SlideShare a Scribd company logo
1 of 14
Incidence and Prevalence
Measures of Disease Frequency
Ram Chandra Sharma
Group-218
Objectives
 Importance of Measures of Disease
Frequency
 Prevalence
 Incidence
 Relationship Between Prevalence and
Incidence
 Stratification of Disease Frequency by Person,
Place, and Time
Importance of Measures of Disease
Frequency
 Prior to any clinical trial:
How frequently does the disease occur?
 Provide big picture information about a
disease, framing public health questions and
guiding resource allocation.
 Describe the absolute risk of a disease.
 Can be categorized, or stratified to gain insight
into the pathogenesis (mechanism) of disease.
Prevalence
 The amount of a disease at one particular point
in time
 The proportion of people who have the disease
 Prevalence (%) =
×100%
n
_
u
_
m
_
b
_
e
_
r
_
o
_
f
_
p
_
e
_
o
_
p
_
l
_
e
_
w
i
t
_
h
_
d
_
i
s
e
a
_
s
e
number of people in the population
Prevalence
 What is the prevalence of anxiety disorder
among UM medical student?
 What is the prevalence of cognitive disorders
among school children born at < 34 wks GA
in Manitoba?
Prevalence
Prevalence measures
help to describe the current burden of a
disease in a population in order to facilitate
planning and resource allocation
Incidence
 The number of new cases of disease
that develop over time
Incidence
 Two definitions
 Incidence proportion =
x 100%
n
_
u
_
mbe_
r _
o_
f _
n_
e_
w ca
_ses o_
f _
d_
isea
_
se
population without disease at baseline
 Incidence rate (Incidence density) =
n
_
u
_
mbe_
r _
o_
f _
n_
e_
w ca
_s
_e
_s o_
f _
d_
isea
_
se
person-time at risk
Incidence
 What is the incidence of influenza
infection among UM medical students
(500 students) during a 3-month period
from January through March 2009?
 Time-at-Risk concept
Incidence
Diagram of individual risk time and disease status
Incidence
Incidence measures
help to provide clues as to the cause or
development of a disease
Relationship Between Prevalence
and Incidence
Stratification
 Refers to the process of separating analysis
by subgroups.
 Stratification can be by:
 Personal Characteristics: age, race/ethnicity, sex
 Geography
 Time periods
Reference
 Epidemiology and Biostatistics:
An Introduction to Clinical Research
Bryan Kestenbaum; editors, K. Adeney, N.
Weiss ; contributing author, Abigail B. Shoben
Springer Science+Business Media, LLC 2009

More Related Content

Similar to Ram Chandra Sharma.pptx

Epidemiology.pptx
Epidemiology.pptxEpidemiology.pptx
Epidemiology.pptxDeepakRx1
 
3 Measurment new.pptx
3 Measurment new.pptx3 Measurment new.pptx
3 Measurment new.pptxGashawudesta
 
Running head ROLE OF DESCRIPTIVE EPIDEMIOLOGY IN NURSING SCIENCE .docx
Running head ROLE OF DESCRIPTIVE EPIDEMIOLOGY IN NURSING SCIENCE .docxRunning head ROLE OF DESCRIPTIVE EPIDEMIOLOGY IN NURSING SCIENCE .docx
Running head ROLE OF DESCRIPTIVE EPIDEMIOLOGY IN NURSING SCIENCE .docxtodd521
 
Epidemiology lecture of Community Medicine
Epidemiology lecture of Community Medicine Epidemiology lecture of Community Medicine
Epidemiology lecture of Community Medicine Dr.Farhana Yasmin
 
UNIT-IV introduction about ANP course for M.sc I year.pptx
UNIT-IV introduction about ANP course for M.sc I year.pptxUNIT-IV introduction about ANP course for M.sc I year.pptx
UNIT-IV introduction about ANP course for M.sc I year.pptxanjalatchi
 
PRINCIPLE OF EPIDEMIOLOGY.pptx
PRINCIPLE OF  EPIDEMIOLOGY.pptxPRINCIPLE OF  EPIDEMIOLOGY.pptx
PRINCIPLE OF EPIDEMIOLOGY.pptxAyshaAlrawi1
 
