CHAPTER 6 Epidemiology
Disease Causality
Germ Theory
Causal
Deterministic Model
Noncausal
Spontaneus Generation
Miasma
Analytic Epidemiology
Contextualize your topic with a subtitle
Causal
A causal relationship is where one thing influences another. An example would be the sun causing skin cancer.
Disease Causality
the identification and understanding of what factors cause the disease. Such as behavorial, biological, and enviroment.
Germ Theory
The germ theory is the concept that bacteria, fungi, and viruses are the cause of many diseases. This finding led to infection control, vaccines, and antibiotics. This had a huge impact on public health and medicine.
Noncausal
A noncausal relationship is where two variables are connected but not directly linked to one another. An example would be the number of firefighters and the fire damage. Large fires cause more damage, and they need more firefighters, but the firefighters do not cause the damage
Deterministic Model
A deterministic model is the assumption that during an epidemic it is entirely based on parameters such as population size, transmission rate, and recovery rate.
Miasma
Miasma is a historical theory that bad air is what causes diseases. People believed that swamps and waste is what caused cholera.
Analytic Epidemiology
Analytic epidemiology is the investigation of how and why disease patterns occur. An example would be a cohort study of smokers and nonsmokers and the link of lung cancer.
Spontaneous Generation
Spontaneous generation was a theory a long time ago, where people thought that living organisms could arise from nonliving matter. People thought rotting meat would spontaneously birth maggots.
CHAPTER 6 Epidemiology
Michael Snead
Created on October 6, 2025
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Transcript
CHAPTER 6 Epidemiology
Disease Causality
Germ Theory
Causal
Deterministic Model
Noncausal
Spontaneus Generation
Miasma
Analytic Epidemiology
Contextualize your topic with a subtitle
Causal
A causal relationship is where one thing influences another. An example would be the sun causing skin cancer.
Disease Causality
the identification and understanding of what factors cause the disease. Such as behavorial, biological, and enviroment.
Germ Theory
The germ theory is the concept that bacteria, fungi, and viruses are the cause of many diseases. This finding led to infection control, vaccines, and antibiotics. This had a huge impact on public health and medicine.
Noncausal
A noncausal relationship is where two variables are connected but not directly linked to one another. An example would be the number of firefighters and the fire damage. Large fires cause more damage, and they need more firefighters, but the firefighters do not cause the damage
Deterministic Model
A deterministic model is the assumption that during an epidemic it is entirely based on parameters such as population size, transmission rate, and recovery rate.
Miasma
Miasma is a historical theory that bad air is what causes diseases. People believed that swamps and waste is what caused cholera.
Analytic Epidemiology
Analytic epidemiology is the investigation of how and why disease patterns occur. An example would be a cohort study of smokers and nonsmokers and the link of lung cancer.
Spontaneous Generation
Spontaneous generation was a theory a long time ago, where people thought that living organisms could arise from nonliving matter. People thought rotting meat would spontaneously birth maggots.