现在是解决估计和报告印度及其他地区疟疾病例的缺陷的时候了
Nimita Deora1, Richa Singhal1,2, Abhinav Sinha3,2
1ICMR-National Institute of Malaria Research, New Delhi, India.
BMJ global health
|September 23, 2025
概括
印度在估计和报告的疟疾病例之间存在很大的差距,国家疟疾控制计划 (NMCP) 和世界卫生组织 (WHO) 在疟疾负担方面存在差异. 这种因私营部门报告不足而导致的差异,阻碍了消除疟疾的努力.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 全球健康 全球健康
背景情况:
- 印度的目标是到2030年消除疟疾,但国家计划和世卫组织之间存在着关于实际疟疾负担的持续辩论.
- 印度国家疟疾控制计划 (NMCPs) 和世界卫生组织 (WHO) 估计报告的疟疾病例之间存在着显著的未解决的差距.
研究的目的:
- 批判性地分析2010-2022年印度估计和报告的疟疾病例 (ERR) 之间的差距.
- 调查ERR背后的原因,重点关注世卫组织估计方法和私营部门报告.
主要方法:
- 计算了2010年至2022年疟疾估计与报告病例比率 (ERR).
- 检查了世卫组织对疟疾病例估计的假设,并将ERR与私营部门报告和印度疟疾负担研究数据相关联.
主要成果:
- 从2010年到2022年观察到持续高的ERR (印度>10,世卫组织-东南亚地区>6)
- 世卫组织的估计因素缺乏明确性;印度的私营部门疟疾病例报告是可以忽略不计的,这导致了高ERR.
- 当代研究表明显微镜阳性率比NMCP报告的数字高3-55倍.
结论:
- 印度估计和报告的疟疾病例之间的巨大差距主要是由于私营部门报告不存在以及世卫组织估计调整不清楚.
- 解决私营部门病例报告和澄清世卫组织的方法对于缩小ERR和实现疟疾消除目标至关重要.
更多相关视频
10:50Detection and Quantification of Plasmodium falciparum in Aqueous Red Blood Cells by Attenuated Total Reflection Infrared Spectroscopy and Multivariate Data Analysis
Published on: November 2, 2018
8.4K
05:35Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management
Published on: January 19, 2024
1.3K
相关概念视频
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
Strategies for Assessing and Addressing Confounding
364
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
364
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
