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Beyond mass drug administration: understanding Schistosomiasis dynamics to STOP transmission

Total Cost €


EC-Contrib. €






 SchiSTOP project word cloud

Explore the words cloud of the SchiSTOP project. It provides you a very rough idea of what is the project "SchiSTOP" about.

glasgow    dr    insights    ntds    killing    moderate    rebound    proven    people    global    transmission    model    alone    health    de    diagnostics    prof    2020    framework    mass    immunology    secondment    drug    ibm    africa    rapid    income    reduce    statistical    erasmus    tropical    mc    reference    seems    round    sake    aged    americas    prevalent    heavy    parasite    gain    edge    proposing    school    world    neglected    models    mda    schistosomiasis    children    dynamics    organization    strategies    african    integrating    infectious    optimal    sdg    biannual    diverse    deadliest    methodological    group    simulate    unlikely    prevalence    poverty    ways    university    mathematical    ntd       move    intensive    mechanisms    poorly    genetics    le    intensity    diseases    stochastic    underlying    priorities    vlas    region    met    infections    poppy    elimination    subtropical    asia    cutting    280    epidemiology    individual    populations    administration    comprehensively    lamberton   

Project "SchiSTOP" data sheet

The following table provides information about the project.


Organization address
postcode: 3015 GD

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Netherlands [NL]
 Total cost 175˙572 €
 EC max contribution 175˙572 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2020
 Duration (year-month-day) from 2020-09-01   to  2022-08-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

Neglected tropical diseases (NTDs) are a diverse group of infections which are especially prevalent in low-income populations in tropical and subtropical areas in Africa, Asia and the Americas. Schistosomiasis is the deadliest NTD killing an estimated 280,000 people each year in the African region alone. The World Health Organization (WHO) 2020 target for schistosomiasis is to reduce the prevalence of heavy-intensity infections to ≤5% among school-aged children through Mass Drug Administration (MDA). However, in areas of moderate and high prevalence the goal seems unlikely to be met as even with intensive biannual MDA, prevalence of infections are still seen to rebound rapidly after each round. The reasons are still poorly understood. Mathematical models and statistical methods have proven to be essential to gain insights into the complex processes underlying the transmission dynamics of infectious diseases. In this research project, I will develop a stochastic individual-based model (IBM) to simulate schistosomiasis transmission integrating cutting-edge mathematical models and statistical methods with recent advances in parasite genetics, epidemiology, diagnostics and immunology. This project aims to advance our current understanding of schistosomiasis transmission dynamics investigating the mechanisms that cause the rapid rebound of prevalence after MDA and proposing optimal implementation of current and novel strategies to achieve schistosomiasis control and move towards elimination. In addition, this project will build a reference methodological framework to comprehensively study other MDA targeted infectious diseases. The proposed project addresses one of the priorities of the EU, through global poverty reduction (SDG goal 1) by promoting ways of improving future health (SDG goal 3).This project will be carried out at Erasmus MC with Prof. Sake J. de Vlas and at University of Glasgow (secondment) with Dr. Poppy Lamberton.

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The information about "SCHISTOP" are provided by the European Opendata Portal: CORDIS opendata.

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