biostudies-literatureTitaley CRCoalition for Operational Research on Neglected Tropical Diseasese0010900https://www.ebi.ac.uk/biostudies/studies/S-EPMC9683609biostudies-literatureUnknown16(11)<h4>Background</h4>One challenge to achieving Lymphatic filariasis (LF) elimination is the persistent coverage-compliance gap during annual mass drug administration (MDA) and the risk of ongoing transmission among never treated individuals. Our analysis examined factors associated with individuals who were never treated during MDA.<h4>Methods</h4>Data were derived from two cross-sectional surveys conducted in Waihaong and Air Salobar Health Center in 2018 and 2019. We analyzed information from 1915 respondents aged 18 years or above. The study outcome was individuals who self-reported never treatment during any round of MDA. All potential predictors were grouped into socio-demographic, health system, therapy and individual factors. Logistic regression analyses were used to examine factors PLoS neglected tropical diseasesAssessment of factors related to individuals who were never treated during mass drug administration for lymphatic filariasis in Ambon City, Indonesia.PMC9683609NTDSC 140DTitaley CRQue BJAriawan Ide Lima FKrentel ANaz SFWorrell CMTaihuttu YMJfalseAssessment of factors related to individuals who were never treated during mass drug administration for lymphatic filariasis in Ambon City, Indonesia.<h4>Background</h4>One challenge to achieving Lymphatic filariasis (LF) elimination is the persistent coverage-compliance gap during annual mass drug administration (MDA) and the risk of ongoing transmission among never treated individuals. Our analysis examined factors associated with individuals who were never treated during MDA.<h4>Methods</h4>Data were derived from two cross-sectional surveys conducted in Waihaong and Air Salobar Health Center in 2018 and 2019. We analyzed information from 1915 respondents aged 18 years or above. The study outcome was individuals who self-reported never treatment during any round of MDA. All potential predictors were grouped into socio-demographic, health system, therapy and individual factors. Logistic regression analyses were used to examine factors 2022-01-01T00:00:00Z2022 Nov2025-04-25T20:59:24.201Z2025-04-06T08:36:57.594ZS-EPMC96836093636785310.1371/journal.pntd.0010900