This document provides an introduction to epidemiology. It defines epidemiology as the study of the distribution and determinants of health-related states or events in specified populations, and the application of this study to control health problems. It discusses key epidemiological concepts such as disease frequency, distribution, and determinants. It also covers epidemiological study designs, measures of disease occurrence such as rates, ratios and proportions, and how epidemiology compares groups to identify risk factors and test hypotheses about disease causation.
Introduction to epidemiology and it's measurementswrigveda
油
Epidemiology is defined as the study of the distribution and determinants of health-related states or events in specified populations. It has three main components - distribution, determinants, and frequency. Measurement of disease frequency involves quantifying disease occurrence and is a prerequisite for epidemiological investigation. Rates, ratios, and proportions are key tools used to measure disease frequency and distribution. Incidence rates measure new cases over time while prevalence rates measure existing cases. These measurements are essential for describing disease patterns, formulating hypotheses, and evaluating prevention programs.
Descriptive and Analytical Epidemiology coolboy101pk
油
This document provides an overview of a training session on descriptive and analytic epidemiology. Descriptive epidemiology involves describing disease frequency, distribution, and determinants in populations using measures like prevalence and incidence. Analytic epidemiology aims to understand why diseases occur using study designs like cohort studies and case-control studies to test hypotheses. Key terms discussed include measures of association like relative risk and odds ratio, and statistical tests like confidence intervals and p-values.
Here are the key points to compare the different research methods:
Cross-sectional study:
- Advantages: Quick, easy, low cost, can study multiple factors at once
- Disadvantages: Cannot determine temporal sequence, prone to biases
- Requirements: Representative sample, standardized data collection
Case-control study:
- Advantages: Efficient to study rare diseases, can study multiple exposures
- Disadvantages: Prone to selection and recall biases, uncertain temporal sequence
- Requirements: Clear case definition, appropriate controls matched to cases
Cohort study:
- Advantages: Directly measures risk, establishes temporal sequence
- Disadvantages: Expensive, long follow up needed
Epidemiology is the study and analysis of the patterns, causes, and effects of health and disease conditions in defined populations. It is the cornerstone of public health, and shapes policy decisions and evidence-based practice by identifying risk factors for disease and targets for preventive healthcare. Epidemiologists help with study design, collection, and statistical analysis of data, amend interpretation and dissemination of results (including peer review and occasional systematic review). Epidemiology has helped develop methodology used in clinical research, public health studies, and, to a lesser extent, basic research in the biological sciences
Mesurement of morbidity (prevalence) presentationDrsadhana Meena
油
measurement of morbidity (prevalence ) presentation by dr. sadhana, sms medical college , jaipur
included all aspects related to prevalence - objectives,types,significance ,comparison between prevalence and incidence , practical example of prevalence.
Incidence and prevalence measures provide information about disease frequency and burden in populations. Prevalence describes the proportion of people with a disease at a point in time, while incidence refers to the number of new cases that develop over time. Both measures can be stratified by person, place, and time to gain insights into a disease's pathogenesis and development.
Attributable risk and population attributable riskAbino David
油
This document defines risk factors and describes methods for identifying and quantifying risk. It defines a risk factor as an attribute or exposure associated with disease development. Epidemiological studies help identify risk factors and estimate degree of risk. Relative risk compares incidence between exposed and unexposed groups, while attributable risk indicates how much disease can be attributed to exposure by comparing incidence rates. Two examples are given to illustrate these concepts and how attributable risk informs potential public health interventions.
Life is full of curves and thus the epidemiology. However, some curves are important as Epidemic Curves and Survival Curves. This presentation is an attempt to know about epidemic curves.
Standardization of rates by Dr. Basil TumainiBasil Tumaini
油
Standardization of rates by Dr. Basil Tumaini, presented during the residency at Muhimbili University of Health and Allied Sciences, Epidemiology class
History Of Epidemiology for Graduate and Postgraduate studentsTauseef Jawaid
油
This document provides a summary of the history of epidemiology from ancient times to the present. It describes key figures and discoveries such as Hippocrates' association of disease with environment, Jenner's pioneering of vaccination, Snow's mapping of a cholera outbreak to a contaminated well. More recent developments discussed include the founding of the U.S. Public Health Service, landmark studies like the Tuskegee syphilis study, and future challenges of globalization and overcrowding facilitating disease spread.
