Evidence map›Paper›PMID 38123536›Full record

ArticleNature communications2023

Quantitatively assessing early detection strategies for mitigating COVID-19 and future pandemics.

Andrew Bo Liu, Daniel Lee, Amogh Prabhav Jalihal, William P Hanage, Michael Springer

Abstract read
In one paragraph

Article in Nature communications, 2023. 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

5 · Who and what money

Authors and funding

5 authors.

Andrew Bo LiuDepartment of Systems Biology, Harvard Medical School, Boston, MA, USA. andrewliu@g.harvard.edu.ORCID 0000-0003-2222-9423
Daniel LeeDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Amogh Prabhav JalihalDepartment of Systems Biology, Harvard Medical School, Boston, MA, USA.
William P HanageCenter for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0002-6319-7336
Michael SpringerDepartment of Systems Biology, Harvard Medical School, Boston, MA, USA. michael_springer@hms.harvard.edu.ORCID 0000-0002-3970-6380

Funding

RESEARCH TRAINING-MEDICAL INFORMATICS 90T15LM007092 · NLM · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Nils Gehlenborg · 1992 to 2026
$32.8M
Training Program in Bioinformatics and Integrative GenomicsT32HG002295 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Peter J Park · 2001 to 2026
$15.8M
Determining the source of missing heritabilityR01GM120122 · NIGMS · HARVARD MEDICAL SCHOOL · PI SPRINGER, MICHAEL · 2016 to 2020
$1.7M
CDC HHS 200-2016-91779NHGRI NIH HHS T32 HG002295NIGMS NIH HHS R01 GM120122NLM NIH HHS T15 LM007092
6 · The paper itself

Abstract

Researchers and policymakers have proposed systems to detect novel pathogens earlier than existing surveillance systems by monitoring samples from hospital patients, wastewater, and air travel, in order to mitigate future pandemics. How much benefit would such systems offer? We developed, empirically validated, and mathematically characterized a quantitative model that simulates disease spread and detection time for any given disease and detection system. We find that hospital monitoring could have detected COVID-19 in Wuhan 0.4 weeks earlier than it was actually discovered, at 2,300 cases (standard error: 76 cases) compared to 3,400 (standard error: 161 cases). Wastewater monitoring would not have accelerated COVID-19 detection in Wuhan, but provides benefit in smaller catchments and for asymptomatic or long-incubation diseases like polio or HIV/AIDS. Air travel monitoring does not accelerate outbreak detection in most scenarios we evaluated. In sum, early detection systems can substantially mitigate some future pandemics, but would not have changed the course of COVID-19.

Indexed as

Air TravelCOVID-19HumansPandemicsSARS-CoV-2WastewaterWastewater

Identifiers

PMID38123536
PMCPMC10733317

What OpenQuestion holds

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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.