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Applications of Public Health knowledge Applications of Public Health knowledge

Applications of Public Health knowledge - PowerPoint Presentation

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Applications of Public Health knowledge - PPT Presentation

As well as seeking to improve population health through the implementation of specific populationlevel interventions public health contributes to medical care by identifying and assessing population needs ID: 933725

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Slide1

Applications of Public Health knowledge

As

well as seeking to

improve population health

through the implementation of specific population-level interventions, public health contributes to

medical care

by identifying and assessing population needs

for health care services

,

including

Assessing

current services and

evaluating

whether they are meeting the objectives of

the healthcare system

Ascertaining requirements

as expressed

by health professionals,

the public and other stakeholders

Identifying the most appropriate

interventions

Considering the effect on resources for proposed interventions and assessing their

cost-effectiveness

Supporting decision making

in health care and planning health services including any necessary changes.

Informing, educating, and empowering people about health issues

Slide2

Nutritional epidemiology

farooq@asab.nust.edu.pk

Slide3

Epidemiology

Originally, the study of epidemics / outbreaks

Study of the factors that contribute to illness in individuals and communities, and how to improve health by altering those factors

Slide4

Epidemiology

and

Public Health

Slide5

DEFINITIONS

What is epidemiology?

What is an epidemiologist?

Slide6

How we view the world…..

Pessimist: The glass is half empty.

Optimist: The glass is half full.

Epidemiologist: As compared to what?

Slide7

EPIDEMIOLOGY is the study of the nature, cause, control and determinants of the frequency and distribution of disease, disability, and death in human populations.

Epidemiology: the study of factors influencing the

occurrence,

transmission, distribution, prevention and control of disease in a defined population

What is epidemiology?

Slide8

“The study of skin diseases?

“The study of epidemics?”

“The study of the distribution and determinants of health-related states in specified populations, and the application of this study to control health problems."

What is epidemiology?

Slide9

epidemiologists

study sick and healthy people

to determine the crucial difference between those who get the disease and those who are spared

epidemiologists

study exposed and non-exposed people

to determine the crucial effect of the exposure

EPIDEMIOLOGY is the study of the nature, cause, control and determinants of the frequency and distribution of disease, disability, and death in human populations.

What is epidemiology?

Slide10

An EPIDEMIOLOGIST

is a public health scientist, who is responsible for carrying out all useful and effective activities needed for successful epidemiology

practice

Disease-detective

Slide11

Uses of Epidemiology..

Slide12

Uses of Epidemiology..

Slide13

Slide14

Terminology

Endemic

Hyperendemic

Holoendemic

Epidemic/outbreak

Pandemic

Epizootic

Incidence

Prevalence

Terms used for reference

to various forms of

outbreaks

Slide15

Endemic: a disease or pathogen present or usually

prevalent

in a given population or geographic region at all

times

Hyperendemic

: equally

endemic

in all age groups of a

population

Holoendemic

:

endemic

in most of the children in a population, with the adults in the same population being less often

affected

Epidemic: a disease

occuring

suddenly in numbers far exceeding those attributable to

endemic

disease;

occurring

suddenly in numbers clearly in

excess

of normal

expectancy

Pandemic: a widespread epidemic distributed or

occurring

widely throughout a region, country, continent, or

globally

Epizootic: of, or related to a rapidly spreading and widely diffused disease affecting large numbers of animals in a given region

Incidence: rate of occurrence of an event; number of new cases of disease

occurring

over a specified period of time; may be expressed per a known population

size

Prevalence: number of cases of

disease

occurring within a population at any one given point in time

Slide16

What is an Outbreak?

An outbreak is the occurrence of more cases of a disease than expected in a population during a certain time

One case of smallpox, anthrax, plague, botulism, or tuberculosis anywhere in the US is an outbreak requiring immediate response

An epidemic and an outbreak mean the same thing

Epidemic is often applied to an outbreak of special concern

Slide17

How Are Outbreaks Detected?

Recognized and reported by individual doctors or groups (e.g., an emergency

dept

)

Recognized and reported by those affected (e.g., coworkers, school, banquet)

Detected by PH agency through review of individual cases reported by doctors, or review of lab reports or other health care data

Enhanced surveillance in cooperation with state and federal public health officials

Slide18

Methods of Epidemiology

Public Health Surveillance

Disease Investigation

Analytic Studies

Program Evaluation

Slide19

Surveillance

The ongoing, systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice, closely integrated with the timely feedback of these data to those who need to know.