Incidence refers to the rate of new cases of a disease occurring in a population over a specified period of time. It is calculated by taking the number of new cases (the numerator) divided by the total person-time at risk (the denominator) and multiplying by a standard rate. The denominator considers the total time each person in the population is observed and disease-free. Incidence provides information about the risk of developing a new disease and is used to compare disease burden between populations or time periods.
Epidemiology is defined as the study of health and disease in populations. It examines the patterns and causes of disease distribution. Key terms include epidemic, which is a disease rate above normal; endemic, a usual disease rate; and pandemic, a global epidemic. Epidemiology is used to study disease history, assess community health needs, estimate individual disease risk, identify disease causes, and guide prevention efforts. Prevention includes primary prevention to stop disease onset, secondary prevention to halt early disease progression, and tertiary prevention to reduce disability from established disease.
This document discusses epidemiological methods for studying the distribution and determinants of health events and applying that knowledge to disease control. It defines descriptive epidemiology as the study of disease occurrence, distribution, and patterns in populations. Descriptive methods are observational and can be cross-sectional or longitudinal. Descriptive epidemiology provides insights into disease frequency, trends, and risk factors to inform public health planning and resource allocation.
This document discusses various types of biases that can occur in epidemiological studies. It defines bias as systematic error that results in an incorrect estimate of the association between exposure and disease. Several types of biases are described, including selection bias, information bias, and confounding. Selection bias occurs when the study population is not representative of the target population and can arise from inappropriate definitions of eligibility, sampling frames, or follow-up. Information bias results from inaccurate or missing data.
This document discusses various measures used to quantify drug use and outcomes in pharmacoepidemiological studies. It describes prevalence as the proportion of people with a disease or exposed to a drug at a given time. Incidence is the number of new cases within a time period, while incidence rate is the number of new cases per unit of person-time at risk. Drug use is commonly measured by the number of prescriptions, units of drug dispensed, defined daily doses which estimates average maintenance dose, and prescribed daily doses which is the average dose actually prescribed. Adherence is often measured through biological assays, pill counts, pharmacy records, and patient interviews.
Measurements of morbidity and mortality
At the end of the session, the students shall be able to
List the basic measurements in epidemiology
Select an appropriate tools of measurement
Measure morbidity & mortality
Perform standardization of rates
Descriptive epidemiological studies are used to:
1. Document the distribution and determinants of health-related events in populations without attempting to infer causality.
2. Describe patterns of disease by person, place, and time to identify potential risk factors and generate hypotheses.
3. Provide baseline data on diseases, health conditions, and their risk factors that can be used to plan interventions and evaluate control programs.
This document discusses definitions and concepts in epidemiology. It provides historical definitions of epidemiology from various scholars and outlines key aspects including disease frequency, distribution, and determinants. Descriptive epidemiology is introduced as the initial phase of epidemiological investigation that describes disease occurrence in terms of time, place, and person. Key measures like incidence, prevalence, rates, and ratios are also defined.
This document provides an overview of key concepts in epidemiology. It defines epidemiology as the study of frequency, distribution, and determinants of diseases and health conditions in populations along with applying this study to disease prevention and health promotion. The document also describes the components of epidemiology, its history, scope, purpose, types (descriptive and analytic), basic assumptions, features, disease causation theories and models, the natural history of diseases, levels of disease prevention, and the infectious disease process.
An overview of a key statistical technique in epidemiology standardization - is introduced. The process and application of both direct and indirect standardization in improving the validity of comparisons between populations are described.
This document discusses and compares monitoring and surveillance in veterinary epidemiology. It defines surveillance as a more intensive form of monitoring that involves the gathering, analysis, and dissemination of disease data to support control actions. The key differences provided are that surveillance requires professional analysis and judgment to make recommendations, has formulated standards, and can differentiate between acceptable and unacceptable changes in disease status. Various types of surveillance systems and their uses in disease control planning and evaluation are also outlined.
