Brena F Sena, Danyelly Bruneska Gondim Martins, Carmen Simone Grilo Diniz, José Luiz Lima Filho
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引用次数: 0
Abstract
Objective: To 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.
Methods: A 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.
Results: Significant 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.
Conclusion: Sex- 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.
目的：评估虫媒病毒感染（特别是登革热病毒、基孔肯雅病毒和寨卡病毒）对巴西妇女的不同影响，重点是性别和年龄分类分析。方法：利用巴西国家卫生数据系统(包括疾病通报系统（Sistema de informa o de Agravos de notifica o）和死亡率信息系统（Sistema de informa o sobre Mortalidade）的数据进行流行病学和地理空间综合数据分析，涵盖国家和市级数据。采用广义线性混合模型和负二项回归分析虫媒病毒病例报告率，并按性别、年龄组和年份分层。地理空间可视化绘制了发病率分布图，突出显示了女性发病率和住院率最高的城市。所有分析均在统计软件r中实施。结果：在过去七年中，在登革热病毒、基孔肯雅病毒和寨卡病毒的虫媒病毒报告率中观察到显著的性别和年龄分层差异，女性的报告率始终高于男性。分层分析显示，年龄在20-59岁之间的女性，特别是育龄女性，对所有三种病毒的负担都要高得多。登革热病毒的低血清分型分辨率限制了进一步的细粒度分析，特别是对基于登革热血清型的住院和死亡率等严重结果的分析。结论：按性别和年龄分列的流行病学监测对制定针对虫媒病毒病的公共卫生政策和干预措施至关重要。这项研究强调了纳入特定性别数据分析的必要性，以优化弱势女性群体的应对措施。地理空间可视化显示感染热点，为区域特定干预措施提供可操作的见解，以改善巴西的健康结果。
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