ArticleCommunications biology2025
Viral genomic features predict Orthopoxvirus reservoir hosts.
Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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.
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.
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Who cites it
10 citing papers in PubMed.
- Article
- Current Strategies for Selecting Recombinant Orthopoxvirus Proteins for Immunobiological and Diagnostic Applications.Viruses · 2026Review
- Investigating the emergence of the Brazilian porcupinepox poxvirus in wild Brazilian porcupines (Coendou longicaudatus).Scientific reports · 2026Article
- Identifying host-specific patterns in viral protein sequences to predict host spillover risk in animal and plant kingdoms.Scientific reports · 2026Article
- Mpox in South Asia: A Narrative Review on Epidemiology, Preparedness, and Preventive Strategies.Health science reports · 2026Article
- An improved dataset for predicting mammal infecting viruses from genetic sequence information.PLoS computational biology · 2026Article
- "Mpox in MSM: Tackling stigma, minimizing risk factors, exploring pathogenesis, and treatment approaches".Biomedical journal · 2025Review
- Pathogens and planetary change.Nature reviews. Biodiversity · 2025Article
- First Evidence of Spillover ofTransboundary and emerging diseases · 2025Article
- Review
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Orthopoxviruses (OPVs), including the causative agents of smallpox and mpox have led to devastating outbreaks in human populations worldwide. However, the discontinuation of smallpox vaccination, which also provides cross-protection against related OPVs, has diminished global immunity to OPVs more broadly. We apply machine learning models incorporating both host ecological and viral genomic features to predict likely reservoirs of OPVs. We demonstrate that incorporating viral genomic features in addition to host ecological traits enhanced the accuracy of potential OPV host predictions, highlighting the importance of host-virus molecular interactions in predicting potential host species. We identify hotspots for geographic regions rich with potential OPV hosts in parts of southeast Asia, equatorial Africa, and the Amazon, revealing high overlap between regions predicted to have a high number of potential OPV host species and those with the lowest smallpox vaccination coverage, indicating a heightened risk for the emergence or establishment of zoonotic OPVs. Our findings can be used to target wildlife surveillance, particularly related to concerns about mpox establishment beyond its historical range.
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Registered trials
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.