Morbidity has been defined as any departure, subjective or objective, from a state of physiological or psychological well-being. In practice, morbidity encompasses disease, injury, and disability.
This document defines key terms related to measuring morbidity, including morbidity, incidence rates, prevalence rates, and risk. It discusses the differences between incidence and prevalence, problems that can occur with numerators and denominators, and factors that can affect prevalence rates such as immigration, emigration, and cure rates. Formulas for calculating incidence rates and examples of morbidity statistics from clinical reports and surveys are also presented.
The document defines key epidemiological measures used to describe disease occurrence and impact, including prevalence, incidence, rates, and ratios. It provides examples of how to calculate and interpret these measures. The document concludes that prevalence describes the current disease burden, while incidence provides information on the risk of developing disease over time and is thus better suited for etiological studies.
Introduction to epidemiology and it's measurementswrigveda
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.
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.
Measures of mortality provide important information for epidemiological studies. They include crude death rate, specific death rates, case fatality rate, proportional mortality rate, and survival rate. Standardized rates allow for comparisons between populations with different age compositions. Some challenges include incomplete reporting, inaccurate information, and non-uniformity across locations. However, mortality measures are useful for explaining trends, prioritizing health issues, designing interventions, and assessing public health programs.
The document discusses various measures used to quantify disease occurrence and mortality rates. It defines key terms like prevalence, incidence, rates, ratios and standardized rates. Prevalence is a snapshot of disease at a point in time while incidence describes new cases occurring over time. Crude rates are calculated for the entire population while specific rates are for subpopulations. Standardized rates allow comparison between populations by adjusting for differences in age or other distributions. Methods like direct and indirect standardization are used to derive adjusted rates. Mortality data from vital statistics provides important public health indicators but has issues like accuracy of documentation and changing disease classifications over time.
Epidemiology lecture 2 measuring disease frequencyINAAMUL HAQ
This document discusses measuring disease frequency in epidemiology. It defines key terms like incidence, prevalence, population at risk, and rates. Incidence refers to new cases in a specified time period, while prevalence looks at total current cases. Prevalence can be point prevalence (at a point in time), period prevalence (over a specified time period), or lifetime prevalence. The document provides examples of calculating prevalence from population data and discusses how prevalence is used to understand disease burden and plan health services.
This document defines key terms related to measuring morbidity, including morbidity, incidence rates, prevalence rates, and risk. It discusses the differences between incidence and prevalence, problems that can occur with numerators and denominators, and factors that can affect prevalence rates such as immigration, emigration, and cure rates. Formulas for calculating incidence rates and examples of morbidity statistics from clinical reports and surveys are also presented.
The document defines key epidemiological measures used to describe disease occurrence and impact, including prevalence, incidence, rates, and ratios. It provides examples of how to calculate and interpret these measures. The document concludes that prevalence describes the current disease burden, while incidence provides information on the risk of developing disease over time and is thus better suited for etiological studies.
Introduction to epidemiology and it's measurementswrigveda
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.
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.
Measures of mortality provide important information for epidemiological studies. They include crude death rate, specific death rates, case fatality rate, proportional mortality rate, and survival rate. Standardized rates allow for comparisons between populations with different age compositions. Some challenges include incomplete reporting, inaccurate information, and non-uniformity across locations. However, mortality measures are useful for explaining trends, prioritizing health issues, designing interventions, and assessing public health programs.
The document discusses various measures used to quantify disease occurrence and mortality rates. It defines key terms like prevalence, incidence, rates, ratios and standardized rates. Prevalence is a snapshot of disease at a point in time while incidence describes new cases occurring over time. Crude rates are calculated for the entire population while specific rates are for subpopulations. Standardized rates allow comparison between populations by adjusting for differences in age or other distributions. Methods like direct and indirect standardization are used to derive adjusted rates. Mortality data from vital statistics provides important public health indicators but has issues like accuracy of documentation and changing disease classifications over time.
Epidemiology lecture 2 measuring disease frequencyINAAMUL HAQ
This document discusses measuring disease frequency in epidemiology. It defines key terms like incidence, prevalence, population at risk, and rates. Incidence refers to new cases in a specified time period, while prevalence looks at total current cases. Prevalence can be point prevalence (at a point in time), period prevalence (over a specified time period), or lifetime prevalence. The document provides examples of calculating prevalence from population data and discusses how prevalence is used to understand disease burden and plan health services.
Standardization of rates by Dr. Basil TumainiBasil Tumaini
Standardization of rates by Dr. Basil Tumaini, presented during the residency at Muhimbili University of Health and Allied Sciences, Epidemiology class
This document provides an overview of DALYs (Disability-Adjusted Life Years) and QALYs (Quality-Adjusted Life Years), which are measurements used to calculate the quality and quantity of life. DALYs measure overall disease burden in terms of years of life lost due to ill-health, disability or early death. QALYs measure effectiveness of treatments by combining quality and length of life. Both methods assign a weight between 0 and 1 to different health states, with 0 representing death and 1 representing perfect health. The document discusses the calculation and uses of DALYs and QALYs, and highlights some differences and criticisms of the approaches.
This document defines and provides examples of key measures used to describe disease frequency in populations, including ratios, proportions, rates, odds, prevalence, and incidence. It discusses how prevalence represents the number of cases at a point in time, while incidence represents new cases over a period of time. Examples are provided to demonstrate calculating measures like cumulative incidence, incidence density, and attack rate. The relationship between incidence and prevalence over time is also explained.
This document provides an overview of epidemic investigation. It begins with definitions of key terms like epidemic, outbreak, endemic, and pandemic. It describes the objectives of epidemic investigation as defining the scope and identifying the causative agent. The steps in an investigation are outlined as verifying diagnoses, defining the population at risk, analyzing data, formulating hypotheses, and writing a report. Recent outbreaks around the world are briefly discussed.
