Program Overview
Motivation
SNT is here to stay: many NMCPs have found it useful and are continuing to embrace it and further develop it for their analytical needs. Since 2019, multiple individuals have supported the analysis portions of SNT. In most cases, individuals have built their own code in a variety of languages (Stata, R, and Python), sometimes building on others’ previous code and sometimes re-developed independently.
As SNT matures, more quality assurance is needed such that NMCPs can be confident that the analysis they use to inform their decisions is of high quality regardless of the individual supporting analyst. The continued rollout of SNT also means that analysis can become more efficient if analysts are better able to build on each other’s work rather than tempted to reinvent what has already been developed. Lastly, SNT analysis can become much more accessible if there is a common resource available to help those with intermediate coding skills quickly access the collective knowledge of the SNT analyst community.
Objectives
We will build a code library for SNT analysis to::
To help achieve this goal, Northwestern University’s malaria modeling team is offering an 18-week intensive in-person training program in applied malaria modeling for Sub-Saharan African mathematical modeling faculty - with or without public health backgrounds - tailored to their experience and needs.
Training is focused on applied modeling with EMOD, an open-source malaria transmission modeling software that is currently used to support malaria programs. Participants will design their own research question and focal training project using EMOD that will form the basis of a Specific Aims page (grant proposal summary page) to be developed during the program.