Descriptive epidemiology is the first phase of an epidemiological investigation concerned with observing disease distribution in a population and identifying associated characteristics. It involves defining the population and disease, describing disease occurrence in terms of time, place and person, measuring disease burden, comparing data to known indices, and formulating hypotheses about disease etiology. The steps include defining the population and disease under study, describing patterns of occurrence by time, location and personal attributes, measuring disease incidence and prevalence, and developing hypotheses to explain observed patterns and suggest preventive measures.
This document discusses disease surveillance and the concept of a public health ecosystem. It describes key aspects of public health including promoting healthy lifestyles, researching disease prevention, and controlling infectious diseases. Disease surveillance is highlighted as a core public health function. An ideal public health information ecosystem is proposed, with different components like surveillance, immunization, and environmental health. The document explores what disease surveillance entails and presents the idea of a disease surveillance ecosystem that brings together different stakeholders like epidemiologists, nurses, and laboratory staff. It addresses current gaps and ways to prioritize and fill them. Finally, it considers exercises around building an ideal disease surveillance team and responding to syndromic surveillance alerts.
This document outlines the steps in conducting a cohort study. It defines a cohort as a group of people who share a common characteristic or experience within a defined time period. The key elements of a cohort study discussed are: selection of study subjects, obtaining data on exposure levels, selection of comparison groups, follow up of participants, and analysis of disease outcomes between exposed and unexposed groups to determine the strength of any association. Regular follow up is needed to collect data on disease outcomes.
This document discusses different measures of morbidity including frequency, duration, and severity. Frequency is measured by incidence and prevalence. Incidence refers to new cases in a defined time period, while prevalence refers to all current cases. Duration is measured by disability rate and severity by case fatality rate. The document provides definitions and formulas for calculating incidence rate, point prevalence, and period prevalence. It also discusses factors that influence prevalence and the relationship between incidence and prevalence.
This document provides an overview of basic measurements used in epidemiology. It discusses tools like proportion, rate, and ratio. It also covers various measures of mortality like crude death rate, specific death rate, and proportional mortality rate. Measures of morbidity like incidence and prevalence are explained. The relationship between incidence and prevalence is described. Standardization techniques are introduced to make rates comparable between populations.
This document discusses bias and confounding in epidemiological studies. It defines bias as systematic error that results in incorrect estimation of exposure-outcome associations. Selection bias and information bias are two common types of bias. Confounding occurs when another exposure is associated with both the disease and exposure being studied, independently of the exposure-disease relationship. Methods to control for confounding include restriction, matching, randomization, stratification, and multivariate analysis at the design and analysis stages of a study.
This document discusses descriptive epidemiology and the concept of association vs causation. It defines descriptive epidemiology as describing the pattern of disease occurrence in a population. The key steps in a descriptive study are defining the population and disease, describing disease characteristics, measuring disease occurrence, comparing to other populations, and formulating hypotheses. Association means two variables occur together more than by chance, while causation means a change in one variable causes a change in the other. Causation can be direct, indirect, or spurious. Multifactorial diseases have multiple causal factors that interact. Determining causation from associations requires considering multiple types of evidence.
This document defines key terminology used in epidemiology and describes some important epidemiological methods. It defines epidemiology as the study of disease distribution and determinants in populations. Descriptive epidemiology organizes health data, while analytic epidemiology searches for causes and effects. Important measurements include rates, ratios and proportions to quantify disease frequency and distribution. Methods like incidence, prevalence, mortality and morbidity rates are used to measure disease occurrence and impact in populations.
Introduction to Epidemiology
History of Epidemiology.
Definition of Epidemiology and its components.
Epidemiological Basic concepts.
Aims of Epidemiology.
Ten Uses of Epidemiology.
Scope or The Areas of Application .
Types of Epidemiological Studies.
