Evidence map›Paper›PMID 40312589›Full record

ArticleNature medicine2025

Modeling the impact of vaccine campaigns on the epidemic transmission dynamics of chikungunya virus outbreaks.

Pastor E Pérez-Estigarribia, Gabriel Ribeiro Dos Santos, Simon Cauchemez, Cynthia Vazquez, Ana Karina Ibarrola-Vannucci, Guillermo Sequera, Shirley Villalba, María José Ortega, Jose Luis Di Fabio, Danny Scarponi and 7 more

Abstract read
In one paragraph

Article in Nature medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 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

17 authors.

Pastor E Pérez-Estigarribia *Laboratorio de Analisis y Modelado Basado en Datos (LAMBDA), Facultad Politécnica, Universidad Nacional de Asunción, San Lorenzo, Paraguay.ORCID http://orcid.org/0000-0003-3143-0751
Gabriel Ribeiro Dos Santos *Department of Genetics, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0003-4668-8755
Simon CauchemezMathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Université Paris Cité, UMR 2000 CNRS, Paris, France.ORCID http://orcid.org/0000-0001-9186-4549
Cynthia VazquezDepartamento de Virología, Laboratorio Central de Salud Pública, Asunción, Paraguay.
Ana Karina Ibarrola-VannucciUnidad de Proyectos, Convenios e Investigación, SENEPA-Ministerio de Salud Pública y Bienestar Social, Asunción, Paraguay.
Guillermo SequeraCátedra de Salud Pública, Universidad Nacional de Asunción, Asunción, Paraguay.
Shirley VillalbaDepartamento de Virología, Laboratorio Central de Salud Pública, Asunción, Paraguay.
María José OrtegaDepartamento de Virología, Laboratorio Central de Salud Pública, Asunción, Paraguay.
Jose Luis Di FabioCoalition for Epidemic Preparedness Innovations (CEPI), London, UK.ORCID http://orcid.org/0000-0002-1187-7110
Danny ScarponiCoalition for Epidemic Preparedness Innovations (CEPI), London, UK.
Christinah MukandavireCoalition for Epidemic Preparedness Innovations (CEPI), London, UK.
Arminder DeolCoalition for Epidemic Preparedness Innovations (CEPI), London, UK.ORCID http://orcid.org/0000-0002-7154-5505
Águeda CabelloDirección General de Vigilancia de la Salud, Ministerio de Salud Pública y Bienestar Social, Asunción, Paraguay.
Elsi VargasCentro Nacional de Servicios de Sangre (CENSSA), Asunción, Paraguay.
Cyntia FernándezCentro Nacional de Servicios de Sangre (CENSSA), Asunción, Paraguay.
Liz LeónCentro Nacional de Servicios de Sangre (CENSSA), Asunción, Paraguay.
Henrik SaljeDepartment of Genetics, University of Cambridge, Cambridge, UK. hs743@cam.ac.uk.ORCID http://orcid.org/0000-0003-3626-4254

Funding

Inter-regional study of transmission, adaptation and pathogenesis of viruses with pandemic potential in Southeast Asia and West/Central AfricaU01AI151758 · NIAID · INSTITUT PASTEUR · PI SAKUNTABHAI, ANAVAJ, SIMON-LORIERE, ETIENNE · 2020 to 2024
$6.7M
European Commission (EC) 101102733NIAID NIH HHS U01 AI151758U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID) U01AI151758
6 · The paper itself

Abstract

A licensed chikungunya vaccine now exists; however, it remains unclear whether it could be deployed during outbreaks to reduce the health burden. We used an epidemic in Paraguay as a case study. We conducted a seroprevalence study and used models to reconstruct epidemic transmission dynamics, providing a framework to assess the theoretical impact of a vaccine had it been available. We estimated that 33.0% (95% confidence interval (CI) 30.1-36.0%) of the population became infected during the outbreak. Of these individuals, 6.3% (95% CI 5.8-6.9%) were detected by the surveillance system, with a mean infection fatality ratio of 0.013% (95% CI 0.012-0.014%). A disease-blocking vaccine with 75% efficacy deployed in 40% of individuals aged ≥12 years over a 3-month period would have prevented 34,200 (95% CI 30,900-38,000) cases, representing 23% of all cases, and 73 (95% CI 66-81) deaths. If the vaccine also leads to infection blocking, 88% of cases would have been averted. These findings suggest that the vaccine is an important new tool to control outbreaks.

Indexed as

Chikungunya FeverChikungunya virusDisease OutbreaksEpidemicsViral VaccinesAdolescentAdultChildChild, PreschoolFemaleHumansMaleMiddle AgedParaguaySeroepidemiologic StudiesYoung AdultViral Vaccines

Identifiers

PMID40312589
PMCPMC12283388

What OpenQuestion holds

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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.