Evidence map›Paper›PMID 41279534›Full record

ArticlebioRxiv : the preprint server for biology2025

Evidence of latency reshapes our understanding of Ebola virus reservoir dynamics.

John T McCrone, Guy Baele, Ifeanyi F Omah, Eddy Kinganda-Lusamaki, Joseph A Brew, Luiz M Carvalho, Gytis Dudas, Placide Mbala-Kingebeni, Marc A Suchard, Andrew Rambaut

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

10 authors.

John T McCroneVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA.ORCID 0000-0002-9846-8917
Guy BaeleDepartment of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, Belgium.ORCID 0000-0002-1915-7732
Ifeanyi F OmahInstitute of Ecology and Evolution, University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-9044-3096
Eddy Kinganda-LusamakiInstitut National de Recherché Biomedicale, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.ORCID 0000-0001-9795-0165
Joseph A BrewDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Luiz M CarvalhoSchool of Applied Mathematics, Getulio Vargas Foundation (FGV), Rio de Janeiro, Brazil.
Gytis DudasInstitute of Biotechnology, Life Sciences Centre, Vilnius University, Vilnius, Lithuania.ORCID 0000-0002-0227-4158
Placide Mbala-KingebeniInstitut National de Recherché Biomedicale, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.ORCID 0000-0003-1556-3570
Marc A SuchardDepartment of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, CA, USA.ORCID 0000-0001-9818-479X
Andrew RambautInstitute of Ecology and Evolution, University of Edinburgh, Edinburgh, UK.ORCID 0000-0003-4337-3707

Funding

Fast and flexible Bayesian phylogenetics via modern machine learningR01AI162611 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI MATSEN, FREDERICK ALBERT · 2021 to 2025
$3.8M
Statistical Innovation to Integrate Sequences and Phenotypes for Scalable Phylodynamic InferenceR01AI153044 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Marc A. Suchard · 2021 to 2026
$2.4M
NIAID NIH HHS R01 AI153044NIAID NIH HHS R01 AI162611Wellcome Trust
6 · The paper itself

Abstract

Ebola virus (EBOV) has caused severe outbreaks of haemorrhagic fever in Central and West Africa since the first observed zoonotic epidemic in the late 1970s. While recent outbreaks have revealed much about the epidemiological dynamics that sustain human-to-human transmission, the mechanisms by which the virus persists between outbreaks are unknown. Previously, phylogenetic approaches have been used to characterise the EBOV reservoir from the evolutionary relationships among observed human outbreaks. We here employ a novel phylogenetic latency model - inspired by recent observations of extreme EBOV evolutionary rate heterogeneity in humans - to characterise the natural history of EBOV and by extension its reservoir. We find the prevailing model of EBOV reservoir dynamics is deficient, and the long-term EBOV evolutionary rate is slower than previously believed. The hypothesis that EBOV diversity dates back to a bottleneck event just prior to the first human outbreak is not supported by the data. Further, our results suggest that EBOV undergoes extended periods of quiescence in the reservoir, similar to that observed in a small fraction of human infections. These findings have significant implications for understanding the source of EBOV outbreaks, characterising the EBOV reservoir, and uncovering the factors that contribute to EBOV outbreaks in humans.

Identifiers

PMID41279534
PMCPMC12632977

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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.