Fundamentals and Study Design of Epidemiology
Fundamentals and Study Design of EpidemiologyFundamentals and Study Design of Epidemiology
Fundamentals and Study Design of EpidemiologyFarazaJaved
 
Introduction to epidemiology
Introduction to epidemiologyIntroduction to epidemiology
Introduction to epidemiologymlogaraj
 
epidemiology with part 2 (complete) 2.ppt
epidemiology with part 2 (complete)   2.pptepidemiology with part 2 (complete)   2.ppt
epidemiology with part 2 (complete) 2.pptAmosWafula3
 
Perceptions of tertiary students on the prevention of sexually transmitted di...
Perceptions of tertiary students on the prevention of sexually transmitted di...Perceptions of tertiary students on the prevention of sexually transmitted di...
Perceptions of tertiary students on the prevention of sexually transmitted di...iosrjce
 
Descriptive and Analytical Epidemiology
Descriptive and Analytical Epidemiology Descriptive and Analytical Epidemiology
Descriptive and Analytical Epidemiology coolboy101pk
 
Statistical epidemiology
Statistical  epidemiologyStatistical  epidemiology
Statistical epidemiologyNandhini Sekar
 
Lisa Barnes PHC6946 Internship Paper
Lisa Barnes PHC6946 Internship PaperLisa Barnes PHC6946 Internship Paper
Lisa Barnes PHC6946 Internship PaperLisa Barnes
 
Descriptive epidemiology involves critical organization, summarizi.docx
Descriptive epidemiology involves critical organization, summarizi.docxDescriptive epidemiology involves critical organization, summarizi.docx
Descriptive epidemiology involves critical organization, summarizi.docxtheodorelove43763
 
Lecture of epidemiology
Lecture of epidemiologyLecture of epidemiology
Lecture of epidemiologyAmany El-seoud
 
UNIT 3 MEASURES OF FREQUENCY.pdf
UNIT 3 MEASURES OF FREQUENCY.pdfUNIT 3 MEASURES OF FREQUENCY.pdf
UNIT 3 MEASURES OF FREQUENCY.pdfJoyceSChipili
 
Measurement of morbidity
Measurement of morbidityMeasurement of morbidity
Measurement of morbiditydrjagannath
 

Similar to Ram Chandra Sharma.pptx (20)

Epidemiology.pptx
Epidemiology.pptxEpidemiology.pptx
Epidemiology.pptx
 
3 Measurment new.pptx
3 Measurment new.pptx3 Measurment new.pptx
3 Measurment new.pptx
 
Running head ROLE OF DESCRIPTIVE EPIDEMIOLOGY IN NURSING SCIENCE .docx
Running head ROLE OF DESCRIPTIVE EPIDEMIOLOGY IN NURSING SCIENCE .docxRunning head ROLE OF DESCRIPTIVE EPIDEMIOLOGY IN NURSING SCIENCE .docx
Running head ROLE OF DESCRIPTIVE EPIDEMIOLOGY IN NURSING SCIENCE .docx
 
Epidemiology lecture of Community Medicine
Epidemiology lecture of Community Medicine Epidemiology lecture of Community Medicine
Epidemiology lecture of Community Medicine
 
UNIT-IV introduction about ANP course for M.sc I year.pptx
UNIT-IV introduction about ANP course for M.sc I year.pptxUNIT-IV introduction about ANP course for M.sc I year.pptx
UNIT-IV introduction about ANP course for M.sc I year.pptx
 
PRINCIPLE OF EPIDEMIOLOGY.pptx
PRINCIPLE OF  EPIDEMIOLOGY.pptxPRINCIPLE OF  EPIDEMIOLOGY.pptx
PRINCIPLE OF EPIDEMIOLOGY.pptx
 
Fundamentals and Study Design of Epidemiology
Fundamentals and Study Design of EpidemiologyFundamentals and Study Design of Epidemiology
Fundamentals and Study Design of Epidemiology
 
