Measures of disease occurrence T Ancelle / A Bosman / D Coulombier / A Moren / P Sudre / M Valenciano/ P Penttinen Peter Kreidl.

Slides:



Advertisements
Similar presentations
Números.
Advertisements

Inflammatory Bowel Disease: Overview
Trend for Precision Soil Testing % Zone or Grid Samples Tested compared to Total Samples.
AGVISE Laboratories %Zone or Grid Samples – Northwood laboratory
EuroCondens SGB E.
Addition and Subtraction Equations
Multiplication X 1 1 x 1 = 1 2 x 1 = 2 3 x 1 = 3 4 x 1 = 4 5 x 1 = 5 6 x 1 = 6 7 x 1 = 7 8 x 1 = 8 9 x 1 = 9 10 x 1 = x 1 = x 1 = 12 X 2 1.
Division ÷ 1 1 ÷ 1 = 1 2 ÷ 1 = 2 3 ÷ 1 = 3 4 ÷ 1 = 4 5 ÷ 1 = 5 6 ÷ 1 = 6 7 ÷ 1 = 7 8 ÷ 1 = 8 9 ÷ 1 = 9 10 ÷ 1 = ÷ 1 = ÷ 1 = 12 ÷ 2 2 ÷ 2 =
Ph. D. Completion and Attrition: Baseline Program Data
Ph.D. Completion and Attrition CGS Board of Directors December 4, 2007.
Epidemiological terminology and measures
1 When you see… Find the zeros You think…. 2 To find the zeros...
Cohort, case-control & cross- sectional studies
Confidence intervals Kristin Tolksdorf (based on previous EPIET material) 18th EPIET/EUPHEM Introductory course
Measures of Impact 18 th EPIET/EUPHEM Introductory Course September-October 2012 Lazareto, Menorca, Spain Ioannis Karagiannis.
Rates and measures (of disease occurrence) Chris Williams (adapted from EPIET slides)
Choosing a reference group Louise Coole Sources: EPIET courses (from 1995 to 2011) J Stewart, A Moren.
in descriptive studies
Choosing a Reference Group Adriana Pistol EPIET introductory Course, Lazareto September 2011.
1 1  1 =.
1  1 =.
2 pt 3 pt 4 pt 5 pt 1 pt 2 pt 3 pt 4 pt 5 pt 1 pt 2 pt 3 pt 4 pt 5 pt 1 pt 2 pt 3 pt 4 pt 5 pt 1 pt 2 pt 3 pt 4 pt 5 pt 1 pt Time Money AdditionSubtraction.
Malaria Figures 3.3 billion people at risk of malaria in billion at high risk (>1 case/1000 population) mainly in the WHO African (49%) and South.
Who Wants To Be A Millionaire?
SADC Course in Statistics Basic summaries for epidemiological studies (Session 04)
Welcome to Who Wants to be a Millionaire
Welcome to Who Wants to be a Millionaire
Place Value and Expanded Form
SURVIVAL AND LIFE TABLES
Measures of disease frequency (II). Calculation of incidence Strategy #2 ANALYSIS BASED ON PERSON-TIME CALCULATION OF PERSON-TIME AND INCIDENCE RATES.
突破信息检索壁垒 -SciFinder Scholar 介绍
The basics for simulations
Look at This PowerPoint for help on you times tables
1 Epidemiologic Measures of Association Saeed Akhtar, PhD Associate Professor, Epidemiology Division of Epidemiology and Biostatistics Aga Khan University,
TCCI Barometer March “Establishing a reliable tool for monitoring the financial, business and social activity in the Prefecture of Thessaloniki”
Measures of Disease Frequency
97.5 ± ± ± ± 0.5 Net Adsorption results for Zearalenone of all batches of Mycoad AZ produced from 2006 to 2011 % CV: 0.4% CV:
MS in Iceland MS ID MS ID Meaningful patient involvement Dr. Sverrir Bergmann.
Progressive Aerobic Cardiovascular Endurance Run
2011 WINNISQUAM COMMUNITY SURVEY YOUTH RISK BEHAVIOR GRADES 9-12 STUDENTS=1021.
Before Between After.
Benjamin Banneker Charter Academy of Technology Making AYP Benjamin Banneker Charter Academy of Technology Making AYP.
2011 FRANKLIN COMMUNITY SURVEY YOUTH RISK BEHAVIOR GRADES 9-12 STUDENTS=332.
Foundation Stage Results CLL (6 or above) 79% 73.5%79.4%86.5% M (6 or above) 91%99%97%99% PSE (6 or above) 96%84%100%91.2%97.3% CLL.
Subtraction: Adding UP
Equal or Not. Equal or Not
Static Equilibrium; Elasticity and Fracture
12-2 Conditional Probability Obj: To be able to find conditional probabilities and use formulas and tree diagrams.
Resistência dos Materiais, 5ª ed.
How do we delay disease progress once it has started?
Biostatistics course Part 14 Analysis of binary paired data
The Aging Population Source: U.S. Census Bureau Percent Growth in U.S. Population, by Age Bracket.
Chart Deception Main Source: How to Lie with Charts, by Gerald E. Jones Dr. Michael R. Hyman, NMSU.
2 Graphs and Functions © 2008 Pearson Addison-Wesley. All rights reserved Sections 2.8.
What impact does the address have on the tribe?
Schutzvermerk nach DIN 34 beachten 05/04/15 Seite 1 Training EPAM and CANopen Basic Solution: Password * * Level 1 Level 2 * Level 3 Password2 IP-Adr.
Measure of disease frequency
Epidemiology Kept Simple
Incidence and Prevalence
Ratios,Proportions and Rates MAE Course Measures of frequency The basic tools to describe quantitatively the causes and patterns of disease, or.
Measuring disease and death frequency
Measures of Disease Occurrence MH, Emamian. MD, MPH, PhD.
Rates, Ratios and Proportions and Measures of Disease Frequency
Epidemiology: Basic concepts and principles ENV
Measures of Disease Frequency
Measures of disease occurrence
Dr Seyyed Alireza Moravveji MD Community Medicine Specialist
Measures of Disease Occurrence
Incidence Incidence of a disease is: “the rate at which new cases occur in a population in a given period, usually in the past 12 months (one calendar.
Presentation transcript:

Measures of disease occurrence T Ancelle / A Bosman / D Coulombier / A Moren / P Sudre / M Valenciano/ P Penttinen Peter Kreidl

Objectives Define and use –Risk - Cumulative incidence (CI) - Attack rate (AR) - Rate - Incidence rate (IR) –Odds –Prevalence

RISK

Risk

RISK Non-technical definition –Vague, culture-dependent –Unexpected, unusual, dangerous/negative events

RISK Non-technical definition –Vague, culture-dependent –Unexpected, unusual, dangerous/negative events Epidemiologic definition –Probability that an event will occur –Estimated by: Observing events among a population during a specified time

Cumulative Incidence (CI) (Incidence Proportion) Number of NEW cases of disease during a period Population at the beginning of the period

Cumulative Incidence (CI) (Incidence Proportion) Number of NEW cases of disease during a period Population at the beginning of the period Ex: Bilharziosis in Guadeloupe in 1979: Population 350,000 New cases 1,250 Cumulative incidence= per year = 0.36 % per year = 3.6 new cases / 1000 during a year

x x x x x x x x disease onset Month 1 Month12 Cumulative Incidence Population = 12 Diseased = 7

x x x x x x x x disease onset Month 1 Month12 Cumulative Incidence CI = 7/12 = 0.58 per year = 58% per year

x x x x x x x x disease onset Month 1 Month12 Cumulative Incidence CI = 7/12 = 0.58 per year = 58% per year CI assumes that the entire population at risk is followed up for the same time period

Attack Rate (AR) Cumulative incidence during an outbreak Expressed for the entire epidemic period, from the first to the last case Not really a rate but a proportion!

Attack Rate (AR) Cumulative incidence during an outbreak Expressed for the entire epidemic period, from the first to the last case Not really a rate but a proportion! Ex: Outbreak of cholera in country X in March 1999 –Number of cases 490 –Population 18,600 –Attack rate 2.6%

RISK The probability that an event will occur Proportion ! Cumulative incidence or incidence proportion Attack rate

Rate

Incidence rate Number of NEW cases of disease Total person - time of observation

Incidence rate Number of NEW cases of disease Total person - time of observation Rate Denominator: - is a measure of time - the sum of each individuals time at risk and free from disease

ABCDEABCDE Time at risk x x Total years at risk time followed x disease onset Person-time

ABCDEABCDE Time at risk x x Total years at risk time followed x disease onset Incidence rate (IR) (Incidence density) IR = 2 / 35.5 person years = cases / person year = 5.6 cases / 100 person years = 56 cases / 1000 person years

Odds

Odds (plural) Probability that an event will happen Probability that an event will not happen

Odds WonLost Total EPIET facilitator team Probability that an event will happen Probability that an event will not happen

Odds WonLost Total EPIET facilitator team Probability that an event will happen Probability that an event will not happen 14 / 15 Odds of winning = / 15 = 14 : 1 = 14

Odds of a rare event equal the risk of rare event

The number of hepatitis cases during an outbreak Cases Non cases Population Hepatitis A 30 49,97050,

Odds of a rare event equal the risk of rare event The number of hepatitis cases during an outbreak Cases Non cases Population Hepatitis A 30 49,97050, / 50,000 Odds of disease = = ,970 / 50,000

Odds of a rare event equal the risk of rare event The number of hepatitis cases during an outbreak Cases Non cases Population Hepatitis A 30 49,97050, / 50,000 Odds of disease = = ,970 / 50,000 Risk (CI) of disease = 30/50,000 = 0.006

Summary of disease occurence Risk –Cumulative incidence or incidence proportion –Attack rate Rate –Incidence rate Odds

Prevalence (point prevalence) Number of cases of disease at a specific time Population of interest at that time

Prevalence (point prevalence) Number of cases of disease at a specific time Population of interest at that time Proportion of a population affected by a disease at a given time. Expressed as a percentage

Prevalence (point prevalence) Number of cases of disease at a specific time Population of interest at that time Proportion of a population affected by a disease at a given time. Expressed as a percentage Ex: Bilharziosis in Guadeloupe in 1979: Population 350,000 Cases 96,200 Prevalence 27.6%

References Epidemiology, an introduction. Rothman KJ. Epidemiology in Medicine. Henneckens CH, Buring JE. Modern infectious disease epidemiology. Giesecke J. Dictionary of epidemiology. Last J.