In public health, ‘surveillance’ means tracking the occurrence of diseases of importance – not watching individuals or premises

Slide20

Analytical studies

Observational:

Case-Control:

Exposures, genes, and/or behaviors in individuals with a particular disease (cases) are compared to individuals without the disease (controls).

Cohort:

A group of individuals with and without a particular exposure are followed to compare disease outcomes.

Interventional:

Clinical Trials:

Individuals are randomized to receive a particular treatment within the clinic setting.

Community Trials:

A community participates in a behavioral intervention, a screening intervention, etc.

Slide21

Study Design:

Population-Based:

Individuals under study belong to a defined population, i.e., residents of a geographic region.

Clinic or Hospital-Based:

Studies are based upon patients seen at a particular hospital or clinic.

Community-Based:

Participants are volunteers in the community.

Analytical studies

Slide22

Behavior, Genetics, Environment, Social/Cultural Risk Factors

Health

Pre-

cancer

Cancer

Recurrence

Etiologic studies

Genetic

Molecular

Environmental

Social/Cultural

Behavioral Interventions

Screening

Chemoprevention Trials

Quality of life

Predictors of survival

Chemoprevention Trials

Survivorship

Risk Assessment,

Primary Prevention

Early Detection,

Secondary Prevention

Tertiary Prevention

All studies conducted in a population that is racially and ethnically diverse

Analytical studies

Slide23

Surveillance Epidemiology and End Results (SEER) Program

Assemble and report estimates of cancer incidence and mortality in the United States.

Monitor annual cancer incidence trends.

Provide continuing information on changes over time

in extent of disease at diagnosis, trends in therapy, and associated changes in patient survival.

Promote studies designed to identify factors amenable to cancer control interventions.

Population-Based Cancer Epidemiology

Slide24

Cancer In Arab Americans: Estimating Rates & Fostering Research

Schwartz K, N01 PC35154-RRSS

Arab/Chaldean men had greater proportions of leukemia , multiple myeloma, liver, kidney, and urinary bladder cancers.

Arab/Chaldean women had

greater proportions of leukemia, thyroid, and brain cancers.

Arab–American women have similar distribution of

breast cancer histology to European–American

women.

Arab–American stage, age, and hormone receptor status at diagnosis was more similar to African–American women.

Arab–American women have a better overall survival than even European–American women.

Slide25

Jemal

et. al., 2010

Slide26

Trends in lung cancer mortality rates by sex in select countries,

1950-2006

Jemal

et. al., 2010

Slide27

Kinds of Epidemiology

Descriptive

Analytic

Experimental

Further studies to determine the validity of a hypothesis concerning the occurrence of disease.

Deliberate manipulation of the cause is predictably followed by an alteration in the effect not due to chance

Study of the occurrence and distribution of disease

Slide28

Overview of epidemiologic design strategies

Descriptive

Populations{Correlational studies}

Individual

Case report

Case series

Cross sectional studies

Analytic studies

Observational

Case control

Cohort

Retrospective

Prospective

Interventional/Experimental

Randomized controlled trial

Field trial

Clinical trial

Slide29

Descriptive vs. Analytic Epidemiology

Descriptive

Used when little is known about the disease

Rely on preexisting data

Who, where, when

Illustrates potential associations

Analytic

Used when insight about various aspects of disease is available

Rely on development of new data

Why

Evaluates the causality of associations

Both are important!

Slide30

Descriptive Studies

Relatively inexpensive and less time-consuming than analytic studies, they describe,

Patterns of disease occurrence, in terms of,

Who gets sick and/or who does not

Where rates are highest and lowest

Temporal patterns of disease

Data provided are useful for,

Public health administrators (for allocation of resources)

Epidemiologists (first step in risk factor determination)

Slide31

Descriptive Epidemiology

Correlational studies

Case reports

Case series

Cross sectional studies

Slide32

Correlational Studies (Ecological Studies)

Uses measures that represent characteristics of entire populations

It describes outcomes in relation to age, time, utilization of services, or exposures

ADVANTAGES

We can generate hypotheses for case-control studies and environmental studies

We can target high-risk populations, time-periods, or geographic regions for future studies

Slide33

Correlational Studies

LIMITATIONS

Because data are for groups, we cannot link disease and exposure in individual

We cannot control for potential confounders

Data represent average exposures rather than individual exposures, so we cannot determine a dose-response relationship

Caution must be taken to avoid drawing inappropriate conclusions, or ecological fallacy

Slide34

Case Reports (case series)

Report of a single individual or a group of individuals with the same diagnosis

Advantages

We can aggregate cases from disparate sources to generate hypotheses and describe new syndromes

Example: hepatitis, AIDS

Limitations

We cannot test for statistical association because there is no relevant comparison group

Based on individual exposure {may simply be coincidental}

Slide35

Case report/Case series(contd.)

