INTRO TO EPIDEMIOLOGY Flashcards
upon or leading the people
Study the occurrences and distribution of diseases
Distribution of determinants of health state or events in specified population and the application of this study to controls the health problems.
Epidemiology
Field of science given the relationship of various factors which determine the frequencies and distribution of an infectious process
Studies the patterns of disease occurrence in human populations and the factors that influence this pattern. The term obviously is related to epidemic
Epidemiology
Application of this study to the prevention or control of the disease or health problems
Epidemiology
Derived from the Greek words “epi” “demos” and “logos”
Epi: upon
Demos: people
Logos: study
Frequency vs Pattern:
Number of health events
Relative to population size
Frequency
Frequency vs Pattern:
Person (who)
Place (where)
Time (when)
Pattern
patterns of disease. pertains to the distribution of health-related states. This is under the descriptive statistics. We will study the frequency.
Epidemiology: Distribution
Ex: There are more deaths in males than on
females in an older age group.
The incidence of COVID-19 infection is
increasing in 15-24 age group in the
Philippines.
Cause of factors that bring about a change in health. Why? How? Biologic Chemical Other factors
Epidemiology: Determinants The focus is the risk factors. This falls under analytic. Example: People with family history of heart disease are more likely to developed heart disease than those without. Extreme sun exposure is a risk factor for skin cancer. Epidemiology
Dealing with population groups rather
than individuals as patients.
Epidemiology: Population
Clinical vs Epidemiological:
Signs and symptoms
Treatment
Clinical
Clinical vs Epidemiological:
Number of people affected
• Age groups affected
• Potential for spread
Epidemiological
Odd Man Out:
FUNCTIONS/SCOPE OF EPIDEMIOLOGY Describe health status Explain causal factors Predict occurrence of disease Approximate population distribution Control the spread of disease
Approximate population distribution
study of what the factors are, whether
risk factors or preventive factors.
Etiology
A if only the 1st statement is correct B if only the 2nd statement is correct C if both of the statements are correct D if neither of the statements is correct AIMS OF EPIDEMIOLOGY 1. To construct or complete the natural history of a disease so that adequate measures for diagnosis, treatment, and prevention will be made. 2. To study immediate and special problem in the field of health.
C
A if only the 1st statement is correct B if only the 2nd statement is correct C if both of the statements are correct D if neither of the statements is correct AIMS OF EPIDEMIOLOGY 1. To evaluate the effectiveness of therapy, preventive measures and program. 2. To give approximate about a parameter in a given population
A
EPIDEMIOLOGY: DEFINITION OF KEY TERMS: Frequency (including rates & risks) & pattern of health events (person, place, time).
Distribution
EPIDEMIOLOGY: DEFINITION OF KEY TERMS: factors or events that are capable of bringing about a change in health.
Determinants
EPIDEMIOLOGY: DEFINITION OF KEY TERMS: Epidemiology examines health events among population groups rather than individuals.
Human Population
EPIDEMIOLOGY: DEFINITION OF KEY TERMS: infections, chronic diseases & physiological events & various states of health such as disability, injury, mortality.
Health related states
EPIDEMIOLOGY: DEFINITION OF KEY
TERMS:
immunization, hospital attendance, bed occupancy.
Health related events
EPIDEMIOLOGY: DEFINITION OF KEY
TERMS:
basis for directing interventions.
Application
EPIDEMIOLOGY: DEFINITION OF KEY
TERMS:
an increase in the frequency (incidence) of a disease above the usual and expected rate, which is called endemic rate, thus epidemiology count cases of a disease, and when they detect the sign of epidemic, they ask who, when and where questions.
Epidemic
EPIDEMIOLOGY: DEFINITION OF KEY TERMS: surveillance made by the government before many people start dying
Notifiable disease
A if only the 1st statement is correct
B if only the 2nd statement is correct
C if both of the statements are correct
D if neither of the statements is correct
USES OF EPIDEMIOLOGY
1. Study the history of the health population and the rise and fall of diseases and changes in their
character.
2. Diagnose the health of individual patient only.
A
A if only the 1st statement is correct
B if only the 2nd statement is correct
C if both of the statements are correct
D if neither of the statements is correct
USES OF EPIDEMIOLOGY
1. Study the work of health services without even a view of improving them.
2. Estimate the risk of diseases, accidents, detects and the changes avoiding them
B
A if only the 1st statement is correct
B if only the 2nd statement is correct
C if both of the statements are correct
D if neither of the statements is correct
USES OF EPIDEMIOLOGY
1. Complete the clinical feature of acute disease and not describe their natural history.
2. Not focused in the search for cause of health and
disease.
D
A if only the 1st statement is correct
B if only the 2nd statement is correct
C if both of the statements are correct
D if neither of the statements is correct
Early explanations for disease: Ancient Greeks
- Wrath of Gods
- Evil Sprits
C
A if only the 1st statement is correct
B if only the 2nd statement is correct
C if both of the statements are correct
D if neither of the statements is correct
Early explanations for disease: Ancient Greeks
1. Religious Beliefs
2. Weather
C
A if only the 1st statement is correct
B if only the 2nd statement is correct
C if both of the statements are correct
D if neither of the statements is correct
Early explanations for disease: Ancient Greeks
1. “Bad Air” Theory (Miasmic theory)
2. The Great Cataclysm
A
Theory that says that Miasma (Bad Air) causes the disease, particularly fever. Thus, they build huge fires to purify the air.
“Bad Air” Theory (Miasmic theory)
He is considered as the
“Father of Medicine”, theorized the “Filth Theory”
Hippocrates (400 BC)
this theory associates the disease with physical environment. Changes in seasons, climate, temperature and overcrowding causes diseases. Diseases were due to poisonous substances and gases from the Earth.
“Filth Theory” Physical Environment as Factors influencing Disease. 1. Changing seasons 2. Hot and Cold Winds 3. Qualities of Water
Has written books and bills (Bills of Mortality in 1669). This bill contains his natural and political observations. He is the first one to perform descriptive statistics like the tabulated births and deaths, occurrences of census and patterns in mortality (organizing mortality data in a mortality table) which is referred as the Columbus of
statistics
John Graunt (1669)
During his time, they know that murder is
the number one cause of death. Later on,
he found out that it was infant mortality
created a warning system on
the Bubonic Plague (Yersinia pestis).
John Graunt (1669) Quantitative methods in describing vital population statistics. 1. Seasonal Variations 2. Infant Mortality 3. Excess male over female differences in mortality. 4. First to discover regularities in mortality
Considered as the
“Father of Handwashing”.
Pioneer of antiseptic procedures
He found out that medical students did not disinfect and follow antiseptic procedure every after patient
Ignaz Semmelweis (1840) Investigated why mortality rate from childbed fever was higher in the clinic for medical students than that for midwives
He is considered as the “Father of Modern Epidemiology”. Utilized methods that reflects modern field of epidemiology. Investigated the source of Cholera outbreak
John Snow (1849-1854) He performed the shoe leather epidemiology. He has direct door to door inquiry of the affected populations. He noted that districts with high cholera rates were serviced by two companies, which is the Lambeth and the Southwark and Vauxhall company
refuted the Miasmic theory (Bad
Air) for Cholera. Before, they know that
cholera was due to bad air
John Snow (1849-1854) Natural Experiment - naturally occurring circumstances in which groups of people have different levels of exposure to a factor causal in a way that is similar to an actual experiment