As of recently, the use of muac-for-age z-scores is becoming increasingly common in the global public health nutrition community, namely SMART methodology and the IPC and users. The use is now going beyond for quality checks on MUAC data when age is available, but also for prevalence, although still rare to use it for decision making, except in extreme circumstances. In order to meet user needs, the package will have a function to compute acute malnutrition prevalence based on mfaz. It will follow the same rational as that used in wfhz, including PROBIT based estimates.
Completed. compute_mfaz_prevalence() has just been added to the package. It follows the same principle and definitions as that of compute_wfhz_prevalence(). It allows for survey weights to be used with it.
As of recently, the use of muac-for-age z-scores is becoming increasingly common in the global public health nutrition community, namely SMART methodology and the IPC and users. The use is now going beyond for quality checks on MUAC data when age is available, but also for prevalence, although still rare to use it for decision making, except in extreme circumstances. In order to meet user needs, the package will have a function to compute acute malnutrition prevalence based on mfaz. It will follow the same rational as that used in wfhz, including PROBIT based estimates.