Notes
For each indicator, this column groups into:
Original value: The raw value of the indicator, before any modeling has occuered. For instance, for the indicator Drought rainfall, the Original value will show the rainfall in mm
Indicator value: The value of the indicator after the modeling/transformation has occurred. For instance for the indicator Drought rainfall, the Indicator value could be the Standard Precipitation Index of the total rainfall in mm. The methods that were used for each indicators can be found in the model details datafile.
Alert level: The alert level corresponding to the given Indicator value. A 0 corresponds to Typical, a 1 corresponds to Heightened and a 2 corresponds to Critical. The thresholds for each indicator can be found in the model details datafile.
For the indicator GLM, which is the combined model indicator, an additional option for grouping is added; Population living in areas at risk, which is an indication of the people living in that specific admin 2 area at the certain date that are at risk of experiencing an escalation in food insecurity.
For the indicator Target, which is the outcome all indicators are measured against, four different groupings are presented:
Original IPC phase: Categorical integer between 1 and 5, where a higher number indicates a level level of food insecurity, following the IPC phase format.
IPC phase excluding HA: The IPC phase adjusted for Humanitarian Assistance (HA). When an area received HA, the idea is that this lowered the IPC phase by 1. For example, an area in IPC phase 3, which received HA, will have an IPC phase excluding HA of 4.
Binarized target indicator: The model uses a binary target indicator, where a 1 corresponds to admin 2/date combinations where the IPC phase is above a set threshold (IPC level 3+ or IPC level 4+ depending on the country). A 0 corresponds to all IPC phase clasifications below this cutoff.
Possible escalations: This study focusses on escalations in food insecurity, which means an increase in IPC phase from below the cutoff to above the cutoff. To train the model on these escalations, we define admin 2/date combinations where the previous recorded IPC phase was below the IPC phase cutoff as a possible escalations.