The document discusses the epidemiologic transition, which describes the transition of major causes of death from infectious diseases to chronic and degenerative diseases as populations adopt behaviors associated with economic development and improved living standards. It describes three models of transition - the classic Western model over 200 years, an accelerated model in places like Japan and Eastern Europe, and a delayed model in most low-income developing countries since WWII. The transition is accompanied by changes in mortality and morbidity patterns, as well as demographic changes as fertility declines and populations age.
Ecological study designs provide a way to study the effects of environmental exposures on health outcomes when it is difficult to obtain individual-level exposure data. Ecological studies observe associations between disease rates and exposure levels among groups rather than individuals. They can generate hypotheses about disease etiology and evaluate the impact of interventions. However, ecological studies have limitations as they do not measure exposures or health outcomes at the individual level.
- Cluster randomization trials are experiments where intact social units like medical practices, communities, or hospitals are randomly assigned to intervention groups rather than independent individuals. This is done when the intervention is naturally applied at a cluster level or to avoid treatment contamination between groups.
- Challenges of cluster randomization trials include having a unit of randomization that differs from the unit of analysis and reduced power due to intracluster correlation. Statistical methods like mixed models that account for clustering are needed to properly analyze results.
- Proper sample size calculations are also more complex in cluster randomization trials due to the need to adjust for the intracluster correlation coefficient and design effect. Ensuring enough clusters are enrolled is important to maintain adequate power
Attributable risk and population attributable riskAbino David
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.
This document discusses the concepts of association and causation in epidemiology. It defines key terms like correlation, relative risk, odds ratio, and attributable risk which are used to measure the strength of association between different factors. It also differentiates between association and causation, explaining that correlation does not necessarily imply causation. The document outlines different types of causal relationships like necessary and sufficient, necessary but not sufficient, and neither necessary nor sufficient. It also discusses approaches used to study disease etiology and evaluate evidence for a causal relationship.
This document discusses various measurement tools used in epidemiology including rates, ratios, proportions, prevalence, and incidence. It provides examples of how to calculate crude rates, specific rates, ratios, and proportions. Prevalence refers to all existing cases at a point in time or over a period of time. Incidence refers only to new cases occurring over a time period. Relationships between incidence, prevalence, and duration of disease are also examined.
An attack rate is a measure of the frequency of new cases of a disease in a defined population over a specific time period, such as during an epidemic, and is usually expressed as a percentage. A secondary attack rate specifically measures the frequency of new cases among contacts of known cases. A risk ratio compares the risk of an health event between two groups, such as exposed vs unexposed groups, and is used to measure the impact of a risk factor. The attributable proportion also measures the public health impact of a risk factor by comparing the risk in an exposed group to the expected baseline risk in an unexposed group. Mortality rates are measures of frequency of death in a population, including crude mortality rate, cause-specific rates, and
This document defines and explains various measures used in epidemiology to quantify health and disease in populations, including:
- Counts, proportions, ratios, and rates to describe disease frequency and burden
- Crude birth rate, crude death rate, infant mortality rate, and maternal mortality rate as examples of key demographic measures
- Incidence, prevalence, and their relationship in quantifying disease occurrence over time
Epidemiology is 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. The basic measurements used in epidemiology include rates, ratios, and proportions to describe the occurrence of mortality, morbidity, disability, and other disease attributes in populations. Rates express the frequency of events over time, proportions express the relationship between parts and the whole, and ratios compare two rates or quantities. These measurements are essential tools for epidemiologists to investigate disease causation, describe population health status, and evaluate interventions.
This document discusses various measures used to quantify disease frequency in epidemiology. It describes measures of morbidity including incidence, prevalence, and disability rates. Incidence measures new cases over time while prevalence measures total current cases. Disability rates quantify limitations in activities. Measures of mortality are also presented, such as crude death rate, case fatality rate, and standardized mortality ratio. Standardization adjusts for differences in population characteristics to allow valid comparisons. Overall, the document provides an overview of key epidemiological metrics for quantifying disease burden and guiding public health efforts.
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.
Introduction to Epidemiology
At the end of this session the participants will be able to:
Discuss the historical evolution of epidemiology
Explain the usage of epidemiology
List the core epidemiological functions
Explain types of epidemiological studies
This document provides information about disability adjusted life years (DALYs), including:
- Background on the development of DALYs by researchers at Harvard University and WHO.
- Key components and principles of calculating DALYs such as years of life lost (YLL) and years lived with disability (YLD).
- Formulas and examples for calculating DALYs that incorporate factors like standard life expectancy, age weights, discount rates, and disability weights.
- Estimated DALYs for leading causes of disease burden worldwide and for Bangladesh from the 1990 Global Burden of Disease study.
Clinical epidemiology investigates and controls the distribution and determinants of disease. It seeks to answer clinical questions and guide clinical decisions using evidence. Clinical epidemiology uses epidemiological methods to make predictions about individual patients by studying outcomes in similar patients groups. It aims to develop valid conclusions and avoid bias or chance influencing clinical observations and interpretations. Key elements include expressing probabilities for individual patients based on past groups, accounting for systematic errors and chance in observations, and relying on scientifically sound principles.
