Evidence map›Paper›PMID 40388391›Full record

ArticlePLoS computational biology2025

Uncovering the impact of infection routes on within-host MPXV dynamics: Insights from a mathematical modeling study.

Qi Deng, Woldegebriel Assefa Woldegerima, Wenjing Zhang, Ali Asgary, Jude Dzevela Kong, Sarah Flicker, Nicholas H Ogden, James Orbinski, Nicola Luigi Bragazzi, Jianhong Wu

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. 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

10 authors.

Qi DengDepartment of Mathematics and Statistics, York University, Toronto, Ontario, Canada.
Woldegebriel Assefa WoldegerimaDepartment of Mathematics and Statistics, York University, Toronto, Ontario, Canada.ORCID 0000-0002-0336-7831
Wenjing ZhangDepartment of Mathematics and Statistics, Texas Tech University, Lubbock, Texas, United States of America.
Ali AsgaryGlobal South Artificial Intelligence for Pandemic and Epidemic Preparedness and Response Network, York University, Toronto, Ontario, Canada.
Jude Dzevela KongArtificial Intelligence and Mathematical Modelling Lab, University of Toronto, Toronto, Ontario, Canada.
Sarah FlickerDepartment Environmental Studies, York University, Toronto, Ontario, Canada.
Nicholas H OgdenNational Microbiology Laboratory, Public Health Agency of Canada, Saint-Hyacinthe, Québec, Canada.
James OrbinskiThe Dahdaleh Institute for Global Health Research, York University, Toronto, Ontario, Canada.
Nicola Luigi BragazziDepartment of Food and Drugs, University of Parma, Parma, Italy.
Jianhong WuDepartment of Mathematics and Statistics, York University, Toronto, Ontario, Canada.

Funding

Canadian Institute for Health ResearchNSERC-Sanofi Alliance program in Vaccine Mathematics, Modelling, and Manufacturing
6 · The paper itself

Abstract

The unprecedented mpox outbreak in non-endemic regions during 2022-2023, which has seen a recent resurgence in late 2023-2024, poses a significant public health threat. Despite its global spread, the viral dynamics of mpox infection and the specific characteristics driving these outbreaks remain insufficiently explored. We develop mathematical models to examine the interactions between host immune responses and the virus across three distinct infection routes (intravenous, intradermal, and intrarectal). The models are calibrated using viral load data from macaques infected through each of these three infection routes. Subsequently, we calculate the infectiousness of each infected macaque, finding that the proportion of presymptomatic infectiousness is highest in those infected via sexual contact, followed by skin-to-skin contact. These observations demonstrate that close contact during sexual activity is a significant route of viral transmission, with presymptomatic spread playing a crucial role in the 2022-2023 multi-country outbreak and potentially also in the 2023-2024 multi-source outbreak. Leveraging model predictions and infectiousness data, we assess the impact of antiviral drugs on interventions against mpox infection. Model simulations suggest that early administration of antiviral drugs can reduce peak viral loads, even in individuals with compromised immunity, particularly in cases of infection through skin-to-skin and sexual contact. These results underscore the importance of initiating antiviral treatment as early as possible for mpox-infected patients with compromised immune systems, such as those who are HIV-positive.

Indexed as

Mpox, MonkeypoxAnimalsComputational BiologyDisease OutbreaksHumansMacacaModels, BiologicalViral Load

Identifiers

PMID40388391
PMCPMC12088049

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.