Demandre, Obleo2024-03-162024-03-162024https://hdl.handle.net/1828/16153In this project, I analyze the relationship between surrounding vegetation (greenspace) levels and depression symptoms for Rohingya refugees living in the Kutupalong refugee camp in Cox’s Bazar, Bangladesh. To do this, I use survey data from the Cox’s Bazar Panel Survey (CBPS), which includes socioeconomic, demographic, housing, health, trauma, and mental health data from a representative sample of over 2000 Rohingya refugee households, which includes the Patient Health Questionnaire-9 (PHQ-9) – a popular depression questionnaire. Additionally, I use survey location data to create spatial statistics unique to each respondent’s local characteristics, such as Normalized Difference Vegetation Index (NDVI) scores, surrounding settlement density, and distance to amenities. I categorize PHQ-9 by risk category and analyze my results using ordered logistic regression. For privacy reasons, I was not given direct access to the true survey points; instead, I wrote a script for the study team to run that generated the statistics associated with the true survey points. I have not yet received the true spatial statistics, so my current analysis uses statistics associated with random points within Kutupalong. However, my preliminary analysis of the CBPS data indicates similar relationships between determinants of depression and depression risk levels as seen in previous research.eneconomicsrefugeesGISdisplacementmental healthPoster