An Ensemble Framework for Projecting the Impact of Lymphatic Filariasis Interventions Across Sub-Saharan Africa at a Fine Spatial Scale

Author:

Touloupou Panayiota1ORCID,Fronterre Claudio2,Cano Jorge3,Prada Joaquin M4,Smith Morgan5,Kontoroupis Periklis6,Brown Paul7,Rivera Rocio Caja8,de Vlas Sake J6,Gunawardena Sharmini9,Irvine Michael A10,Njenga Sammy M11,Reimer Lisa12,Seife Fikre13,Sharma Swarnali14,Michael Edwin8,Stolk Wilma A6,Pulan Rachel15,Spencer Simon E F7,Hollingsworth T Déirdre16

Affiliation:

1. School of Mathematics, University of Birmingham , Birmingham , United Kingdom

2. CHICAS, Lancaster University , Lancaster , United Kingdom

3. Expanded Special Project for Elimination of Neglected Tropical Diseases (ESPEN), WHO Regional Office for Africa , Brazzaville , Democratic Republic of the Congo

4. School of Veterinary Medicine, University of Surrey , Guildford , United Kingdom

5. Department of Biological Sciences, University of Notre Dame , Notre Dame, Indiana , USA

6. Erasmus MC, University Medical Center Rotterdam , Rotterdam , The Netherlands

7. Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick , Coventry , United Kingdom

8. Center for Global Health Infectious Disease Research, University of South Florida , Tampa , USA

9. Department of Parasitology, University of Colombo , Colombo , Sri Lanka

10. Data and Analytic Services, British Columbia Centre for Disease Control , Vancouver , Canada

11. Eastern and Southern Africa Centre of International Parasite Control, Kenya Medical Research Institute (KEMRI) , Nairobi , Kenya

12. Department of Vector Biology, Liverpool School of Tropical Medicine , Liverpool , United Kingdom

13. Disease Prevention and Control Directorate, Federal Ministry of Health , Addis Ababa , Ethiopia

14. Department of Mathematics, Vijaygarh Jyotish Ray College , Kolkata , India

15. Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine , London , United Kingdom

16. Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford , Oxford , United Kingdom

Abstract

Abstract 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.

Funder

Bill & Melinda Gates Foundation

NTD Modelling Consortium

Li Ka Shing Foundation

Big Data Institute

Li Ka Shing Centre for Health Information and Discovery

University of Oxford

Publisher

Oxford University Press (OUP)

Reference38 articles.

1. Global Programme to Eliminate Lymphatic Filariasis: progress report, 2021.;Wkly Epidemiol Rec Trop Dis,2022

2. Progress towards lymphatic filariasis elimination in Ghana from 2000–2016: analysis of microfilaria prevalence data from 430 communities;Biritwum;PLoS Negl Trop Dis,2019

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