索马里巴纳迪尔地区境内流离失所弱势人口的社区死亡率监测,2022-2023年
Mohamed Hussein Adam1,2, Bashiru Garba1,2,3, Hassan Abdullahi Dahie4
1Department of Public Health, Faculty of Medicine and Health Sciences, SIMAD University, Mogadishu, Somalia.
Frontiers in public health
|April 24, 2025
概括
在索马里,索马里.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 人道主义医学 人道主义医学
背景情况:
- 索马里的人道主义危机,由冲突和干旱加剧,严重影响其卫生系统.
- 由于死亡原因数据有限,国内流离失所者 (IDPs) 的高死亡率被人们理解得很少.
- 现有的卫生基础设施受到压力,需要改善死亡率监测.
研究的目的:
- 确定索马里境内流离失所者 (IDPs) 的死亡原因,使用综合口头尸检 (VA) 和社区监视 (CBS).
- 为巴纳迪尔地区境内流离失所者提供针对性卫生干预措施的关键数据.
- 评估死亡率趋势并确定危机影响人口中死亡的主要驱动因素.
主要方法:
- 在57个境内流离失所者营地 (2022年10月至2023年11月) 进行了一项混合的回顾性和前性死亡率监测研究.
- 由世卫组织标准化的口头尸检 (VA) 方法被用于确定死亡原因.
- 基于社区的监测 (CBS) 数据收集包括追溯和前性轮次.
主要成果:
- 在前性监测中,整体原始死亡率 (CDR) 为每10,000人时0.64.
- 导致死亡的主要原因包括严重营养不良,呼吸道感染和腹疾病.
- 在5岁以下的儿童中,营养不良,麻疹和新生儿肺炎是主要原因.
结论:
- 严重的营养不良和传染病是索马里境内流离失所者死亡的主要原因.
- 综合VA和CBS对于了解人道主义危机中的死亡率是有效的.
- 持续的监测和有针对性的干预对于减轻索马里境内流离失所者营地的过度死亡率至关重要.
关键词:
索马里索马里索马里索马里基于社区的监测监测是基于社区的监测.人道主义危机 人道主义危机传染病是一种传染性疾病.国内流离失所者 国内流离失所者营养不良 营养不良 营养不良死亡率 死亡率 死亡率在口头解剖中,进行了口头尸检.更多相关视频
09:33Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
Published on: December 23, 2022
2.1K
10:46A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
10.6K
相关概念视频
Steps in Outbreak Investigation
90
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:
90
Actuarial Approach
39
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
39
Assumptions of Survival Analysis
57
Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
57
Censoring Survival Data
41
Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
41
