Evidence map›Paper›PMID 36097540›Full record

ArticleEClinicalMedicine2022

One Health timeliness metrics to track and evaluate outbreak response reporting: A scoping review.

Jane K Fieldhouse, Nistara Randhawa, Elizabeth Fair, Brian Bird, Woutrina Smith, Jonna A K Mazet

Abstract readScoping Review
In one paragraph

Article in EClinicalMedicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 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

6 authors.

Jane K FieldhouseInstitute for Global Health Sciences, University of California, San Francisco, California, USA.
Nistara RandhawaOne Health Institute, University of California, Davis, California, USA.
Elizabeth FairInstitute for Global Health Sciences, University of California, San Francisco, California, USA.
Brian BirdOne Health Institute, University of California, Davis, California, USA.
Woutrina SmithOne Health Institute, University of California, Davis, California, USA.
Jonna A K MazetInstitute for Global Health Sciences, University of California, San Francisco, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As the global population soars, human behaviours are increasing the risk of epidemics. Objective performance evaluation of outbreak responses requires that metrics of timeliness, or speed in response time, be recorded and reported. We sought to evaluate how timeliness data are being conveyed for multisectoral outbreaks and make recommendations on how One Health metrics can be used to improve response success. Methods: We conducted a scoping review of outbreaks reported January 1, 2010- March 15, 2020, in organizational reports and peer-reviewed literature on PubMed and Embase databases. We tracked 11 outbreak milestones and calculated timeliness metrics, the median time in days, between the following: 1) Findings: We identified 26783 outbreak reports, 1014 of which involved more than just the human health sector. Only six of the eleven milestones were mentioned in >50% of reports. The time between most milestones was on average shorter for outbreaks reporting both Interpretation: Tracking progress in timeliness during outbreaks can focus efforts to prevent outbreaks from evolving into epidemics or pandemics. Response to predictive alerts demonstrated improved expediency in time to most milestones. We recommend the adoption of universally defined One Health outbreak milestones, including Funding: This study was made possible by the United States Agency for International Development's One Health Workforce-Next Generation Project (Cooperative Agreement 7200AA19CA00018).

Indexed as

One HealthOutbreaksPandemic preparednessTimeliness metrics

Identifiers

PMID36097540
PMCPMC9463558

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.