Evidence map›Paper›PMID 37151595›Full record

ArticleFrontiers in public health2023

A framework for the design, implementation, and evaluation of output-based surveillance systems against zoonotic threats.

Samantha Rivers, Maciej Kochanowski, Agnieszka Stolarek, Anna Ziętek-Barszcz, Verity Horigan, Alexander J Kent, Rob Dewar

Abstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

7 authors.

Samantha RiversAnimal and Plant Health Agency, Addlestone, United Kingdom.
Maciej KochanowskiDepartment of Swine Diseases, National Veterinary Research Institute, Puławy, Poland.
Agnieszka StolarekDepartment of Swine Diseases, National Veterinary Research Institute, Puławy, Poland.
Anna Ziętek-BarszczDepartment of Swine Diseases, National Veterinary Research Institute, Puławy, Poland.
Verity HoriganAnimal and Plant Health Agency, Addlestone, United Kingdom.
Alexander J KentNational Wildlife Management Centre, Animal and Plant Health Agency, York, United Kingdom.
Rob DewarAnimal and Plant Health Agency, Addlestone, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Output-based standards set a prescribed target to be achieved by a surveillance system, but they leave the selection of surveillance parameters, such as test type and population to be sampled, to the responsible party in the surveillance area. This allows proportionate legislative surveillance specifications to be imposed over a range of unique geographies. This flexibility makes output-based standards useful in the context of zoonotic threat surveillance, particularly where animal pathogens act as risk indicators for human health or where multiple surveillance streams cover human, animal, and food safety sectors. Yet, these systems are also heavily reliant on the appropriate choice of surveillance options to fit the disease context and the constraints of the organization implementing the surveillance system. Here we describe a framework to assist with designing, implementing, and evaluating output-based surveillance systems showing the effectiveness of a diverse range of activities through a case study example. Despite not all activities being relevant to practitioners in every context, this framework aims to provide a useful toolbox to encourage holistic and stakeholder-focused approaches to the establishment and maintenance of productive output-based surveillance systems.

Indexed as

Risk FactorsAnimalsHumansdesignevaluationframeworkimplementationoutput-basedsurveillancezoonotic

Identifiers

PMID37151595
PMCPMC10157289

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.