Here are the steps to calculate the cumulative incidence from month 0 to 6 using the actuarial method:
1. Set up a table with time intervals (months 0 to 6)
2. Fill in the number at risk at each interval (N'0j)
3. Fill in any incident cases (Ij) and withdrawals (Wj) that occur during each interval
4. Calculate the risk for each interval (R(tj-1,tj)) as Ij/(N'0j - Wj/2)
5. Calculate the survival for each interval (S(tj-1,tj)) as 1 - R(tj-1,tj)
6. Calculate the cumulative
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.
tHESE SLIDES ARE PREPAREED TO UNDERSTAND about DISPOSAL OF WASTE IN EASY WAY Important links- NOTES- https://mynursingstudents.blogspot.com/ youtube channel https://www.youtube.com/c/MYSTUDENTSU... CHANEL PLAYLIST- ANATOMY AND PHYSIOLOGY-https://www.youtube.com/playlist?list=PL93S13oM2gAPM3VTGVUXIeswKJ3XGaD2p COMMUNITY HEALTH NURSING- https://www.youtube.com/playlist?list=PL93S13oM2gAPyslPNdIJoVjiXEDTVEDzs CHILD HEALTH NURSING- https://www.youtube.com/playlist?list=PL93S13oM2gANcslmv0DXg6BWmWN359Gvg FIRST AID- https://www.youtube.com/playlist?list=PL93S13oM2gAMvGqeqH2ZTklzFAZhOrvgP HCM- https://www.youtube.com/playlist?list=PL93S13oM2gAM7mZ1vZhQBHWbdLnLb-cH9 FUNDAMENTALS OF NURSING- https://www.youtube.com/playlist?list=PL93S13oM2gAPFxu78NDLpGPaxEmK1fTao COMMUNICABLE DISEASES- https://www.youtube.com/playlist?list=PL93S13oM2gAOWo4IwNjLU_LCuhRN0ZLeb ENVIRONMENTAL HEALTH- https://www.youtube.com/playlist?list=PL93S13oM2gAPkI6LvfS8Zu1nm6mZi9FK6 MSN- https://www.youtube.com/playlist?list=PL93S13oM2gAOdyoHnDLAoR_o8M6ccqYBm HINDI ONLY- https://www.youtube.com/playlist?list=PL93S13oM2gAN4L-FJ3s_IEXgZCijGUA1A ENGLISH ONLY- https://www.youtube.com/playlist?list=PL93S13oM2gAMYv2a1hFcq4W1nBjTnRkHP facebook profile- https://www.facebook.com/suresh.kr.lrhs/ FACEBOOK PAGE- https://www.facebook.com/My-Student-S... facebook group NURSING NOTES- https://www.facebook.com/groups/24139... FOR MAKING EASY NOTES YOU CAN ALSO VISIT MY BLOG – BLOGGER- https://mynursingstudents.blogspot.com/ Instagram- https://www.instagram.com/mystudentsu... Twitter- https://twitter.com/student_system?s=08 #PEM, #ASHA,#EPIDEMIOLOGY,#ICDS,#nurses,#ASSESSMENT, #APPEARENCE,#PULSE,#GRIMACE,#REFLEX,#RESPIRATION,#RESUSCITATION,#NEWBORN,#BABY,#VIRGINIA, #CHILD, #OXYGEN,#CYANOSIS,#OPTICNERVE, #SARACHNA,#MYSTUDENTSUPPORTSYSTEM, #rashes,#nursingclasses, #communityhealthnursing,#ANM, #GNM, #BSCNURING,#NURSINGSTUDENTS, #WHO,#NURSINGINSTITUTION,#COLLEGEOFNURSING,#nursingofficer,#COMMUNITYHEALTHOFFICE
Topic 2 MEASURES OF DISEASE FREQUENCY.pptxkihembopamelah
Measures of disease frequency include incidence proportion, incidence rate, point prevalence, and period prevalence. Incidence proportion refers to the number of new cases of a disease in a population over time divided by the total population at risk. Incidence rate incorporates time into the denominator, using person-years at risk. It measures the number of new cases per unit of time. Prevalence measures the total number of cases, both new and existing, at a specific point in time or over a period of time divided by the total population. These measures are used to describe how common a disease is and identify potential causes.
Standardization of rates by Dr. Basil TumainiBasil Tumaini
Standardization of rates by Dr. Basil Tumaini, presented during the residency at Muhimbili University of Health and Allied Sciences, Epidemiology class
This document provides an overview of DALYs (Disability-Adjusted Life Years) and QALYs (Quality-Adjusted Life Years), which are measurements used to calculate the quality and quantity of life. DALYs measure overall disease burden in terms of years of life lost due to ill-health, disability or early death. QALYs measure effectiveness of treatments by combining quality and length of life. Both methods assign a weight between 0 and 1 to different health states, with 0 representing death and 1 representing perfect health. The document discusses the calculation and uses of DALYs and QALYs, and highlights some differences and criticisms of the approaches.
This document defines and provides examples of key measures used to describe disease frequency in populations, including ratios, proportions, rates, odds, prevalence, and incidence. It discusses how prevalence represents the number of cases at a point in time, while incidence represents new cases over a period of time. Examples are provided to demonstrate calculating measures like cumulative incidence, incidence density, and attack rate. The relationship between incidence and prevalence over time is also explained.
This document provides an overview of epidemic investigation. It begins with definitions of key terms like epidemic, outbreak, endemic, and pandemic. It describes the objectives of epidemic investigation as defining the scope and identifying the causative agent. The steps in an investigation are outlined as verifying diagnoses, defining the population at risk, analyzing data, formulating hypotheses, and writing a report. Recent outbreaks around the world are briefly discussed.
The document discusses the epidemiologic transition, which describes the transition of major causes of death from infectious diseases to chronic and degenerative diseases as populations adopt behaviors associated with economic development and improved living standards. It describes three models of transition - the classic Western model over 200 years, an accelerated model in places like Japan and Eastern Europe, and a delayed model in most low-income developing countries since WWII. The transition is accompanied by changes in mortality and morbidity patterns, as well as demographic changes as fertility declines and populations age.