Standardization of rates by Dr. Basil TumainiBasil Tumaini
油
Standardization of rates by Dr. Basil Tumaini, presented during the residency at Muhimbili University of Health and Allied Sciences, Epidemiology class
History Of Epidemiology for Graduate and Postgraduate studentsTauseef Jawaid
油
This document provides a summary of the history of epidemiology from ancient times to the present. It describes key figures and discoveries such as Hippocrates' association of disease with environment, Jenner's pioneering of vaccination, Snow's mapping of a cholera outbreak to a contaminated well. More recent developments discussed include the founding of the U.S. Public Health Service, landmark studies like the Tuskegee syphilis study, and future challenges of globalization and overcrowding facilitating disease spread.
Incidence refers to the rate of new cases of a disease occurring in a population over a specified period of time. It is calculated by taking the number of new cases (the numerator) divided by the total person-time at risk (the denominator) and multiplying by a standard rate. The denominator considers the total time each person in the population is observed and disease-free. Incidence provides information about the risk of developing a new disease and is used to compare disease burden between populations or time periods.
Epidemiology is defined as the study of health and disease in populations. It examines the patterns and causes of disease distribution. Key terms include epidemic, which is a disease rate above normal; endemic, a usual disease rate; and pandemic, a global epidemic. Epidemiology is used to study disease history, assess community health needs, estimate individual disease risk, identify disease causes, and guide prevention efforts. Prevention includes primary prevention to stop disease onset, secondary prevention to halt early disease progression, and tertiary prevention to reduce disability from established disease.
This document discusses epidemiological methods for studying the distribution and determinants of health events and applying that knowledge to disease control. It defines descriptive epidemiology as the study of disease occurrence, distribution, and patterns in populations. Descriptive methods are observational and can be cross-sectional or longitudinal. Descriptive epidemiology provides insights into disease frequency, trends, and risk factors to inform public health planning and resource allocation.
This document discusses various types of biases that can occur in epidemiological studies. It defines bias as systematic error that results in an incorrect estimate of the association between exposure and disease. Several types of biases are described, including selection bias, information bias, and confounding. Selection bias occurs when the study population is not representative of the target population and can arise from inappropriate definitions of eligibility, sampling frames, or follow-up. Information bias results from inaccurate or missing data.
This document discusses various measures used to quantify drug use and outcomes in pharmacoepidemiological studies. It describes prevalence as the proportion of people with a disease or exposed to a drug at a given time. Incidence is the number of new cases within a time period, while incidence rate is the number of new cases per unit of person-time at risk. Drug use is commonly measured by the number of prescriptions, units of drug dispensed, defined daily doses which estimates average maintenance dose, and prescribed daily doses which is the average dose actually prescribed. Adherence is often measured through biological assays, pill counts, pharmacy records, and patient interviews.
Measurements of morbidity and mortality
At the end of the session, the students shall be able to
List the basic measurements in epidemiology
Select an appropriate tools of measurement
Measure morbidity & mortality
Perform standardization of rates
Descriptive epidemiological studies are used to:
1. Document the distribution and determinants of health-related events in populations without attempting to infer causality.
2. Describe patterns of disease by person, place, and time to identify potential risk factors and generate hypotheses.
3. Provide baseline data on diseases, health conditions, and their risk factors that can be used to plan interventions and evaluate control programs.
This document discusses definitions and concepts in epidemiology. It provides historical definitions of epidemiology from various scholars and outlines key aspects including disease frequency, distribution, and determinants. Descriptive epidemiology is introduced as the initial phase of epidemiological investigation that describes disease occurrence in terms of time, place, and person. Key measures like incidence, prevalence, rates, and ratios are also defined.
This document provides an overview of key concepts in epidemiology. It defines epidemiology as the study of frequency, distribution, and determinants of diseases and health conditions in populations along with applying this study to disease prevention and health promotion. The document also describes the components of epidemiology, its history, scope, purpose, types (descriptive and analytic), basic assumptions, features, disease causation theories and models, the natural history of diseases, levels of disease prevention, and the infectious disease process.
An overview of a key statistical technique in epidemiology standardization - is introduced. The process and application of both direct and indirect standardization in improving the validity of comparisons between populations are described.
