Several of our potential research topics entail analyses of the recently completed Food and Agricultural Approaches to Reducing Malnutrition (FAARM) trial in rural Bangladesh, including:
Household/Environmental determinants of intestinal inflammation in children
Examine underlying determinants (e.g. household characteristics, household environment, sanitation and hygiene facilities, animal husbandry) on intestinal inflammatory markers in young children of the FHEED study.
Required skills: Basic knowledge of epidemiology and statistics, and Stata programming skills or willingness to learn these.
Household/Environmental determinants of enteropathogen infection in FHEED cohort children
Examine underlying determinants (e.g. household characteristics, household environment, sanitation and hygiene facilities, animal husbandry) on enteropathogen infections in children of the FHEED cohort.
Required skills: Basic knowledge of epidemiology and statistics, and Stata programming skills or willingness to learn these.
Quantifying program uptake in the FAARM trial
Quantify uptake of the homestead food production intervention through analysis of program monitoring datasets including attendance, participation, and increases in knowledge and early adoption of practices.
Required skills: Basic knowledge of statistics, previous experience in data management and Stata programming skills or willingness to learn these.
Description of animal ownership patterns in the FAARM population and estimation of impact and trade-offs
Describe the patterns of animal husbandry and identify impacts of the FAARM intervention. As FAARM directly promoted poultry management, this project would include examining if other types of animal husbandry were reduced to account for these activities.
Required skills: Basic knowledge of epidemiology and statistics, and Stata programming skills or willingness to learn these.
Impact of homestead food production on household wealth and income in the FAARM trial
Estimate the impact the homestead food production intervention had on consumption expenditure and asset accumulation in the FAARM trial. The resulting publication will not only look at aggregate gains but also on how income was spent and what assets were acquired.
Required skills: Basic knowledge of statistics, previous experience in data management and Stata programming skills or willingness to learn these.
