NLE Community Health Nursing — Epidemiology & BiostatisticsConcept Map
If you learn better by seeing ideas connected visually, this concept map of Epidemiology & Biostatistics is built for you. Every NLE Community Health Nursing question draws on these relationships, so building this map mentally is half the battle when you sit for NLE 2026.
Exam context
For the Philippine Nurse Licensure Examination (PNLE), Professional Regulation Commission (PRC) — Board of Nursing tests Community Health Nursing under a "Core" label, with Epidemiology & Biostatistics in the 2nd slot across 6 chapters. NLE candidates must clear the 75% weighted average with no sub-test below 60% cut on the 2026 paper, which draws about 50 Community Health Nursing questions. Date to watch: Bi-annual.
Epidemiology & Biostatistics - Concept Map
Central Concept
Epidemiology & Biostatistics: Population Health Study & Measurement
Related Concepts
Concept
Epidemiology Fundamentals
Sub Concepts
- Definition: Distribution & Determinants of Health
- Person-Place-Time Framework
- Unit of Care: Population/Community
- Purpose: Describe, Detect, Investigate, Control
Relationship To Central
Core discipline defining how disease patterns are studied in communities
Concept
Models of Disease Causation
Sub Concepts
- Epidemiologic Triangle: Agent-Host-Environment
- Vector in Disease Transmission
- Web of Causation: Multiple Risk Factors
- Chain of Infection: Six Links
Relationship To Central
Explains how diseases develop and spread in populations
Concept
Disease Occurrence Patterns
Sub Concepts
- Sporadic: Occasional & Irregular
- Endemic: Constant Presence in Area
- Epidemic/Outbreak: Excess of Expected Cases
- Pandemic: Cross-Country Spread
Relationship To Central
Describes how diseases appear and spread in populations
Concept
Natural History & Levels of Prevention
Sub Concepts
- Prepathogenesis Stage: Susceptibility
- Pathogenesis Stage: Subclinical to Clinical
- Primary Prevention: Health Promotion & Protection
- Secondary Prevention: Early Detection & Treatment
- Tertiary Prevention: Rehabilitation & Disability Limitation
Relationship To Central
Framework for intervention timing based on disease progression
Concept
Surveillance Systems (Philippine Context)
Sub Concepts
- DOH Epidemiology Bureau: Coordination
- PIDSR: Philippine Integrated Disease Surveillance & Response
- ESUs: Regional, Provincial, Municipal Units
- Passive vs. Active Surveillance
- Notifiable Diseases Reporting
Relationship To Central
Systematic collection and analysis of health data for action
Concept
Outbreak Investigation Process
Sub Concepts
- Step 1: Establish & Verify Diagnosis
- Step 2: Define & Identify Cases
- Step 3: Describe by Person-Place-Time
- Step 4: Formulate & Test Hypothesis
- Step 5: Implement Control Measures
- Step 6: Communicate Findings
- Epidemic Curve: Point-Source vs. Propagated
Relationship To Central
Systematic steps to respond to excess disease occurrence
Concept
Vital Statistics (Philippine Context)
Sub Concepts
- Definition: Births, Deaths, Marriages, Health Events
- Data Source: Civil Registration
- Crude Birth Rate Formula & Interpretation
- Crude Death Rate Formula & Interpretation
- Infant & Neonatal Mortality Rates
- Maternal Mortality Rate/Ratio
- Fetal Death Rate
- Cause-of-Death & Proportionate Mortality Rates
Relationship To Central
Quantifies major health and demographic events in populations
Concept
Morbidity & Disease-Frequency Formulas
Sub Concepts
- Incidence Rate: New Cases & Risk
- Prevalence Rate: All Existing Cases & Burden
- Attack Rate: Used in Outbreaks
- Case Fatality Rate: Disease Severity
- Incidence vs. Prevalence Distinction
Relationship To Central
Quantifies disease occurrence and severity in populations
Concept
Screening & Test Validity
Sub Concepts
- Sensitivity: Correctly Identifies Those With Disease
- Specificity: Correctly Identifies Those Without Disease
- Positive Predictive Value & Prevalence
- Negative Predictive Value
- Screening Program Criteria
Relationship To Central
Evaluates tools for early disease detection
Concept
Study Designs in Epidemiology
Sub Concepts
- Descriptive Studies: Case Reports & Surveys
- Cohort Study: Forward in Time & Relative Risk
- Case-Control Study: Backward Approach & Odds Ratio
- Experimental/RCT: Strongest Evidence
Relationship To Central
