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