Project Title: Building Sustainable Modelling Capacity in Tanzania
Project Description: The main objective for this phase is to establish a sustainable data science and mathematical modeling capacity by building upon the achievements of phase one, continuing to provide technical support to national malaria programs (NMPs), and expanding into new projects through various initiatives. Specifically, the objectives are to strengthen the team with data science and mathematical modeling skills to undertake key projects addressing the aforementioned research questions, supporting researchers, and providing technical assistance to NMPs.... The main objective for this phase is to establish a sustainable data science and mathematical modeling capacity by building upon the achievements of phase one, continuing to provide technical support to national malaria programs (NMPs), and expanding into new projects through various initiatives. Specifically, the objectives are to strengthen the team with data science and mathematical modeling skills to undertake key projects addressing the aforementioned research questions, supporting researchers, and providing technical assistance to NMPs. Specifically; To strengthen malaria surveillance systems: Focus on enhancing the Mosquito Database Management System (MosquitoDB). Improve the functionality and effectiveness of malaria surveillance systems to enhance data collection and analysis. To adapt and extend existing models and develop novel models: Focus on developing statistical and novel mathematical models to address specific model-related questions (e.g., improvement of vector control trials and assessment of the impact of antimalarial drug resistance). Adapt and improve VCOM to recommend optimal strategies for larviciding deployment strategies across different malaria transmission strata and address other scientific questions. Equip researchers and NMPs with the aforementioned Tools (i.e., surveillance systems and models): Provide researchers and NMPs with tools such as improved surveillance systems and models. Enable NMPs to effectively manage and integrate malaria-related data and address their specific modelling needs according to established priorities.
Principal Investigator : Samson Kiware
Department Name :
Time frame: (2024-05-01) - (2027-04-30)
Bill and Melinda Gates Foundation (BMGF) (Normal)
External Collaborating Partners
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