ArticleRevista de saude publica2025
Sex-specific public health data: analyzing the arboviral impact on women in Brazil.
Article in Revista de saude publica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Distinct inflammatory biomarkers associated with rheumatological outcomes in chronic chikungunya disease.Scientific reports · 2026Article
- A sex-biased response of the adult brain to Zika virus infection: from down-regulation of neuronal IRF3 to enhanced pathology in adult female mice.Cell communication and signaling : CCS · 2026Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo evaluate the differential impact of arboviral infections, specifically dengue virus, chikungunya virus, and Zika virus, on women in Brazil, with a focus on sex- and age-disaggregated analyses.
methodsA comprehensive epidemiological and geospatial data analysis was conducted utilizing data from Brazil's national health data system, including the disease notification system (Sistema de Informação de Agravos de Notificação) and mortality information system (Sistema de Informação sobre Mortalidade), covering national and municipal level data. Arboviral case notification rates were analyzed using generalized linear mixed models with negative binomial regression, stratified by sex, age group, and year. Geospatial visualizations mapped the case rate distribution highlighting the top municipalities with the most female case rate and hospitalizations rate. All analyses were implemented in the statistical software R.
resultsSignificant sex- and age-stratified differences were observed in the arbovirus notification rates for dengue virus, chikungunya virus, and Zika virus over the past seven years, with consistently higher rates among women compared to men. Stratified analyses revealed that females aged 20-59 years, particularly those of reproductive age, bore a disproportionately higher burden across all three viruses. The low serotyping resolution for the dengue virus constrained further granular analysis, particularly for severe outcomes such as hospitalizations and mortality based on dengue serotype.
conclusionSex- and age-disaggregated epidemiological surveillance is critical to inform public health policies and interventions targeting arboviral diseases. This study underscores the necessity of incorporating sex-specific data analyses to optimize responses for vulnerable female populations. Geospatial visualizations reveal infection hotspots, providing actionable insights for region-specific interventions to improve health outcomes in Brazil.
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