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Technical Documentation: Measles Vaccination Timeline Visualization

Project Metadata

Iteration: 1 (Foundation Level)
Disease Focus: Measles (MCV1/MCV2 vaccines)
Time Period: 2000-2023 (24 years)
Geographic Coverage: 60 countries across 6 WHO regions
Web Learning Source: https://docs.mapbox.com/mapbox-gl-js/example/popup-on-hover/
Created: 2025-11-08

Architecture Overview

File Structure

vaccine_timeseries_1_measles/
├── index.html          # Complete standalone visualization
├── README.md           # Medical/epidemiological analysis
└── CLAUDE.md          # Technical documentation (this file)

Dependencies

External Libraries:

Mapbox GL JS v3.0.1 (CDN)
Mapbox GL CSS v3.0.1 (CDN)

Shared Architecture:

import { MAPBOX_CONFIG } from '../../mapbox_test/shared/mapbox-config.js';
import { LayerFactory, COLOR_SCALES } from '../../mapbox_test/shared/layer-factory.js';

Mapbox Access Token:

Managed through MAPBOX_CONFIG.accessToken
Centralized configuration prevents token duplication

Web Learning Application

Research Assignment

URL: https://docs.mapbox.com/mapbox-gl-js/example/popup-on-hover/ Topic: Popup-on-hover interaction pattern Mission: Learn and apply mouseenter/mouseleave event pattern for country information display

Techniques Extracted

Learning: Create popup instance once before event listeners to prevent flickering and reduce DOM manipulation overhead.

Implementation:

// Pattern from Mapbox popup-on-hover example:
// Create single popup instance before interactions to prevent flickering
const popup = new mapboxgl.Popup({
    closeButton: false,  // No close button for hover popups
    closeOnClick: false  // Don't close when clicking elsewhere
});

Why This Matters:

Creating new popups on every hover causes visible flickering
Single instance reuse is more performant
Consistent behavior across all interactions

2. MouseEnter Event Handler

Learning: Use mouseenter event to show popup with feature data from event object.

Implementation:

map.on('mouseenter', 'vaccine-circles', (e) => {
    // Change cursor to pointer (UX improvement)
    map.getCanvas().style.cursor = 'pointer';

    // Extract coordinates and properties from event
    const coordinates = e.features[0].geometry.coordinates.slice();
    const props = e.features[0].properties;

    // Build HTML content from feature properties
    const popupHTML = `
        <div class="popup-title">${props.name}</div>
        <div class="popup-stat">
            <span class="popup-stat-label">Year:</span>
            <span class="popup-stat-value">${props.year}</span>
        </div>
        <!-- Additional stats -->
    `;

    // Handle antimeridian crossing
    while (Math.abs(e.lngLat.lng - coordinates[0]) > 180) {
        coordinates[0] += e.lngLat.lng > coordinates[0] ? 360 : -360;
    }

    // Reuse popup instance with new content
    popup.setLngLat(coordinates)
        .setHTML(popupHTML)
        .addTo(map);
});

Key Details:

Event object (e) contains features array with hovered feature
.slice() creates coordinate copy to avoid mutation
Antimeridian logic ensures correct popup positioning at ±180° longitude
setLngLat() + setHTML() + addTo() pattern for popup display

3. MouseLeave Event Handler

Learning: Use mouseleave event to remove popup and reset cursor.

Implementation:

map.on('mouseleave', 'vaccine-circles', () => {
    map.getCanvas().style.cursor = '';  // Reset cursor
    popup.remove();                      // Remove popup from map
});

Key Details:

Simple cleanup: cursor reset + popup removal
No need for null checks (Mapbox handles gracefully)
Ensures clean state when mouse exits layer

4. Feature Identification

Learning: Enable generateId on source to allow feature-based event handling.

Implementation:

map.addSource('vaccine-data', {
    type: 'geojson',
    data: vaccineData,
    generateId: true  // Enable automatic feature ID generation
});

Why This Matters:

Allows Mapbox to track individual features for hover events
Required for reliable mouseenter/mouseleave detection
Enables feature-state styling (not used in this iteration)

5. Cursor Styling

Learning: Change cursor to pointer on hover for clear interaction affordance.

Implementation:

// On mouseenter
map.getCanvas().style.cursor = 'pointer';

// On mouseleave
map.getCanvas().style.cursor = '';

UX Impact:

Clear visual feedback that element is interactive
Standard web convention for clickable/hoverable elements

Pattern Verification

Code Comments: All hover-related code includes documentation:

// Pattern from Mapbox popup-on-hover example

This ensures traceability to the web learning source and helps future developers understand the pattern origin.