This document discusses and compares monitoring and surveillance in veterinary epidemiology. It defines surveillance as a more intensive form of monitoring that involves the gathering, analysis, and dissemination of disease data to support control actions. The key differences provided are that surveillance requires professional analysis and judgment to make recommendations, has formulated standards, and can differentiate between acceptable and unacceptable changes in disease status. Various types of surveillance systems and their uses in disease control planning and evaluation are also outlined.
Descriptive epidemiology is the first phase of an epidemiological investigation concerned with observing disease distribution in a population and identifying associated characteristics. It involves defining the population and disease, describing disease occurrence in terms of time, place and person, measuring disease burden, comparing data to known indices, and formulating hypotheses about disease etiology. The steps include defining the population and disease under study, describing patterns of occurrence by time, location and personal attributes, measuring disease incidence and prevalence, and developing hypotheses to explain observed patterns and suggest preventive measures.
This document discusses disease surveillance and the concept of a public health ecosystem. It describes key aspects of public health including promoting healthy lifestyles, researching disease prevention, and controlling infectious diseases. Disease surveillance is highlighted as a core public health function. An ideal public health information ecosystem is proposed, with different components like surveillance, immunization, and environmental health. The document explores what disease surveillance entails and presents the idea of a disease surveillance ecosystem that brings together different stakeholders like epidemiologists, nurses, and laboratory staff. It addresses current gaps and ways to prioritize and fill them. Finally, it considers exercises around building an ideal disease surveillance team and responding to syndromic surveillance alerts.
This document outlines the steps in conducting a cohort study. It defines a cohort as a group of people who share a common characteristic or experience within a defined time period. The key elements of a cohort study discussed are: selection of study subjects, obtaining data on exposure levels, selection of comparison groups, follow up of participants, and analysis of disease outcomes between exposed and unexposed groups to determine the strength of any association. Regular follow up is needed to collect data on disease outcomes.
This document discusses different measures of morbidity including frequency, duration, and severity. Frequency is measured by incidence and prevalence. Incidence refers to new cases in a defined time period, while prevalence refers to all current cases. Duration is measured by disability rate and severity by case fatality rate. The document provides definitions and formulas for calculating incidence rate, point prevalence, and period prevalence. It also discusses factors that influence prevalence and the relationship between incidence and prevalence.
This document provides an overview of basic measurements used in epidemiology. It discusses tools like proportion, rate, and ratio. It also covers various measures of mortality like crude death rate, specific death rate, and proportional mortality rate. Measures of morbidity like incidence and prevalence are explained. The relationship between incidence and prevalence is described. Standardization techniques are introduced to make rates comparable between populations.
This document discusses bias and confounding in epidemiological studies. It defines bias as systematic error that results in incorrect estimation of exposure-outcome associations. Selection bias and information bias are two common types of bias. Confounding occurs when another exposure is associated with both the disease and exposure being studied, independently of the exposure-disease relationship. Methods to control for confounding include restriction, matching, randomization, stratification, and multivariate analysis at the design and analysis stages of a study.
This document discusses descriptive epidemiology and the concept of association vs causation. It defines descriptive epidemiology as describing the pattern of disease occurrence in a population. The key steps in a descriptive study are defining the population and disease, describing disease characteristics, measuring disease occurrence, comparing to other populations, and formulating hypotheses. Association means two variables occur together more than by chance, while causation means a change in one variable causes a change in the other. Causation can be direct, indirect, or spurious. Multifactorial diseases have multiple causal factors that interact. Determining causation from associations requires considering multiple types of evidence.
This document defines key terminology used in epidemiology and describes some important epidemiological methods. It defines epidemiology as the study of disease distribution and determinants in populations. Descriptive epidemiology organizes health data, while analytic epidemiology searches for causes and effects. Important measurements include rates, ratios and proportions to quantify disease frequency and distribution. Methods like incidence, prevalence, mortality and morbidity rates are used to measure disease occurrence and impact in populations.
Introduction to Epidemiology
History of Epidemiology.
Definition of Epidemiology and its components.
Epidemiological Basic concepts.
Aims of Epidemiology.
