Skip to main navigation Skip to search Skip to main content

Subnational Projections of Lymphatic Filariasis Elimination Targets in Ethiopia to Support National Level Policy.

  • Joaquin M. Prada
  • , Panayiota Touloupou
  • , Biruck Kebede
  • , Emanuelle Giorgi
  • , Heven Sime
  • , Morgan Smith
  • , Periklis Kontoroupis
  • , Paul Brown
  • , Jorge Cano
  • , Hajnal Farkas
  • , Mike Irvine
  • , Lisa Reimer
  • , Rocio Caja Rivera
  • , Sake J. De Vlas
  • , Edwin Michael
  • , Wilma A. Stolk
  • , Rachel Pulan
  • , Simon E.F. Spencer
  • , T. Deirdre Hollingsworth
  • , Fikre Seife
  • University of Surrey
  • University of Birmingham
  • RTI International
  • Lancaster University
  • Ethiopia Public Health Institute
  • University of Notre Dame
  • Erasmus University Rotterdam
  • University of Warwick
  • World Health Organization Regional Office for Africa
  • BC Centre for Disease Control
  • University of South Florida
  • London School of Hygiene and Tropical Medicine
  • University of Oxford
  • Federal Ministry of Health, Ethiopia

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Background

Lymphatic filariasis (LF) is a debilitating, poverty-promoting, neglected tropical disease (NTD) targeted for worldwide elimination as a public health problem (EPHP) by 2030. Evaluating progress towards this target for national programmes is challenging, due to differences in disease transmission and interventions at the subnational level. Mathematical models can help address these challenges by capturing spatial heterogeneities and evaluating progress towards LF elimination and how different interventions could be leveraged to achieve elimination by 2030.

Methods

Here we used a novel approach to combine historical geo-spatial disease prevalence maps of LF in Ethiopia with 3 contemporary disease transmission models to project trends in infection under different intervention scenarios at subnational level.

Results

Our findings show that local context, particularly the coverage of interventions, is an important determinant for the success of control and elimination programmes. Furthermore, although current strategies seem sufficient to achieve LF elimination by 2030, some areas may benefit from the implementation of alternative strategies, such as using enhanced coverage or increased frequency, to accelerate progress towards the 2030 targets.

Conclusions

The combination of geospatial disease prevalence maps of LF with transmission models and intervention histories enables the projection of trends in infection at the subnational level under different control scenarios in Ethiopia. This approach, which adapts transmission models to local settings, may be useful to inform the design of optimal interventions at the subnational level in other LF endemic regions.

Original languageEnglish
Pages (from-to)S117-S125
JournalClinical Infectious Diseases
Volume78
DOIs
Publication statusPublished - 25 Apr 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Ethiopia
  • geospatial
  • lymphatic filariasis
  • model
  • projections

Fingerprint

Dive into the research topics of 'Subnational Projections of Lymphatic Filariasis Elimination Targets in Ethiopia to Support National Level Policy.'. Together they form a unique fingerprint.

Cite this