Ecological study designs provide a way to study the effects of environmental exposures on health outcomes when it is difficult to obtain individual-level exposure data. Ecological studies observe associations between disease rates and exposure levels among groups rather than individuals. They can generate hypotheses about disease etiology and evaluate the impact of interventions. However, ecological studies have limitations as they do not measure exposures or health outcomes at the individual level.
- Cluster randomization trials are experiments where intact social units like medical practices, communities, or hospitals are randomly assigned to intervention groups rather than independent individuals. This is done when the intervention is naturally applied at a cluster level or to avoid treatment contamination between groups.
- Challenges of cluster randomization trials include having a unit of randomization that differs from the unit of analysis and reduced power due to intracluster correlation. Statistical methods like mixed models that account for clustering are needed to properly analyze results.
- Proper sample size calculations are also more complex in cluster randomization trials due to the need to adjust for the intracluster correlation coefficient and design effect. Ensuring enough clusters are enrolled is important to maintain adequate power
Attributable risk and population attributable riskAbino David
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.
This document discusses the concepts of association and causation in epidemiology. It defines key terms like correlation, relative risk, odds ratio, and attributable risk which are used to measure the strength of association between different factors. It also differentiates between association and causation, explaining that correlation does not necessarily imply causation. The document outlines different types of causal relationships like necessary and sufficient, necessary but not sufficient, and neither necessary nor sufficient. It also discusses approaches used to study disease etiology and evaluate evidence for a causal relationship.
This document discusses various measurement tools used in epidemiology including rates, ratios, proportions, prevalence, and incidence. It provides examples of how to calculate crude rates, specific rates, ratios, and proportions. Prevalence refers to all existing cases at a point in time or over a period of time. Incidence refers only to new cases occurring over a time period. Relationships between incidence, prevalence, and duration of disease are also examined.
An attack rate is a measure of the frequency of new cases of a disease in a defined population over a specific time period, such as during an epidemic, and is usually expressed as a percentage. A secondary attack rate specifically measures the frequency of new cases among contacts of known cases. A risk ratio compares the risk of an health event between two groups, such as exposed vs unexposed groups, and is used to measure the impact of a risk factor. The attributable proportion also measures the public health impact of a risk factor by comparing the risk in an exposed group to the expected baseline risk in an unexposed group. Mortality rates are measures of frequency of death in a population, including crude mortality rate, cause-specific rates, and
This document defines and explains various measures used in epidemiology to quantify health and disease in populations, including:
- Counts, proportions, ratios, and rates to describe disease frequency and burden
- Crude birth rate, crude death rate, infant mortality rate, and maternal mortality rate as examples of key demographic measures
- Incidence, prevalence, and their relationship in quantifying disease occurrence over time
Epidemiology is 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. The basic measurements used in epidemiology include rates, ratios, and proportions to describe the occurrence of mortality, morbidity, disability, and other disease attributes in populations. Rates express the frequency of events over time, proportions express the relationship between parts and the whole, and ratios compare two rates or quantities. These measurements are essential tools for epidemiologists to investigate disease causation, describe population health status, and evaluate interventions.
This document discusses various measures used to quantify disease frequency in epidemiology. It describes measures of morbidity including incidence, prevalence, and disability rates. Incidence measures new cases over time while prevalence measures total current cases. Disability rates quantify limitations in activities. Measures of mortality are also presented, such as crude death rate, case fatality rate, and standardized mortality ratio. Standardization adjusts for differences in population characteristics to allow valid comparisons. Overall, the document provides an overview of key epidemiological metrics for quantifying disease burden and guiding public health efforts.
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.
Introduction to Epidemiology
At the end of this session the participants will be able to:
Discuss the historical evolution of epidemiology
Explain the usage of epidemiology
List the core epidemiological functions
Explain types of epidemiological studies
This document provides information about disability adjusted life years (DALYs), including:
- Background on the development of DALYs by researchers at Harvard University and WHO.
- Key components and principles of calculating DALYs such as years of life lost (YLL) and years lived with disability (YLD).
- Formulas and examples for calculating DALYs that incorporate factors like standard life expectancy, age weights, discount rates, and disability weights.
- Estimated DALYs for leading causes of disease burden worldwide and for Bangladesh from the 1990 Global Burden of Disease study.
Clinical epidemiology investigates and controls the distribution and determinants of disease. It seeks to answer clinical questions and guide clinical decisions using evidence. Clinical epidemiology uses epidemiological methods to make predictions about individual patients by studying outcomes in similar patients groups. It aims to develop valid conclusions and avoid bias or chance influencing clinical observations and interpretations. Key elements include expressing probabilities for individual patients based on past groups, accounting for systematic errors and chance in observations, and relying on scientifically sound principles.
Here are the steps to calculate the cumulative incidence from month 0 to 6 using the actuarial method:
1. Set up a table with time intervals (months 0 to 6)
2. Fill in the number at risk at each interval (N'0j)
3. Fill in any incident cases (Ij) and withdrawals (Wj) that occur during each interval
4. Calculate the risk for each interval (R(tj-1,tj)) as Ij/(N'0j - Wj/2)
5. Calculate the survival for each interval (S(tj-1,tj)) as 1 - R(tj-1,tj)
6. Calculate the cumulative
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.
