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Full-Text Articles in Social and Behavioral Sciences
Post-Resettlement Food Insecurity: Afghan Refugees And Challenges Of The New Environment, Zahra Goliaei, Mariaelena Gonzalez, Karina Diaz Rios, Mamata Pokhrel, Nancy J Burke
Post-Resettlement Food Insecurity: Afghan Refugees And Challenges Of The New Environment, Zahra Goliaei, Mariaelena Gonzalez, Karina Diaz Rios, Mamata Pokhrel, Nancy J Burke
Faculty Publications & Research of the TUC Public Health Program
BACKGROUND: Lack of access to adequate, safe, and nutritious food is a major concern for the Afghan population due to ongoing war and humanitarian crises. Recently resettled Afghan refugees in the US continue to face challenges securing adequate, nutritious food resources in new environments. This study examined Afghan refugees' food access and insecurity in the San Joaquin Valley, California.
METHODS: Semi-structured, in-depth interviews were conducted to collect the perspectives and experiences of key informants and newly arrived Afghan refugees.
RESULTS: This study highlights environmental and structural factors (availability and accessibility of grocery stores; availability of religious-appropriate items in the stores; …
A Visual Interactive Analytic Tool For Filtering And Summarizing Large Health Data Sets Coded With Hierarchical Terminologies (Viads)., Xia Jing, Matthew Emerson, David Masters, Matthew Brooks, Jacob Buskirk, Nasseef Abukamail, Chang Liu, James J. Cimino, Jay H. Shubrook, Sonsoles De Lacalle, Yuchun Zhou, Vimla L. Patel
A Visual Interactive Analytic Tool For Filtering And Summarizing Large Health Data Sets Coded With Hierarchical Terminologies (Viads)., Xia Jing, Matthew Emerson, David Masters, Matthew Brooks, Jacob Buskirk, Nasseef Abukamail, Chang Liu, James J. Cimino, Jay H. Shubrook, Sonsoles De Lacalle, Yuchun Zhou, Vimla L. Patel
Faculty Publications & Research of the TUC College of Osteopathic Medicine
BACKGROUND: Vast volumes of data, coded through hierarchical terminologies (e.g., International Classification of Diseases, Tenth Revision-Clinical Modification [ICD10-CM], Medical Subject Headings [MeSH]), are generated routinely in electronic health record systems and medical literature databases. Although graphic representations can help to augment human understanding of such data sets, a graph with hundreds or thousands of nodes challenges human comprehension. To improve comprehension, new tools are needed to extract the overviews of such data sets. We aim to develop a visual interactive analytic tool for filtering and summarizing large health data sets coded with hierarchical terminologies (VIADS) as an online, and publicly …