Evidence map›Paper›PMID 40688564›Full record

ArticleLancet regional health. Americas2025

Hospitalisation, mortality and years of life lost among chikungunya and dengue cases in Brazil: a nationwide cohort study, 2015-2024.

Thiago Cerqueira-Silva, Luciana L Cardim, Enny Paixão, Marta Rossi, Andreia Costa Santos, André Portela F de Souza, Gervasio Santos, Mauricio L Barreto, Elizabeth B Brickley, Julia M Pescarini

Abstract read
In one paragraph

Article in Lancet regional health. Americas, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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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

10 authors.

Thiago Cerqueira-SilvaFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
Luciana L CardimCentro de Integração de Dados e Conhecimento para a Saúde (CIDACS), Fundação Oswaldo Cruz, Salvador, Bahia, Brazil.
Enny PaixãoFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
Marta RossiCentro de Integração de Dados e Conhecimento para a Saúde (CIDACS), Fundação Oswaldo Cruz, Salvador, Bahia, Brazil.
Andreia Costa SantosFaculty of Sports, Technology and Health Sciences, St Mary's University, London, UK.
André Portela F de SouzaFundação Getúlio Vargas, São Paulo, São Paulo, Brazil.
Gervasio SantosCentro de Integração de Dados e Conhecimento para a Saúde (CIDACS), Fundação Oswaldo Cruz, Salvador, Bahia, Brazil.
Mauricio L BarretoCentro de Integração de Dados e Conhecimento para a Saúde (CIDACS), Fundação Oswaldo Cruz, Salvador, Bahia, Brazil.
Elizabeth B BrickleyFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
Julia M PescariniFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The incidence of infections from arthropod-borne viruses, including chikungunya and dengue, is increasing globally. We used nationwide data collected over a decade in Brazil to examine the factors associated with hospitalisation, in-hospital mortality, and the years of life lost from these diseases in Brazil. Methods: Using nationwide de-identified chikungunya and dengue disease records registered from 1st January 2015 to 31 December 2024, we estimated the risk factors for hospitalisation and in-hospital mortality via logistic regression and the Fine and Gray model, respectively. We also calculated the years of life lost for each disease and the average of years of life lost (aYLL), stratified by geographic region, sex and race/ethnicity. Findings: We studied 1,125,209 chikungunya cases: 21,336 (1.9%) required hospitalisations. Among hospitalised cases, 1044 (4.9%) deaths occurred within 84 days of symptom onset, of which 728 (69.7%) were attributed to chikungunya. We studied 13,741,408 dengue cases: 455,899 (3.3%) required hospitalisation, with 12,969 (2.8%) deaths among the hospitalised cases, with 9989 (77.0%) attributed to dengue. Age (<1 or ≥70 years), sex (male), and the presence of diabetes and kidney disease were risk factors for hospitalisation and in-hospital mortality in both diseases. The aYLL for chikungunya was 16.0 years, and for dengue, 14.5 years; however, the burden was not evenly distributed across the population. For chikungunya, Black participants experienced the highest aYLL of 22.0 years, while White participants were the least affected (aYLL: 13.0). For dengue, the most affected group was Indigenous (aYLL: 22.5) and the least White (aYLL: 12.6). Interpretation: Infants, older people (≥70 years), male sex and the presence of comorbidities are associated with increased severity in cases of chikungunya and dengue. These diseases disproportionately affect historically minoritised populations, with participants who self-identified as Black and Indigenous experiencing significantly greater years of life lost compared to the white population. Mitigating the impacts of chikungunya and dengue necessitates addressing health and social inequities. Funding: Royal Society, Wellcome Trust, CNPq.

Indexed as

ChikungunyaCompeting risksDengueLatin AmericaPrognosis

Identifiers

PMID40688564
PMCPMC12273570

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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.