Data Architecture

GeoJSON Structure

Format: Flattened feature collection (one feature per country-year)

Feature Count: 1,440 features

60 countries
24 years per country (2000-2023)
60 × 24 = 1,440

Advantages of Flattened Approach:

Simple filtering: ['==', ['get', 'year'], selectedYear] shows only relevant features
No server required: All data embedded in client-side JavaScript
Fast rendering: Mapbox filters 1,440 features to ~60 visible instantly
Easy debugging: Each feature is self-contained

Feature Schema:

{
  type: "Feature",
  geometry: {
    type: "Point",
    coordinates: [longitude, latitude]
  },
  properties: {
    // Identification
    name: "Nigeria",           // Country name
    iso3: "NGA",              // ISO 3166-1 alpha-3 code
    year: 2015,               // Data year

    // Context
    region: "AFRO",           // WHO region
    income_level: "lower-middle",  // World Bank classification
    population: 182202000,    // Population in data year

    // Vaccination Coverage
    coverage_dose1: 52,       // MCV1 coverage percentage
    coverage_dose2: 35,       // MCV2 coverage percentage

    // Disease Burden
    cases: 45000,             // Estimated measles cases
    deaths: 850,              // Estimated measles deaths

    // Time Series (for future chart use)
    years_array: "[2000,2001,...,2023]",
    coverage1_array: "[30,35,...,68]",
    coverage2_array: "[15,20,...,45]",
    cases_array: "[150000,140000,...,15000]",
    deaths_array: "[4500,4200,...,450]"
  }
}

Data Generation Logic

Realistic Modeling:

Base Coverage: Each country assigned realistic baseline from WHO data
Temporal Trends:
- 15% improvement over 24 years (global trend)
- COVID-19 dip: 8% drop in 2020-2022
- Partial recovery by 2023
Regional Factors:
- AFRO: 0.9× multiplier (lower coverage)
- EURO: 1.05× multiplier (higher coverage)
- EMRO (low-income): 0.85× multiplier (conflict/access issues)
Random Variation: ±2.5% per year to simulate real-world fluctuations

Case Calculation:

const herdImmunityThreshold = 95;
const coverageGap = Math.max(0, herdImmunityThreshold - coverage1);
const baseCases = (population / 100000) * 100;  // 100 cases per 100k baseline
const cases = baseCases * (1 + coverageGap / 10) * randomFactor;

Death Calculation:

const cfr = income === "low" ? 0.03 :      // 3% case fatality rate
            income === "lower-middle" ? 0.02 :  // 2% CFR
            0.01;                                // 1% CFR (high-income)
const deaths = cases * cfr * randomFactor;

Visual Encoding

Color Scale (Coverage-Based)

Expression:

const coverageColorExpression = [
    'interpolate',
    ['linear'],
    ['get', 'coverage_dose1'],
    0, '#ef4444',    // < 50: Red (critical)
    50, '#f59e0b',   // 50-70: Orange (low)
    70, '#eab308',   // 70-85: Yellow (medium)
    85, '#84cc16',   // 85-95: Lime (good)
    95, '#22c55e'    // > 95: Green (excellent)
];

Rationale:

Red signals danger (below herd immunity, endemic transmission)
Yellow indicates transition zone (outbreaks likely)
Green shows success (herd immunity achieved)
Matches epidemiological thresholds for measles control

Size Scale (Population-Based)

Expression:

const populationSizeExpression = [
    'interpolate',
    ['exponential', 0.5],  // Square root scaling for better visual distribution
    ['get', 'population'],
    1000000, 8,       // 1M people → 8px radius
    50000000, 18,     // 50M people → 18px radius
    200000000, 30,    // 200M people → 30px radius
    1000000000, 45    // 1B people → 45px radius
];

Rationale:

Exponential 0.5 (square root) prevents India/China from overwhelming map
Larger circles = more people affected by coverage gaps
Emphasizes importance of high-population countries

Layer Stack

1. Glow Layer (bottom):

{
    id: 'vaccine-glow',
    type: 'circle',
    paint: {
        'circle-radius': ['+', populationSizeExpression, 8],
        'circle-opacity': 0.2,
        'circle-blur': 1
    }
}

Creates soft halo effect
Enhances visibility against dark background
Radius = main circle + 8px

2. Main Circle Layer (top):

{
    id: 'vaccine-circles',
    type: 'circle',
    paint: {
        'circle-radius': populationSizeExpression,
        'circle-color': coverageColorExpression,
        'circle-opacity': 0.8,
        'circle-stroke-width': 1.5,
        'circle-stroke-color': '#ffffff',
        'circle-stroke-opacity': 0.4
    }
}

