Evidence map›Paper›PMID 25712325›Full record

ArticleEpidemiology and infection2015

Comparative evaluation of three surveillance systems for infectious equine diseases in France and implications for future synergies.

J P Amat, P Hendrikx, J Tapprest, A Leblond, B Dufour

Open access · hybridAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Epidemiology and infection, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 19% of its field
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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

5 authors at 3 institutions in 1 country.

J P AmatNational Institute for Agricultural Research (INRA),UR346 Epidémiologie Animale,Saint-Genès-Champanelle,France.
P HendrikxANSES,Direction of Laboratories,Lyon,France.
J TapprestFrench Agency for Food, Environmental and Occupational Health Safety (ANSES),Dozulé Laboratory for Equine Diseases,Goustranville,France.
A LeblondNational Institute for Agricultural Research (INRA),UR346 Epidémiologie Animale,Saint-Genès-Champanelle,France.
B DufourVeterinary School of Maisons-Alfort (ENVA),EpiMAI Unit ENVA-Joint Anses,Maisons-Alfort,France.
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement · FRAgence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail · FRÉcole Nationale Vétérinaire d'Alfort · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is necessary to assess surveillance systems for infectious animal diseases to ensure they meet their objectives and provide high-quality health information. Each system is generally dedicated to one disease and often comprises various components. In many animal industries, several surveillance systems are implemented separately even if they are based on similar components. This lack of synergy may prevent optimal surveillance. The purpose of this study was to assess several surveillance systems within the same industry using the semi-quantitative OASIS method and to compare the results of the assessments in order to propose improvements, including future synergies. We have focused on the surveillance of three major equine diseases in France. We have identified the mutual and specific strengths and weaknesses of each surveillance system. Furthermore, the comparative assessment has highlighted many possible synergies that could improve the effectiveness and efficiency of surveillance as a whole, including the implementation of new joint tools or the pooling of existing teams, tools or skills. Our approach is an original application of the OASIS method, which requires minimal financial resources and is not very time-consuming. Such a comparative evaluation could conceivably be applied to other surveillance systems, other industries and other countries. This approach would be especially relevant to enhance the efficiency of surveillance activities when resources are limited.

Indexed as

Epidemiological MonitoringAnimalsCommunicable DiseasesFranceHorse DiseasesHorsesEpidemiologyequine diseasesurveillancesurveillance system

Identifiers

PMID25712325
PMCPMC4595862
OpenAlexW2117423401

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.