2.epidemilogic measures
2.epidemilogic measures2.epidemilogic measures
2.epidemilogic measures
 
Introduction to epidemiology
Introduction to epidemiologyIntroduction to epidemiology
Introduction to epidemiology
 
epidemiology with part 2 (complete) 2.ppt
epidemiology with part 2 (complete)   2.pptepidemiology with part 2 (complete)   2.ppt
epidemiology with part 2 (complete) 2.ppt
 
Perceptions of tertiary students on the prevention of sexually transmitted di...
Perceptions of tertiary students on the prevention of sexually transmitted di...Perceptions of tertiary students on the prevention of sexually transmitted di...
Perceptions of tertiary students on the prevention of sexually transmitted di...
 
Descriptive and Analytical Epidemiology
Descriptive and Analytical Epidemiology Descriptive and Analytical Epidemiology
Descriptive and Analytical Epidemiology
 
90110 pp tx_ch03
90110 pp tx_ch0390110 pp tx_ch03
90110 pp tx_ch03
 
Statistical epidemiology
Statistical  epidemiologyStatistical  epidemiology
Statistical epidemiology
 
Lisa Barnes PHC6946 Internship Paper
Lisa Barnes PHC6946 Internship PaperLisa Barnes PHC6946 Internship Paper
Lisa Barnes PHC6946 Internship Paper
 
Descriptive epidemiology involves critical organization, summarizi.docx
Descriptive epidemiology involves critical organization, summarizi.docxDescriptive epidemiology involves critical organization, summarizi.docx
Descriptive epidemiology involves critical organization, summarizi.docx
 
2.Measurements.pdf
2.Measurements.pdf2.Measurements.pdf
2.Measurements.pdf
 
Lecture of epidemiology
Lecture of epidemiologyLecture of epidemiology
Lecture of epidemiology
 
UNIT 3 MEASURES OF FREQUENCY.pdf
UNIT 3 MEASURES OF FREQUENCY.pdfUNIT 3 MEASURES OF FREQUENCY.pdf
UNIT 3 MEASURES OF FREQUENCY.pdf
 
Measurement of morbidity
Measurement of morbidityMeasurement of morbidity
Measurement of morbidity
 

More from MrMedicine

Nitin Yadav pptx.pptxvtctctcyctctctxtftftftf
Nitin Yadav pptx.pptxvtctctcyctctctxtftftftfNitin Yadav pptx.pptxvtctctcyctctctxtftftftf
Nitin Yadav pptx.pptxvtctctcyctctctxtftftftfMrMedicine
 
Ram - 318.pptxvuvj j n j hvhvuguguvugiguvuv
Ram - 318.pptxvuvj j n j hvhvuguguvugiguvuvRam - 318.pptxvuvj j n j hvhvuguguvugiguvuv
Ram - 318.pptxvuvj j n j hvhvuguguvugiguvuvMrMedicine
 
AG0cnae449UQep77565.pptxgghjjjjjfcchyfxcff
AG0cnae449UQep77565.pptxgghjjjjjfcchyfxcffAG0cnae449UQep77565.pptxgghjjjjjfcchyfxcff
AG0cnae449UQep77565.pptxgghjjjjjfcchyfxcffMrMedicine
 
tirthpharma313.pptxh hvibobobohog9h8g8gig8g
tirthpharma313.pptxh hvibobobohog9h8g8gig8gtirthpharma313.pptxh hvibobobohog9h8g8gig8g
tirthpharma313.pptxh hvibobobohog9h8g8gig8gMrMedicine
 
Peptic.pptxhhjsushxgxvxjxuyxhddidudyddgdydydu
Peptic.pptxhhjsushxgxvxjxuyxhddidudyddgdydyduPeptic.pptxhhjsushxgxvxjxuyxhddidudyddgdydydu
Peptic.pptxhhjsushxgxvxjxuyxhddidudyddgdydyduMrMedicine
 
Ram Chandra - 318 (2) (2).pptxcyvygugihihigug
Ram Chandra - 318 (2) (2).pptxcyvygugihihigugRam Chandra - 318 (2) (2).pptxcyvygugihihigug
Ram Chandra - 318 (2) (2).pptxcyvygugihihigugMrMedicine
 
