disease and society

0.0(0)
Studied by 0 people
call kaiCall Kai
learnLearn
examPractice Test
spaced repetitionSpaced Repetition
heart puzzleMatch
flashcardsFlashcards
GameKnowt Play
Card Sorting

1/53

encourage image

There's no tags or description

Looks like no tags are added yet.

Last updated 4:00 AM on 10/13/26
Name
Mastery
Learn
Test
Matching
Spaced
Call with Kai
Chat

No analytics yet

Send a link to your students to track their progress

54 Terms

1
New cards

disease taxonomy

the study of how diseases are classified, in a way that ensures people are refering to the same disease

2
New cards

international classification of diseases ICD

provides standardized labels for diseases and conditions

3
New cards

how is icd organized

by bosy system with additional detain of disease and cause

4
New cards

where can icd codes be found

medical records and on death certificates

5
New cards

who maintains icd

who

6
New cards

uses of ICD

can track morbidity and mortality, surveillance data

7
New cards

what can surveillance data help with?

identify where prevalent, changes over time, and direct prevention and research resources

8
New cards

depending on trends oublic health agencies may

issue public health alerts, update clinical guidance, support hospitals, increase surveillance

9
New cards

medical coders

extract billable info and translate it into cofes for records and billing

10
New cards

classifying dieases by body system catagories

muscular, digestive, urinary, reproductive, circulatory, endocrince, lymphatic, respiratory, skeletal

11
New cards

etiology

classifying diseases by cause

12
New cards

classifying diseases by cause catagories

infectious diseases, genetic, enviornmental

13
New cards

infectious diseases

causes by infectious agents, bacteria fungi viruses, and parasites some involve more than one contributing cause

14
New cards

genetic diseases

causes by change in genetic material that can lead to faulty protiens of protien function

15
New cards

enviornmental

result of too much of a harmful exposure or too little of something essential

16
New cards

disease cuases and risk factors

nutritional deficiency disease, food insecurity

17
New cards

classification by cause

example covid 19 as an infectiou disease, depends on disease and question being asked

18
New cards

classification by mortality

can reveal differance in their overall impact, people worry more about new or unfamilliar threats than persistant risks around them, catagories may affect how statistics are interpreted

19
New cards

excess mortality

refers to deaths above an expected baseline

20
New cards

what trends do we see ine xcess mortality graphs

deaths fluctuate seasonally, high during winter, yellow line serves as threshhold deaths above line may signal a cause for alarm, how data is graphed can skew perception

21
New cards

measuring disease impact

case fatality rate, prevalance,incidence and morbidity

22
New cards

case fatality rate

also calles case fatality ratio, it is the proportion of identified cases that result in death, depends on age, demographics and access to health care, can be overestimated when cases are diagnoses

23
New cards

morbidity

how many people are affected by a disease

24
New cards

prevalance

counts all existing cases in a population, can be reported as a percentage or cases per number of people, normalizing population size supports comparisons across populations

25
New cards

incidence

counts new cases over a defined period of time

26
New cards

surveilance and case classification

disease stats come from surveillance and reporting systems, classifications include confirmed probable and suspect

27
New cards
28
New cards
29
New cards
30
New cards
31
New cards
32
New cards
33
New cards
34
New cards
35
New cards
36
New cards
37
New cards
38
New cards
39
New cards
40
New cards
41
New cards
42
New cards
43
New cards
44
New cards
45
New cards
46
New cards
47
New cards
48
New cards
49
New cards
50
New cards
51
New cards
52
New cards
53
New cards
54
New cards