Methods to describe the distribution of disease in a population.
Introduction to Epidemiology: An overview of the basic concepts of epidemiology, including descriptive and analytical epidemiology.
Measures of Disease Frequency: Understanding the different measures used to describe the occurrence or frequency of a disease in a population, including prevalence and incidence.
Data Sources: An overview of the various sources of data used in epidemiology, including vital records, surveillance systems, and surveys.
Study Design: A review of the major research designs used in epidemiology, including cross-sectional, case-control, cohort, and randomized controlled trials.
Disease Surveillance: An exploration of the methods used to monitor and track the occurrence of diseases in populations.
Sampling Methods: Understanding the different types of sampling techniques used in epidemiological studies, including probability and non-probability sampling.
Bias and Confounding: An overview of the sources of bias and confounding in epidemiological studies and how to control for them.
Descriptive Statistics: A review of the basic statistical methods used to describe and summarize data in epidemiology.
Distribution and Spread of Disease: Understanding the geographic and temporal patterns of disease occurrence in populations.
Standardization: A review of the methods used to adjust for differences in age, sex, and other factors when comparing rates of disease in different populations.
Demographic Measures: Understanding the demographic characteristics of a population, including age, gender, race, and ethnicity.
Social Determinants of Health: Exploring the social and economic factors that influence health outcomes in populations.
Environmental Epidemiology: Understanding the relationship between environmental exposures and disease outcomes in populations.
Infectious Disease Epidemiology: An introduction to the study of infectious diseases and their transmission in populations.
Chronic Disease Epidemiology: Exploring the causes and risk factors for chronic diseases such as diabetes, cardiovascular disease, and cancer.
Public Health Surveillance: Understanding the role of public health surveillance in detecting and responding to disease outbreaks and other public health threats.
Outbreak Investigation: An overview of the methods used to investigate outbreaks of infectious diseases in populations.
Ethics in Epidemiology: Understanding the ethical considerations involved in conducting epidemiological research, including issues related to informed consent, confidentiality, and privacy.
Communicating Epidemiologic Findings: Learning how to communicate epidemiological findings to different audiences, including policymakers, healthcare professionals, and the general public.
Future Directions in Epidemiology: An exploration of emerging trends and innovations in epidemiological research, including the use of big data, genomics, and precision medicine.
Person-based descriptive epidemiology: This type of epidemiology is concerned with the distribution of health outcomes within a population, based on demographic and other individual characteristics such as age, sex, race/ethnicity, occupation, income, education, and lifestyle.
Place-based descriptive epidemiology: This type of epidemiology is concerned with the distribution of health outcomes within a geographical location, such as a city, county, state, country or region, and the environmental and other contextual factors that may contribute to those outcomes.
Time-based descriptive epidemiology: This type of epidemiology is concerned with trends and temporal patterns of health outcomes, and how these patterns change over time.
Cross-sectional descriptive epidemiology: This type of epidemiology involves collecting data at a single point in time, and is used to describe the prevalence of a health condition or risk factor within a population.
Longitudinal descriptive epidemiology: This type of epidemiology involves collecting data at multiple points in time, and is used to describe the incidence (new cases) and prevalence (existing cases) of a health condition or risk factor within a population, as well as changes in these measures over time.
Case series: A case series is a report or series of reports summarizing the clinical and epidemiologic features of a small number of cases of a disease or other health condition.
Ecologic studies: Ecologic studies examine geographic or temporal variation in exposure or disease rates in groups, based on some common factor, such as geography or social factors.
Syndromic surveillance: Syndromic surveillance monitors real-time or near-real-time health data to detect outbreaks, track trends, and identify unusual patterns of illness or injury.
Sentinel surveillance: Sentinel surveillance involves monitoring a subset of the population, such as healthcare providers or hospitals, to identify early warning signs of outbreaks or emerging health threats.
Cluster investigations: Cluster investigations involve the identification and investigation of groups of cases, often located in a specific geographic area or time period, to identify potential causes of disease outbreaks or other unusual patterns of health outcomes.