Ten Uses of Epidemiology.
Scope or The Areas of Application .
Types of Epidemiological Studies.
This document provides an overview of modern epidemiology. It defines epidemiology as the study of the occurrence and distribution of health-related diseases or events in populations, including their determinants and control. The purposes of epidemiology are described as investigating disease extent and priorities, studying disease progression, identifying causes and risks, recommending interventions, and informing public policy. John Snow is highlighted for his work tracing a cholera outbreak that improved public health systems.
epidemiology with part 2 (complete) 2.pptAmosWafula3
油
This document provides an overview of epidemiology. It begins by defining epidemiology as the study of what falls upon populations in terms of health and disease. A modern definition is provided that describes epidemiology as studying the distribution and determinants of health states in populations.
The objectives and purposes of epidemiology are then outlined, which include describing disease distribution and magnitude, identifying risk factors, providing data for prevention/control programs, and recommending interventions. Key epidemiological terms like incidence, prevalence, endemic, epidemic, and pandemic are also defined. Descriptive and analytical study designs commonly used in epidemiology like cross-sectional and case-control studies are described. The document concludes by contrasting the approaches of epidemiology versus clinical medicine
Epidemiology is defined as the study of the distribution and determinants of health-related states or events in populations, and the application of this study to control health problems. It aims to describe the distribution and magnitude of health problems, identify factors involved in disease causation, and provide data to plan, implement and evaluate prevention and control efforts. Epidemiology provides a framework and methodology for community health nurses to assess community health needs, evaluate nursing services, and investigate and address health problems in populations.
This document provides an introduction to the basic concepts of epidemiology. It defines epidemiology as the study of patterns, causes, and effects of health and disease conditions in populations. The aims of epidemiology are to describe disease distribution and frequency, identify risk factors, and provide data to prevent and control diseases. Epidemiologists make comparisons between groups with and without disease exposure to identify determinants and test hypotheses. Basic measurements in epidemiology include mortality, morbidity, disability, and the distribution of disease and risk factors. Rates, ratios, and proportions are key tools used to measure and express disease frequency in populations.
Epidemiology and preventive veterinary medicine.docx1Arjun Chapagain
油
The document provides an overview of preventive veterinary medicine and epidemiology. It defines preventive veterinary medicine as dealing with infectious diseases, their occurrence in animal populations, and methods of prevention and control. Epidemiology is introduced as the study of disease distribution and determinants in populations. The document then discusses key epidemiological concepts like agents, hosts, and the environment. It also outlines the objectives, scope, aims, methods, and applications of epidemiology, providing definitions for important epidemiological terminology.
This document provides an overview of epidemiological methods and concepts. It defines epidemiology as the study of disease distribution, determinants, and control in populations. Key concepts discussed include agents, hosts, and environments that influence disease occurrence. Descriptive epidemiology aims to describe disease distribution by time, place and person, while analytical epidemiology identifies risk factors. Observational and experimental study designs are classified. The document outlines the scope, aims, history and uses of epidemiology to understand and control health problems.
Epidemiology is the study of the distribution and determinants of health-related states or events in specified populations, and the application of this study to the control of health problems. It investigates how disease spreads and is caused. The key factors that influence disease transmission include characteristics of the infectious agent, environmental factors that support the agent, and characteristics of the host that influence susceptibility.
The document provides an overview of epidemiology including:
- The definition and origins of epidemiology as the study of disease distribution and determinants in populations.
- Key concepts in epidemiology including rates, ratios, proportions, mortality, morbidity, incidence, prevalence and descriptive vs analytical study methods.
- Descriptive studies examine disease frequency and distribution by person, place and time to identify potential risk factors. Analytical studies further test hypothesized associations between suspected causes and effects.
- Examples of rates and ratios used to measure disease occurrence include crude death rates, case fatality rates, and proportional mortality rates. Incidence and prevalence are used to measure disease frequency and burden.
statistical methods in epidemiology.pptxAnusha Are
油
This document discusses key concepts and measurements used in statistical epidemiology. It defines epidemiology as the study of disease patterns in populations and notes its importance for public health. Some key measurements covered include incidence rate, prevalence, relative risk, attributable risk, and attributable fraction. Incidence rate measures new cases over time, while prevalence looks at total current cases. Relative risk compares risk between exposed and unexposed groups. Attributable risk is the difference in rates between groups, and attributable fraction shows the proportion of disease from an exposure.