Methods for investigating disease patterns and causation
Concept
Data Interpretation & Central Tendency
Sub Concepts
- Mean: Arithmetic Average
- Median: Middle Value
- Mode: Most Frequent Value
- Rate vs. Ratio vs. Proportion
Relationship To Central
Statistical tools for analyzing population health data
Concept
Data Sources (Philippine Context)
Sub Concepts
- Census: PSA Complete Population Count
- Civil Registration: Births, Deaths, Fetal Deaths
- FHSIS: Routine RHU & Health Center Data
- Surveys & Surveillance Systems
- Documentation & Accuracy Importance
Relationship To Central
Origins of health information for epidemiologic analysis
Concept
Nursing Roles in Epidemiology
Sub Concepts
- Case-Finding & Contact Tracing
- Notifiable Disease Reporting (PIDSR/FHSIS)
- Vital & Health Statistics Collection
- Program Planning & Evaluation
- Health Teaching & Chain-Breaking Interventions
- RA 9173 Professional Responsibilities
Relationship To Central
Application of epidemiologic principles in community health practice
Concept Connections
To
Disease Causation Models
From
Epidemiology Fundamentals
Strength
strong
Relationship
Epidemiology uses models to explain how diseases develop and spread
To
Disease Occurrence Patterns
From
Epidemiology Fundamentals
Strength
strong
Relationship
The descriptive person-place-time framework identifies disease occurrence patterns
To
Chain of Infection
From
Disease Causation Models
Strength
strong
Relationship
Chain of infection is a specific model explaining communicable disease transmission
To
Nursing Roles in Epidemiology
From
Chain of Infection
Strength
strong
Relationship
Nurses break the chain through interventions at each link
To
Outbreak Investigation Process
From
Disease Occurrence Patterns
Strength
strong
Relationship
Outbreak investigation is triggered when disease exceeds endemic levels
To
Natural History & Levels of Prevention
From
Outbreak Investigation Process
Strength
moderate
Relationship
Investigation findings guide prevention strategy selection
To
Outbreak Investigation Process
From
Surveillance Systems
Strength
strong
Relationship
Surveillance detects outbreaks, triggering investigation
To
Nursing Roles in Epidemiology
From
Surveillance Systems
Strength
strong
Relationship
Nurses report notifiable diseases through PIDSR
To
Data Interpretation & Central Tendency
From
Vital Statistics
Strength
strong
Relationship
Statistical measures are used to analyze vital statistics data
To
Data Sources PH
From
Vital Statistics
Strength
strong
Relationship
Vital statistics primarily come from civil registration
To
Vital Statistics
From
Disease-Frequency Formulas
Strength
moderate
Relationship
Morbidity formulas (incidence, prevalence) complement mortality statistics
To
Study Designs
From
Disease-Frequency Formulas
Strength
strong
Relationship
Study designs generate the data used to calculate disease frequency measures
To
Natural History & Levels of Prevention
From
Screening & Test Validity
Strength
strong
Relationship
Screening is a secondary prevention tool requiring valid tests
To
Disease-Frequency Formulas
From
Screening & Test Validity
Strength
moderate
Relationship
Test predictive values are influenced by disease prevalence
To
Outbreak Investigation Process
From
Study Designs
Strength
strong
Relationship
Outbreak investigations use cohort and case-control study designs
To
Surveillance Systems
From
Nursing Roles in Epidemiology
Strength
strong
Relationship
Nurses implement surveillance by identifying and reporting cases
To
Outbreak Investigation Process
From
Nursing Roles in Epidemiology
Strength
strong
Relationship
Nurses conduct case-finding, contact tracing, and health education during outbreaks
To
Natural History & Levels of Prevention
From
Nursing Roles in Epidemiology
Strength
strong
Relationship
Nurses implement all three levels of prevention across disease natural history
To
Nursing Roles in Epidemiology
From
Data Sources PH
Strength
moderate
Relationship
Accurate nursing documentation contributes to health data quality
To
Natural History & Levels of Prevention
From
Disease Causation Models
Strength
moderate
Relationship
Understanding causation informs which preventive strategies to target
Previous chapter
Philippine Health Care Delivery System & DOH Programs
Next chapter
Family & Population-Focused Nursing
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