Identifying drivers of schistosomiasis treatment failure and recommendations for treatment strategies (DRIVERS)

Year of award: 2025

Grantholders

  • Prof Poppy Lamberton

    University of Glasgow, United Kingdom

  • Prof Poppy Lamberton

    University of Glasgow, United Kingdom

  • Prof Poppy Lamberton

    University of Glasgow, United Kingdom

  • Dr Jessica Clark

    University of Glasgow, United Kingdom

  • Prof Poppy Lamberton

    University of Glasgow, United Kingdom

  • Prof Matthew Berriman

    University of Glasgow, United Kingdom

  • Prof James Cotton

    University of Glasgow, United Kingdom

  • Dr Joaquin Prada

    University of Surrey, United Kingdom

  • Dr Justin Nono Komguep

    Default Community Account

  • Dr Jean Coulibaly

    Centre Suisse De Recherches Scientifiques - Cote D'ivoire, Cote d'Ivoire

  • Dr Rachel Pullan

    London School of Hygiene & Tropical Medicine, United Kingdom

  • Dr Sekeleghe Kayuni

    Malawi Liverpool Wellcome Programme, Malawi

  • Dr Janelisa Musaya

    Malawi Liverpool Wellcome Trust Clinical Research Programme, Malawi

  • Dr Paul Johnson

    University of Glasgow, United Kingdom

  • Dr Fiona Allan

    London School of Hygiene & Tropical Medicine, United Kingdom

  • Dr Fiona Fleming

    Default Community Account

Project summary

Over 150 million people have the debilitating disease schistosomiasis. Despite >20 years of praziquantel mass drug administration (MDA) and the WHO 2030 goal of elimination as a public-health problem, transmission remains high in many places and treatment success varies greatly. Understanding drivers of treatment failures is needed to inform more effective control. In low and high endemicity, Schistosoma haematobium and Schistosoma mansoni settings in Côte d’Ivoire and Malawi, we will address key knowledge gaps through three main interlinking aims: 

1: Estimate true worm burdens, clearance, reinfection, and proportions of worms shedding eggs, pre- and post-praziquantel. 

2: Quantify drivers of treatment failures characterised as: 

- 2a: Poor worm-burden reduction in individuals post-treatment;
- 2b: Rapid individual reinfection post-treatment; 2c: Persistent community transmission despite repeated treatments.

 3: Develop informed, context-specific models and tools, to identify intervention strategies that tackle treatment failures to more effectively reduce schistosomiasis burden. 

Combining detailed longitudinal epidemiology, immunology, pharmacokinetics, parasite genetics, host behaviour, malacology, environmental and MDA coverage data, within geospatial, causal inference, state-space and transmission modelling frameworks, we will provide accurate estimates of worm-burden dynamics, characterise causal factors of treatment failures, and identify and assess the impact of improved intervention strategies in field-validated, individual-based transmission models.