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 \n\n:two: What is the optimal sequencing of malaria interventions in order to maximize impact in resource constrained settings? \n\n   - What are the key determinants of the cost-effectiveness rankings? \n\n   - How do the uncertainties/assumptions on costs and effectiveness of malaria interventions play a role in this ranking? \n\n   - Is this ranking consistent across regions or countries with similar epidemiological profiles? \n\n   - What is the equity implication of alternative scale up scenarios? \n\n\n## Directory\n\n```\n.\n├── 01_data                                # Data files\n├── 02_code                                # R code file\n|   ├── HPC_draws                          # HPC runs for parameter draws\n|   |   ├── A_parameter_draws.R              # List parameters for each draw\n|   |   ├── B_PfPR_EIR_match.R               # Match PfPR to EIR\n|   |   ├── C_HPC_runs.R                     # HPC runs\n|   |   ├── function_draws.R                 # Functions for HPC\n|   |   ├── Processing                     # Data processing\n|   |   |   ├── cost_effectiveness.R         # Process CE\n|   |   |   ├── HPC_processing.R             # Helper-function HPC output\n|   |   |   ├── add_costs.R                  # Helper-function add costs\n|   |   |   ├── deaths_dalys.R               # Helper-function calc deaths \u0026 DALYs\n|   |   |   ├── netz_dist.R                  # Helper-function calc nets distributed\n|   |   |   ├── outcome_averted.R            # Helper-function calc DALYs and cases averted\n|   |   ├── Processing_casestudy           # Data processing - case study\n|   |   |   ├── cost_effectiveness.R         # Process CE\n|   |   |   ├── HPC_processing.R             # Helper-function HPC output\n|   ├── Figures                            # Re-create paper figures\n|   ├── MISC_calibrate_test.R              # Test calibration output function\n|   ├── MISC_ITN_usage_distribution.R      # Determine model input ITN coverage values to reach population usages\n|   ├── MISC_SMCdosetest.R                 # Determine which SMC profiles should be used\n|   ├── MISC_warmup_time_test.R            # Determine the warmup time needed\n├── 03_output                              # PDF figures and .rds files\n├── GF_RTSS_CE.Rproj                       # R.Studio project file\n└── README.md                              # Project overview\n\n```\n\n## R package versions\n\nmalariasimulation: 1.3.0\n\nmalariaequilibrium: 1.0.1\n\nindividual: 0.1.9\n\ncali: https://github.com/mrc-ide/cali/tree/adbc370450716a2231347094c68cf7b31419896c\n\nnetz: https://github.com/mrc-ide/netz/tree/0ce236c34f36cb4d533260f88563dc4e09d3ba65\n\ntreasure: https://github.com/mrc-ide/treasure/tree/36a5498f4a3bea07e4a6cb4390e955dac359409a\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmrc-ide%2Frtss-ce","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmrc-ide%2Frtss-ce","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmrc-ide%2Frtss-ce/lists"}