malutilschrisy

malutilschrisy bundles malaria-related utilities and data for Côte d'Ivoire, including Seasonal Malaria Chemoprevention (SMC) cost data and tools for comparing implementation scenarios

Installation

You can install the development version of malutilschrisy like so:

# install package
devtools::install_github("ChricenciaO/malutilschrisy")

SMC cost data

The package ships with smc_cost_clean, a district-by-year table of SMC operational and SPAQ costs for Côte d'Ivoire, 2025–2028.

Example

This is a basic example which shows you how to solve a common problem:

library(malutilschrisy)
head(smc_cost_clean[, c("adm2", "year", "cost_per_cycle",
                        "pop_u5", "total_smc_cost")])

Comparing 4-vs-5 cycle scenarios

smc_scenario_cost() compares the cost of running a fifth SMC cycle in selected districts against the business-as-usual case where every district runs four cycles. It returns the total cost per year and the additional cost over baseline. What is special about using README.Rmd instead of just README.md? You can include R chunks like so:

# districts running a 5th cycle in 2026
five_2026 <- c("FERKESSEDOUGOU", "MADINANI",
               "SINEMATIALI", "KANI", "KORO")

smc_scenario_cost(five_cycle_districts = five_2026)

Districts not listed in five_cycle_districts stay at four cycles, so with the default (none listed) every year's additional_cost is zero.

In that case, don’t forget to commit and push the resulting figure files, so they display on GitHub and CRAN.