printer friendly pageHUMBIO 154B: Principles of Epidemiology
Epidemiology is the study of the distribution and determinants of health and disease in human populations. In this course, students will learn about design, measures of disease occurrence and measures of association between exposures - be they environmental, behavioral or genetic - and health outcomes of interest. Students will also learn about how error, confounding and bias can impact epidemiological results. The course draws on both classic and contemporary research articles, which students will learn to critically appraise. Through lectures, problem sets, written responses to original articles and in-class discussions, students will gain a solid foundation in epidemiology.
HUMBIO 154 courses can be taken separately or as a series. Upper division course with preference given to upperclassmen. Prerequisites: Human Biology Core or Biology Foundations or consent of instructor.
Terms: Aut
| Units: 3
| UG Reqs: WAY-AQR
Instructors:
Kurina, L. (PI)
;
Porter, S. (TA)
HUMBIO 154C: Cancer Epidemiology
Clinical epidemiological methods relevant to human research in cancer will be the focus. The concepts of risk; case control, cohort, and cross-sectional studies; clinical trials; bias; confounding; interaction; screening; and causal inference will be introduced and applied. Social, political, economic, and ethical controversies surrounding cancer screening, prevention, and research will be considered.
HUMBIO 154 courses can be taken separately or as a series. Enrollment limited to students with sophomore academic standing or above. Prerequisites: Human Biology core or Biology Foundations or equivalent, or instructor consent.
Terms: Win
| Units: 4
| UG Reqs: WAY-AQR
Instructors:
Fisher, P. (PI)
;
Walsh, S. (TA)
HUMBIO 154D: Models for Understanding and Controlling Global Infectious Diseases (HRP 204)
(HUMBIO students must enroll in
HUMBIO 154D. Med/Graduate students must enroll in
HRP 204.) This course introduces students to the dynamics of infectious diseases of global health importance, focusing on the use of mathematical models to characterize their transmission in populations. Relevant case examples of pathogens with differing natural history and transmission routes include tuberculosis, HIV, malaria, typhoid, and cholera, as well emerging infectious diseases such as Ebola and the 2019 novel coronavirus. Lectures will emphasize the theoretical basis underlying infectious disease dynamics and link them to in-class workshops and problem sets that will emphasize public health applications and will provide students with hands-on experience in creating and coding models. Students will learn the mathematical underpinnings of key topics in infectious disease transmission including herd immunity, the basic reproductive number, vaccine effects, social contact structure, host heterogen
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(HUMBIO students must enroll in
HUMBIO 154D. Med/Graduate students must enroll in
HRP 204.) This course introduces students to the dynamics of infectious diseases of global health importance, focusing on the use of mathematical models to characterize their transmission in populations. Relevant case examples of pathogens with differing natural history and transmission routes include tuberculosis, HIV, malaria, typhoid, and cholera, as well emerging infectious diseases such as Ebola and the 2019 novel coronavirus. Lectures will emphasize the theoretical basis underlying infectious disease dynamics and link them to in-class workshops and problem sets that will emphasize public health applications and will provide students with hands-on experience in creating and coding models. Students will learn the mathematical underpinnings of key topics in infectious disease transmission including herd immunity, the basic reproductive number, vaccine effects, social contact structure, host heterogeneities, and pathogen fitness. The course will teach students how to approach new questions in infectious disease transmission, from model selection, tradeoffs in model complexity or parsimony, parameterization, sensitivity and uncertainty analyses. Students will practice building models, evaluating the influence of model parameters, making predictions about disease trajectories, and projecting the impact of public health interventions. Prerequisites:
HUMBIO 88 or 89 or
STATS 141 or
BIOSCI 141
Last offered: Spring 2020
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