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Subnational Projections of Lymphatic Filariasis Elimination Targets in Ethiopia to Support National Level Policy.
Prada, Joaquin M; Touloupou, Panayiota; Kebede, Biruck; Giorgi, Emanuelle; Sime, Heven; Smith, Morgan; Kontoroupis, Periklis; Brown, Paul; Cano, Jorge; Farkas, Hajnal; Irvine, Mike; Reimer, Lisa; Caja Rivera, Rocio; de Vlas, Sake J; Michael, Edwin; Stolk, Wilma A; Pulan, Rachel; Spencer, Simon E F; Hollingsworth, T Déirdre; Seife, Fikre.
Afiliação
  • Prada JM; Department of Comparative Biomedical Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom.
  • Touloupou P; School of Mathematics, University of Birmingham, Birmingham, United Kingdom.
  • Kebede B; RTI International, 3040 E Cornwallis Rd, Research Triangle Park, North Carolina 27709, USA.
  • Giorgi E; CHICAS, Lancaster University, Lancaster, United Kingdom.
  • Sime H; Malaria and Neglected Tropical Diseases Research Team, Bacterial, Parasitic and Zoonotic Disease Research Directorate, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
  • Smith M; Department of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, USA.
  • Kontoroupis P; Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
  • Brown P; Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research, University of Warwick, Coventry, United Kingdom.
  • Cano J; Expanded Special Project for Elimination of Neglected Tropical Diseases (ESPEN), WHO Regional Office for Africa, Brazzaville, Democratic Republic of the Congo.
  • Farkas H; Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research, University of Warwick, Coventry, United Kingdom.
  • Irvine M; Faculty of Science, BC Centre for Disease Control, Vancouver, Canada.
  • Reimer L; Department of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.
  • Caja Rivera R; College of Public Health, University of South Florida, Tampa, Florida, USA.
  • de Vlas SJ; Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
  • Michael E; College of Public Health, University of South Florida, Tampa, Florida, USA.
  • Stolk WA; Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
  • Pulan R; Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom.
  • Spencer SEF; Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research, University of Warwick, Coventry, United Kingdom.
  • Hollingsworth TD; Nuffield Department of Medicine, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom.
  • Seife F; Disease Prevention and Control Directorate, Federal Ministry of Health, Addis Ababa, Ethiopia.
Clin Infect Dis ; 78(Supplement_2): S117-S125, 2024 Apr 25.
Article em En | MEDLINE | ID: mdl-38662702
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Filariose Linfática / Erradicação de Doenças Limite: Humans País/Região como assunto: Africa Idioma: En Revista: Clin Infect Dis Assunto da revista: DOENCAS TRANSMISSIVEIS Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Filariose Linfática / Erradicação de Doenças Limite: Humans País/Região como assunto: Africa Idioma: En Revista: Clin Infect Dis Assunto da revista: DOENCAS TRANSMISSIVEIS Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Reino Unido