Primary visual element
White stroke provides definition
0.8 opacity allows slight overlap visibility

Timeline Control Implementation

HTML5 Range Input

<input type="range" min="2000" max="2023" value="2015"
       class="timeline-slider" id="timelineSlider">

Attributes:

min/max: Year range bounds
value: Initial year (2015 - midpoint)
Step: Default 1 (whole years)

Filter Update Logic

slider.addEventListener('input', (e) => {
    const selectedYear = parseInt(e.target.value);
    yearDisplay.textContent = selectedYear;

    // Update both layers to show only selected year
    map.setFilter('vaccine-circles', ['==', ['get', 'year'], selectedYear]);
    map.setFilter('vaccine-glow', ['==', ['get', 'year'], selectedYear]);
});

Key Techniques:

input event fires continuously during drag (vs. change which fires on release)
setFilter() is highly performant (GPU-accelerated)
Both layers must be filtered to maintain visual consistency

Custom Slider Styling

WebKit/Blink Browsers:

.timeline-slider::-webkit-slider-thumb {
    width: 20px;
    height: 20px;
    border-radius: 50%;
    background: linear-gradient(135deg, #60a5fa, #a78bfa);
    box-shadow: 0 2px 8px rgba(96, 165, 250, 0.4);
}

Firefox:

.timeline-slider::-moz-range-thumb {
    /* Same properties */
}

Hover Effect:

::-webkit-slider-thumb:hover {
    transform: scale(1.2);
}

Globe Configuration

Projection & Initial View

const map = new mapboxgl.Map({
    container: 'map',
    style: 'mapbox://styles/mapbox/dark-v11',
    projection: 'globe',  // 3D globe (vs. mercator)
    center: [20, 20],     // Africa-centered
    zoom: 1.5             // Show full globe
});

Atmosphere (Dark Theme)

map.setFog({
    color: 'rgb(10, 14, 39)',              // Atmosphere base color
    'high-color': 'rgb(30, 41, 82)',       // Color at horizon
    'horizon-blend': 0.02,                  // Blend amount
    'space-color': 'rgb(5, 7, 20)',        // Background space color
    'star-intensity': 0.6                   // Star brightness (0-1)
});

Visual Effect:

Deep blue-black space background
Subtle atmosphere glow around globe limb
Visible stars for depth perception
Matches dark UI theme throughout

Globe Rotation Animation

let userInteracting = false;

const spinGlobe = () => {
    if (!userInteracting) {
        map.easeTo({
            center: [map.getCenter().lng + 0.1, map.getCenter().lat],
            duration: 1000,
            easing: (t) => t  // Linear easing
        });
    }
};

// Pause rotation during user interaction
map.on('mousedown', () => { userInteracting = true; });
map.on('mouseup', () => { userInteracting = false; });
map.on('dragend', () => { userInteracting = false; });
map.on('pitchend', () => { userInteracting = false; });
map.on('rotateend', () => { userInteracting = false; });

setInterval(spinGlobe, 1000);  // Rotate every second

Behavior:

Gentle eastward rotation when idle
Stops immediately when user interacts
Resumes after interaction completes
Creates "living" visualization feel

Dark Theme Integration

.mapboxgl-popup-content {
    background: rgba(15, 23, 42, 0.98);
    border-radius: 8px;
    padding: 16px;
    box-shadow: 0 4px 16px rgba(0, 0, 0, 0.6);
    border: 1px solid rgba(96, 165, 250, 0.3);
}

Design Choices:

Near-opaque background (0.98 alpha) for readability
Blue border matches UI accent color
Consistent border radius (8px) with control panels
Deep shadow for depth against dark background

Content Structure

<div class="popup-title">Nigeria</div>
<div class="popup-stat">
    <span class="popup-stat-label">Year:</span>
    <span class="popup-stat-value">2015</span>
</div>
<div class="popup-divider"></div>
<!-- More stats -->

Typography:

Title: 16px bold, blue accent (#60a5fa)
Labels: 13px, muted gray (#94a3b8)
Values: 13px bold, bright white (#e0e6ed)
Dividers separate logical groups

Performance Optimizations

1. Filter-Based Rendering

Only 60 features rendered at a time (out of 1,440)
GPU-accelerated filtering via Mapbox expressions
No JavaScript loops for visibility control

One popup created, reused for all hovers
Avoids repeated DOM creation/destruction
Prevents memory leaks from orphaned popup elements

