaccinated individuals followed by isolation of positive cases can substantially mitigate risks and be tailored to local epidemiological conditions to ensure cost effectiveness.

methodsUsing a multi-scale model that incorporates population-level SARS-CoV-2 transmission and individual-level viral load kinetics, we identify the optimal frequency of proactive SARS-CoV-2 testing, depending on the local transmission rate and proportion immunized.

findingsAssuming a willingness-to-pay of US$100,000 per averted year of life lost (YLL) and a price of $10 per test, the optimal strategy under a rapid transmission scenario (

interpretationMass proactive testing and case isolation is a cost effective strategy for mitigating the COVID-19 pandemic in the initial stages of the global SARS-CoV-2 vaccination campaign and in response to resurgences of vaccine-evasive variants.

fundingUS National Institutes of Health, US Centers for Disease Control and Prevention, HK Innovation and Technology Commission, China National Natural Science Foundation, European Research Council, and EPSRC Impact Acceleration Grant.

Indexed as

Cost-effectivenessCOVID-19ModellingSARS-CoV-2TestingVaccination

Identifiers

PMID35072146
PMCPMC8759769

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.