SadC7RHR9NkPCE4D719.pptxvvvvvvĝggffttytg
SadC7RHR9NkPCE4D719.pptxvvvvvvĝggffttytgSadC7RHR9NkPCE4D719.pptxvvvvvvĝggffttytg
SadC7RHR9NkPCE4D719.pptxvvvvvvĝggffttytgMrMedicine
 
Nephrotic Syndrome Management Case Report by Slidesgo (1).pptx
Nephrotic Syndrome Management Case Report by Slidesgo (1).pptxNephrotic Syndrome Management Case Report by Slidesgo (1).pptx
Nephrotic Syndrome Management Case Report by Slidesgo (1).pptxMrMedicine
 
biostat 2.pptx h h jbjbivigyfyfyfyfyftftc
biostat 2.pptx h h jbjbivigyfyfyfyfyftftcbiostat 2.pptx h h jbjbivigyfyfyfyfyftftc
biostat 2.pptx h h jbjbivigyfyfyfyfyftftcMrMedicine
 
Presentation 2.pptxxxxxxxxxxxxrezghyyhggg
Presentation 2.pptxxxxxxxxxxxxrezghyyhgggPresentation 2.pptxxxxxxxxxxxxrezghyyhggg
Presentation 2.pptxxxxxxxxxxxxrezghyyhgggMrMedicine
 
poliomyelitis microbiology.pptx
poliomyelitis microbiology.pptxpoliomyelitis microbiology.pptx
poliomyelitis microbiology.pptxMrMedicine
 
2 урок анг.pptx
2 урок анг.pptx2 урок анг.pptx
2 урок анг.pptxMrMedicine
 
introduction-to-epidemiology (1).pptx
introduction-to-epidemiology (1).pptxintroduction-to-epidemiology (1).pptx
introduction-to-epidemiology (1).pptxMrMedicine
 
Aman%20Ppt.pptx
Aman%20Ppt.pptxAman%20Ppt.pptx
Aman%20Ppt.pptxMrMedicine
 
Basic_First_Aid.pptx
Basic_First_Aid.pptxBasic_First_Aid.pptx
Basic_First_Aid.pptxMrMedicine
 
Group-218(1st).pptx
Group-218(1st).pptxGroup-218(1st).pptx
Group-218(1st).pptxMrMedicine
 
Vijay Chaudhary.pptx
Vijay Chaudhary.pptxVijay Chaudhary.pptx
Vijay Chaudhary.pptxMrMedicine
 
leonardo-da-vinci-ppt-1204527819891627-4.pdf
leonardo-da-vinci-ppt-1204527819891627-4.pdfleonardo-da-vinci-ppt-1204527819891627-4.pdf
leonardo-da-vinci-ppt-1204527819891627-4.pdfMrMedicine
 

More from MrMedicine (20)

Nitin Yadav pptx.pptxvtctctcyctctctxtftftftf
Nitin Yadav pptx.pptxvtctctcyctctctxtftftftfNitin Yadav pptx.pptxvtctctcyctctctxtftftftf
Nitin Yadav pptx.pptxvtctctcyctctctxtftftftf
 
Ram - 318.pptxvuvj j n j hvhvuguguvugiguvuv
Ram - 318.pptxvuvj j n j hvhvuguguvugiguvuvRam - 318.pptxvuvj j n j hvhvuguguvugiguvuv
Ram - 318.pptxvuvj j n j hvhvuguguvugiguvuv
 
AG0cnae449UQep77565.pptxgghjjjjjfcchyfxcff
AG0cnae449UQep77565.pptxgghjjjjjfcchyfxcffAG0cnae449UQep77565.pptxgghjjjjjfcchyfxcff
AG0cnae449UQep77565.pptxgghjjjjjfcchyfxcff
 
tirthpharma313.pptxh hvibobobohog9h8g8gig8g
tirthpharma313.pptxh hvibobobohog9h8g8gig8gtirthpharma313.pptxh hvibobobohog9h8g8gig8g
tirthpharma313.pptxh hvibobobohog9h8g8gig8g
 
