Fall 2022 Course Offerings: BSHES 520, BSHES 579

Fall 2022 Course Offerings: BSHES 520, BSHES 579

In the Fall 2022 semester, the following courses will be open to all students. If you have any interest in taking these courses, please contact Rachel Corbett at rachel [dot] whitney [dot] corbett [at] emory [dot] edu

BSHES 520 – Theory Driven Research and Practice

    • Section 3 – Friday 1pm-3:50pm 
    • Introduces an array of conceptual theories that posit different patterns of association among a variety of behavioral, psychological, and social antecedents that together can influence health outcomes. The theories covered in this course align with aggregating levels of influence at the individual, interpersonal, organizational/community and macrosocietal levels. In-class discussion and assignments will enable the learner to understand the value of theory for ethical practice, research design, and intervention development, to gain skills in applying theories for program/intervention design, implementation and evaluation. 
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  • BSHES 579 – Applied History of Public Health
    • Section 4 – Friday 10am-11:50am 
    • In this course, we critically examine the history of public health to gain perspective on current health problems. Students analyze the history of public health institutions, concepts, and practices in the contexts of the history of the social determinants of health, culture, and changing ecologies of health and disease. This course also uses history to analyze health inequities with the goal of promoting health equity.


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Upcoming Events

  • Biostatistics and Bioinformatics Seminar February 6, 2025 at 12:00 pm – 1:00 pm Seminar Series; HTTPS://ZOOM.US/MY/EMILYNPETERSON Online Location: HTTPS://ZOOM.US/MY/EMILYNPETERSONEvent Type: Seminar SeriesSeries: Biostatistics and Bioinformatics SeminarSpeaker: Håvard Rue, PhDContact Name: Mercedes LewisContact Email: mercedes.christina.lewis@emory.eduRoom Location: CNR_1000 Richard M. Levinson PhD ClassroomHåvard Rue, PhD, Distinguished Professor,King Abdullah University of Science and Technology (KAUST)Seminar Title: Cross-validation for Dependent Data

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