3. Embedded Data

All 1,440 features in client-side GeoJSON
No server requests after initial load
Instant year transitions

4. Event Debouncing

Globe rotation uses 1-second interval (not requestAnimationFrame)
Reduces CPU usage when idle
Sufficient for gentle ambient motion

5. Vector Rendering

Mapbox GL uses WebGL for all rendering
Scales smoothly at any zoom level
Efficient on retina displays

Browser Compatibility

Supported:

Chrome/Edge 79+ (Chromium)
Firefox 78+
Safari 14+
Opera 66+

Requirements:

WebGL support
ES6 modules (import/export)
CSS Grid and Flexbox
HTML5 range input

Not Supported:

Internet Explorer (no WebGL 2.0)
Very old mobile browsers

Code Quality

ES6 Module Usage

import { MAPBOX_CONFIG } from '../../mapbox_test/shared/mapbox-config.js';
import { LayerFactory, COLOR_SCALES } from '../../mapbox_test/shared/layer-factory.js';

Benefits:

Shared configuration across all visualizations
Centralized token management
Reusable layer factory patterns
Easier maintenance

Commenting Strategy

Pattern Attribution:

// Pattern from Mapbox popup-on-hover example:
// Create single popup instance before interactions to prevent flickering
const popup = new mapboxgl.Popup({...});

Complex Logic:

// Ensure popup appears at correct location if coordinates cross antimeridian
while (Math.abs(e.lngLat.lng - coordinates[0]) > 180) {
    coordinates[0] += e.lngLat.lng > coordinates[0] ? 360 : -360;
}

Section Headers:

// ===== TIMELINE CONTROL =====
// ===== GLOBE CONFIGURATION =====

Variable Naming

Descriptive Names:

coverageColorExpression (not colors)
populationSizeExpression (not sizes)
selectedYear (not year or y)

Consistent Prefixes:

map* for Mapbox objects (mapLayer, mapSource)
popup* for popup-related variables
vaccine* for data objects

Testing Recommendations

Manual Testing Checklist

Timeline Slider:
- Drag slider smoothly through all years
- Year display updates correctly
- Circles appear/disappear as expected
- No console errors during rapid sliding
Hover Popups:
- Popup appears on mouseenter
- Popup disappears on mouseleave
- Cursor changes to pointer on hover
- No flickering when moving between circles
- Popup content matches hovered country
- Popup positioned correctly (no cutoff)
Globe Interaction:
- Globe rotates when idle
- Rotation stops on mousedown
- Can drag/rotate/zoom smoothly
- Rotation resumes after interaction
- No lag or stuttering
Data Accuracy:
- Countries appear in correct locations
- Coverage colors match legend
- Population sizes appear proportional
- All 60 countries visible in each year
- No duplicate circles in same location
Responsive Behavior:
- Layout works on desktop (1920×1080)
- Controls readable on laptop (1366×768)
- Map fills entire viewport
- Legend and controls don't overlap

Edge Cases to Test

Antimeridian Crossing:
- Hover countries near ±180° longitude (Fiji, Russia)
- Verify popup appears on correct side
Overlapping Circles:
- Hover countries with similar coordinates
- Verify correct country data shown
Rapid Interaction:
- Quickly move mouse across many circles
- Verify no orphaned popups or stuck cursors
Year Extremes:
- Test year 2000 (earliest)
- Test year 2023 (latest)
- Verify data exists for all countries

Future Enhancement Roadmap

Iteration 2 (Intermediate)

Auto-Play Feature:

Play/pause button
Configurable speed (1-5 seconds per year)
Loop option

Trend Indicators:

Up/down arrows showing coverage change vs. previous year
Color-coded arrows (green = improvement, red = decline)

Regional Filtering:

Buttons to filter by WHO region (AFRO, EURO, etc.)
"Show All" option to reset

Iteration 3 (Advanced)

Country Detail Panels:

Click country to open side panel
Chart.js time series graph using stored arrays
Show MCV1/MCV2 coverage trends
Overlay cases/deaths on secondary axis

Outbreak Event Markers:

Special markers for major outbreaks (>1000 cases)
Animated pulse effect
Popup shows outbreak details

Comparison Mode:

Split screen: two years side-by-side
Difference view: color by coverage change
Highlight countries with largest shifts

Iteration 4 (Expert)

Herd Immunity Overlay:

Threshold line at 95% coverage
Countries below threshold highlighted with warning indicator
Vulnerability score calculation

Predictive Modeling:

Machine learning model for outbreak prediction
Risk heatmap based on coverage gaps + recent trends
Scenario planning: "What if coverage drops 5%?"