Peptic.pptxhhjsushxgxvxjxuyxhddidudyddgdydydu
Peptic.pptxhhjsushxgxvxjxuyxhddidudyddgdydyduPeptic.pptxhhjsushxgxvxjxuyxhddidudyddgdydydu
Peptic.pptxhhjsushxgxvxjxuyxhddidudyddgdydydu
 
Ram Chandra - 318 (2) (2).pptxcyvygugihihigug
Ram Chandra - 318 (2) (2).pptxcyvygugihihigugRam Chandra - 318 (2) (2).pptxcyvygugihihigug
Ram Chandra - 318 (2) (2).pptxcyvygugihihigug
 
SadC7RHR9NkPCE4D719.pptxvvvvvvĝggffttytg
SadC7RHR9NkPCE4D719.pptxvvvvvvĝggffttytgSadC7RHR9NkPCE4D719.pptxvvvvvvĝggffttytg
SadC7RHR9NkPCE4D719.pptxvvvvvvĝggffttytg
 
Nephrotic Syndrome Management Case Report by Slidesgo (1).pptx
Nephrotic Syndrome Management Case Report by Slidesgo (1).pptxNephrotic Syndrome Management Case Report by Slidesgo (1).pptx
Nephrotic Syndrome Management Case Report by Slidesgo (1).pptx
 
biostat 2.pptx h h jbjbivigyfyfyfyfyftftc
biostat 2.pptx h h jbjbivigyfyfyfyfyftftcbiostat 2.pptx h h jbjbivigyfyfyfyfyftftc
biostat 2.pptx h h jbjbivigyfyfyfyfyftftc
 
Presentation 2.pptxxxxxxxxxxxxrezghyyhggg
Presentation 2.pptxxxxxxxxxxxxrezghyyhgggPresentation 2.pptxxxxxxxxxxxxrezghyyhggg
Presentation 2.pptxxxxxxxxxxxxrezghyyhggg
 
poliomyelitis microbiology.pptx
poliomyelitis microbiology.pptxpoliomyelitis microbiology.pptx
poliomyelitis microbiology.pptx
 
2 урок анг.pptx
2 урок анг.pptx2 урок анг.pptx
2 урок анг.pptx
 
introduction-to-epidemiology (1).pptx
introduction-to-epidemiology (1).pptxintroduction-to-epidemiology (1).pptx
introduction-to-epidemiology (1).pptx
 
2 анг.pptx
2 анг.pptx2 анг.pptx
2 анг.pptx
 
Aman%20Ppt.pptx
Aman%20Ppt.pptxAman%20Ppt.pptx
Aman%20Ppt.pptx
 
Basic_First_Aid.pptx
Basic_First_Aid.pptxBasic_First_Aid.pptx
Basic_First_Aid.pptx
 
Group-218(1st).pptx
Group-218(1st).pptxGroup-218(1st).pptx
Group-218(1st).pptx
 
Group-1.pptx
Group-1.pptxGroup-1.pptx
Group-1.pptx
 
Vijay Chaudhary.pptx
Vijay Chaudhary.pptxVijay Chaudhary.pptx
Vijay Chaudhary.pptx
 
leonardo-da-vinci-ppt-1204527819891627-4.pdf
leonardo-da-vinci-ppt-1204527819891627-4.pdfleonardo-da-vinci-ppt-1204527819891627-4.pdf
leonardo-da-vinci-ppt-1204527819891627-4.pdf
 

Recently uploaded

Fuzzy Sets decision making under information of uncertainty
Fuzzy Sets decision making under information of uncertaintyFuzzy Sets decision making under information of uncertainty
Fuzzy Sets decision making under information of uncertaintyRafigAliyev2
 
NO1 Best Kala Jadu Expert Specialist In Germany Kala Jadu Expert Specialist I...
NO1 Best Kala Jadu Expert Specialist In Germany Kala Jadu Expert Specialist I...NO1 Best Kala Jadu Expert Specialist In Germany Kala Jadu Expert Specialist I...
NO1 Best Kala Jadu Expert Specialist In Germany Kala Jadu Expert Specialist I...Amil baba
 
