Evidence map›Paper›PMID 28065171›Full record

ReviewEpidemiology and infection2017

Zoonotic diseases in South American camelids in England and Wales.

K Halsby, D F Twomey, C Featherstone, A Foster, A Walsh, K Hewitt, D Morgan

Open access · bronzeAbstract readReview
In one paragraph

Review in Epidemiology and infection, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.2field-weighted citation impact, top 26% 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

18 citing papers in PubMed, 30 citations in OpenAlex.

  1. Alpaca Keeping in Hungary: The First Nationwide Survey.Animals : an open access journal from MDPI · 2026
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  10. Epidemiology of sarcoptic mange in free-ranging vicuñas (Vicugna vicugna): a cross-sectional study in Andean highland communities in Peru.Revista brasileira de parasitologia veterinaria = Brazilian journal of veterinary parasitology : Orgao Oficial do Colegio Brasileiro de Parasitologia Veterinaria · 2024
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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

7 authors at 4 institutions in 1 country.

K HalsbyEmerging Infections and Zoonoses Section,National Infections Service,Public Health England,Colindale,London,UK.
D F TwomeyAnimal and Plant Health Agency,Staplake Mount,Starcross,Exeter,Devon,UK.
C FeatherstoneAnimal and Plant Health Agency,West House,Station Road,Thirsk,North Yorkshire,UK.
A FosterSchool of Veterinary Sciences,University of Bristol,Langford House,Langford,UK.
A WalshEmerging Infections and Zoonoses Section,National Infections Service,Public Health England,Colindale,London,UK.
K HewittLondon Deanery,Russell Square,London,UK.ORCID 0000-0003-3044-019X
D MorganEmerging Infections and Zoonoses Section,National Infections Service,Public Health England,Colindale,London,UK.
Public Health England · GBAnimal and Plant Health Agency · GBLondon Postgraduate Medical and Dental Education · GBUniversity of Bristol · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The number of South American camelids (SACs) in England and Wales is increasing and with this comes a risk of new and emerging infections. Although classified as livestock, these animals are also treated as pets and may be in regular contact with humans. This paper reviews zoonotic diseases that have been identified in SACs in England and Wales, and which pose a potential risk to human health. We also highlight the importance of surveillance continuing to capture information on infections in SACs for the protection of both public and animal health.

Indexed as

Camelids, New WorldAnimalsEnglandWalesZoonosesEpidemiologyzoonoses

Identifiers

PMID28065171
PMCPMC9507822
OpenAlexW2570077714

What OpenQuestion holds

Textmetadata
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.