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epidemiology
study of the distribution and determinants of disease frequency in human populations
application of this knowledge to control health problems
john snow
father of modern epidemiology
environmental theory
populations based approach to improve environmental conditions
state of villagers suffering due to unjust social policies
health is linked to the environment
importance of collaborators and resources
key objectives of epidemiology
study the natural course of disease from onset to resolution
determine the extent of disease in a population
identify patterns and trends in disease occurrence
identify the causes of disease
evaluate the effectiveness of measures that prevent and treat disease
key assumptions of epidemiology
human disease does not occur at random
there are factors/determinants which can increase the likelihood of disease
the factors/determinants can be identified by systematic investigations
epidemiologic triad
conceptual framework used in epidemiology to understand the interaction of factors that contribute to the occurrence and spread of diseases
consists of:
host
agent
environment
host
individual or population susceptible to the disease
examples
host genetics
stage of infection
antiretroviral therapy
reproductive tract infection
cervical ectopy
male circumcension
contraception
menstruation and pregnancy
agent
biological, chemical, or physical factor that causes the disease
examples
HIV subtype
phenotypic differences
genotypic differences
antiretroviral drug resistance
environment
external factors that facilitate or hinder the interaction between the agent and the host
examples
social norms
avg rate of sex-partner change
local prevalence/probability of exposure
social and economic determinants or risk behavior
RMS
daily or weekly counts of total mortality by age, sex, date of death, place of death, and place of usual residence
excess mortality
degree to which currently measured mortality exceeds historically established levels
surveillance
ongoing systematic collection, analysis, interpretation, and dissemination of data regarding a health event for use in public health action to reduce morbidity and mortality to improve health
ex: characterizing patterns of disease, detecting epidemics, further investigation, research, disease control program, detecting priorities, and evaluation
types of surveillance
passive
active
serovurveillance
sentinel
syndromic surveillance
passive surveillance
routine reporting of health data
ex: notifiable diseases, disease registries (birth, deaths, cancer, chronic diseases)
active surveillance
actively seeking out health info; active case finding
ex: outbreaks, serosurveillance, health surveys
complete and better quality
resource intensive
serovurveillance
type of active surveillance
testing blood markers to get an estimate of antibodies against infectious diseases
sentinel surveillance
selective institutions/groups to provide health data on specific diseases
helpful for monitoring diseases, trends, detect outbreaks
not good to detect outside sites/groups, rare conditions
syndromic surveillance
monitoring non specific syndromes
ex: fever, respiratory issues, GI illness, med purchases, absenteeism
helps with early detection of cluster illness
relies on automated systems
rumor surveillance
unofficial sources of info
ex: blogs, media, hearsay, socials
can help alert authorities and early detection
what makes a good surveillance system?
simplicity
flexibility
quality
acceptability
sensitivity and PPV
validity
representativeness
timeliness
stability
evaluation
information for action
outbreaks
occurrence of cases of an illness clearly in excess of what is normally expected in a small limited region
epidemic
outbreak spread to other geographical regions
endemic
usual occurrence in a geographic area
pandemic
worldwide epidemic
observation bias
occurs when a researcher's expectations, beliefs, or personal preferences unintentionally influence what they perceive or record during a study
recall bias
participants do not accurately remember past events or experiences, leading to inaccurate reporting
interviewer bias
unconscious or conscious prejudice that an interviewer has towards a candidate, which influences their judgment and decision-making
ex: how you word a question may come across different to people
confounding variable
presence of a 3rd factor that can affect the observed relationship between an exposure and a disease outcome
must be associated with the outcome independently of exposure
ex: temp, age, time, exercise/diet
independent variables
suspected cause or risk factor; also known as the exposure
dependent variables
outcome or disease being studied
measures of occurrence
ways to describe the distribution of outcome
examples
prevalence total
incidence rate
cumulative incidence
prevalence total
frequency of disease at a given point in time
prevalence formula
# of people with disease at a point in time/total # of people in the population at that point int time
incidence
frequency of disease that develops over a period of time
incidence rate formula
# of new cases of disease during observation period/total observation time at risk
cumulative incidence
proportion of population/at risk group that develop the outcome of interest during a time interval
cumulative incidence formula
# of new cases of disease (outcome)/# of people in source population at risk
measures of association
describe association between outcome and its determinants
examples
proportion
odds
proportion
part/whole expressed as a percentage
range 0 to 1
odds
a ratio of the probability of occurrence of an event to that of nonoccurrence
part/non part
range is 0 to infinity