Evidence map›Paper›PMID 41028761›Full record

ArticleScientific reports2025

Revealing hidden drivers of Lassa fever through a model-informed approach for reproducing and predicting disease dynamics and guiding control strategies.

Hemaho B Taboe, Sergei S Pilyugin, Calistus N Ngonghala

Abstract read
In one paragraph

Article in Scientific reports, 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. Article
  2. 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

3 authors.

Hemaho B TaboeDepartment of Mathematics, University of Florida, Gainesville, FL, 32611, USA. hemahobeaugtaboe@ufl.edu.
Sergei S PilyuginDepartment of Mathematics, University of Florida, Gainesville, FL, 32611, USA.
Calistus N NgonghalaDepartment of Mathematics, University of Florida, Gainesville, FL, 32611, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lassa fever (LF), caused by the Lassa virus and transmitted primarily by Mastomys natalensis rodents, is a severe hemorrhagic disease endemic to West Africa, particularly Nigeria, with significant morbidity and mortality rates. This study develops dynamic models for LF, incorporating crucial but often overlooked factors such as vertical transmission (i.e., transmission from parents to their offsprings) in rodents, surface contamination, and asymptomatic human carriers. The persistence of the disease is shown analytically. Using data from Nigeria to train the models, the impact of various control and mitigation measures is assessed. The results of the study reveal that asymptomatic individuals are key drivers of LF and that including additional LF virus transmission pathways, e.g., vertical transmission and environmental contamination, increases the estimated reproduction number threefold compared to previous studies. Models incorporating rodent dynamics show the highest disease prevalence, highlighting the critical role of rodent control. Specifically, effective interventions using only rodent control measures require maintaining rodent populations below a specific threshold. In addition, a multifaceted approach, combining antiviral treatment, environmental disinfection, and personal protective equipment, significantly enhances disease control, while the introduction of a competitor rodent species can drastically reduce human and rodent infections. Ultimately, the study underscores the need for integrated, multifaceted strategies, including targeting rodents, asymptomatic cases, and comprehensive treatment and disinfection protocols, for effective LF management.

Indexed as

Lassa FeverAnimalsHumansLassa virusMurinaeNigeriaRodent ControlAsymptomatic and vertical transmissionCompetitor speciesEnvironmental contaminationLassa fever virus controlVector-borne disease

Identifiers

PMID41028761
PMCPMC12485196

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.