Important

interface

between clinical medicine & epidemiology

Most common type of studies published in medical journals{1/3

rd

of all}

AIDS ~ b/w oct1980-may81, 5 cases of

P.carinii

pneumonia were diagnosed among previously healthy young homosexual males in L.A.

Slide36

Cross-Sectional Studies (prevalence studies)

Measures disease and exposure simultaneously in a well-defined population

Advantages

They cut across the general population, not simply those seeking medical care

Good for identifying prevalence of common outcomes, such as arthritis, blood pressure or allergies

Limitations

Cannot determine whether exposure preceded disease

It considers prevalent rather than incident cases, results will be influenced by survival factors

Remember: P = I x D

Slide37

Cross-Sectional Studies

Can be used as a type of analytic study for testing hypothesis, when;

Current values of exposure variables are unalterable over time

Represents value present at initiation of disease

E.g. eye colour or blood group

If risk factor is subject to alterations by disease, only hypothesis formulation can be done

Slide38

The epidemiologic approach:

Steps to public health action

MEASURES

Counts

Times

Rates

Risks/Odds

Prevalence

METHODS

Design

Conduct

Analysis

Interpretation

ALTERNATIVE

EXPLANATIONS

Chance

Bias

Confounding

INFERENCES

Epidemiologic

Causal

ACTION

Behavioural

Clinical

Community

Environmental

DESCRIPTIVE

What (case definition)

Who (person)

Where (place)

When (time)

How many (measures)

ANALYTIC

Why (Causes)

How (Causes)

Slide39

Descriptive Epidemiology

Study of the occurrence and distribution of disease

Terms:

Time

Place

Person

Slide40

What are the three categories of descriptive epidemiologic clues?

Person:

Who is getting sick?

Place:

Where is the sickness occurring?

Time:

When is the sickness occurring?

PPT = person, place, time

Slide41

Time

Secular

Periodic

Seasonal

Epidemic

Slide42

Secular Trend

The long-time trend of disease occurrence

Slide43

Tetanus – by year, USA, 1955-2000

During 2000, a total of 35 cases of tetanus were reported. The percentage of cases among persons aged 25-59

years has

increased in the last decade. Note: A tetanus vaccine was first available in 1933.

Slide44

Possible Reasons for Changes in Trends

Artifactual

Errors in numerator due to

Changes in the recognition of disease

Changes in the rules and procedures for classification of causes of death

Changes in the classification code of causes of death

Changes in accuracy of reporting age at death

Errors in the denominator due to error in the enumeration of the population

Slide45

Possible Reasons for Changes in Trends (cont.)

Real

Changes in age distribution of the population

Changes in survivorship

Changes in incidence of disease resulting from

Genetic factors

Environmental factors

Slide46

Other phrases

Cyclic trends

~ recurrent alterations in occurrence , interval or frequency of disease

Secular cyclicity

Levels of immunizations

Build up of susceptibles

e.g. Hep A-7 yr cycle,Measles-2yr cycle

Short term cyclicity

Chickenpox,salmonella(yearly basis)

Slide47

Periodic Trend

Temporal interruption of the general trend of secular variation

Slide48

Whooping Cough - Four-monthly admissions, 1954-1973

Slide49

Seasonal

A cyclic variation in disease frequency by time of year & season.

Seasonal fluctuations in,

Environmental factors

Occupational activities

Recreational activities

Seasonal affective disorder

Slide50

Seasonal Trend

Pneumonia-Influenza Deaths – By year, 1934-1980

Slide51

Slide52

Person

Age Hobbies

Sex Pets

Occupation Travel

Immunization status Personal Habits

Underlying disease Stress

Medication Family unit

Nutritional status School

Socioeconomic factors Genetics

Crowding Religion

Slide53

Host.....

Personal traits

Behaviours

Genetic predisposition

Immunologic factor

Agent.....

Influence the chance for disease or its severity

Biological

Physical

Chemical

Environment.....

