Evidence map›Paper›PMID 40729359›Full record

ArticlePLoS neglected tropical diseases2025

Estimation of Lassa fever incidence rates in West Africa: Development of a modeling framework to inform vaccine trial design.

Sean M Moore, Erica Rapheal, Sandra Mendoza Guerrero, Natalie E Dean, Steven T Stoddard

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Article in PLoS neglected tropical diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

5 authors.

Sean M MooreDepartment of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, United States of America.ORCID 0000-0001-9062-6100
Erica RaphealIndependent Consultant, Minneapolis, Minnesota, United States of America.
Sandra Mendoza GuerreroEmergent BioSolutions, Inc., Gaithersburg, Maryland, United States of America.
Natalie E DeanDepartment of Biostatistics & Bioinformatics, Emory Rollins School of Public Health, Atlanta, Georgia, United States of America.
Steven T StoddardEmergent BioSolutions, Inc., Gaithersburg, Maryland, United States of America.

Funding

NIAID NIH HHS HHSN272201700077C
6 · The paper itself

Abstract

backgroundLassa fever (LF) is an acute viral hemorrhagic disease endemic to West Africa that has been declared a priority disease by the World Health Organization due to its severity and the lack of a vaccine or effective treatment options. Several candidate vaccines are currently in development and are expected to be ready for phase III field efficacy trials soon. However, most LF cases and deaths are believed to go unreported, and as a result we lack a clear understanding of several aspects of LF epidemiology and immunology that are critical to the design of vaccine efficacy trials.

methodsTo help guide vaccine trial design and trial site selection we estimated the force of infection (FOI) from rodent hosts to humans in all 1st and 2nd administrative units in West Africa from published seroprevalence studies. We next estimated LF reporting probabilities using these FOI estimates and LF case and death reports and then projected FOI in all admin1 and admin2 areas without seroprevalence data. We then extrapolated age-specific LF incidence rates from FOI estimates under different assumptions regarding the level of protection against reinfection among seropositive and seronegative individuals with a history of prior infection.

resultsProjected FOI estimates and modeled annual LF incidence rates indicate that Sierra Leone, southern Guinea, and a few areas within Nigeria would likely experience the highest LF case incidence rates for a vaccine trial. Estimated LF incidence rates were highly sensitive to assumptions about Lassa immunology, particularly the frequency of seroreversion among previously infected individuals and the extent to which seroreverted individuals retain protection against reinfection and more severe disease outcomes.

conclusionsOur spatial LF incidence rate estimates, along with the interannual and seasonal variability in these estimates and estimates of baseline seroprevalence, could be used for vaccine trial site selection, choosing the target population (e.g., age and serostatus), and maximizing a trial's statistical power.

Indexed as

Lassa FeverViral VaccinesAdolescentAdultAfrica, WesternAnimalsChildChild, PreschoolFemaleHumansIncidenceInfantLassa virusMaleMiddle AgedSeroepidemiologic StudiesViral Vaccines

Identifiers

PMID40729359
PMCPMC12324683

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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.