This note covers Epidemiology Definition, functions, and
characteristics, An evolving historical perspective, Studying populations basic
demography, The Phenomenon of Disease, Measuring Disease and Exposure,
Standardization of rates and ratios, Relating risk factors, Analytic study
designs, Causal inference, Sources of error, Multicausality Confounding,
Multicausality Analysis approaches, Data analysis and interpretation, Practical
aspects of epidemiologic research, Data management and data analysis and
Epidemiology and public health.
Author(s): Department of Epidemiology School
of Public Health
This note explains the following topics: goals, History, Basic concepts, Dynamics and
analysis, Inference problems, Control and optimization, Surveillance and
forecasting.
Author(s): Madhav V. Marathe, Naren Ramakrishnan and Anil Kumar
Vullikanti
This note
covers the following topics: epidemiology definition, functions and characteristics, An evolving
historical perspective, Studying populations, The phenomenon of disease,
Measuring disease and exposure, Standardization of rates and ratios, Relating
risk factors, Analytical study designs, Sources of error, Multicausality, Data
analysis and interpretation, Practical aspects of epidemiologic research, Data
management and data analysis, Epidemiology and public health.
Author(s): University of North Carolina at Chapel Hill
This note
explains introduction to epidemiology, Frequency measures used in epidemiology,
Measures of central location and dispersion, Organizing epidemiologic data,
Public health surveillance and investigating an outbreak.
Author(s): US Department of Health and Human Services
This
note describes introduction to epidemiology, The infectious disease process, Public
health surveillance, Statistical measures, Displaying and interpreting
epidemiologic variables, Interviewing and preparing an outbreak investigation
report.
This note covers Epidemiology Definition, functions, and
characteristics, An evolving historical perspective, Studying populations basic
demography, The Phenomenon of Disease, Measuring Disease and Exposure,
Standardization of rates and ratios, Relating risk factors, Analytic study
designs, Causal inference, Sources of error, Multicausality Confounding,
Multicausality Analysis approaches, Data analysis and interpretation, Practical
aspects of epidemiologic research, Data management and data analysis and
Epidemiology and public health.
Author(s): Department of Epidemiology School
of Public Health
This note covers the following topics: Uses of Epidemiology, Two Broad
Types of Epidemiology, The Epidemiologic Triangle, Epidemiologic Activities ,
Measuring Disease Occurrence, Direct Standardization of Measures of Disease
Occurrence, Indirect standardization with examples in Stata, Measures of effect
I Risk Difference and Attributable Fraction with examples in Stata.