The vermicompost workshop has two portions: the presentation on various topics
related to composting worms and the actual work of creating worm bins. During the activity, we
first drilled holes onto the bottom of the top bins. The bins are structured in l
Measures of disease occurrence
Measures of morbidity
Incidence: cumulative incidence, incidence rate
Prevalence: point prevalence, period prevalence
Measures of mortality
Mortality rate
Specific mortality rate, infant mortality rates
Case fatality
Gordis textbook key concepts from chapters 1, 2, 3, 4, 6, 7, 8, 14 &
answers to end of chapter quiz questions
Week 1: Chapter 1 and 2
Chapter 1:
Epidemiology is the study of how disease is distributed in populations and the factors that influence or
deter
REVIEW #4 DISCUSSION
QUESTIONS
Week 3: Lecture 1 ; Chapters 6 from Gordis Textbook
Life Course Epidemiology & Prognosis and Quality of Life &
Life Tables
DISEASE PROGNOSIS
Five methods to measure prognosis have been presented in
chapter 6:
1.
2.
3.
4.
5.
REVIEW #3 DISCUSSION
QUESTIONS
Week 2: Lecture 1, 2 ; Chapters 3 & 5 from Gordis Textbook
Data Sources, Natural History Disease & Surveillance
Validity/Reliability of Screening Tests
PREVENTION IN PUBLIC HEALTH
Primary prevention: Action to prevent develo
Department of Epidemiology Course EPI 100
School of Public Health
Chapter 1 (Gordis)
The answers to questions are on a separate page at the end.
1. In defining epidemiology, Gordis writes of a broader definition that is widely accepted,
namely that epidem
REVIEW #7 DISCUSSION
QUESTIONS
Week 5: Lecture 2 ; Chapters 14, & 15
from Gordis Textbook
Bias, Confounding, and Interaction
ASSESSING EFFECT MEASURE MODIFICATION
When the incidence rate of disease in the presence or two or
more risk factors differs from
1. Below Table 1 is presenting the person-years follow-up and the number of deaths by sex and
age group for the Worcester Heart Attack Study (WHAS) data. Complete the table below
by calculating the estimated mortality rate per person years for each of the
REVIEW #5 DISCUSSION
QUESTIONS
Week 3: Lecture 2 ; Chapters 9 & 10 from Gordis Textbook
Study Designs:
Ecologic, Cross Sectional, Case Control and Cohort
CROSS-SECTIONAL STUDIES
Disease
No Disease
Exposed
a
b
Not
Exposed
c
d
a / (a + b)
Prevalence Ratio (
REVIEW #6 DISCUSSION
QUESTIONS
Week 5: Lecture 1 ; Chapters 7, 11, & 12
from Gordis Textbook
Study Design:
Randomized Control Trial, Estimating Risk and Bias
Figure 11-5 A, Odds ratio (OR) in a cohort study. B, Odds ratio (OR)
in a case-control study. (Go
Overview of
Sexually Transmitted Diseases
Theory and Practice
Jeffrey D. Klausner, MD, MPH
Professor of Medicine and Public Health
Attending Physician Ronald Reagan Medical Center
Division of Infectious Diseases: Global Health
David Geffen School of Medic
Life is Dirty! How do We
Protect Ourselves?
http:/ww1.prweb.com/prfiles/2013/04/16/10637619/muddy%20junior%20girls.jpg
Non-Specific Mechanisms of
Protection
RAISON DETRE OF THE IMMUNE
SYSTEM:
To Distinguish Self from Non-Self Thereby
Protecting Us From Ou
Human Papilloma Virus
HUMAN PAPILLOMA VIRUS
Double-stranded DNA virus
200+ types
40 types infect the anogenital region
Most common sexually transmitted infection globally
HPVs cause an estimated 5.2% of all cancers globally
High-risk HPVs cause 90+% of ce
Epidemiologists
and Laboratory
Science
Najib Aziz, M.D.
