Evidence map›Paper›PMID 42850309›Full record

ArticleNature communications2026

Filovirus reactive antibodies in wildlife hunting communities suggest ongoing zoonotic spillover in forested Guinea.

Grace Hood, Joseph Akoi Bore, Tom Tipton, Zézé Onivogui, Koly Sovogui, Kpadè Zézé Zoumanigui, Joseph Timothy, McKenna Roe, Lianying Yan, Simon Scott and 8 more

Abstract read
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In one paragraph

Article in Nature communications, 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

18 authors.

Grace HoodPandemic Sciences Institute and Centre for Human Genetics, University of Oxford, Oxford, United Kingdom. grace.hood@well.ox.ac.uk.ORCID http://orcid.org/0009-0004-5169-9437
Joseph Akoi BoreCentre de Recherche et d'Analyse Biomédicale (CRAM), Macenta, Republic of Guinea.
Tom TiptonPandemic Sciences Institute and Centre for Human Genetics, University of Oxford, Oxford, United Kingdom.
Zézé OnivoguiUniversity of Sonfonia, Conakry, Republic of Guinea.
Koly SovoguiCentre de Recherche et d'Analyse Biomédicale (CRAM), Macenta, Republic of Guinea.
Kpadè Zézé ZoumaniguiCentre de Recherche et d'Analyse Biomédicale (CRAM), Macenta, Republic of Guinea.
Joseph TimothyLondon School of Hygiene & Tropical Medicine, London, UK.
McKenna RoeDepartment of Microbiology and Immunology, Uniformed Services University, Bethesda, MD, USA.
Lianying YanDepartment of Microbiology and Immunology, Uniformed Services University, Bethesda, MD, USA.
Simon ScottViral Pseudotype Unit, University of Kent and Greenwich, London, UK.ORCID http://orcid.org/0000-0002-8290-0461
Nigel TempertonViral Pseudotype Unit, University of Kent and Greenwich, London, UK.ORCID http://orcid.org/0000-0002-7978-3815
Edward WrightSchool of Life Sciences, University of Sussex, Falmer, UK.ORCID http://orcid.org/0000-0001-7041-5138
Gwenda HughesUnited Kingdom Public Health Rapid Support Team, London, UK.ORCID http://orcid.org/0000-0003-2090-7702
Sanaba BoumbalyLe Centre de Recherche en Virologie, Laboratoire des Fièvres Hémorragiques Virales de Guinée (CRV-LFHVG), Conakry, Republic of Guinea.
Eric D LaingHenry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Rockville, MD, USA.
N'Faly MagassoubaLe Centre de Recherche en Virologie, Laboratoire des Fièvres Hémorragiques Virales de Guinée (CRV-LFHVG), Conakry, Republic of Guinea.
Kimberly FornaceSaw Swee Hock School of Public Health and National University Health System, National University Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0002-5484-241X
Miles CarrollPandemic Sciences Institute and Centre for Human Genetics, University of Oxford, Oxford, United Kingdom. miles.carroll@ndm.ox.ac.uk.ORCID http://orcid.org/0000-0002-7026-7187

Funding

Wellcome Trust (Wellcome) MIC-73-12915
6 · The paper itself

Abstract

Forested Guinea has been the site of multiple high-consequence viral spillover events, including the index case of the 2013-16 West African Ebola epidemic. Deforestation and wildlife hunting rapidly expand the human-animal interface, increasing opportunities for transmission. Here we integrate serologic, spatial and questionnaire data to characterize zoonotic filovirus spillover events and risk factors amongst wildlife hunter communities in Forested Guinea. Hunters and close contacts from 43 villages in 2017 (n = 511) and 2023 (n = 648) were screened using a multiplex microsphere-based immunoassay panel of 9 filoviruses, identifying IgG binding against Ebola virus (EBOV) in 57/1159 individuals (4.9%), as well as species-specific binding against Bundibugyo (BDBV) (49/1159, 4.2%), Taï Forest (TAFV) (13/1159, 1.1%), Reston (4/1159, 0.3%), Měnglà (MLAV) (8/1159, 0.7%), Lloviu (LLOV) (8/1159, 0.7%) and Bombali (BOMV) (1/1159, 0.1%) viruses. Parallel pseudotyped virus neutralization assays identified species-specific neutralization of EBOV, BDBV and TAFV, as well as likely cross-neutralization of BOMV, LLOV and MLAV, suggesting multiple zoonotic virus spillover events. Mixed-effects regression analyses of satellite-derived land-cover data identified environmental risk factors (including forest fragmentation) reflecting potential pathways of exposure. Together, our data suggest multiple ongoing zoonotic filovirus spillover events in wildlife hunting communities and highlight the importance of landscape configuration in driving pathogen spillover.

Indexed as

Animals, WildAntibodies, ViralFiloviridaeFiloviridae InfectionsHemorrhagic Fever, EbolaZoonosesAnimalsEbolavirusForestsGuineaHumansImmunoglobulin GAntibodies, ViralImmunoglobulin G

Identifiers

PMID42850309

What OpenQuestion holds

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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.