Evidence map›Paper›PMID 42234759›Full record

ArticleScience advances2026

Projected public health benefits of a hypothetical HSV-1 vaccine in the United States: A mathematical modeling analysis.

Bechir S Naffeti, Houssein H Ayoub, Christine Johnston, Laith J Abu-Raddad

Abstract read
In one paragraph

Article in Science advances, 2026. 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

4 authors.

Bechir S NaffetiMathematics Program, Department of Mathematics and Statistics, College of Arts and Sciences, Qatar University, Doha, Qatar.ORCID 0000-0002-8782-8788
Houssein H AyoubMathematics Program, Department of Mathematics and Statistics, College of Arts and Sciences, Qatar University, Doha, Qatar.ORCID 0000-0003-2512-6657
Christine JohnstonDepartment of Medicine, Division of Allergy and Infectious Diseases and Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA.ORCID 0000-0002-3073-0843
Laith J Abu-RaddadInfectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Doha, Qatar.ORCID 0000-0003-0790-0506

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Herpes simplex virus type 1 (HSV-1) infection is highly prevalent worldwide and causes oral, genital, and neonatal herpes. Several HSV vaccine candidates are currently in development. This study used mathematical modeling to estimate the potential population-level impact of HSV-1 vaccination strategies in the United States. Infant vaccination with 70% efficacy and lifelong protection introduced in 2030 reduced oral and genital incidence rate by 47.3 and 58.3% by 2075, respectively, with annual new infections declining by 41.2 and 53.5%, corresponding to 28.5 million cumulative infections averted. The number needed to vaccinate to prevent one infection, defined from program initiation to a specified year, declined from 35.8 by 2040 to 7.2 by 2070. Addition of adolescent catch-up vaccination further reduced oral and particularly genital incidence. Lifelong protection produced approximately threefold greater impact than 15-year protection. HSV-1 vaccination could substantially reduce oral and genital HSV-1 burden, supporting prioritization of vaccine development and integration into public health strategies.

Indexed as

Herpes SimplexHerpes Simplex Virus VaccinesHerpesvirus 1, HumanModels, TheoreticalPublic HealthAdolescentFemaleHumansInfantUnited StatesVaccinationHerpes Simplex Virus Vaccines

Identifiers

PMID42234759
PMCPMC13232608

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.