Principles of Infectious Disease Epidemiology

A set of flashcards covering key terms and definitions from the Principles of Infectious Disease Epidemiology lecture notes.

Human Ecology

The study of the relationships between humans and their environment, examining how behavior, culture, and biology interact with the environment to affect health.

Disease Process

A series of events from the initial exposure to a pathogen or risk factor to the development of symptoms and potentially resolution of the disease.

Infectious Disease Processes

Involve the transmission of pathogens, such as bacteria and viruses, from one person to another.

Chronic Disease Processes

Involve the gradual development of diseases, such as heart disease and diabetes, over time.

Environmental Disease Processes

Involve exposure to environmental risk factors that lead to diseases like respiratory diseases.

Primary Prevention

Measures to prevent disease before it occurs, such as vaccination.

Secondary Prevention

Measures that involve detecting and treating disease early, like screening.

Tertiary Prevention

Measures that manage and treat disease after it has occurred, such as rehabilitation.

Public Health Laboratories

Laboratories that provide testing, investigation, and surveillance to protect and promote community health.

Microbiology

The study of microorganisms, including bacteria, viruses, and parasites.

Antimicrobial Resistance

The growing threat of organisms that are resistant to antimicrobial drugs.

Immunization

The process to develop immunity to specific diseases through the administration of vaccines.

Active Immunization

Introducing a vaccine to stimulate the body’s immune system to produce antibodies.

Vaccination Schedule

A recommended timeline for administering vaccines to ensure effective immunization.

Informed Consent

Ensuring participants understand the purpose, risks, and benefits of data collection.

Beneficence

Ensuring that the benefits of data collection and use outweigh the risks.

Justice

Promoting fairness, equity, and social justice in data collection and use.