Live Data Integration:

WHO/UNICEF API connection
Real-time updates (quarterly)
Data refresh button
Version/timestamp display

Advanced Interactions:

3D bar charts rising from country locations (Deck.gl)
Animated transitions between years (smooth morphing)
VR mode for immersive exploration
Export to video (year-by-year animation)

Lessons Learned

What Worked Well

Flattened Data Structure:
- Simple filtering logic
- Fast rendering
- Easy to debug
Single Popup Pattern:
- No flickering issues
- Smooth user experience
- Learned directly from Mapbox example
Dark Theme:
- Reduces eye strain
- Looks professional
- Matches scientific visualization conventions
Shared Architecture:
- Reusing MAPBOX_CONFIG saved time
- Consistent patterns across project

Challenges Encountered

Antimeridian Handling:
- Initially forgot coordinate correction logic
- Mapbox example showed the solution
- Now implemented correctly
Color Scale Calibration:
- Needed multiple iterations to find readable colors
- Final palette balances visibility with semantic meaning
Population Sizing:
- Linear scaling made India/China too dominant
- Exponential 0.5 (square root) provided better balance

Key Takeaways

Web research is invaluable:
- Official examples show best practices
- Following established patterns prevents bugs
- Documentation is key to future maintenance
Data quality matters:
- Realistic data generation creates credible visualization
- Epidemiological parameters add authenticity
- Time investment in data pays off in insights
Progressive complexity:
- Foundation iteration should be simple but complete
- Each feature should work perfectly before adding more
- Future iterations can build on solid base

Maintenance Notes

Updating Mapbox Version

If updating to newer Mapbox GL JS:

Check changelog for breaking changes
Update CDN links in HTML
Test popup API (may change)
Verify globe projection compatibility
Test setFilter() behavior

Updating Data

To refresh with real WHO data:

Download WUENIC estimates (Excel format)
Parse to extract MCV1/MCV2 coverage by country/year
Join with WHO measles surveillance data for cases/deaths
Replace generateMeaslesData() function with parser
Maintain same property schema

Adding Countries

To add more countries:

Look up lat/lng coordinates
Determine WHO region and income level
Find baseline coverage from WUENIC
Add to countries array in generateMeaslesData()
Test for overlap with existing circles

Attribution

Web Learning:

Source: Mapbox GL JS Examples
URL: https://docs.mapbox.com/mapbox-gl-js/example/popup-on-hover/
Pattern: Hover popup with mouseenter/mouseleave events
Applied: Country information display on hover

Data Sources:

WHO/UNICEF Estimates of National Immunization Coverage (WUENIC)
WHO Measles & Rubella Surveillance Data
World Bank Development Indicators

Technologies:

Mapbox GL JS v3.0.1
Shared architecture from /mapbox_test/shared/

License: This visualization is created for educational and demonstration purposes. Data is synthetically generated based on real-world parameters. For production use, please obtain authoritative data from WHO and national health agencies.

Created: 2025-11-08 Iteration: 1 (Foundation) Status: Complete and functional Next Iteration: Add auto-play timeline animation

22 KiB Raw Blame History Unescape Escape

Technical Documentation: Measles Vaccination Timeline Visualization

Project Metadata

Architecture Overview

File Structure

Dependencies

Web Learning Application

Research Assignment

Techniques Extracted

1. Single Popup Instance Pattern

2. MouseEnter Event Handler

3. MouseLeave Event Handler

4. Feature Identification

5. Cursor Styling

Pattern Verification

Data Architecture

GeoJSON Structure

Data Generation Logic

Visual Encoding

Color Scale (Coverage-Based)

Size Scale (Population-Based)

Layer Stack

Timeline Control Implementation

HTML5 Range Input

Filter Update Logic

Custom Slider Styling

Globe Configuration

Projection & Initial View

Atmosphere (Dark Theme)

Globe Rotation Animation

Popup Styling

Dark Theme Integration

Content Structure

Performance Optimizations

1. Filter-Based Rendering

2. Single Popup Instance

3. Embedded Data

4. Event Debouncing

5. Vector Rendering

Browser Compatibility

Code Quality

ES6 Module Usage

Commenting Strategy

Variable Naming

Testing Recommendations

Manual Testing Checklist

Edge Cases to Test

Future Enhancement Roadmap

Iteration 2 (Intermediate)

Iteration 3 (Advanced)

Iteration 4 (Expert)

Lessons Learned

What Worked Well

Challenges Encountered

Key Takeaways

Maintenance Notes

Updating Mapbox Version

Updating Data

Adding Countries

Attribution

22 KiB

Raw Blame History