ishanaatkinson/decision_tool_app

The objective of the decision tool is to support policy-makers, programme managers and other decision makers across Sub-Saharan Africa to decide whether, where, when, how and at what cost to implement perennial malaria chemoprevention (PMC) in infants. # decision_tool_app The objective of the decision tool is to support policy-makers, programme managers and other decision makers across Sub-Saharan Africa to decide whether, where, when, how and at what cost to implement perennial malaria chemoprevention (PMC) in infants. Back-end: The app will incorporate the following in the back-end infrastructure - Agent based, age stratified dynamic P.falciparum transmission model - Effectiveness of PMC with sulfadoxine pyrimethamine - Effective coverage of co-delivered vaccinations - Genotype-specific protective efficacy - SP resistance maps - Implementation costs from our Economic Evaluation team - Cost savings from averted cases - Drivers of spatial variation in cost-effectiveness - Demography of each upper-administrative unit disaggregated by rural/urban areas - Other intervention strategies implemented (IRS, ITNs, treatment) - Site-specific seasonality fourier constants - Distribution channels for PMC-SP administration Front-end: - Cases averted - Deaths averted - % reduction in clinical and hospitalised cases - Cost savings - Incremental costs per disability-adjusted life year averted - Decision reccomendations (prioritisation economic analysis based on site-specific cost effectiveness thresholds) - Format: country maps, graphs, tables, auto-generated text