Evidence map›Paper›PMID 41848731›Full record

ArticleJAMA network open2026

Social Mixing Patterns and Chikungunya Reemergence Risk in French Polynesia.

Kiyoji-Ken Chung, Maite Aubry, Iotefa Teiti, Mihiau Mapotoeke, Raihei White, Hervé Bossin, Françoise Mathieu-Daudé, Lisa Dian, Tuterarii Paoaafaite, André Wattiaux and 5 more

Abstract read
In one paragraph

Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Kiyoji-Ken ChungLaboratory of Research on Emerging Viral Diseases, Institut Louis Malardé, Papeete, Tahiti, French Polynesia.
Maite AubryLaboratory of Research on Emerging Viral Diseases, Institut Louis Malardé, Papeete, Tahiti, French Polynesia.
Iotefa TeitiLaboratory of Research on Emerging Viral Diseases, Institut Louis Malardé, Papeete, Tahiti, French Polynesia.
Mihiau MapotoekeBureau de la veille sanitaire et de l'observation, Agence de Régulation de l'Action Sanitaire et Sociale, Papeete, Tahiti, French Polynesia.
Raihei WhiteBureau de la veille sanitaire et de l'observation, Agence de Régulation de l'Action Sanitaire et Sociale, Papeete, Tahiti, French Polynesia.
Hervé BossinMedical Entomology Laboratory, UMR 241 SECOPOL, Institut Louis Malardé, Paea, Tahiti, French Polynesia.
Françoise Mathieu-DaudéMedical Entomology Laboratory, UMR 241 SECOPOL, Institut Louis Malardé, Paea, Tahiti, French Polynesia.
Lisa DianLaboratory of Research on Emerging Viral Diseases, Institut Louis Malardé, Papeete, Tahiti, French Polynesia.
Tuterarii PaoaafaiteLaboratory of Research on Emerging Viral Diseases, Institut Louis Malardé, Papeete, Tahiti, French Polynesia.
André WattiauxBureau de la veille sanitaire et de l'observation, Agence de Régulation de l'Action Sanitaire et Sociale, Papeete, Tahiti, French Polynesia.
Henri-Pierre MalletBureau de la veille sanitaire et de l'observation, Agence de Régulation de l'Action Sanitaire et Sociale, Papeete, Tahiti, French Polynesia.
Jessica VanhomwegenEnvironment and Infectious Risk Unit, Laboratory for Urgent Response to Biological Threats, Institut Pasteur, Paris, France.
Jean-Claude ManuguerraEnvironment and Infectious Risk Unit, Laboratory for Urgent Response to Biological Threats, Institut Pasteur, Paris, France.
Adam KucharskiLaboratory of Research on Emerging Viral Diseases, Institut Louis Malardé, Papeete, Tahiti, French Polynesia.
Van-Mai Cao-LormeauLaboratory of Research on Emerging Viral Diseases, Institut Louis Malardé, Papeete, Tahiti, French Polynesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Chikungunya virus has reemerged in some French overseas territories and mainland France, raising concern for its reintroduction in French Polynesia. Objective: To assess current population immunity to chikungunya virus and estimate future outbreak risk. Design, Setting, and Participants: This cross-sectional study included data from 2 serosurveys and used a modeling approach that integrated seroprevalence, contact matrices, and demographic characteristics. The first serosurvey was conducted on the island of Tahiti (June 2018) among schoolchildren aged 6 to 16 years. The second serosurvey (November 2019 to December 2021) included adults aged 18 to 69 years across French Polynesia, a French overseas territory in the Southeast Pacific that comprises 75 inhabited islands grouped into 5 subdivisions with 279 000 people according to the 2022 census. Data analysis was conducted from April to June 2025. Main Outcomes and Measures: Main outcomes were seroprevalence rates and factors associated with seropositivity; age-stratified infection proportions for the 2014 to 2015 outbreak, pre-outbreak the basic reproduction number (R0), the effective reproduction number (Reff) for 2025, and Reff projections were estimated. Results: Serological data were available for 2363 participants (457 schoolchildren; median [IQR] age, 11 [8-13] years; 244 [53.3%] female, and 1906 adults; 38 [28-52] years; 1003 [52.6%] female). Seroprevalence was 62.8% (95% CI, 58.0%-67.0%) in schoolchildren, and the weighted seroprevalence was 67.6% (95% CI, 64.8%-70.3%) in adults. In adults, lower odds of seropositivity were associated with male sex (adjusted odds ratio [aOR], 0.71; 95% CI, 0.55-0.92), age groups 30 to 44 years and 45 to 69 years compared with 18 to 29 years (ages 30-44 years: aOR, 0.46; 95% CI, 0.32-0.66; ages 45-69 years: aOR, 0.33; 95% CI, 0.22-0.48), living in the Austral subdivision (aOR, 0.38; 95% CI, 0.27-0.55), and higher education (ie, university or more education: aOR, 0.51; 95% CI, 0.32-0.81). Living in larger households and being unpartnered were associated with higher odds of seropositivity (larger households: aOR, 1.69; 95% CI, 1.12-2.56; being unpartnered: aOR, 1.95; 95% CI, 1.03-3.69). Modeled infection rates for 2014 to 2015 ranged from 52.6% (95% credible interval [CrI], 43.6%-60.0%) in children aged 0 to 4 years to 80.8% (95% CrI, 73.3%-86.2%) in those aged 10 to 14 years. Inferred pre-outbreak R0 was 1.78 (95% CrI, 1.73-1.82), and Reff for 2025 was estimated at 0.95 (95% CrI, 0.85-1.04). Assuming assortative mixing, projections suggest Reff would exceed 1 (lower 95% CrI >1) by 2028, but assuming random mixing, Reff would exceed 1 in 2051, more than 20 years later than the other estimate. Conclusions and Relevance: In this cross-sectional study, high chikungunya seroprevalence was observed, with heterogeneity between subdivisions, age groups, and other sociodemographic characteristics. Modeling analysis estimated Reff near 1 in 2025, suggesting sustained transmission could occur if chikungunya is reintroduced. These findings suggest that incorporating contact matrices could improve outbreak risk assessments, while assuming random mixing might underestimate reemergence timing.

Indexed as

Chikungunya FeverDisease OutbreaksAdolescentAdultAgedChikungunya virusChildCross-Sectional StudiesFemaleHumansMaleMiddle AgedPolynesiaSeroepidemiologic StudiesYoung Adult

Identifiers

PMID41848731
PMCPMC13000641

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.