描述第一个全球mopox疫情:对全球监测数据的分析
Henry Laurenson-Schafer1, Nikola Sklenovská1, Ana Hoxha1
1Health Emergencies Programme, WHO, Geneva, Switzerland.
The Lancet. Global health
|June 22, 2023
概括
2022年的mopox (麻疹) 疫情主要是由男性之间的性接触引起的IIb类 MPXV驱动的. 在儿童,老年人,女性和免疫力低下的人群中,住院的风险更高.
科学领域:
- 流行病学 流行病学
- 病毒学 病毒学
- 公共卫生 公共卫生
背景情况:
- 2022年mopox (麻疹) 爆发标志着第一个大规模的全球事件,在非流行国家持续的社区传播.
- 世界卫生组织于2022年7月23日宣布疫情爆发为国际关注的公共卫生紧急情况.
研究的目的:
- 描述全球mopox疫情的流行病学特征.
- 分析与mopox住院相关的风险因素.
- 调查mpox病毒 (MPXV) 的遗传多样性和传播趋势.
主要方法:
- 对2022年1月1日至2023年1月29日确认的mopox病例的全球监测数据的分析.
- 使用病例报告表来报告人口统计,临床和暴露数据.
- 采用多变量混合效应二元物流回归来识别住院风险因素,并分析病毒遗传多样性的测序数据.
主要成果:
- 分析了超过82,000例病例,主要是由IIb类MPXV (系B.1) 引起的.
- 传播主要发生在通过性接触与男性发生性关系的男性中.
- 住院治疗更常见于5岁以下的儿童,65岁以上的成年人,女性和免疫力低下的人.
结论:
- 麻疹疫情是由 IIb 类 MPXV 驱动的,通过新的传播途径,主要是性接触.
- 全球监测对于监测疫情和告知公共卫生反应至关重要.
- 确定高风险群体对于有针对性的干预和预防策略至关重要.
相关概念视频
Principles of Disease Surveillance
131
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...
131
Steps in Outbreak Investigation
155
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:
155
Prevalence and Incidence
641
In statistical epidemiology and health sciences, two essential metrics—prevalence and incidence—are fundamental for understanding disease dynamics within a population. These measures enable public health officials, epidemiologists, and researchers to assess the burden of diseases, allocate resources effectively, and design impactful public health policies and interventions.
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
641
Statistical Methods for Analyzing Epidemiological Data
426
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:
426
Introduction to Epidemiology
805
Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
805
Causality in Epidemiology
500
Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
500