tHESE SLIDES ARE PREPAREED TO UNDERSTAND about DISPOSAL OF WASTE IN EASY WAY Important links- NOTES- https://mynursingstudents.blogspot.com/ youtube channel https://www.youtube.com/c/MYSTUDENTSU... CHANEL PLAYLIST- ANATOMY AND PHYSIOLOGY-https://www.youtube.com/playlist?list=PL93S13oM2gAPM3VTGVUXIeswKJ3XGaD2p COMMUNITY HEALTH NURSING- https://www.youtube.com/playlist?list=PL93S13oM2gAPyslPNdIJoVjiXEDTVEDzs CHILD HEALTH NURSING- https://www.youtube.com/playlist?list=PL93S13oM2gANcslmv0DXg6BWmWN359Gvg FIRST AID- https://www.youtube.com/playlist?list=PL93S13oM2gAMvGqeqH2ZTklzFAZhOrvgP HCM- https://www.youtube.com/playlist?list=PL93S13oM2gAM7mZ1vZhQBHWbdLnLb-cH9 FUNDAMENTALS OF NURSING- https://www.youtube.com/playlist?list=PL93S13oM2gAPFxu78NDLpGPaxEmK1fTao COMMUNICABLE DISEASES- https://www.youtube.com/playlist?list=PL93S13oM2gAOWo4IwNjLU_LCuhRN0ZLeb ENVIRONMENTAL HEALTH- https://www.youtube.com/playlist?list=PL93S13oM2gAPkI6LvfS8Zu1nm6mZi9FK6 MSN- https://www.youtube.com/playlist?list=PL93S13oM2gAOdyoHnDLAoR_o8M6ccqYBm HINDI ONLY- https://www.youtube.com/playlist?list=PL93S13oM2gAN4L-FJ3s_IEXgZCijGUA1A ENGLISH ONLY- https://www.youtube.com/playlist?list=PL93S13oM2gAMYv2a1hFcq4W1nBjTnRkHP facebook profile- https://www.facebook.com/suresh.kr.lrhs/ FACEBOOK PAGE- https://www.facebook.com/My-Student-S... facebook group NURSING NOTES- https://www.facebook.com/groups/24139... FOR MAKING EASY NOTES YOU CAN ALSO VISIT MY BLOG – BLOGGER- https://mynursingstudents.blogspot.com/ Instagram- https://www.instagram.com/mystudentsu... Twitter- https://twitter.com/student_system?s=08 #PEM, #ASHA,#EPIDEMIOLOGY,#ICDS,#nurses,#ASSESSMENT, #APPEARENCE,#PULSE,#GRIMACE,#REFLEX,#RESPIRATION,#RESUSCITATION,#NEWBORN,#BABY,#VIRGINIA, #CHILD, #OXYGEN,#CYANOSIS,#OPTICNERVE, #SARACHNA,#MYSTUDENTSUPPORTSYSTEM, #rashes,#nursingclasses, #communityhealthnursing,#ANM, #GNM, #BSCNURING,#NURSINGSTUDENTS, #WHO,#NURSINGINSTITUTION,#COLLEGEOFNURSING,#nursingofficer,#COMMUNITYHEALTHOFFICE
Topic 2 MEASURES OF DISEASE FREQUENCY.pptxkihembopamelah
Measures of disease frequency include incidence proportion, incidence rate, point prevalence, and period prevalence. Incidence proportion refers to the number of new cases of a disease in a population over time divided by the total population at risk. Incidence rate incorporates time into the denominator, using person-years at risk. It measures the number of new cases per unit of time. Prevalence measures the total number of cases, both new and existing, at a specific point in time or over a period of time divided by the total population. These measures are used to describe how common a disease is and identify potential causes.
This document discusses key concepts in statistical epidemiology including measures of disease frequency such as incidence rate and prevalence. It defines incidence rate as the number of new cases of a disease in a population over a time period, divided by the total population. Prevalence is defined as the total number of cases (new and existing) at a point in time, divided by the total population. Relative risk compares the risk of an event between exposed and unexposed groups, while attributable risk is the difference in risk between the two groups. Attributable fraction represents the proportion of disease cases among the exposed group that can be attributed to the exposure.
This document discusses various methods for measuring outcomes in pharmacoepidemiology studies. It describes measuring mortality, morbidity, disability, disease characteristics, and other factors. There are three levels of disablement that can be measured - impairment, activity limitation, and participation restriction. Common outcome measures include death, disease, discomfort, disability, and dissatisfaction. Outcome studies help evaluate the results and costs of healthcare interventions. Outcomes can be classified as clinical, functional status, patient satisfaction, economic, and humanistic measures. Rates, ratios, and proportions are common tools used to measure and analyze outcomes.
statistical methods in epidemiology.pptxAnusha Are
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.
The document discusses various health indicators used to measure mortality and morbidity in a population. It defines key mortality indicators like crude death rate, life expectancy, infant mortality rate, and maternal mortality rate. It also discusses limitations of mortality data and its uses. Morbidity indicators discussed include incidence rate, prevalence rate, and notification rate. The relationship between prevalence and incidence is explained. The document provides formulas to calculate various rates.
Mesurement of morbidity (prevalence) presentationDrsadhana Meena
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.
This document discusses various health indicators used to measure morbidity and mortality. It defines key terms like mortality, crude death rate, life expectancy. It also covers morbidity measures like prevalence, incidence and types of morbidity rates. Different rates are explained including infant, child, maternal and other cause-specific mortality rates. The importance and limitations of these indicators in understanding population health are also summarized.
Epidemiologists measure disease frequency and health status in populations using various metrics. Morbidity is measured using incidence rates which describe new cases over time. Incidence can be calculated as cumulative incidence from a stable population or incidence density using person-time. Mortality is measured using rates like crude death rate from the total population or age-adjusted rates to control for demographic factors. Rates express the probability of an event and are calculated by dividing the number of events by the population at risk over a specified time period.
Epidemiology is the study of disease frequency, distribution, and determinants in populations. Some key points about epidemiology include:
- It aims to describe disease problems, identify causes, and provide data to plan prevention and control efforts.
- Rates, ratios, and proportions are measurement tools used to compare disease occurrence between populations and time periods.
- Mortality data from death records can provide information about disease occurrence but have limitations like incomplete reporting.
- Morbidity data examines illness in populations and can be measured through incidence rates (new cases over time) and prevalence (all current cases).