Contribute to the disease process

External conditions

Physical/biological/social

Slide54

due to new agent.

due to change in existing agent (infectivity, pathogenicity, virulence).

due to change in number of susceptibles in the population

due to environmental changes that affect transmission

of the agent or growth of the agent.

Epidemics Occur when.......

host, agent and environmental factors are not in balance

Slide55

INTRODUCTION to NE

Incomplete understanding of biologic mechanisms

Inability to predict consequences of a food or nutrient.

To understand the relationship between diet and long term health and disease

Thus, the epidemiologic studies directly relating intake of dietary components to risk of death or disease among humans play a critical complementary role to laboratory investigation.

Slide56

What is Nutritional epidemiology

?

Concept: diet influences occurrence of diseases

Relatively new: the basic method used for > 200 years to identify essential nutrients

Nutritional epidemiology is a relatively new discipline which combines the knowledge compiled by nutritionists during this century with the methodology developed by epidemiologists to study the determinants of diseases with multiple etiologies and long latent periods.

【Example】 Observations that fresh fruits and

vegetables could cure scurvy by Lind in 1753.

Slide57

Nutritional epidemiology

Epidemiology is the study of the occurrence of human diseases. Nutritional epidemiology focuses on the relationship between our diet and our health.

Slide58

History

Scurvy

Lind 1753

Beriberi

Kanehiro

Takaki in 1884

Rickets, pellagra

Casimir

Funk 1912

Niacin (

vit

B3 deficiency)

Dr.Joseph

Goldberger 1915

Conrad

Elvehjem

1938

Slide59

Itai-itai

disease

"ouch ouch

sickness”,

was the documented case of mass

cadmium poisoning in Toyama Prefecture

,

Japan

. The

cadmium

poisoning

kidney

failure. The disease is named

for

caused

softening of the bones

and

the severe pains (Japanese:

痛い

itai

) caused in the joints and spine. The term

itai-itai

disease was coined by locals

.

The

cadmium was released into rivers by

mining

companies in the mountains. The mining companies were successfully sued for the damage

.

History

Slide60

Goals of nutritional epidemiology

Monitoring the food consumption, nutrient intake and nutritional status of a population.

G

enerate new hypotheses about diet and disease, to produce evidence that supports or refutes existing hypotheses and to assess the strength of diet-disease associations.

Contribute to the prevention of disease and improvement of public health

Slide61

Understanding the complex relationships between diet and the major diseases (as cancer and atherosclerosis)

Having an overview of research strategies in nutritional epidemiology

Identifying methods of dietary assessment using data on food intake, biochemical indicators of diet, and measures of body size and composition.

Discussing the analysis, presentation, and interpretation of data from epidemiologic studies of diet

Goals of nutritional epidemiology

Slide62

Advantages of Nutritional Epidemiology

Direct relevance to human health.

The epidemiological results are used to calculate direct estimates of risk, which can then be translated into specific recommendations for changes in nutrient intakes or food consumption patterns.

Findings from nutritional epidemiology can even have direct implications for food processing and technology

Slide63

High intakes of trans fatty acids (found in margarine and other processed vegetable fats) with increased risks of coronary heart disease

Example

Slide64

The most important one is the potential for many kinds of bias.

Bias is defined as systematic error, resulting in over- or underestimation of the strength of an association between an exposure and an outcome.

Studies in nutritional epidemiology must be designed and executed with great care to minimize bias.

Difficulties

Slide65

The difficulty in determining whether observed associations are causal. If the association between a factor and a disease is not

causal

, efforts to modify exposure to that factor will not reduce disease risk.

Alcohol & lung cancer

Slide66

The apparent simplicity and

real life

rel

evance of epidemiological findings

encourage misuse & over-interpretation of data when preliminary or unconfirmed findings come to the attention of the news media and the general public.

For example

, the reports of an association between margarine intake and cardiovascular disease may have prompted some consumers to switch back to butter, even though most experts believe that this course of action would not be beneficial to cardiovascular health.

Slide67

Nutrition problems in the past

Typical deficiency syndromes

Protein energy malnutrition

Iron deficiency anemia

Goiter

High frequency among those with very low intake

Short latent periods

Can be reversed within days or weeks

Slide68

Contemporary nutritional epidemiology

Major diseases throughout the world

Heart disease

Cancer

Osteoporosis

Cataracts

Stroke

Diabetes

Congenital malformations

Slide69

Characteristics

Multiple determinants (causes)

diet, genetic, occupational, psychosocial, and infectious factors; levels of physical activity; behavioral characteristics

Long latent periods

cumulative exposure over many years, or relatively short exposure occurring many years before diagnosis

Occur with relatively low frequency

despite a substantial cumulative lifetime risk

Conditions not readily reversible

May result from excessive and/or insufficient intake of dietary factors

Why is it hard to study contemporary nutrition-related disease?

