TY - JOUR AU - Runge, Manuela AU - Molteni, Fabrizio AU - Mandike, Renata AU - Snow, Robert W. AU - Lengeler, Christian AU - Mohamed, Ally AU - Pothin, Emilie PY - 2020 DA - 2020/03/02 TI - Applied mathematical modelling to inform national malaria policies, strategies and operations in Tanzania JO - Malaria Journal SP - 101 VL - 19 IS - 1 AB - More than ever, it is crucial to make the best use of existing country data, and analytical tools for developing malaria control strategies as the heterogeneity in malaria risk within countries is increasing, and the available malaria control tools are expanding while large funding gaps exist. Global and local policymakers, as well as funders, increasingly recognize the value of mathematical modelling as a strategic tool to support decision making. This case study article describes the long-term use of modelling in close collaboration with the National Malaria Control Programme (NMCP) in Tanzania, the challenges encountered and lessons learned. SN - 1475-2875 UR - https://doi.org/10.1186/s12936-020-03173-0 DO - 10.1186/s12936-020-03173-0 ID - Runge2020 ER -