- Descriptive studies examine disease frequency and distribution while analytical studies identify risk factors and experimental studies test hypotheses.
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 which describes the occurrence of disease by time, place, and person. Key measures like incidence, prevalence, rates, and ratios are also defined.
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.
Understanding epidemiology study in medical statisticsLaud Randy Amofah
An epidemiologist studies the distribution and determinants of diseases in human populations. They identify the causes of diseases and evaluate preventive and therapeutic measures. There are two main types of epidemiology - descriptive epidemiology examines disease distribution while analytic epidemiology tests hypotheses about disease causes and interventions. Observational studies include case-control studies, cohort studies, cross-sectional studies, and ecological studies. Epidemiologists measure disease occurrence through morbidity (prevalence and incidence) and mortality. Prevalence is the proportion of a population with a disease, while incidence is the proportion developing a disease over time.
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.
Morbidity (from Latin morbidus: sick, unhealthy) refers to having a disease or a symptom of disease, or to the amount of disease within a population.
Any departure, subjective or objective from a state of physiological well being.
Morbidity also refers to medical problems caused by a treatment.
It is usually represented or estimated using prevalence or incidence.
Epidemiology is the study of the distribution and determinants of health and disease in populations. It has evolved rapidly in recent decades from focusing only on disease distribution and causation to also examining health events, treatment modalities, and health services. Modern epidemiology identifies risk factors for chronic diseases and evaluates prevention and treatment options to improve population health.
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.
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Measures Of Morbidity
1. Measures Of Morbidity
- Ravi Prakash Verma
M.A. /M.Sc. 1st year
kriparavi@yahoo.com
International Institute for Population Sciences, Mumbai.
2. The study of Morbidity deals with the investigation of illness, sickness, ill-health or
disease in a population .
-Multilingual Demographic Dictionary
Morbidity is a extent of illness (disease), injury, or disability in a defined population.
-J. B. Stallman
Morbidity
3. Measures of Morbidity
The WHO expert committee on Health Statistics noted in its 6th report that
morbidity could be measured in terms of three units:
a) Person who were ill.
b) The illness (Periods /spells/illness) that diseased person experience.
c) The duration of these illness .
Source –WHO(1959)
4. Illness Exist in a given Time Period as follows;
Illness beginning during the period and ending during the period.
Illness beginning during the period and still existing at the end of the period
Illnesses existing before the beginning of the period and ending during the period
Illnesses existing before the beginning of the period and existing at the end of the period (Prakasam
2017)
Illness :Time Period
5. Disease , Illness or Sickness is measured by calculating;
Incidence Rate
Prevalence Rate: Period Prevalence Rate, Point Prevalence Rate
Attack Rate , Secondary Attack Rate
Case Fatality Rate
Duration Of illness / Sickness
Relative Risk , Attributable Risk and Odds Ratio
Other measures:
o Disability Rate
o HALE
o QALY
o DFLE
o DALY
Measures:
6. Incidence Rate is given by the following equation:
Number of new cases of specific,
Incidence rate (IR) =
𝑵𝒖𝒎𝒃𝒆𝒓 𝒐𝒇 𝒏𝒆𝒘 𝒄𝒂𝒔𝒆𝒔 𝒐𝒇 𝒔𝒑𝒆𝒄𝒊𝒇𝒊𝒄 𝑫𝒊𝒔𝒆𝒂𝒔𝒆 𝒅𝒖𝒓𝒊𝒏𝒈 𝒂 𝒈𝒊𝒗𝒆𝒏 𝒕𝒊𝒎𝒆 𝒑𝒆𝒓𝒊𝒐𝒅
𝑷𝒐𝒑𝒖𝒍𝒂𝒕𝒊𝒐𝒏 𝒂𝒕 𝒓𝒊𝒔𝒌 𝒅𝒖𝒓𝒊𝒏𝒈 𝒕𝒉𝒂𝒕 𝒑𝒆𝒓𝒊𝒐𝒅
× 𝟏𝟎𝟎𝟎
This measure is also discussed in the module on concepts of health.
INCIDENT RATE
8. Case 1
Case 2 Case 3
Case 4
Case 5
Case 6
Case 7
Case 8
start of illness
duration of illness
Jan 1 Dec 31
Incidence would be –
Point prevalence (Jan 1) –
Point prevalence (Dec 31) –
Period prevalence (Jan-Dec) –
cases 3, 4, 5 and 8
cases 1, 2, 7
cases 1, 3, 5 and 8
cases 1, 2, 3, 4, 5, 7, 8
9. 𝑷
(𝟏−𝑷)
=I× 𝑫
Where,
P = Proportion of total population with the disease and I is Incidence rate
1-P = Proportion of the total population without the disease
In situations where the number of persons with the disease in a population and without the disease are stable, then it
is referred to as a steady-state population. In such situations, the point prevalence of the disease (prevalence of the
disease at a particular point of time) is approximately equal to the incidence rate X the average duration of the disease.
P=I× 𝑫
Relationship between Prevalence and Incident
10. The attack rate the number of new cases of a particular disease during a particular time interval, to the total
population at risk of that particular disease in the same period of time, multiplied by 100. It is given by the equation:
Attack rate=
𝑵𝒖𝒎𝒃𝒆𝒓 𝒐𝒇 𝒏𝒆𝒘 𝒄𝒂𝒔𝒆𝒔 𝒐𝒇 𝒔𝒑𝒆𝒄𝒊𝒇𝒊𝒆𝒅 𝒅𝒊𝒔𝒆𝒂𝒔𝒆 𝒅𝒖𝒓𝒊𝒏𝒈 𝒊𝒕𝒔 𝒔𝒑𝒆𝒄𝒊𝒇𝒊𝒆𝒅 𝒕𝒊𝒎𝒆 𝒊𝒏𝒕𝒆𝒓𝒗𝒂𝒍
𝑻𝒐𝒕𝒂𝒍 𝑷𝒐𝒑𝒖𝒍𝒂𝒕𝒊𝒐𝒏 𝒂𝒕 𝒓𝒊𝒔𝒌 𝒅𝒖𝒓𝒊𝒏𝒈 𝒕𝒉𝒆 𝒔𝒂𝒎𝒆 𝒊𝒏𝒕𝒆𝒓𝒗𝒂𝒍
× 𝟏𝟎𝟎
ATTACK RATE
11. The number of exposed persons developing the disease within the range of the incubation period, following
exposure to the primary case” (GOI 2015).