Adjunct Associate Professor
Department of Epidemiology
UCLA, Fielding School of Public Health
January 2017
UCLA, Department of Epidemiology 2017
Introduction:
Advances in the laboratory technologies
Malaria
Global Distribution of P. falciparum
Malaria History
Periodic fevers have been known since
antiquity
Extended as far north as Finland and Canada
Once a major problem in the U.S.
Aggressive efforts to eradicate malaria (1950s
and 60s) failed
L
Emerging and Re-emerging Diseases
Emerging and Re-emerging
Diseases
Roger Detels, MD, MS
Emerging Infectious Disease Categories
(NIAID) 1 of 3
Category
g y A Priority
y Pathogens
g
Category A pathogens are those organisms/biological
agents that pose the h
Surveillance and Transmission
DEFINITIONS OF SURVEILLANCE
LANGMUIR, 1963
SURVEILLANCE
Roger Detels, M.D., M.S.
The continued watchfulness over the
distribution and trends of incidence
through the systematic collection,
consolidation, and evaluation of mor
EPI 220: Principles of Infectious Disease Epidemiology
UCLA School of Public Health
https:/ccle.ucla.edu/course/
Syllabus Winter 2017
Course information
Time: Tuesdays and Thursdays 3-4:50 PM
Location: 33-105 CHS
Units:
Instructor: Roger Detels, MD, MS
Pr
Glossary of Terms
Antigen: Almost anything that is non-self. Typical antigens are viruses, bacteria,
parasites, pollen and foreign cells. The term antigen may refer to the
whole complex, or to a piece of the complex.
T-cells generally see pieces of the an
SUMMARY MEASUREMENT
n
x =
Arithmetic mean
n
1
logx=
log xi
n i=1
n
Geometric mean
(x>0)
Mean
1
x
n i=1 i
Harmonic mean
(x>0)
n
1 /x i
i=1
x
Trimmed mean
x : x min, max
Antilogarithm, use with
positive value data. Used a
lot with percentage
Invert all t
Fundamentals of Epidemiologic Data Analysis
-Methods used to estimate the proportion of population with a disease.
Combinatorial/Binomial
N!
N =
coefficient
y
y ! ( N y )!
( )
Binomial distribution
(Exact statistics)
:N
N y has to be very large.
Pr ( Y =
CH13. Fundamentals of Epidemiologic Data Analysis
-Methods used to estimate the proportion of population with a disease
Name
Formula
Assumptions
Combinatorial/Binomial
N!
N =
coefficient
y
y ! ( N y )!
( )
Binomial distribution
(Exact statistics)
NN
has
y
200A Midterm Final Thoughts:
To answer the question about relationship between Risk, Rate, and Odds:
Reference: pgs 60 & 61 of ME3
Non-ratio measures:
o All three measures will be approximately equal when risk is small and the risk only declines slightly
EPI 200A
Guest Lectures
L13. Behavioral Epidemiology
Definition
o Study of the distribution and etiology of health-related behaviors in population
Issues
o Definition
o Timeframe
o Emotion
o Judgment
o Consequence
Study process
o Existing data
o Making
1) Review
a) Cohort vs. Case-Control
b) Generalized linear model
c) DAGs
2) DAGs
a) Over-adjustment vs. Unnecessary adjustment
b) Berksonian bias & missing data (MAR, MCAR)
3) Statistical Inference
a) DAGs for measurement errors
b) Statistical inference
i
CH20. INTRODUCTION TO REGRESSION MODELS
REGRESSION FUNCTIONS
REGRESSION of a variable Y on another variable X = function that describes how the mean value of Y
changes across population subgroups defined by values of X.
E(Y|X=x) : the average of Y when th
Epidemiology 220
February 13, 2014
MIDTERM EXAMINATION
Select the best answer for the multiple choice questions. There are 92 questions and 12 pages
on the examination. Notify the instructor if your examination does not have 12 pages. Enter
your name and