Evidence map›Paper›PMID 42060665›Full record

ArticlePloS one2026

Modeling and assessing Highly Pathogenic Avian Influenza (HPAI) spread, epidemiological control measures, and cost.

Eihab Fathelrahman, Magdi Mohamed Ali, Tamrat Gebiso Challa, Raeda Osman, Adil I Elawad, Mervat H Al Nuaimat, Meera M Saeed, Yassir M Eltahir, Oum-Keltoum Bensalah, Youssef El-Khatib and 1 more

Abstract read
In one paragraph

Article in PloS one, 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

11 authors.

Eihab FathelrahmanDepartment of Integrative Agriculture (INAG), College of Agriculture & Veterinary Medicine (CAVM), United Arab Emirates University (UAEU), Al Ain, United Arab Emirates.ORCID https://orcid.org/0000-0002-4818-7041
Magdi Mohamed AliBiosecurity Section, Ministry of Climate Change and Environment (MoCCAE), Dubai, United Arab Emirates.
Tamrat Gebiso ChallaDepartment of Integrative Agriculture (INAG), College of Agriculture & Veterinary Medicine (CAVM), United Arab Emirates University (UAEU), Al Ain, United Arab Emirates.ORCID https://orcid.org/0000-0002-9870-8626
Raeda OsmanDepartment of Integrative Agriculture (INAG), College of Agriculture & Veterinary Medicine (CAVM), United Arab Emirates University (UAEU), Al Ain, United Arab Emirates.ORCID https://orcid.org/0009-0006-3462-2934
Adil I ElawadDepartment of Integrative Agriculture (INAG), College of Agriculture & Veterinary Medicine (CAVM), United Arab Emirates University (UAEU), Al Ain, United Arab Emirates.ORCID https://orcid.org/0000-0001-5315-2954
Mervat H Al NuaimatAnimal Development & Health, Ministry of Climate Change & Environment (MOCCAE), Dubai, United Arab Emirates.
Meera M SaeedAnimal Extension and Health Services Division, Abu Dhabi Agricultural and Food Safety Authority (ADAFSA), Abu Dhabi, United Arab Emirates.
Yassir M EltahirAnimal Extension and Health Services Division, Abu Dhabi Agricultural and Food Safety Authority (ADAFSA), Abu Dhabi, United Arab Emirates.
Oum-Keltoum BensalahAnimal Extension and Health Services Division, Abu Dhabi Agricultural and Food Safety Authority (ADAFSA), Abu Dhabi, United Arab Emirates.
Youssef El-KhatibDepartment of Mathematical Sciences, College of Science, United Arab Emirates University (UAEU), Al Ain, United Arab Emirates.
Aaron ReevesCentre for Public Health Surveillance and Technology, RTI International, Research Triangle Park, Raleigh, North Carolina, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Highly Pathogenic Avian Influenza (HPAI) is a highly contagious, transboundary disease that can affect animals and humans, posing significant health risks to both. This study aimed to prepare for a potential outbreak by modelling the spread of HPAI using stochastic methods with the customized North American Animal Disease Spread Model (NAADSM) software ©, which was tailored specifically for the UAE. Information from 46 commercial poultry farms, including parents, broilers, and layers, was used. This investigation simulated one baseline scenario without intervention and three disease control methods. The scenarios are baseline (without any disease-spread intervention; scenario 1), movement control strategy (scenario 2), intensive vaccination strategy (scenario 3), and depopulation of poultry farms (scenario 4). The model generated outputs on the number of farms and the number of birds infected, vaccinated, or depopulated, as well as the duration of the disease outbreak. The results indicated that the depopulation strategy, scenario 4, led to the lowest epidemic impact and the shortest outbreak duration (16 days), compared with scenarios 1, 2, and 3, which had outbreak durations of 26, 32, and 31 days, respectively. The results of this study help decision-makers determine the optimal control strategy to combat HPAI. Such a strategy minimizes the consequences of the disease spread and the associated implementation costs.

Indexed as

Influenza in BirdsPoultry DiseasesAnimalsChickensDisease OutbreaksEpidemiological ModelsPoultryVaccination

Identifiers

PMID42060665
PMCPMC13132439

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.