Epidemiology is defined as the study of the distribution and determinants of health-related states or events in specified populations. It aims to describe disease frequency, distribution, and causative factors in order to provide data to plan, implement, and evaluate disease prevention and control programs. The epidemiological approach involves asking questions about health events and outcomes in populations, and making comparisons between groups with different exposures to identify risk factors and draw inferences about disease causation.
2. How these inferences are
arrived
Normal pulse rate 60-90/minute
Measles & chicken pox mostly occurs during
spring
Cancer of stomach more common in Japanese
Lung cancer is common among smokers
Paracetomol is 90% effective in headache
Metronidazole is effective against Amoebiasis
3. Epidemiology
What is epidemiology ?
We study health and disease
1. By observing individuals
2. By laboratory of experimental animals
3. By measuring the distribution of health
problem in population
Third one is epidemiology putting people into
groups
4. John snow- epidemic of
cholera
Located the home of each person of cholera
in London 1854
Found out association between source of
water supply and cholera
Cholera spread by contaminated water
before discovery of the organism of cholera
6. British Doctors Study
By Doll & Hill
The relationship between cigarette smoking
& lung cancer in 1950 a follow up study on
British doctors
7. Epidemiology
Epidemiology derived from Greek word
Epi-- on or upon
demos-- people
logos-- the study
The study upon the people or population
8. Definition
The study of the distribution and
determinants of health related states or
events in specified population, and the
application of this study to control of health
problems
Disease frequency
Disease distribution
Disease determinants
9. Disease frequency
Epidemiology is concerned with the frequency and
pattern of health events in a population
Measurements of frequency of disease, disability or
death in the form of rates and ratios
Rates are essential for the comparison of frequency
in different population
Comparison may yield important clue for the
etiology or formulation of etiological hypothesis
10. Distribution of disease
Time characteristics include annual occurrence,
seasonal occurrence and daily or even hourly
occurrence during an epidemic
Place characteristics include geographic variation,
urban- rural differences.
Personal characteristics include age, sex, race,
marital status, socioeconomic status, Behaviour and
environmental exposure
This aspect of study is called as descriptive study
11. Descriptive epidemiology provides what,
when, and where of health related events
What is the event or disease?
What is the magnitude?
When did it happen?
Where did it happen?
Who are affected?
The important out come distribution study is
formulation of etiological hypothesis
12. Determinants of disease
Test the etiological hypothesis and identify the
underlying causes or risk factors of disease
This aspect of epidemiology is Analytical
epidemiology
Which provides why and how of such events by
comparing groups with different rates of disease
occurrence.
By searching the differences in the characteristics
between the diseased and healthy
13. Making comparison
The basic approach in epidemiology is to
make comparison and draw conclusion
By comparison we try to find out curial
differences in the host and environmental
factors between those affected and not
affected
Basic tools of measurement are necessary
for the comparison rates, ratio and
proportion
14. Rate
There were 500 deaths from motor vehicle
accident in city A
In epidemiology compare the rates of
accident in city a with city B
Rate elements denominator, numerator,
time specification and multiplier.
Crude rates
Specific rates
Standardized rates
15. Ratio
Another measure of disease frequency
Shows the relation in size between two
quantities
The numerator not a component of the
denominator
Sex ratio, doctor population ratio, child
woman ratio etc.
16. Proportion
Shows the relation in magnitude of the part of
the whole
The numerator is always included in the
denominator
Proportional mortality rate
17. Measurements of mortality
Mortality data provides the starting point for
many epidemiological studies.
