Modeling

Improving disease control and elimination decision making with geospatial algorithms

Can geospatial algorithms be used by disease programs to help identify hotspots at community and Implementation Unit level?

Countries:

Collaborative effort to address intestinal worms through education, medical care, health assessments, quizzes/contests in school

The effectiveness of motivating locals to address intestinal worms through education, medical care and health assessments.

Countries:

Mapping the Potential Risk of Mycetoma Infection in Sudan and South Sudan Using Ecological Niche Modeling

What is the potential distribution of mycetoma in Sudan and South Sudan? What are the most important factors associated with the spatial distriutional patterns of disease cases in Both countries. 

 

Countries: Sudan
Diseases: Mycetoma

District Mapping Onchocerciasis and Lymphatic Filariasis in Kenya

To assess the programmatic feasibility of and determine the most appropriate age group and sample strategy for an onchocerciasis mapping survey for ivermectin-naïve areas.

Countries: Kenya

The Global Atlas of Podoconiosis

Through funding from the Wellcome Trust to develop a global atlas of podoconiosis. We aim to advance new knowledge on the geographical distribution and spatial epidemiology of the disease.

i. Conduct national cross-sectional surveys in selected countries to validate the environmental predictive model developed using the mapping data in Ethiopia.

ii. Create evidence consensus maps, develop risk maps and ground-truthing work and delineate the spatial distribution and geographical limits of podoconiosis globally.

iii. Estimate the global burden of podoconiosis by quantifying the number affected, the population at risk and DALYs attributable.

iv. Estimate how much it will cost to control or eliminate podoconiosis globally.

 

Countries: Ethiopia | Cameroon | Rwanda | Uganda | Burundi | India
Diseases: Podoconiosis

Life on the edge: tackling Africa HAT on the edge of wilderness areas

Our proposal will study the interaction between humans, livestock and wildlife and the role of this transition zone in the transmission of trypanosomes at the edge of the Serengeti National Park in Tanzania. To assess whether focussed control of tsetse is effective, we will develop mathematical models of the transmission of trypanosomes in the transition zone from wildlife-dominated areas on the park boundaries through to livestock-dominated areas outside the parks. The models will enable us to predict the likely extent, duration and cost of interventions required to interrupt the transmission of trypanosomes at boundary areas. 

Countries: Tanzania

Mapping schistosomiasis and soil-transmitted helminthiasis in Namibia

Assessing treatment needs for school-aged children and assisting Ministry of Health to develop an effective control programme

Countries: Namibia

Drug formulation for pre-school children

Understanding the basic pharmacology of praziquantel tailored to paediatric setting and developing a treatment access plan for this age class

Countries:

COUNTDOWN Calling

Helping increase and sustain the scale-up of preventive chemotherapy campaigns in West and Central Africa

Countries:

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