2024 Q1 Tableau User Group Leader Quarterly Call
2024 Q1 Tableau User Group Leader Quarterly Call2024 Q1 Tableau User Group Leader Quarterly Call
2024 Q1 Tableau User Group Leader Quarterly Calllward7
 
Data Visualization Exploring and Explaining with Data 1st Edition by Camm sol...
Data Visualization Exploring and Explaining with Data 1st Edition by Camm sol...Data Visualization Exploring and Explaining with Data 1st Edition by Camm sol...
Data Visualization Exploring and Explaining with Data 1st Edition by Camm sol...ssuserf63bd7
 
一比一原版西悉尼大学毕业证成绩单如何办理
一比一原版西悉尼大学毕业证成绩单如何办理一比一原版西悉尼大学毕业证成绩单如何办理
一比一原版西悉尼大学毕业证成绩单如何办理pyhepag
 
一比一原版麦考瑞大学毕业证成绩单如何办理
一比一原版麦考瑞大学毕业证成绩单如何办理一比一原版麦考瑞大学毕业证成绩单如何办理
一比一原版麦考瑞大学毕业证成绩单如何办理cyebo
 
一比一原版(Monash毕业证书)莫纳什大学毕业证成绩单如何办理
一比一原版(Monash毕业证书)莫纳什大学毕业证成绩单如何办理一比一原版(Monash毕业证书)莫纳什大学毕业证成绩单如何办理
一比一原版(Monash毕业证书)莫纳什大学毕业证成绩单如何办理pyhepag
 
一比一原版加利福尼亚大学尔湾分校毕业证成绩单如何办理
一比一原版加利福尼亚大学尔湾分校毕业证成绩单如何办理一比一原版加利福尼亚大学尔湾分校毕业证成绩单如何办理
一比一原版加利福尼亚大学尔湾分校毕业证成绩单如何办理pyhepag
 
2024 Q2 Orange County (CA) Tableau User Group Meeting
2024 Q2 Orange County (CA) Tableau User Group Meeting2024 Q2 Orange County (CA) Tableau User Group Meeting
2024 Q2 Orange County (CA) Tableau User Group MeetingAlison Pitt
 
Atlantic Grupa Case Study (Mintec Data AI)
Atlantic Grupa Case Study (Mintec Data AI)Atlantic Grupa Case Study (Mintec Data AI)
Atlantic Grupa Case Study (Mintec Data AI)Jon Hansen
 
一比一原版纽卡斯尔大学毕业证成绩单如何办理
一比一原版纽卡斯尔大学毕业证成绩单如何办理一比一原版纽卡斯尔大学毕业证成绩单如何办理
一比一原版纽卡斯尔大学毕业证成绩单如何办理cyebo
 
Easy and simple project file on mp online
Easy and simple project file on mp onlineEasy and simple project file on mp online
Easy and simple project file on mp onlinebalibahu1313
 
basics of data science with application areas.pdf
basics of data science with application areas.pdfbasics of data science with application areas.pdf
basics of data science with application areas.pdfvyankatesh1
 
Artificial_General_Intelligence__storm_gen_article.pdf
Artificial_General_Intelligence__storm_gen_article.pdfArtificial_General_Intelligence__storm_gen_article.pdf
Artificial_General_Intelligence__storm_gen_article.pdfscitechtalktv
 
一比一原版阿德莱德大学毕业证成绩单如何办理
一比一原版阿德莱德大学毕业证成绩单如何办理一比一原版阿德莱德大学毕业证成绩单如何办理
一比一原版阿德莱德大学毕业证成绩单如何办理pyhepag
 
Supply chain analytics to combat the effects of Ukraine-Russia-conflict
Supply chain analytics to combat the effects of Ukraine-Russia-conflictSupply chain analytics to combat the effects of Ukraine-Russia-conflict
Supply chain analytics to combat the effects of Ukraine-Russia-conflictJack Cole
 
