Suppr超能文献

从一项评估埃塞俄比亚南部沃莱塔地区土壤传播蠕虫传播中断的纵向流行病学研究来看,大规模药物治疗存在空间异质性(Geshiyaro 项目)。

Spatial heterogeneity in mass drug administration from a longitudinal epidemiological study assessing transmission interruption of soil transmitted helminths in the Wolaita zone of southern Ethiopia (Geshiyaro Project).

机构信息

London Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, Faculty of Medicine, St Marys Campus, Imperial College London, London, United Kingdom.

Bacterial, Parasitic and Zoonotic Disease Research Directorate, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.

出版信息

PLoS Negl Trop Dis. 2024 Feb 8;18(2):e0011947. doi: 10.1371/journal.pntd.0011947. eCollection 2024 Feb.

Abstract

OBJECTIVES

Deworming programmes of soil-transmitted helminths are generally monitored and evaluated by aggregating drug coverage and infection levels at a district level. However, heterogeneity in drug coverage at finer spatial scales means indicators may remain above thresholds for elimination as a public health problem or of transmission in some areas. This paper aims to highlight the misleading information that aggregating data at larger spatial scales can have for programme decision making.

METHODS

Drug coverage data from the Geshiyaro project were compared at two spatial scales with reference to the World Health Organisation's targets. District (woreda) and village (kebele) level were compared. The association between infection levels and drug coverage was analysed by fitting a weighted least-squares function to the mean intensity of infection (eggs per gram of faeces) against drug coverage.

RESULTS

The data show clearly that when the evaluation of coverage is aggregated to the district level, information on heterogeneity at a finer spatial scale is lost. Infection intensity decreases significantly (p = 0.0023) with increasing drug coverage.

CONCLUSION

Aggregating data at large spatial scales can result in prematurely ceasing deworming, prompting rapid infection bounce-back. There is a strong need to define context-specific spatial scales for monitoring and evaluating intervention programmes.

摘要

目的

针对土壤传播性蠕虫的驱虫方案通常通过汇总地区层面的药物覆盖率和感染水平进行监测和评估。然而,在更精细的空间尺度上药物覆盖率存在异质性,这意味着在某些地区,指标可能仍然高于消除公共卫生问题或传播的阈值。本文旨在强调在较大的空间尺度上汇总数据可能会对方案决策产生误导信息。

方法

参照世界卫生组织的目标,在两个空间尺度上比较了 Geshiyaro 项目的药物覆盖率数据。对地区( woreda )和村庄( kebele )层面进行了比较。通过拟合加权最小二乘函数,分析了感染水平与药物覆盖率之间的关系,拟合函数的自变量为粪便中每克卵的平均感染强度( eggs per gram of faeces )。

结果

数据清楚地表明,当评估覆盖率被汇总到地区层面时,较精细空间尺度上的异质性信息就会丢失。感染强度随着药物覆盖率的增加而显著下降(p = 0.0023)。

结论

在较大的空间尺度上汇总数据可能导致过早停止驱虫,促使感染迅速反弹。非常有必要为监测和评估干预方案定义特定背景的空间尺度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6bd3/10880954/2c56ab1aad24/pntd.0011947.g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验