The attack rate is based on spells of the disease rather than persons. It is generally used for infections of short
period of time as during an epidemic. It usually measures the spread of the infection after exposure to an initial
case (Indrayan N.D.).
The secondary attack rate is the number of exposed persons developing the disease within the range of the
incubation period to the total number of exposed to susceptible contact, multiplied by 100.
Secondary Attack Rate =
𝑵𝒖𝒎𝒃𝒆𝒓 𝒐𝒇 𝒆𝒙𝒑𝒐𝒔𝒆𝒅 𝒑𝒆𝒓𝒔𝒐𝒏𝒔 𝒅𝒆𝒗𝒍𝒐𝒑𝒊𝒏𝒈 𝒕𝒉𝒆 𝒅𝒊𝒔𝒆𝒂𝒔𝒆 𝒘𝒊𝒕𝒉𝒊𝒏 𝒕𝒉𝒆 𝒓𝒂𝒏𝒈𝒆 𝒐𝒇 𝒕𝒉𝒆 𝒊𝒏𝒄𝒖𝒃𝒂𝒕𝒊𝒐𝒏 𝒑𝒆𝒓𝒊𝒐𝒅
𝑻𝒐𝒕𝒂𝒍 𝑵𝒖𝒎𝒃𝒆𝒓 𝒐𝒇 𝒆𝒙𝒑𝒐𝒔𝒆𝒅 𝒔𝒖𝒔𝒄𝒆𝒑𝒕𝒊𝒃𝒍𝒆 𝒄𝒐𝒏𝒕𝒂𝒄𝒕
×100
Secondary Attack Rate
12. The duration of illness can be calculated in terms of the average duration of illness per person, per person sick, or spell,
and these are expressed by the following equations:
Average duration of illness per Person =
𝑻𝒐𝒕𝒂𝒍 𝒅𝒂𝒚𝒔 𝒐𝒇 𝒊𝒍𝒍𝒏𝒆𝒔𝒔
𝑻𝒐𝒕𝒂𝒍 𝒑𝒐𝒑𝒖𝒍𝒂𝒕𝒊𝒐𝒏 𝒆𝒙𝒑𝒐𝒔𝒆𝒅
Average duration of illness per person sick =
𝑻𝒐𝒕𝒂𝒍 𝑫𝒂𝒚𝒔 𝒐𝒇 𝒊𝒍𝒍𝒏𝒆𝒔𝒔 𝒐𝒇 𝒔𝒊𝒄𝒌 𝒑𝒆𝒓𝒔𝒐𝒏𝒔
𝑵𝒖𝒎𝒃𝒆𝒓 𝒐𝒇 𝒑𝒆𝒓𝒔𝒐𝒏𝒔 𝒇𝒆𝒍𝒍 𝒊𝒍𝒍
Average duration of illness Per Spell =
𝑻𝒐𝒕𝒂𝒍 𝒅𝒂𝒚𝒔 𝒐𝒇 𝒊𝒍𝒍𝒏𝒆𝒔𝒔 𝒐𝒇 𝒂𝒍𝒍 𝒔𝒊𝒄𝒌 𝒑𝒆𝒓𝒔𝒐𝒏
𝑵𝒖𝒎𝒃𝒆𝒓 𝒐𝒇 𝒔𝒑𝒆𝒍𝒍 𝒐𝒇 𝒊𝒍𝒍𝒏𝒆𝒔𝒔
Duration Of ILLNESS
13. RR =
𝐼𝑛𝑐𝑖𝑑𝑒𝑛𝑐𝑒 𝑜𝑓 𝑑𝑖𝑠𝑒𝑎𝑠𝑒 (𝑜𝑟 𝑑𝑒𝑎𝑡ℎ) 𝑎𝑚𝑜𝑛𝑔 𝑒𝑥𝑝𝑜𝑠𝑒𝑑
𝐼𝑛𝑐𝑖𝑑𝑒𝑛𝑐𝑒 𝑜𝑓 𝑑𝑖𝑠𝑒𝑎𝑠𝑒 (𝑜𝑟 𝑑𝑒𝑎𝑡ℎ) 𝑎𝑚𝑜𝑛𝑔 𝑛𝑜𝑛−𝑒𝑥𝑝𝑜𝑠𝑒𝑑
An example of using the Relative Risk, is with a measure of the association between Cancer and smoking. It is given in
the table below, wherein those who smoke cigarettes are compared with those who do not smoke cigarettes, in
relation to having developed cancer,
Relative Risk of those who smoke to get cancer= (a/a+b)
= Those who smoke who developed cancer/ the total persons who smoke
= 80/4000 x 1000= 2.0
Relative Risk of those who do not smoke to get cancer= (c/c + d )
= Those who do not smoke who developed cancer/ the total number of persons who do not smoke
. =6/5000 x 1000= 1.2
Relative Risk (cigarette smoking causes cancer) = (a/a+b) / (c/c + d) = 2.0/1.2 = 1.67
Cigarette Smoking Developed Cancer Not Cancer Total
Yes 80(a) 3200(b) 4000( a+b )
NO 6(c) 4994(d) 5000( c+d )
Relative Risk
14. Relative risk (RR) is a ratio. It directly measures the strength
of association between the studied cause and the effect .
