2010年至2023年间巴西白病的时空动态:识别高风险地区和性别特异性模式
1Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia.
Acta tropica
|January 14, 2026
概括
巴西的白病风险显示出显著的空间差异和性别差异. 高风险地区需要有针对性的长期干预措施来控制这种被忽视的动物传播疾病.
科学领域:
- 流行病学 流行病学
- 传染性疾病 传染性疾病
- 公共卫生 公共卫生
背景情况:
- 莱普陀螺杆菌病是一种被忽视的动物传染病,在热带地区普遍存在.
- 由于社会经济因素,基础设施和环境条件,巴西面临着高负担.
- 了解巴西整个角质症风险的时空模式和性别差异至关重要.
研究的目的:
- 分析2010年至2023年巴西白病风险的空间分布,时间动态和性别特异性模式.
- 确定高风险集群和特有地区.
- 为了告知有针对性的疾病控制战略.
主要方法:
- 微区域级别确认的白病例和人口数据的回顾性分析.
- 时空扫描统计数据,以识别高风险集群.
- 贝叶斯的时空模型用于估计按性别分层的相对风险 (RRs).
主要成果:
- 报告了48,190例病例;80.1%是男性.
- 时间峰值在2011年和2018年,在COVID-19期间出现下降.
- 确定了30个重要的集群,主要在阿克里和巴西南部,一些微区域显示RR > 20.
- 在几个领域观察到不同的性别特异性趋势.
结论:
- 巴西的白病风险表现出显著的空间异质性和性别差异.
- 持续的热点需要长期的,局部干预.
- 高分辨率的时空建模和数据可视化工具对于公平的疾病控制至关重要.
更多相关视频
11:50High-throughput Parallel Sequencing to Measure Fitness of Leptospira interrogans Transposon Insertion Mutants During Golden Syrian Hamster Infection
Published on: December 18, 2017
9.3K
14:49Application of CRISPR Interference CRISPRi for Gene Silencing in Pathogenic Species of Leptospira
Published on: August 14, 2021
5.7K
相关概念视频
Bacterial Phylum Spirochaetes
594
Spirochetes, unique bacteria in the phylum Spirochaetes, are gram-negative, motile, tightly coiled, slender, and flexible. They inhabit aquatic sediments and animals, with some causing diseases like syphilis. Spirochetes are classified into eight genera based on habitat, pathogenicity, phylogeny, and characteristics.Their distinctive motility arises from endoflagella, located within the cell’s periplasm. These endoflagella anchor at the cell poles and extend along the cell length, encased...
594
Steps in Outbreak Investigation
492
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
492
Principles of Disease Surveillance
466
Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
466
Statistical Methods for Analyzing Epidemiological Data
898
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
898
