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).

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...

Full description

Bibliographic Details
Published in:PLOS Neglected Tropical Diseases
Main Authors: Santiago Rayment Gomez, Rosie Maddren, Ewnetu Firdawek Liyew, Melkie Chernet, Ufaysa Anjulo, Adugna Tamiru, Getachew Tollera, Geremew Tasew, Birhan Mengistu, Benjamin Collyer, Kathryn Forbes, Roy Anderson
Format: Article in Journal/Newspaper
Language:English
Published: Public Library of Science (PLoS) 2024
Subjects:
Online Access:https://doi.org/10.1371/journal.pntd.0011947
https://doaj.org/article/479bceb884c640e1af6bec3185d52539
Description
Summary: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.