Evidence map›Paper›PMID 41754523›Full record

ArticleViruses2026

Increased Mortality Rates During the 2025 Chikungunya Epidemic in Réunion Island.

André Ricardo Ribas Freitas, Luana Hughes Freitas, Antonio Silva Lima Neto, Luciano Pamplona Goes Cavalcanti, Pedro María Alarcón-Elbal

Abstract read
In one paragraph

Article in Viruses, 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

5 authors.

André Ricardo Ribas FreitasCurso de Medicina, Faculdade São Leopoldo Mandic, Instituto de Pesquisa São Leopoldo Mandic, Campinas 13045-755, SP, Brazil.ORCID 0000-0003-0291-7771
Luana Hughes FreitasFaculdade de Engenharia de Computação, Insper, Vila Olímpia, São Paulo 04546-042, SP, Brazil.
Antonio Silva Lima NetoCentro de Ciências da Saúde, Universidade de Fortaleza, Fortaleza 60811-000, CE, Brazil.ORCID 0000-0003-2798-6730
Luciano Pamplona Goes CavalcantiFaculdade de Medicina, Centro Universitário Christus, Fortaleza 60160-000, CE, Brazil.ORCID 0000-0002-3440-1182
Pedro María Alarcón-ElbalDepartment of Animal Production and Health, Public Veterinary Health and Food Science and Technology, Faculty of Veterinary Medicine, Universidad Cardenal Herrera-CEU, CEU Universities, 45115 Valencia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChikungunya virus (CHIKV) has historically been regarded as a low-fatality infection; however, growing evidence from diverse study designs demonstrated a substantial mortality burden during large-scale epidemics. In 2025, Réunion Island experienced a major CHIKV outbreak, raising renewed concerns about its fatal impact.

methodsWe conducted an ecological time-series analysis of all-cause mortality during the 2025 chikungunya epidemic. Expected deaths were estimated using two complementary approaches: (i) a baseline based on age-specific mean mortality rates from the same calendar months in the post-pandemic period and (ii) long-term Poisson regression models using a log-link function and population offset, excluding the COVID-19 pandemic period. Excess mortality was calculated as the difference between observed and expected deaths during periods when observed mortality significantly exceeded the upper bound of the 95% confidence interval (CI).

resultsObserved mortality exceeded the upper 95% CI limit for three consecutive months, coinciding with the epidemic curve and resulting in an estimated 208 excess deaths. These deaths were concentrated among older adults, peaking in April 2025 with a mortality rate ratio of 1.34 (95% CI: 1.22-1.47;

conclusionsChikungunya epidemics are consistently associated with substantial underrecognized mortality worldwide. Routine surveillance relying solely on laboratory confirmation underestimates the true burden of the disease. Integrating excess mortality analysis, strengthening diagnostic and postmortem investigations, and implementing timely mitigation measures are essential to accurately assess and reduce preventable deaths during future CHIKV outbreaks.

Indexed as

Chikungunya FeverAdolescentAdultAgedChikungunya virusChildChild, PreschoolDisease OutbreaksEpidemicsFemaleHumansInfantMaleMiddle AgedReunionYoung Adultarboviruseschikungunya virusemerging infectious diseasesexcess mortalitypublic health surveillanceRéunion Islandunderreporting

Identifiers

PMID41754523
PMCPMC12944855

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.