Generative AI for Trailblazers_ Unlock the Future of AI.pdf
Generative AI for Trailblazers_ Unlock the Future of AI.pdfGenerative AI for Trailblazers_ Unlock the Future of AI.pdf
Generative AI for Trailblazers_ Unlock the Future of AI.pdfEmmanuel Dauda
 
The Significance of Transliteration Enhancing
The Significance of Transliteration EnhancingThe Significance of Transliteration Enhancing
The Significance of Transliteration Enhancingmohamed Elzalabany
 

Recently uploaded (20)

Fuzzy Sets decision making under information of uncertainty
Fuzzy Sets decision making under information of uncertaintyFuzzy Sets decision making under information of uncertainty
Fuzzy Sets decision making under information of uncertainty
 
NO1 Best Kala Jadu Expert Specialist In Germany Kala Jadu Expert Specialist I...
NO1 Best Kala Jadu Expert Specialist In Germany Kala Jadu Expert Specialist I...NO1 Best Kala Jadu Expert Specialist In Germany Kala Jadu Expert Specialist I...
NO1 Best Kala Jadu Expert Specialist In Germany Kala Jadu Expert Specialist I...
 
2024 Q1 Tableau User Group Leader Quarterly Call
2024 Q1 Tableau User Group Leader Quarterly Call2024 Q1 Tableau User Group Leader Quarterly Call
2024 Q1 Tableau User Group Leader Quarterly Call
 
Data Visualization Exploring and Explaining with Data 1st Edition by Camm sol...
Data Visualization Exploring and Explaining with Data 1st Edition by Camm sol...Data Visualization Exploring and Explaining with Data 1st Edition by Camm sol...
Data Visualization Exploring and Explaining with Data 1st Edition by Camm sol...
 
一比一原版西悉尼大学毕业证成绩单如何办理
一比一原版西悉尼大学毕业证成绩单如何办理一比一原版西悉尼大学毕业证成绩单如何办理
一比一原版西悉尼大学毕业证成绩单如何办理
 
一比一原版麦考瑞大学毕业证成绩单如何办理
一比一原版麦考瑞大学毕业证成绩单如何办理一比一原版麦考瑞大学毕业证成绩单如何办理
一比一原版麦考瑞大学毕业证成绩单如何办理
 
一比一原版(Monash毕业证书)莫纳什大学毕业证成绩单如何办理
一比一原版(Monash毕业证书)莫纳什大学毕业证成绩单如何办理一比一原版(Monash毕业证书)莫纳什大学毕业证成绩单如何办理
一比一原版(Monash毕业证书)莫纳什大学毕业证成绩单如何办理
 
一比一原版加利福尼亚大学尔湾分校毕业证成绩单如何办理
一比一原版加利福尼亚大学尔湾分校毕业证成绩单如何办理一比一原版加利福尼亚大学尔湾分校毕业证成绩单如何办理
一比一原版加利福尼亚大学尔湾分校毕业证成绩单如何办理
 
Machine Learning for Accident Severity Prediction
Machine Learning for Accident Severity PredictionMachine Learning for Accident Severity Prediction
Machine Learning for Accident Severity Prediction
 
2024 Q2 Orange County (CA) Tableau User Group Meeting
2024 Q2 Orange County (CA) Tableau User Group Meeting2024 Q2 Orange County (CA) Tableau User Group Meeting
2024 Q2 Orange County (CA) Tableau User Group Meeting
 
Atlantic Grupa Case Study (Mintec Data AI)
Atlantic Grupa Case Study (Mintec Data AI)Atlantic Grupa Case Study (Mintec Data AI)
Atlantic Grupa Case Study (Mintec Data AI)
 
一比一原版纽卡斯尔大学毕业证成绩单如何办理
一比一原版纽卡斯尔大学毕业证成绩单如何办理一比一原版纽卡斯尔大学毕业证成绩单如何办理
一比一原版纽卡斯尔大学毕业证成绩单如何办理
 
Slip-and-fall Injuries: Top Workers' Comp Claims
Slip-and-fall Injuries: Top Workers' Comp ClaimsSlip-and-fall Injuries: Top Workers' Comp Claims
Slip-and-fall Injuries: Top Workers' Comp Claims
 
