Evidence map›Paper›PMID 41362241›Full record

ReviewPest management science2026

Impacts of rodents in piggeries in Australia - review and pilot impact study.

Peter R Brown, Steve Henry

Abstract readReview
In one paragraph

Review in Pest management science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Peter R BrownCSIRO Health & Biosecurity, Canberra, Australia.ORCID https://orcid.org/0000-0001-5894-8329
Steve HenryCSIRO Health & Biosecurity, Canberra, Australia.

Funding

Australian PorkCommonwealth Scientific and Industrial Research Organisation
6 · The paper itself

Abstract

Research on the impacts of rodents in Australian piggeries has been limited. While rodent impacts are often assumed, the economic impacts and management costs are not well measured. Although the disease risk is relatively well-known, regular assessments are lacking. This review and pilot study aimed to assess existing knowledge on rodent impacts and conduct a small pilot study to gather information on their rodent problems, economic impacts, and challenges faced. The goal was to develop management strategies without relying on rodenticides. Piggery owners' main concerns about rodents include (i) disease transmission to pigs, (ii) physical damage to structures and machinery, (iii) accidental ingestion of rodenticides, (iv) control operation costs, and (v) competition for food. The potential overall cost of rodents to a piggery averaged AUD$100 000 per year (range AUD$10 000-$250 000 depending on the severity). Effective management strategies should include (1) prioritising rodent management, (2) habitat management, (3) rodenticide control, (4) physical management, (5) alternative control methods, (6) maintaining overall piggery hygiene and cleanliness, and (7) improved monitoring. There is an urgent need to better understand the ecology of pest species in piggery environments, as well as their disease and physical impacts, to develop effective management strategies and raise awareness about the importance of rodent management. © 2025 Commonwealth of Australia. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Indexed as

Animal HusbandryRodent ControlRodentiaAnimalsAustraliaPilot ProjectsSwinedisease transmissioneconomic impactsmanagement strategiesMus musculusRattus norvegicusRattus rattusrodent ecologyrodenticides

Identifiers

PMID41362241
PMCPMC12886160

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.