An aggregation of cases over a particular period of time.
3
New cards
\
4
New cards
Morbidity
The rate of incidence of a disease.
5
New cards
Bias
Surveillance is an example of this.
6
New cards
Agent
a person who acts or does business for another
7
New cards
Incubation period
The time that lapses between infection and the first appearances of the symptoms of the disease.
8
New cards
\
9
New cards
\
10
New cards
Mortality
The measure of the frequency of death.
11
New cards
Virulence
Severity of disease in a host.
12
New cards
Epidemiology
The study of patterns, causes, effects, and disease conditions in a population.
13
New cards
\
14
New cards
Infectivity
The capacity to cause infection in a host.
15
New cards
Parasite
An organism that depends on another organism.
16
New cards
\
17
New cards
Risk
The probability that one will become infected by an illness or injury within a specific period of time.
18
New cards
Pathogenicity
Capacity of a host to cause disease.
19
New cards
Surveillance
The systematic collection, analysis, and interpretation of data.
20
New cards
\
21
New cards
Pandemic
Occurrence of a phenomenon over several countries and geographic locale with a large population affected.
22
New cards
\
23
New cards
\
24
New cards
Prevalence
Proportion of the host population infected at a given time.
25
New cards
\
26
New cards
Pathogenicity
Capacity to cause disease in a host.
27
New cards
Incidence
The rate at which new cases of infection arise in a population.
28
New cards
\
29
New cards
Outbreak
More cases of a particular disease than expected in a given area, at a given time.
30
New cards
\
31
New cards
Zoonosis
An infectious disease that is transmissible from animals to humans.
32
New cards
Fomite
A hairbrush carrying lice would be an example of this.
33
New cards
\
34
New cards
Reservoir
Soil is an example of this.
35
New cards
Name the ten steps to an outbreak investigation.
\
1. Prepare for field work, 2. Establish the existence of an outbreak, 3. Verify the diagnosis, 4. Define and identify the cases, 5. Describe in terms of time, place and person, 6. Develop a hypothesis, 7. Evaluate the hypothesis, 8. Refine hypothesis, 9. Implement control and prevention measures, 10. Communicate findings
36
New cards
What are the three components of the epidemiological triad?
Environment, Host, Agent or Time, Person, Place
37
New cards
\
38
New cards
Biological -
bacteria, viruses
39
New cards
Nutritional -
\
40
New cards
\
\
41
New cards
\
\
42
New cards
Provide two examples of the following agents: (ANSWERS MAY VARY)
Biological -
Nutritional -
Chemical -
**Physical -**
Nutritional: lack of nutrition, excess nutrition (obesity)
Chemical: poison, alcohol
Physical: radiation, trauma
Biological: bacteria, viruses
43
New cards
\
44
New cards
\
45
New cards
Chemical -
46
New cards
Physical -
47
New cards
Epicurve
What do epidemiologists call a graph like the one below?
1. Point 2. Common continuous 3. Propagated
48
New cards
1. \
49
New cards
2. Common continuous
50
New cards
Name the three types of this graph that one can potentially visualize. Write them next to the graphs below.
agent, reservoir, portal of exit, mode of transmission, portal of entry, susceptible host.
54
New cards
\
55
New cards
\
56
New cards
\
57
New cards
\
58
New cards
•Tuberculosis: BACTERIAL
59
New cards
\
60
New cards
\
61
New cards
•Strongyloides: ==PARASITIC==
62
New cards
\
63
New cards
\
\
64
New cards
Understanding the biological underpinnings of diseases is important. Determine whether the following diseases are bacterial, viral, fungal, or parasitic in origin. Write them down
•Cholera:
•Chagas disease:
•Strongyloides:
•Genital Warts:
•Toxic Shock Syndrome:
•Ascaris:
•Gonorrhea:
•Aspergillus:
•Influenza:
•Cholera: BACTERIAL
•Chagas disease: PARASITIC
•Strongyloides: PARASITIC
•Genital Warts: VIRAL
•Toxic Shock Syndrome: BACTERIAL
•Ascaris: PARASITIC
•Gonorrhea: BACTERIAL
•Aspergillus: FUNGAL
•Influenza: VIRAL
65
New cards
origin next to each disease.
66
New cards
•Influenza:
67
New cards
•Aspergillus:
68
New cards
•Gonorrhea:
69
New cards
•Ascaris:
70
New cards
•Tuberculosis:
71
New cards
•Toxic Shock Syndrome:
72
New cards
•Genital Warts:
73
New cards
•Strongyloides:
74
New cards
•Chagas disease:
75
New cards
•Cholera:
76
New cards
In 2009, a community survey of people who went on the Zipper at the Syosset Carnival for blood pressure was conducted in which residents were asked how many times they had their blood pressure tested in the past year. The answers from the first 20 participants
77
New cards
are listed below. In 2014, they did the same thing.
Organize the data into a table of frequency distribution. Find the mean, median, and mode of the data set. You must set the columns for the distribution yourself.
81
New cards
a.) Systematic deviation of results or inferences
82
New cards
b.) Surveillance, Selection
83
New cards
c.) Widen the study base by contacting people at other
84
New cards
locations, including (but not limited to) hospitals,
85
New cards
preschools, elementary schools, and middle schools,
86
New cards
various businesses and workplaces, and senior homes.
An epidemiologist decides to investigate the effects of a severe heat wave that occurred at Chicago from July 10, 2011 to July 20, 2011, during which temperatures
87
New cards
often exceeded 40°C. To do this, he visits 10 public and private high schools located in Chicago and 20 others scattered around the state of Illinois. Each student fills out a survey asking them about their living conditions and experiences during those 10 days, any preexisting health conditions, and any changes in health during or following the heat wave.
88
New cards
a.) Define bias
89
New cards
b.) What is one type of bias identified in this study?
90
New cards
c.) How can this study be altered to change its bias?
91
New cards
Selection bias: occurs when study subjects are selected for the study as a result of a third unmeasured variable which is association with both the exposure and the
92
New cards
outcome.
Explain what study the epidemiologists are utilizing:
93
New cards
1. Epidemiologists identify a population that is exposed to a suspected carcinogen and a non-exposed population and track them to determine who develops leukemia.
94
New cards
Recall bias: In a case control study, patients do not remember exposures that they do not believe caused the disease as well as those they believe did cause it (cases) and they don't recall some exposures as clearly as cases (controls)
Explain what study the epidemiologists are utilizing: Switzerland is determine to have a higher breast cancer incidence and a higher consumption of dietary fat when compared with other countries.
95
New cards
Information bias: Occurs from systematic error in the assessment of a variable
Explain what study the epidemiologists are utilizing: Epidemiologists are interested in the possible relationship involving increased serum cholesterol level (exposure) to electrocardiographic (ECG) evidence of CHD (the disease). They survey a population; for each participant they determine the serum cholesterol level and perform an ECG subsequently for evidence of CHD.
96
New cards
True
Infectious disease are more likely to be distributed to others in a larger population: (2 pts.)
97
New cards
True or False
98
New cards
d. The exposed and non-exposed groups under study be as similar as possible with regard to possible confounding factors
In cohort studies of the role of a suspected factor in the etiology of a disease, it is essential that:
99
New cards
a. There be an equal number of persons in both study groups
100
New cards
b. At the beginning of the study, those with the disease and those without the disease have equal risks of having the factor