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Samenvatting epidemiologie en volksgezondheid

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samenvatting theorie

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EPIDEMIOLOGY AND PUBLIC HEALTH
INTRODUCTION

DEFINITIONS

Epidemiology: is a method of reasoning about disease that deals with biological inference derived
from observations of disease phenomena in population groups".

 Often considered the core science of public health, epidemiology involves “the study
of the distribution and determinants of disease frequency”

SCIENTIFIC RESEARCH

Scientific research intends to fill the gaps in knowledge or improve current knowledge with a final
goal of improving society. Epidemiologic research has a final goal of improving public health.


RESEARCH

 Main strength: assessment of disease burden or the relationship (association) between
exposure and disease a population of interest
 Method: counting withing groups and comparing
 Main challenges:
- Who to count?
- When to count?
- How to compare?

Three main questions:

1. What is the burden of disease?
2. What is the prognosis of a disease?
3. Which are the risk factors/exposures causing a disease?

Three main ways to answer them:

1. Descriptive epidemiology: non-causal analyses which describe observed data (e.g.
surveillance)
- Very important for the base data
2. Predictive (prognosis) epidemiology: use of observed data to make statements or
predictions (e.g. used in clinical epidemiology).
3. Causal (etiologic) epidemiology: causal effects of risk factors/exposures on disease.
 2+3 are analytical




1

, ROLE OF PUBLIC HEALTH

 Establish health objectives and priorities
 Health promotion
 Disease prevention
 Health protection
 Health services




EPIDEMIOLOGY PURPOSES IN PUBLIC HEALTH

 Discover the agent, host, and environmental factors that affect health
 Determine the relative importance of causes of illness, disability, and death
 Identify those segments of the population that have the greatest risk from specific causes of
ill health
 Evaluate the effectiveness of health programs and services in improving population health

WHAT IS PUBLIC HEALTH?

 Surveillance: descriptive epidemiology to establish objectives and priorities
 Health services: planning & evaluation of health care services
 Disease prevention:
- Primary prevention: intervening before health effects occur, through measures such as
vaccinations, altering risky behaviors (poor eating habits, tobacco use), and banning
substances known to be associated with a disease or health condition.
- Secondary prevention: screening to identify diseases in the earliest stages, before the
onset of signs and symptoms, through measures such as mammography and regular
blood pressure testing.
- Tertiary prevention: managing disease post diagnosis to slow or stop disease
progression through measures such as chemotherapy, rehabilitation, and screening for
complications.



2

,  Health promotion: health promotion enables people to increase control over their own
health. It covers a wide range of social and environmental interventions that are designed to
benefit and protect individual people’s health and quality of life by addressing and
preventing the root causes of ill health, not just focusing on treatment and cure.
 Health protection: minimization of the exposure to health hazards to protect the population
by ensuring environmental, occupational, toxicological and food safety.

HISTORY

Slides !!




3

, LECTURE 2: MEASURES OF OCCURRENCE

EPIDEMIOLOGICAL FRACTIONS

 Proportion: x / N = x / (x + y)
 Odds: x / (N-x) = x / y
 Rate: x / N * 1 / t = x / (x+y) * t
- More useful to compare measurements

CONCEPTS


COHORT

= group of people usually followed through time

 Closed cohort: start following everyone at the same time
 Open cohort: not the same time slots for everyone  some people are followed
longer/shorter than others
- People enter and leave at different times


PREVALENCE & INCIDENCE

 Prevalence: description of population with existing disease in single point of time
 Incidence: number of new events in a population in a defined period of time

PREVALENCE

 Point prevalence: one time point or very short period of time (minutes, days)
 Period prevalence: defined longer period of time (months, years)
 Prevalence counts: absolute number of cases
- To communicate information
- Often lacks context
 Prevalence proportion: n cases / total population
- when lower than 10%, the proportion & odds are close
- when its high, the prevalence odds overestimates the prevalence proportion
 Prevalence odds: two ways to calculate this
- prevalence proportion / 1 – prevalence proportion
- n of cases / population – n of cases
 They all combine incidence and duration




