Evidence map›Paper›PMID 42459179›Full record

ArticleFrontiers in epidemiology2026

Pan-continental spillover risk: integrated spatiotemporal, transmissibility and surveillance analysis of avian influenza a(H5N1) in Africa.

Maladho Diaby, Alhassane Diallo, Castro G Hounmenou, Salifou Talassone Bangoura, Emile Faya Bongono, Kadio Jean-Jacques Olivier Kadio, Aly Badara Touré, Abdourahamane Barry, Saidouba Chérif Camara, Haby Diallo and 6 more

Abstract read
In one paragraph

Article in Frontiers in epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

16 authors.

Maladho DiabyCentre de Recherche et de Formation en Infectiologie de Guinée (CERFIG), Gamal Abdel Nasser University, Conakry, Republic of Guinea.
Alhassane DialloDepartment of Public Health, Faculty of Sciences and Health Techniques, Gamal Abdel Nasser University, Conakry, Republic of Guinea.
Castro G HounmenouCentre de Recherche et de Formation en Infectiologie de Guinée (CERFIG), Gamal Abdel Nasser University, Conakry, Republic of Guinea.
Salifou Talassone BangouraCentre de Recherche et de Formation en Infectiologie de Guinée (CERFIG), Gamal Abdel Nasser University, Conakry, Republic of Guinea.
Emile Faya BongonoCentre de Recherche et de Formation en Infectiologie de Guinée (CERFIG), Gamal Abdel Nasser University, Conakry, Republic of Guinea.
Kadio Jean-Jacques Olivier KadioCentre de Recherche et de Formation en Infectiologie de Guinée (CERFIG), Gamal Abdel Nasser University, Conakry, Republic of Guinea.
Aly Badara TouréDepartment of Public Health, Faculty of Sciences and Health Techniques, Gamal Abdel Nasser University, Conakry, Republic of Guinea.
Abdourahamane BarryCentre de Recherche et de Formation en Infectiologie de Guinée (CERFIG), Gamal Abdel Nasser University, Conakry, Republic of Guinea.
Saidouba Chérif CamaraCentre de Recherche et de Formation en Infectiologie de Guinée (CERFIG), Gamal Abdel Nasser University, Conakry, Republic of Guinea.
Haby DialloCentre de Recherche et de Formation en Infectiologie de Guinée (CERFIG), Gamal Abdel Nasser University, Conakry, Republic of Guinea.
Thibaut Armel Chérif GnimadiCentre de Recherche et de Formation en Infectiologie de Guinée (CERFIG), Gamal Abdel Nasser University, Conakry, Republic of Guinea.
Sidikiba SidibéDepartment of Public Health, Faculty of Sciences and Health Techniques, Gamal Abdel Nasser University, Conakry, Republic of Guinea.
Alexendre DelamouDepartment of Public Health, Faculty of Sciences and Health Techniques, Gamal Abdel Nasser University, Conakry, Republic of Guinea.
Alioune CamaraDepartment of Public Health, Faculty of Sciences and Health Techniques, Gamal Abdel Nasser University, Conakry, Republic of Guinea.
Alpha-Kabinet KéitaCentre de Recherche et de Formation en Infectiologie de Guinée (CERFIG), Gamal Abdel Nasser University, Conakry, Republic of Guinea.
Abdoulaye TouréCentre de Recherche et de Formation en Infectiologie de Guinée (CERFIG), Gamal Abdel Nasser University, Conakry, Republic of Guinea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The HPAI H5N1 panzootic represents a critical threat to human health in Africa, where traditional poultry systems and dense human-animal interfaces facilitate frequent zoonotic spillover. While sporadic human cases raise pandemic concerns, continent-wide integration of spatial dynamics, transmissibility indicators, and surveillance performance has been lacking. This study quantifies avian influenza transmission over two decades across Africa, identifies geographical hotspots, and evaluates the responsiveness of current surveillance systems. Methods: We analysed 8,037 avian influenza outbreak events and 369 laboratory-confirmed human cases, predominantly caused by HPAI H5N1 (2004-2025), using harmonised data from FAO (EMPRES-i+), WHO, and WOAH. A Bayesian Besag-York-Mollié (BYM) spatiotemporal model estimated residual transmission risks and Incidence Rate Ratios (IRR) by subtype. The basic reproduction number (R₀) was derived via an exponential growth model applied to human outbreak phases across infectious durations of 7-30 days. Surveillance responsiveness was assessed by quantifying notification delays between clinical observation and official reporting. Results: Risk of infection in animals: HPAI H5N1 was the dominant strain, representing 87.8% of animal cases, with Egypt acting as the primary epidemiological epicentre (66% of total records). The spatiotemporal model revealed that H5N1 is associated with a significantly higher risk of animal infection (IRR = 8.37; 95% CI: 6.65-10.53). Although 71% of outbreaks were reported within 5 days of detection, significant delays (≥15 days) occurred in 12% of cases, with notable regional disparities. Risk of infection in human: H5N1 was associated with a 67-fold increase in the incidence of human cases compared to other subtypes (IRR = 66.78; 95% CI: 25.29-176.37). Sensitivity analyses yielded R Conclusion: Our findings highlight a persistent and geographically heterogeneous H5N1 reservoir in Africa with high zoonotic affinity. Although sustained human-to-human transmission remains limited, the identification of dual poultry-human hotspots and localised R0 peaks underscores the urgent need for geographically targeted One Health interventions. Strengthening real-time reporting systems and improving biosecurity in high-risk poultry value chains are critical to mitigating future pandemic threats on the continent.

Indexed as

Africaavian influenzabayesian modellingH5N1one healthpublic health surveillance

Identifiers

PMID42459179
PMCPMC13368709

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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.