Evidence map›Paper›PMID 41141933›Full record

ArticleOne health (Amsterdam, Netherlands)2025

Projecting the impacts of climate and land-use change on avian influenza suitability in Bangladesh.

Adam C Castonguay, Sukanta Chowdhury, Ireen Sultana Shanta, Bente Schrijver, Remco Schrijver, Mohammad Mahmudul Hassan, Shiyong Wang, Ricardo J Soares Magalhães

Abstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

8 authors.

Adam C CastonguayCommonwealth Scientific and Industrial Research Organisation, St Lucia, Brisbane, QLD 4067, Australia.
Sukanta ChowdhuryInternational Centre for Diarrheal Diseases Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Ireen Sultana ShantaInternational Centre for Diarrheal Diseases Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Bente SchrijverVetEffecT, Bilthoven, the Netherlands.
Remco SchrijverVetEffecT, Bilthoven, the Netherlands.
Mohammad Mahmudul HassanQueensland Alliance for One Health Sciences, School of Veterinary Sciences, The University of Queensland, Australia.
Shiyong WangWorld Bank Group, Washington, DC, USA.
Ricardo J Soares MagalhãesQueensland Alliance for One Health Sciences, School of Veterinary Sciences, The University of Queensland, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate and land-use change are expected to influence the future dynamics of zoonotic disease outbreaks, including avian influenza, a prime example of a One Health challenge. Environmental and socio-economic conditions modulate the risk of virus spillover from wild birds to farmed animals and, subsequently, to humans through multiple transmission pathways. However, the extent to which changing environmental conditions may alter the spatial suitability for avian influenza transmission across regions and interfaces in the future remains uncertain. To address this gap, we developed a spatially explicit, integrated modelling framework that simulates wild and farmed bird distributions and incorporates this information into a spatial structural equation model of avian influenza exposure suitability. This model captures the complex interactions between the environment, wildlife, and poultry production and retail systems in Bangladesh. In addition, the framework includes an assessment of the population at risk living in areas considered suitable for virus exposure. Our approach allows us to project the spatial suitability for avian influenza exposure under current and future climate, land cover and population density, and to better understand the key drivers and underlying mechanisms of exposure suitability. Results indicate that suitability is expected to increase significantly in poultry farming areas, driven by growing chicken density. We find that this shift could increase the human population at risk of exposure to avian influenza by up to 79 million by 2050. This modelling approach provides an evidence-based decision support tool to help prioritise surveillance and preventive interventions in key transmission interfaces across the country.

Indexed as

Climate changeLand cover changeMachine learningOne healthSpatial modellingZoonotic diseases

Identifiers

PMID41141933
PMCPMC12550288

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.