Evidence map›Paper›PMID 41583793›Full record

ArticleVirus evolution2026

A phylogenetic contribution to understanding the panzootic spread of African swine fever: from the global to the local scale.

Gianluigi Rossi, E Carol McWilliam Leitch, Jake Graham, Roberta Biccheri, Carmen Iscaro, Claudia Torresi, Samantha J Lycett, Francesco Feliziani, Monica Giammarioli

Abstract read
In one paragraph

Article in Virus evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
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

9 authors.

Gianluigi RossiCentre of Expertise on Animal Disease Outbreak (EPIC), Scotland.ORCID https://orcid.org/0000-0002-6540-8467
E Carol McWilliam LeitchThe Roslin Institute, R(D)SVS, University of Edinburgh, Easter Bush Campus, Midlothian, EH25 9RG, Scotland.
Jake GrahamThe Roslin Institute, R(D)SVS, University of Edinburgh, Easter Bush Campus, Midlothian, EH25 9RG, Scotland.
Roberta BiccheriNational Reference Center for Swine Fever (CEREP), Istituto Zooprofilattico Sperimentale Umbria e Marche "Togo Rosati", Via Gaetano Salvemini, 1, 06126, Perugia, Italy.
Carmen IscaroNational Reference Center for Swine Fever (CEREP), Istituto Zooprofilattico Sperimentale Umbria e Marche "Togo Rosati", Via Gaetano Salvemini, 1, 06126, Perugia, Italy.
Claudia TorresiNational Reference Center for Swine Fever (CEREP), Istituto Zooprofilattico Sperimentale Umbria e Marche "Togo Rosati", Via Gaetano Salvemini, 1, 06126, Perugia, Italy.
Samantha J LycettCentre of Expertise on Animal Disease Outbreak (EPIC), Scotland.ORCID https://orcid.org/0000-0003-3159-596X
Francesco FelizianiNational Reference Center for Swine Fever (CEREP), Istituto Zooprofilattico Sperimentale Umbria e Marche "Togo Rosati", Via Gaetano Salvemini, 1, 06126, Perugia, Italy.
Monica GiammarioliNational Reference Center for Swine Fever (CEREP), Istituto Zooprofilattico Sperimentale Umbria e Marche "Togo Rosati", Via Gaetano Salvemini, 1, 06126, Perugia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

African Swine Fever virus has become a primary concern for veterinarian health agencies and pig producers worldwide. The current panzootic of the virus genotype II is having a devastating impact on pig production in Africa, Europe, Asia, Oceania, and Hispaniola (Caribbean). Due to its high persistence and mortality rate, disease control policies require enhanced passive surveillance, wild boar depopulation, containment, and other costly interventions, as a safe and effective vaccine is not currently available. Since 2007, several disease clusters have emerged far from both its original range (South-Eastern Africa) and from other affected suid populations. These transmissions were likely caused by anthropogenic movement, facilitated by the virus persistence in the environment and on contaminated material. The objective of this research was to understand the spatio-temporal dynamics of the African Swine Fever virus panzootic, with a specific focus on clusters from mainland Italy. We mapped and analysed the virus spread using 228 whole-genome sequences available from online repositories and from the Italian cases/outbreaks, combined with their metadata. We inferred pathogen phylogenies using a Bayesian phylodynamic model, with which we obtained a time-scaled and spatially explicit maximum clade credibility tree. Our results indicate that the Eurasian genotype II panzootic originated in Africa around 20 years ago (September 2003-May 2007) and showed long-distance transmissions across regions or continents within a short time frame, including from Europe to East Asia and from South-Eastern to Western Africa. Dense local dynamics, particularly in areas where the disease affected a naïve population, were also observed. The distribution of spatial distances inferred along the trees' branches further highlighted these trends and revealed how previously observed survival times in pork products could allow the virus to traverse distances up to 900 km (in 137 days). Finally, from the available data, we identified at least seven separate introductions in Europe, of which at least three caused new clusters on mainland Italy. This study provides important insights on the African Swine Fever virus introduction into many affected areas worldwide and highlights the crucial role of genomic surveillance in correctly tracking the pathogen spread and monitoring the virus potential evolution.

Indexed as

ASFDNA virusmolecular epidemiologyphylodynamicssuid diseasewhole-genome sequences

Identifiers

PMID41583793
PMCPMC12831188

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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.