The main goal of the study was to assess the current status of Lymphatic Filariasis transmission and to identify environmental and behavioral determinants influencing disease persistence in endemic regions.
Specific objectives included:
Estimating infection prevalence and intensity among community members.
Identifying socio-demographic and behavioral risk factors associated with infection.
Monitoring vector populations to detect ongoing transmission using molecular and entomological methods.
Assessing the impact and coverage of mass drug administration (MDA) programs implemented for LF control.
Evaluating the community’s knowledge and compliance with elimination initiatives
Determined active transmission pockets of W. bancrofti within surveyed communities.
Identified demographic and behavioral risk factors, including poor sanitation and inconsistent MDA participation.
Detected vector presence confirming ongoing transmission cycles despite repeated MDA rounds.
Highlighted gaps in program coverage and public awareness, providing insights for refining LF elimination strategies.
Produced data supporting evidence-based decision-making for LF control programs in Ogun State
This study contributes critical epidemiological and entomological evidence toward eliminating Lymphatic Filariasis as a public health problem in Nigeria.
It supports national and global efforts by:
Providing baseline data for regional surveillance and program evaluation.
Reinforcing the need for integrated vector control and community education.
Enhancing understanding of the human–vector–parasite interaction in LF transmission.
Informing policymakers and public health officers on the efficacy of current interventions and potential areas for improvement
Field Tools: Mosquito traps, structured questionnaires, and GPS mapping for survey coordination.
Laboratory Methods: Microscopy, Rapid Diagnostic Tests (RDTs), and molecular xenomonitoring.
Data Analysis Software: SPSS and Microsoft Excel for statistical and prevalence modeling.
Epidemiological Metrics: Prevalence rates, risk factor correlation, and coverage efficiency indices