Mortality data is relatively easy to collect and
reasonably accurate
The basis of mortality data is the death
certificate
18. International death certificate
For national and international comparison a
standardized system of recording and
classification death
Part I deals with immediate
cause( pneumonia) and underlying cause of
death( strangulated hernia)
Part II deals with associated disease that
contributed to the death( diabetes)
19. Limitation of mortality data
Incomplete reporting of death
Lack of accuracy
Lack of uniformity
Choosing a single cause of death
Changing coding system
Diseases with low fatality
20. Uses mortality data
Can explain the trends and differences in
overall mortality
Help in prioritization for health action
Allocation of scares resource
For assessment and monitoring of public
health programmes
Gives important clue for epidemiological
research
21. Commonly used mortality
rates and ratio
Crude death rate simplest measure, lack
comparability
Specific death rate age, disease, income, religion
etc.
Case fatality- killing power of disease for acute and
not chronic
Proportional mortality rate cause, age etc. can be
used when population data are not available
Survival rate- usually for five years
Standardized rates direct and indirect
22. Measurements of morbidity
Any departure, subjective or objective, from
a state of physiological well-being
Sickness, illness, disability
Measured by
1. Persons who are ill
2. Illness frequency( spells of illness)
3. The duration
23. Incidence rate
The number of NEW cases occurring in a
defined population during a specific period of
time.
Incidence
Number of new cases of specific
Disease during a given time period
Population at risk during that period
X 1000
24. Uses of incidence rate
Taking action to control disease
Research into the etiology or causation
Research into the pathogenesis
Studying distribution of disease
Test the efficacy of preventive and
therapeutic measures
Used for formulating and testing the
hypothesis
25. Special incidence rates
Attack rate
Used only when the population is exposed to
risk for a limited period of time such as during
an epidemic
Usually expressed as a percentage
26. Secondary attack rate
The number of exposed person developing
the disease within the range of the incubation
period following exposure to primary case
SAR
Number of exposed person developing the disease
within the range of the incubation period
Total number of exposed/ susceptible contacts
X100
27. Secondary Attack Rate
Limited to application in infectious diseases
In disease where there are numerous sub-
clinical cases
Useful to determine the disease of unknown
etiology is communicable or not
Useful in evaluating the effectiveness of
control measures immunization
28. Prevalence
All current cases ( old or new) existing at a
given point of time or over a period of time in
a given population
Point prevalence
Period prevalence
29. Start of illness
Duration of illness
Incidence - case 3,4,5 & 8
Jan 1 Dec 31
Case 1
Case 2
Case 3
Case 4
Case 5
Case 6
Case 7
Case 8
Point prevalence Jan 1- 1, 2 & 7
Point prevalence Dec 31- 1,3,5 & 8 Period prevalence Jan-Dec- 1,2,3,4,5,7,&8
Number of cases Jan- Dec
30. Relationship between prevalence &
incidence
Depends upon two factors, incidence &
duration
P = I X D
Prevalence = incidence X mean duration
Longer the duration of the disease the greater the prevalence
A decrease in incidence & duration will decrease prevalence
31. For chronic diseases (TB)- high
prevalence rate relative to incidence
For acute diseases ( food poisoning,
diarrhoea)- prevalence is relatively low
compared to incidence
For acute disease- no prevalence ( No of
episodes)
Treatment decreasing the duration will
decrease the prevalence
Treatment preventing death but no
recovery will increase the prevalence
32. Uses of prevalence
To estimate the magnitude of
health/disease problems in a community
Identify potential high risk population
Useful for administrative & planning
purpose ( No of hospital beds, man power
need, rehabilitation facilities)
33. Aims of epidemiology
To describe the distribution and magnitude of
health and disease problem in human
population
To identify etiological factors in the
pathogenesis of disease
To provide data essential to the planning,
implementation and evaluation of services for
the prevention, control and treatment of
disease and setting up priorities
34. Epidemiology and Clinical
medicine
Epidemiology Clinical medicine
Population at risk Case or cases
Both sick and healthy Only sick
Relevant data by studying group or
population
History taking Sign and
symptoms Lab investigation
Patient comes to the doctor Investigator goes to the
community
A knowledge of prevalence, etiology and prognosis derived from
epidemiological research is important to the clinician for the
diagnosis and management of individual patient