Evidence map›Paper›PMID 39737019›Full record

ArticleOpen veterinary journal2024

Spatio-temporal dynamics and risk cluster analysis of highly pathogenic avian influenza (H5N1) in poultry: Advancing outbreak management through customized regional strategies in Egypt.

Yumna Elsobky, Mahmoud Eltholth, Ehsan Abdalla, Nourhan Eissa, Ghada Hadad, Mohamed Nayel, Akram Salama, Walid Mousa, Ahmed Kamal, Ashraf M Abu-Seida and 2 more

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Article in Open veterinary journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 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

12 authors.

Yumna ElsobkyDepartment of Animal Hygiene and Zoonosis, Faculty of Veterinary Medicine, University of Sadat City, Sadat City, Egypt.
Mahmoud EltholthDepartment of Health Studies, University of London, Egham, UK.
Ehsan AbdallaDepartment of Pathobiology/Department of Graduate Public Health, College of Veterinary Medicine, Tuskegee University, Tuskegee, AL.
Nourhan EissaDepartment of Animal Hygiene and Zoonosis, Faculty of Veterinary Medicine, University of Sadat City, Sadat City, Egypt.
Ghada HadadDepartment of Animal Hygiene and Zoonosis, Faculty of Veterinary Medicine, University of Sadat City, Sadat City, Egypt.
Mohamed NayelDepartment of Animal Medicine and Infectious Diseases, Faculty of Veterinary Medicine, University of Sadat City, Sadat City, Egypt.
Akram SalamaDepartment of Animal Medicine and Infectious Diseases, Faculty of Veterinary Medicine, University of Sadat City, Sadat City, Egypt.
Walid MousaDepartment of Animal Medicine and Infectious Diseases, Faculty of Veterinary Medicine, University of Sadat City, Sadat City, Egypt.
Ahmed KamalDepartment of Birds and Rabbit Medicine, Faculty of Veterinary Medicine, University of Sadat City, Sadat City, Egypt.
Ashraf M Abu-SeidaDepartment of Surgery, Anesthesiology and Radiology, Faculty of Veterinary Medicine, Cairo University, Giza, Egypt.
Osama K GaidanFaculty of Veterinary Medicine, Omar Al-mukhtar University, Al Bayda, Libya.
Mohamed ElkamshishiDepartment of Animal Hygiene and Zoonoses, Faculty of Veterinary Medicine, Matrouh University, Matrouh, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Highly pathogenic avian influenza (HPAI) (H5N1) has been endemic in Egypt for almost two decades, profoundly impacting both the poultry industry and public health. Egypt stands as a prominent epicenter for HPAI H5N1 outbreaks in Africa, marked by the highest number of positive human cases. Despite continuous governmental efforts, prior research underscored the inadequacy of strategies in controlling the virus spread. Aim: This study identified spatiotemporal patterns and high-risk clusters of HPAI H5N1 outbreaks at the subdistrict level. Methods: This study involved trial tracking of HPAI H5N1 endemicity dynamics, enabling tailored interventions at a regional level based on robust epidemiological investigations to address the persistent challenge of HPAI H5N1 in Egypt. This study illuminated spatiotemporal outbreak dynamics, with specific attention on Menofia governorate. Results: Despite the region's early poultry impacts, initial outbreaks did not originate from Menofia in studied epidemic waves (EWs). Outbreak risk spatial distribution displayed an escalating pattern at the northern border, followed by risk reduction through the sixth EW. The predominant hot spot region was localized within rural districts, particularly villages, while urbanization coincided with lower outbreak density. Observed smoothed densities revealed epidemic propagation within urban centers, preceding its transition to new areas and establishing direct connections with neighboring cities. Primary cluster prognostication was plausible, occurring in regions previously hosting elevated relative risk clusters during preceding EWs. Identification of enduring pinpoint clusters, persistent for extended durations, indicated close contact dynamics and localized viral circulation within populations. Conclusion: This study highlights the significance of customized regional interventions based on the rigorous epidemiological framework. This approach is pivotal in the profound comprehension of endemicity dynamics, efficiently limits geographical infection spread, and contains outbreaks within delineated areas.

Indexed as

Disease OutbreaksInfluenza A Virus, H5N1 SubtypeInfluenza in BirdsPoultryPoultry DiseasesSpatio-Temporal AnalysisAnimalsCluster AnalysisEgyptEndemicity dynamicsHighly pathogenic avian influenzaRisk clustersSpatiotemporal dynamicsTailored intervention strategies

Identifiers

PMID39737019
PMCPMC11682780

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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.