If the RR ratio is more than 1, then it suggests a “positive”
association.
15. In recent times, there has been no marked change in death rates, and as a result, disability rates as with regard to
illness and injury have come to be used in order to supplement the mortality and morbidity indicators.
There are two common groups of indicators of disability rates:
a) Event type indicators, and
b) person type indicators.
a) Event-type indicators:
Number of days of restricted activity
Bed disability days
Work-loss days (or school-loss days) within a specified period
b) Person-type indicators
Limitation of mobility: Confined to bed, Confine to house
Limitation of activity: Limitation to perform the basic activities of daily living (ADL)- e.g.: eating, washing,
dressing, going to toilet, moving around , limitation of doing specific job (Prakasam 2017).
Disability Rates:
16. HALE stands for health-adjusted life expectancy. It is based on what was previously the disability-adjusted life expectancy
(DALE), changed in order to represent all states of health.
The HALE measure is based on life expectancy at birth but is includes an adjustment for time of life spent in poor health.
HALE is based on life expectancy at birth but includes an adjustment for time spent in poor health.
HALE is the number of years in full health that a newborn can expected to live based on current rate of ill-health and
mortality (WHO 2002).
HALE is defined as , “ Average number of years that a person can expect to live in "full health" by taking into account
years lived in less than full health due to disease and/or injury.” (WHO 2017).
The measure takes into account different measures of population health, and it is adjusted for severity distribution, and
is sensitive to changes over time and to differences across countries in severity in state of health (WHO 2017).
Health-Adjusted Life Expectancy (HALE):
17. QALY or Quality-adjusted life years measures the burden of disease including both quantity of live lives as well as
the quality of life lived. It is used to assess a medical intervention in terms of value for money.
QALY is thus based on estimating the “number of years of life that would have been lived with perfect life with the
medical intervention” (Prieto et.al. 2003).
In other words, it can be said to be an indicator that assesses both the quantity and quality of life in the health of
a population. Therefore, an extension of life expectancy can also be measured in terms of whether they are years
of healthy life.
One example is that a person may be taking an intervention to address the problem of hypertension for about 3
decades, which adds a decade more to his life, at a slightly reduced level of quality. He would also need further
intervention, which reduces his quality of life further by a given amount. The QALY would then be calculated to
see how many years in total would be gained – say, around 8 years after adjusting above. There are many other
ways in which QALYs can be applied (uOttawa 2014)
Quality-adjusted life years (QALY):
18. There are a few basic facts to DALY mentioned below:
1. DALYs were first reported in the World Development report in 1993
2. DALYs are a new composite indicator of population health status and express the burden of morbidity and mortality.
3. DALYs were designed with cost-effectiveness analysis in mind.
DALY measures overall disease burden. It is expressed as the number of years lost due to ill-health, disability or early
death. The measure enables capturing the impact of both important fatal and non-fatal disabling conditions on a
population. The DALY combines two measures, the Years of Lost Life (YLL) and Years Lost to Disability (YLD) as:
---Years of lost life (YLL):
This measure is calculated from the number of deaths occurring at each age, which is multiplied by the expected
remaining years of life, according to a global standard of life expectancy.
𝑌𝐿𝐿 = 𝑁 × 𝐿
Where,
N=Number of deaths;
L= Standard life expectancy at age of death in year
DALY: Basic facts;
19. This measure is calculated as the number of incident cases of disability due to injury and illness, multiplied by
the average duration of the disease and a weighting factor which reflects disease severity on a scale from 0
(perfect health) to 1 (dead) (Prakasam 2017)
YLD=𝐼 × 𝐷𝑊 × 𝐿.
Where, I= Number of incidence cases
DW = Disability Weight
L= average duration of the case until remission or death (years)
DALY=𝑌𝐿𝐿 + 𝑌𝐿𝐷
---Years lost to disability (YLD):
20. Disability-free life expectancy (DFLE) is the average number of years an individual is
expected to live free of disability if the current pattern of mortality and disability
continues to apply.
The DFLE indicator has been developed and used in many countries since the 1970s.
The definition is a derivation from statistical sources of organizations as the IMF and
OECD. As per the OECD, can be considered in terms of functional limitation-free life
expectancy, and activity restriction-free life expectancy (OECD 2003).
Disability-free life expectancy (DFLE);
21. Reproductive Morbidity :
Apart from the above rates, in the recent period morbidity related to pregnancy and contraception is measured under
Reproductive morbidity.
Reproductive morbidity:
Reproductive morbidities are morbidities that occur during pregnancy, during childbirth or within a period of 42 days of
giving birth (Prakasam 2017).
WHO (1990) has defined reproductive morbidity broadly as:
“any morbidity or dysfunction of the reproductive tract or any morbidity which is a consequence of reproductive
behavior including pregnancy, abortion, childbirth or sexual behavior. Morbidities may include those of a psychological
nature”
The WHO has spelled reproductive morbidity as consisting of three types of morbidity:
1. Obstetric,
2. Gynecological and
3. contraceptive morbidity.
22. Obstetric morbidity:
Morbidity in a women who has been pregnant (regardless of the duration of pregnancy) from any cause related to
or aggravated by the pregnancy or its management, but not from accidental or incidental causes.
Gynecological morbidity:
includes any condition, disease or dysfunction of the reproductive system, which is not related to pregnancy,
abortion, or childbirth but may be related to sexual behavior.
Contraceptive Morbidity:
Contraceptive morbidity includes condition, which result from efforts (other than abortion) to limit family size,
whether they are traditional or modern methods” (WHO 1990).