Evidence map›Paper›PMID 41584955›Full record

ArticleTransboundary and emerging diseases2026

Epidemiology and Risk Modelling of Influenza A Virus Within and Between Pig Herds in Northern Lao PDR.

Arata Hidano, William T M Leung, Souk Phomhacksa, Anna Durrance-Bagale, Jose A Garcia-Rivera, Anca Selariu, Robert D Hontz, Andrew G Letizia, Watthana Theppangna, James W Rudge

Abstract read
In one paragraph

Article in Transboundary and emerging diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

10 authors.

Arata HidanoCommunicable Diseases Policy Research Group, London School of Hygiene and Tropical Medicine, London, UK, lshtm.ac.uk.ORCID https://orcid.org/0000-0003-1707-5319
William T M LeungCommunicable Diseases Policy Research Group, London School of Hygiene and Tropical Medicine, London, UK, lshtm.ac.uk.
Souk PhomhacksaNational Animal Health Laboratory, Department of Livestock and Fisheries, Ministry of Agriculture and Forestry, Vientiane, Laos.
Anna Durrance-BagaleCommunicable Diseases Policy Research Group, London School of Hygiene and Tropical Medicine, London, UK, lshtm.ac.uk.
Jose A Garcia-RiveraU.S. Naval Medical Research Unit INDO PACIFIC (NAMRU INDO PACIFIC), Sembawang, Singapore.
Anca SelariuU.S. Naval Medical Research Unit INDO PACIFIC (NAMRU INDO PACIFIC), Sembawang, Singapore.
Robert D HontzU.S. Naval Medical Research Unit INDO PACIFIC (NAMRU INDO PACIFIC), Sembawang, Singapore.
Andrew G LetiziaU.S. Naval Medical Research Unit INDO PACIFIC (NAMRU INDO PACIFIC), Sembawang, Singapore.ORCID https://orcid.org/0000-0002-7361-5917
Watthana TheppangnaNational Animal Health Laboratory, Department of Livestock and Fisheries, Ministry of Agriculture and Forestry, Vientiane, Laos.
James W RudgeCommunicable Diseases Policy Research Group, London School of Hygiene and Tropical Medicine, London, UK, lshtm.ac.uk.ORCID https://orcid.org/0000-0002-3031-3820

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Animal-origin influenza A virus (IAV) is a perennial candidate for causing the next pandemic. With high risk for interspecies IAV transmission but limited resources for surveillance, particularly in rural areas of low- and middle-income countries (LMICs) such as Laos, there is a need to develop targeted, risk-based strategies for early detection of novel IAVs that may emerge in pigs. We conducted (1) a cross-sectional survey to characterise pig producer types, management practices and pig movement patterns; (2) sampling among pigs in slaughterhouses to quantify IAV seroprevalence and infection; and (3) within- and between-herd disease modelling exploring the relative importance of farm type for the IAV epidemiology. Overall, 31.3% (100/319) of sera and 1.4% (7/515) of nasal swab samples from pigs tested positive for IAV antibodies (ELISA) and viral RNA (PCR detection of IAV M-gene), respectively. Most pigs sampled were exotic breeds and supplied by commercial farms. Using hierarchical Bayesian logistic regression models, seropositivity was significantly higher among exotic breeds compared with local breeds and higher among pigs originating from provinces outside of our study area. Stochastic, individual-based models of within- and between-herd transmission were developed and calibrated for five pig producer types using the cross-sectional data from 202 study participants. The modelling results suggested sustained IAV transmission between farms was unlikely unless the probability of local transmission, independent of pig movement, was relatively high, and the initial infection was seeded in areas with higher densities of smallholders. Between-herd IAV transmission was only sustained in scenarios where persistently infected commercial farms were present to continuously seed infection among the pig smallholder network. Together, these factors underscore risks associated with livestock intensification in commercial and smallholder productions. A larger study is warranted to fully characterise the interprovincial pig movement and evaluate IAV transmission within Laos to inform the national surveillance strategy.

Indexed as

Influenza A virusOrthomyxoviridae InfectionsSwine DiseasesAnimalsCross-Sectional StudiesLaosSeroepidemiologic StudiesSwine

Identifiers

PMID41584955
PMCPMC12829471

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Registered trials

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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.