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Department of Archaeology

 
Read more at: iMapNut: Machine Learning to Map and Address Causal Factors of Child Malnutrition in Low- and- Middle- Income Countries

iMapNut: Machine Learning to Map and Address Causal Factors of Child Malnutrition in Low- and- Middle- Income Countries

This project aims to improve the poor integration of localized data linking various WASH dimensions (infrastructure, access, practices) and children nutritional status at the population level as well as the poor involvement of policy makers concerned with WASH in local and country level nutritional programs. Our network aims include:
1.

Read more at: Life history theory in maternal and child health: formative research in South Africa

Life history theory in maternal and child health: formative research in South Africa

Children experiencing food insecurity, repeated infections and psychosocial stress have compromised development, and increased risk for non-communicable diseases in adulthood. While public health interventions have had limited benefits, addressing this is critical, both from a public health perspective and for the Sustainable Developmental Goals. We therefore seek to test the proposition that a life history theory perspective will inform interventions in both maternal and child health, thereby enhancing their effectiveness.


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