4

Table des matières

  1. 01 introduction 1
    1. definitions 1
    2. scientific research 1
    3. role of public health 2
    4. what is public health? 2
  2. 02 history 3
  3. 03 lecture 2: measures of occurrence 4
    1. epidemiological fractions 4
    2. concepts 4
    3. prevalence 4
    4. incidence 5
  4. 04 lecture 3: measures of association 7
    1. concepts 7
    2. differences and ratios 7
    3. communication 9
  5. 05 measures of random error 9
    1. P-values 10
    2. 95% confidence interval 10
    3. excercises! 10
  6. 06 lecture 4: causality and systematic error 11
    1. causal models 11
    2. systematic error 12
    3. excercises! 13
  7. 07 les 5: public health, policy and practice 15
    1. sociale geneeskunde en/of volksgezondheid 15
    2. hygiëne-hypothese 15
    3. john snow 15
    4. definities 15
    5. sick-building syndrome 16
    6. preventie 16
    7. sociale geneeskunde 17
    8. epidemiologie 18
    9. geestelijke gezondheidszorg 18
    10. gezondheidspromotie 18
    11. gezondheidsbeleid 18
    12. successen van de 20e eeuw 19
    13. uitdagingen 19
  8. 08 lecture 6: causality part 2 20
    1. confounding 20
    2. dealing with confounding 20
    3. measures of effect or impact 21
  9. 09 lecture 7: diagnostic testing 23
    1. concepts 23
    2. validity 24
    3. reliability/repeatability 26
  10. 10 lecture 8: molecular epidemiology 27
    1. outbreak investigations 27
    2. surveillance 27
    3. estimation of key transmission parameters 27
    4. estimate contact parameters 27
    5. tracing and dissemination of infectious agents 27
    6. New approaches in the study of molepi of infectious diseases 27
    7. biomarkers & biospecimens 28
  11. 11 lecture 8: part 2 31
    1. dna sequences as biomarkers 31
    2. genetic variability 31
    3. molecular epidemiology of malaria 32
  12. 12 lecture 9: introduction to NGS & bio-informatics 33
    1. ngs 33
    2. bio-informatics 35
    3. tb wgs online tools & exercises 36
    4. excercises! 37
  13. 13 lecture 10: study design 38
  14. 14 lecture 11: cohorts 39
    1. types of cohort studies 40
    2. mechanics of a cohort study 40
    3. causality and bias 41
  15. 15 lecture 12: randomized clinical trials 43
    1. Clinical Trials: Introduction & Historical Context 43
    2. Purpose and Design of Clinical Trials 43
    3. Study Design Elements 43
    4. Statistical & Operational Considerations 44
    5. Study Protocol and Conduct 44
    6. Data Handling & Reporting 45
    7. Critical Appraisal 45
    8. Key Takeaways 45
  16. 16 lecture 13: cross-sectional surveys 46
    1. purpose 46
    2. advantages 46
    3. limitations 46
    4. study design structure 46
    5. interpreting results 49
  17. 17 lecture 14: molecular epidemiology in africa 50
    1. health status & transition 50
    2. co-morbities 50
    3. genomics 50
    4. anti-malarial drug resistance 51
    5. pcr-correction – malaria drug efficacy 51
    6. molecular markers of drug resistance 51
    7. strengthening environmental surveillance to advance puplich health action 52
    8. waste-water based surveillance 52
    9. objectives and aims 52
    10. challenges 52
  18. 18 lecture 15: implementation research 53
    1. Definition and Purpose 53
    2. Key Objectives of IR 53
    3. Core Components 53
    4. steps in implementing RESEARCH STRATEGIES 53
    5. Types of Questions in IR 54
    6. Study Designs 54
    7. Frameworks and Models 54
    8. Implementation Strategies 54
    9. Outcomes in IR 54
    10. Ethical Considerations 55
    11. Challenges in IR 55
    12. clinical research vs ir 55
  19. 19 lecture 16: ethics in epidemiological studies 57
    1. background 57
    2. ancillary care 58
  20. 20 lecture 17: microbiome (vaginal & gut) 59
    1. vaginal microbiome 59
    2. gut microbiome 61
  21. 21 lecture 18: systematic review & meta analysis 63
    1. Introduction 63
    2. Definitions 63
    3. Steps in Conducting SRMA 63
    4. Protocol Registration & development 64
    5. Literature Search Strategy 64
    6. Study Selection and PRISMA 64
    7. Risk of Bias Tools 64
    8. data synthesis 64
    9. Meta-Analysis Basics 65
    10. Assessing Heterogeneity 65
    11. Publication Bias 66
    12. GRADE System 66
    13. PRISMA Reporting 66
    14. Resources and Tools 66
    15. Common Pitfalls 66
    16. Conclusion 66

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Publié le
29 septembre 2025
Nombre de pages
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2024/2025
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