Malaria is a life-threatening disease causing more than 500,000 deaths every year in sub-Saharan Africa. Prevention of the disease is best achieved by vector control which relies on the use of insecticides. Monitoring mosquito vector populations is an integral component of control programmes and a prerequisite for effective interventions. Several individual methods are used for this task, However, there are obstacles to their uptake, as well as challenges in organizing, interpreting and communicating vector control data.
We will develop a fully integrated and automated multiplex vector-diagnostic platform (LabDisk) for monitoring the species ID, the infection status of mosquitoes and the insecticide resistance profile of malaria vector populations. The system will provide sample-to-answer determinations, and it will perform genotyping at substantially lower cost, compared to the assays that are currently used in Africa.
The LabDisk will be interfaced with a Disease Data Management System (DDMS), custom made data management software which will collect data from routine entomological monitoring activities, store, and make available stratified information based on “user queries” in a standardized way.
The “GAME”, a modern ICT platform that employs interactive ways of communicating guidelines and exemplifying good practices of successful use of interventions in the health sector will be also employed, to teach operational end users the use of data to make informed decisions.
The integrated system (LabDisk, DDMS & Game) will be implemented in four sub-Saharan African countries, highly representative of malaria settings and vector control problems, to support informed decision-making about vector control and disease management. It will cover the urgent needs of an existing “market” and will provide solution to end users, to address a most important societal challenge in Africa, the control of malaria. The system has a vast expansion potential in other applications.
Field of science
- /social sciences/economics and business/business and management/commerce
- /medical and health sciences/health sciences/infectious disease/malaria
- /natural sciences/computer and information sciences/software
Call for proposal
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Funding SchemeRIA - Research and Innovation action
4354 Esch Sur Alzette