Estimates of Nutrient Availability From the Integrated Household Surveys in Malawi
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This is a value-added secondary dataset, derived from the third (2010/11) and fourth (2016/17) Malawi Integrated Household Survey (MIHS) datasets compiled by the National Statistical Office of Malawi with technical assistance from the World Bank. The dataset combines nutrient composition and retention data with cleaned and improved dietary recall data included in the MIHS survey. This information can be used for various other analyses in which dietary intake or nutrients from specific foods or food groups are of interest' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["AFRICA","AFRICA SOUTH OF SAHARA","food consumption","households","human nutrition","MALAWI","nutrient deficiencies","nutrition","SOUTHERN AFRICA"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This is a value-added secondary dataset, derived from the third (2010/11) and fourth (2016/17) Malawi Integrated Household Survey (MIHS) datasets compiled by the National Statistical Office of Malawi with technical assistance from the World Bank. The dataset combines nutrient composition and retention data with cleaned and improved dietary recall data included in the MIHS survey. This information can be used for various other analyses in which dietary intake or nutrients from specific foods or food groups are of interest' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This is a value-added secondary dataset, derived from the third (2010/11) and fourth (2016/17) Malawi Integrated Household Survey (MIHS) datasets compiled by the National Statistical Office of Malawi with technical assistance from the World Bank. The dataset combines nutrient composition and retention data with cleaned and improved dietary recall data included in the MIHS survey. This information can be used for various other analyses in which dietary intake or nutrients from specific foods or food groups are of interest
AFRICA; AFRICA SOUTH OF SAHARA; food consumption; households; human nutrition; MALAWI; nutrient deficiencies; nutrition; SOUTHERN AFRICA