Evidence map›Paper›PMID 30894600›Full record

ArticleScientific reports2019

Optimization and evaluation of a non-invasive tool for peste des petits ruminants surveillance and control.

Arnaud Bataille, Olivier Kwiatek, Salima Belfkhi, Lucile Mounier, Satya Parida, Mana Mahapatra, Alexandre Caron, Chobi Clement Chubwa, Julius Keyyu, Richard Kock and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

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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

12 authors at 4 institutions in 4 countries.

Arnaud BatailleCIRAD, UMR ASTRE, F-34398, Montpellier, France. arnaud.bataille@cirad.fr.ORCID 0000-0002-3508-2144
Olivier KwiatekCIRAD, UMR ASTRE, F-34398, Montpellier, France.
Salima BelfkhiCIRAD, UMR ASTRE, F-34398, Montpellier, France.
Lucile MounierASTRE, Univ Montpellier, CIRAD, INRA, Montpellier, France.
Satya ParidaThe Pirbright Institute, Ash Road, Pirbright, Woking, Surrey, UK.
Mana MahapatraThe Pirbright Institute, Ash Road, Pirbright, Woking, Surrey, UK.ORCID 0000-0002-3977-1465
Alexandre CaronASTRE, Univ Montpellier, CIRAD, INRA, Montpellier, France.ORCID 0000-0002-5213-3273
Chobi Clement ChubwaNgorongoro District Council, Arusha, Tanzania.
Julius KeyyuTanzania Wildlife Research Institute, Arusha, Tanzania.
Richard KockRoyal Veterinary College, University of London, Hatfield, UK.ORCID 0000-0002-6561-3209
Bryony A JonesRoyal Veterinary College, University of London, Hatfield, UK.
Geneviève LibeauCIRAD, UMR ASTRE, F-34398, Montpellier, France.
Centre de Coopération Internationale en Recherche Agronomique pour le Développement · FRThe Pirbright Institute · GBUniversity of London · GBTanzania Wildlife Research Institute · TZ

Funding

Biotechnology and Biological Sciences Research Council BB/L013592/1Biotechnology and Biological Sciences Research Council BB/L013657/1Biotechnology and Biological Sciences Research Council BBS/E/I/00007031Biotechnology and Biological Sciences Research Council BBS/E/I/00007034Biotechnology and Biological Sciences Research Council BBS/E/I/00007036Biotechnology and Biological Sciences Research Council BBS/E/I/00007037
6 · The paper itself

Abstract

Peste des petits ruminants (PPR) is a highly contagious and devastating viral disease affecting mainly sheep and goats, but also a large number of wild species within the order Artiodactyla. A better understanding of PPR transmission dynamics in multi-host systems is necessary to efficiently control the disease, in particular where wildlife and livestock co-occur. Notably, the role of wildlife in PPR epidemiology is still not clearly understood. Non-invasive strategies to detect PPR infection without the need for animal handling could greatly facilitate research on PPR epidemiology and management of the disease in atypical hosts and in complex field situations. Here, we describe optimized methods for the direct detection of PPR virus genetic material and antigen in fecal samples. We use these methods to determine the detection window of PPR in fecal samples, and compare the sensitivity of these methods to standard invasive sampling and PPR diagnostic methods using field samples collected at a wildlife-livestock interface in Africa. Our results show that quantitative reverse transcription PCR (RT-QPCR) amplification of PPRV from fecal swabs has good sensitivity in comparison to ocular swabs. Animals infected by PPRV could be identified relatively early on and during the whole course of infection based on fecal samples using RT-QPCR. Partial gene sequences could also be retrieved in some cases, from both fecal and ocular samples, providing important information about virus origin and relatedness to other PPRV strains. Non-invasive strategies for PPRV surveillance could provide important data to fill major gaps in our knowledge of the multi-host PPR epidemiology.

Indexed as

Epidemiological MonitoringAnimalsAnimals, WildAntigens, ViralArtiodactylaDisease ManagementDNA, ViralFecesGoatsLivestockPeste-des-Petits-RuminantsPeste-des-petits-ruminants virusSheepAntigens, ViralDNA, Viral

Identifiers

PMID30894600
PMCPMC6426962
OpenAlexW2924726536

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.