other·epidemiology, public health, infectious disease, preclinical research, biomedical research·PMC10231811
Lymphatic filariasis endgame strategies: Using GEOFIL to model mass drug administration and targeted surveillance and treatment strategies in American Samoa
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This simulation study used a spatially explicit agent-based model to compare territory-wide mass drug administration with targeted household-based strategies for controlling lymphatic filariasis in American Samoa. The central result is that targeted household-based strategies can achieve similar long-term control probabilities as mass drug administration while requiring substantially fewer treatments, though they demand more intensive testing.
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This study employed the GEOFIL agent-based model to simulate and compare lymphatic filariasis control strategies in American Samoa. The model incorporated a synthetic population with realistic daily routines and transmission dynamics. Simulations compared three coverage levels (65%, 73%, 85%) of territory-wide triple-drug MDA with targeted surveillance and treatment strategies relying on household-based testing and reactive treatment within a defined radius. The primary outcome was 'control probability'—the proportion of simulations where microfilariae prevalence decreased between 2030 and 2035. Results indicated that without intervention, antigen prevalence is predicted to rebound. A 90% control probability required at least 4, 3, or 2 further rounds of MDA at 65%, 73%, or 85% coverage, respectively. School- and workplace-based strategies were ineffective.