The Food Securiy module of ENA for
SMART allows the analysis of the food security of households in a
certain area, especially the likely impact of a shock (e.g. reduction
in food production caused by drought). It is based on the Household
Economy Approach which enables to see quantitativley which households
are most affected and thereby allowing to design better interventions
and to target them to the most vulnerable. It is therefore
complimentary to the other parts of ENA (Anthropometry and Mortality)
and a possibility to explain why the nutritional status is bad or the
mortality high and how this will probably develop in the future.
To see on how this works please click on this demofilm
It will take less than 5 minutes to show the principles of this
function. The version of ENA which contains this function is still in
development for the new version II (www.nutrisurvey.net/ena_delta
) and should therefore only be used for the Food Security part. For more details please open the manual
for this part of SMART.
It contains all the information which is necessary to do a food
The following pictures give a short
insight on how this function of ENA looks like:
This is the first sheet where besides some general information the wealth groups are defined
In the second sheet for each wealth group the different forms of
(crops, sale, employment,..) and assets for a reference year (one
without shock) can be entered. It should reflect the whole household
economy and gives already some valuable information on how much food is
self produced and how much has to be bought.
One of the functions in this sheet is to check the entered data for plausibility.
The next sheet is for the distribution of the various incomes to the
months of the reference year to see later which time of the
year is the most critical.
In the last sheet some additional information can be
entered (food cost in
reference year and year of crisis, information on the shock, food or
cash aid, sale of assets) which is the basis for the graph in the
lower part of the screen. This graph can be used to test
various shock scenarios and interventions and to see which time
will be the most critical.