03178nas a2200433 4500000000100000008004100001260001200042653002000054653003500074653002400109653002900133653002500162100001600187700001700203700001100220700001200231700001200243700001800255700001200273700001300285700001400298700001800312700001300330700001300343700001300356700001200369700001300381700001400394700001200408700001200420700001400432700002100446245014100467856008700608300001400695490000700709520201400716022001402730 2024 d c04/202410aensemble models10afine-scale spatial projections10aintervention impact10alinking maps with models10aLymphatic filariasis1 aTouloupou P1 aFronterrè C1 aCano J1 aPrada J1 aSmith M1 aKontoroupis P1 aBrown P1 aRivera R1 ade Vlas S1 aGunawardena S1 aIrvine M1 aNjenga S1 aReimer L1 aSeife F1 aSharma S1 aMichael E1 aStolk W1 aPulan R1 aSpencer S1 aHollingsworth DT00aAn Ensemble Framework for Projecting the Impact of Lymphatic Filariasis Interventions Across Sub-Saharan Africa at a Fine Spatial Scale. uhttps://academic.oup.com/cid/article-pdf/78/Supplement_2/S108/57334427/ciae071.pdf aS108-S1160 v783 a

Background: Lymphatic filariasis (LF) is a neglected tropical disease targeted for elimination as a public health problem by 2030. Although mass treatments have led to huge reductions in LF prevalence, some countries or regions may find it difficult to achieve elimination by 2030 owing to various factors, including local differences in transmission. Subnational projections of intervention impact are a useful tool in understanding these dynamics, but correctly characterizing their uncertainty is challenging.

Methods: We developed a computationally feasible framework for providing subnational projections for LF across 44 sub-Saharan African countries using ensemble models, guided by historical control data, to allow assessment of the role of subnational heterogeneities in global goal achievement. Projected scenarios include ongoing annual treatment from 2018 to 2030, enhanced coverage, and biannual treatment.

Results: Our projections suggest that progress is likely to continue well. However, highly endemic locations currently deploying strategies with the lower World Health Organization recommended coverage (65%) and frequency (annual) are expected to have slow decreases in prevalence. Increasing intervention frequency or coverage can accelerate progress by up to 5 or 6 years, respectively.

Conclusions: While projections based on baseline data have limitations, our methodological advancements provide assessments of potential bottlenecks for the global goals for LF arising from subnational heterogeneities. In particular, areas with high baseline prevalence may face challenges in achieving the 2030 goals, extending the "tail" of interventions. Enhancing intervention frequency and/or coverage will accelerate progress. Our approach facilitates preimplementation assessments of the impact of local interventions and is applicable to other regions and neglected tropical diseases.

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