Evidence map›Paper›PMID 31364577›Full record

ArticleEpidemiology and infection2019

Time of year, age class and body condition predict Hendra virus infection in Australian black flying foxes (Pteropus alecto).

D Edson, A J Peel, L Huth, D G Mayer, M E Vidgen, L McMichael, A Broos, D Melville, J Kristoffersen, C de Jong and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Epidemiology and infection, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

32 citing papers in PubMed, 46 citations in OpenAlex.

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  9. ISME communications · 2025
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  11. Molecular determinants of cross-species transmission in emerging viral infections.Microbiology and molecular biology reviews : MMBR · 2024
    Review
  12. Article
  13. Review
  14. Native and non-native winter foraging resources do not explainFrontiers in ecology and evolution · 2024
    Article
  15. Review
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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 3 countries.

D EdsonBiosecurity Queensland,Department of Agriculture and Fisheries, Coopers Plains,Queensland,Australia.
A J PeelEnvironmental Futures Research Institute,Griffith University,Nathan,Queensland,Australia.
L HuthBiosecurity Queensland,Department of Agriculture and Fisheries, Coopers Plains,Queensland,Australia.
D G MayerBiosecurity Queensland,Department of Agriculture and Fisheries, Coopers Plains,Queensland,Australia.
M E VidgenBiosecurity Queensland,Department of Agriculture and Fisheries, Coopers Plains,Queensland,Australia.
L McMichaelBiosecurity Queensland,Department of Agriculture and Fisheries, Coopers Plains,Queensland,Australia.
A BroosBiosecurity Queensland,Department of Agriculture and Fisheries, Coopers Plains,Queensland,Australia.
D MelvilleBiosecurity Queensland,Department of Agriculture and Fisheries, Coopers Plains,Queensland,Australia.
J KristoffersenBiosecurity Queensland,Department of Agriculture and Fisheries, Coopers Plains,Queensland,Australia.
C de JongBiosecurity Queensland,Department of Agriculture and Fisheries, Coopers Plains,Queensland,Australia.
A McLaughlinBiosecurity Queensland,Department of Agriculture and Fisheries, Coopers Plains,Queensland,Australia.
H E FieldBiosecurity Queensland,Department of Agriculture and Fisheries, Coopers Plains,Queensland,Australia.ORCID 0000-0002-4671-7002
Department of Primary Industries · AUGriffith University · AUMRC University of Glasgow Centre for Virus Research · GBThe University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hendra virus (HeV) continues to cause fatal infection in horses and threaten infection in close-contact humans in eastern Australia. Species of Pteropus bats (flying-foxes) are the natural reservoir of the virus. We caught and sampled flying-foxes from a multispecies roost in southeast Queensland, Australia on eight occasions between June 2013 and June 2014. The effects of sample date, species, sex, age class, body condition score (BCS), pregnancy and lactation on HeV antibody prevalence, log-transformed median fluorescent intensity (lnMFI) values and HeV RNA status were assessed using unbalanced generalised linear models. A total of 1968 flying-foxes were sampled, comprising 1012 Pteropus alecto, 742 P. poliocephalus and 214 P. scapulatus. Sample date, species and age class were each statistically associated with HeV RNA status, antibody status and lnMFI values; BCS was statistically associated with HeV RNA status and antibody status. The findings support immunologically naïve sub-adult P. alecto playing an important role in maintaining HeV infection at a population level. The biological significance of the association between BCS and HeV RNA status, and BCS and HeV antibody status, is less clear and warrants further investigation. Contrary to previous studies, we found no direct association between HeV infection and pregnancy or lactation. The findings in P. poliocephalus suggest that HeV exposure in this species may not result in systemic infection and virus excretion, or alternatively, may reflect assay cross-reactivity with another (unidentified) henipavirus.

Indexed as

Age FactorsAnimalsAntibodies, ViralAustraliaBody CompositionChiropteraDisease OutbreaksDisease Transmission, InfectiousFemaleHendra VirusHenipavirus InfectionsHorse DiseasesHorsesHumansPregnancyPrevalenceAntibodies, ViralRNA, ViralEmerging infectionsequine diseaseinfectious disease epidemiologypublic health-emerging infectionszoonoses

Identifiers

PMID31364577
PMCPMC6625375
OpenAlexW2961264105

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.