Easy and simple project file on mp online
Easy and simple project file on mp onlineEasy and simple project file on mp online
Easy and simple project file on mp online
 
basics of data science with application areas.pdf
basics of data science with application areas.pdfbasics of data science with application areas.pdf
basics of data science with application areas.pdf
 
Artificial_General_Intelligence__storm_gen_article.pdf
Artificial_General_Intelligence__storm_gen_article.pdfArtificial_General_Intelligence__storm_gen_article.pdf
Artificial_General_Intelligence__storm_gen_article.pdf
 
一比一原版阿德莱德大学毕业证成绩单如何办理
一比一原版阿德莱德大学毕业证成绩单如何办理一比一原版阿德莱德大学毕业证成绩单如何办理
一比一原版阿德莱德大学毕业证成绩单如何办理
 
Supply chain analytics to combat the effects of Ukraine-Russia-conflict
Supply chain analytics to combat the effects of Ukraine-Russia-conflictSupply chain analytics to combat the effects of Ukraine-Russia-conflict
Supply chain analytics to combat the effects of Ukraine-Russia-conflict
 
Generative AI for Trailblazers_ Unlock the Future of AI.pdf
Generative AI for Trailblazers_ Unlock the Future of AI.pdfGenerative AI for Trailblazers_ Unlock the Future of AI.pdf
Generative AI for Trailblazers_ Unlock the Future of AI.pdf
 
The Significance of Transliteration Enhancing
The Significance of Transliteration EnhancingThe Significance of Transliteration Enhancing
The Significance of Transliteration Enhancing
 

Ram Chandra Sharma.pptx

  • 1. Incidence and Prevalence Measures of Disease Frequency Ram Chandra Sharma Group-218
  • 2. Objectives  Importance of Measures of Disease Frequency  Prevalence  Incidence  Relationship Between Prevalence and Incidence  Stratification of Disease Frequency by Person, Place, and Time
  • 3. Importance of Measures of Disease Frequency  Prior to any clinical trial: How frequently does the disease occur?  Provide big picture information about a disease, framing public health questions and guiding resource allocation.  Describe the absolute risk of a disease.  Can be categorized, or stratified to gain insight into the pathogenesis (mechanism) of disease.
  • 4. Prevalence  The amount of a disease at one particular point in time  The proportion of people who have the disease  Prevalence (%) = ×100% n _ u _ m _ b _ e _ r _ o _ f _ p _ e _ o _ p _ l _ e _ w i t _ h _ d _ i s e a _ s e number of people in the population
  • 5. Prevalence  What is the prevalence of anxiety disorder among UM medical student?  What is the prevalence of cognitive disorders among school children born at < 34 wks GA in Manitoba?
  • 6. Prevalence Prevalence measures help to describe the current burden of a disease in a population in order to facilitate planning and resource allocation
  • 7. Incidence  The number of new cases of disease that develop over time
  • 8. Incidence  Two definitions  Incidence proportion = x 100% n _ u _ mbe_ r _ o_ f _ n_ e_ w ca _ses o_ f _ d_ isea _ se population without disease at baseline  Incidence rate (Incidence density) = n _ u _ mbe_ r _ o_ f _ n_ e_ w ca _s _e _s o_ f _ d_ isea _ se person-time at risk
  • 9. Incidence  What is the incidence of influenza infection among UM medical students (500 students) during a 3-month period from January through March 2009?  Time-at-Risk concept
  • 10. Incidence Diagram of individual risk time and disease status
  • 11. Incidence Incidence measures help to provide clues as to the cause or development of a disease
  • 13. Stratification  Refers to the process of separating analysis by subgroups.  Stratification can be by:  Personal Characteristics: age, race/ethnicity, sex  Geography  Time periods
  • 14. Reference  Epidemiology and Biostatistics: An Introduction to Clinical Research Bryan Kestenbaum; editors, K. Adeney, N. Weiss ; contributing author, Abigail B. Shoben Springer Science+Business Media, LLC 2009