Slide70

C

oronary heart disease

Slide71

The complex nature of diet has posed an unusually difficult challenge to nutritional epidemiology:

Diet represents an unusually complex set of exposures that are strongly

intercorrelated

,

cannot be characterized as present or absent

Continuous variables often with a rather limited range of variation

complex nature of

diet

Slide72

Evolving patterns

Preparatory methods

Unawareness of nutrients

Estimates

Comparison with another factor

Slide73

"Do you eat?”

Vs.

“Do you smoke?”

Slide74

Limitation in nutritional epidemiology research:

-

Lack of practical methods

to measure diet for large number of subjects

-

Dietary assessment methods must be:

Reasonably accurate

Relatively inexpensive

-Diets of persons within one country are too homogeneous

to detect relationships with disease.

Slide75

Epidemiologic Approaches

to Diet and Disease

Sources of the concepts, hypotheses, and techniques

of nutritional epidemiology:

-

Biochemistry

-Cell culture methods

-Experiments in laboratory animals

-Metabolic and biochemical studies among human subjects

Findings from in vitro studies and animal experiments

cannot be extrapolated

directly to humans

The basic science areas provide

critical direction

for information that can aid in the interpretation of the epidemiologic findings:

New methods for measuring genetic and environmental exposures that can be applied in epidemiologic studies

Slide76

Who is an epidemiologist?

Many disciplines:

Doctors (MD, DO, DVM, PhD)

Nurses (RN, PHN)

Laboratory workers (microbiologists, technologists)

Social workers, health educators

Environmental health workers

Attorneys

Administrators

Many have additional degrees/training in public health

Slide77

Goal of Epidemiologic Investigation: Prevention

This is the source of urgency for PH staff

Find and fix ongoing point source (like contaminated water supply)

Close location until fixed

Take food product off the market

Find, isolate, and treat infectious people

Find exposed people, give them prophylactic treatment or vaccine, and/or quarantine them

Slide78

Steps in an Outbreak Investigation

Detect problem by public health surveillance

Verify diagnosis

Confirm outbreak

Identify / count cases

Characterize data ® time / place / person

Take immediate control measures

Formulate / test hypotheses

Implement / evaluate additional control measures

Report findings

Slide79

Public Health Emergencies

Threat and reality of bioterrorism have focused attention on public health preparedness for emergencies

Planning for public health emergencies requires interagency agreements, training, and exercises

Slide80

Public Health Emergencies

Examples of public health emergencies:

Natural disaster: hurricanes, floods, earthquakes;

Outbreaks from contaminated food or water, influenza pandemics;

Biological, chemical, radiological and nuclear WMD

Slide81

What Should Make You Suspect an Intentional Outbreak?

Cases of an extremely rare disease (anthrax, plague, smallpox) that could be BT agent

Ordinary disease but out of season or area or with wrong mode of spread or other unusual characteristics (I.e. antibiotic resistance, atypical symptoms or victim demographics)

Cannot solve outbreak with usual techniques

Threats received

Group taking credit

Plausible accusations

Slide82

What Should Make You Suspect an Intentional Outbreak?

All victims attended a common event

All victims share a common workplace or other locale

All victims work for the same agency

A dissemination device is found

Whom should PH workers call first in this community when they receive allegations that someone has caused an outbreak deliberately?

Slide83

Categories of Intervention

Efforts directed at source of infectious agent

Vehicle

Vector

Efforts directed at people at risk

Slide84

Poultry “Biosecurity”

USDA guidance to prevent

introduction/spread of A.I.

Slide85

Interventions Directed at Source

Eliminate / treat source

Dispose of contaminated food, shock-chlorinate contaminated water

Isolate / treat infected persons

Prevent further exposures by minimizing susceptible’ risk of exposure to infectious persons

Close contaminated sites / sources

Protect susceptible by minimizing risk of exposure from infected sites / sources

Slide86

Interventions Directed at People at Risk

Reduce risk of exposure in susceptible people – e.g., by educating on how to avoid exposure

Directly protect at-risk people

Vaccinate

Post-exposure treatment with medicines or vaccines to prevent or lessen illness

Slide87

Slide88