Jan 2013 – Apr 2017

Schistosomiasis Control Initiative



Multiple countries – Global

To provide an evidence base for the improvement and expansion of the World Health Organization’s (WHO) deworming guidelines.

$577,709 Multi-Year Grant Value

Through mathematical modelling and analysis of data from sites in Uganda, as well as Schistosomiasis Control Initiative's (SCI) historical and current empirical data, this operational research investment will fill the knowledge gaps surrounding the transition of deworming programmes from controlling the disease caused by worms to the elimination of worms. Unlike the complementary NTD Modelling Consortium investment whose focus is solely schistosomiasis, this investment focuses on both soil-transmitted helminths (STH) and schistosomiasis, and uses both empirical data and modelling techniques. The SCI modellers work very closely with the WHO and use Markov modelling techniques to set short term expectations for deworming programmes. These models will be used by programme managers to understand whether their deworming programmes are on target to achieve their goals.

SCI is in a unique position to provide modelling guidance both to the WHO at the global level and to countries at national level as it provides technical support to several ongoing programmes in sub-Saharan Africa. Crucially, its connection to endemic countries allows SCI to support analysis of existing data to inform, validate and supplement the modelling work. 


The key impact for this operational research investment will be the improvement of the WHO’s deworming guidelines as well as programming on the ground. Data analysis and modelling from this investment will allow national governments to track progress and plan for the impact of their deworming programmes, resulting in higher-quality and more cost-effective programming.

The schistosomiasis Markov model has been published this year and work is ongoing to make the model available online alongside the STH model. Analysis of Uganda data, along with data from other countries, is being shared with the WHO to inform programming and re-mapping strategies. Papers describing this analysis will be available in 2017.