Exploring the data

Summary of Routine Immunization Coverage by Antigens in Africa 2024

Immunization is a global health success story, saving millions of lives every year. Vaccines reduce risks of getting a disease by working with your body’s natural defenses to build protection. When you get a vaccine, your immune system responds.

The Immunization Vaccine Coverage is calculated using population data for respective countries, including live births, population under 1 year, and other relevant demographic age groups.

barChartData = await FileAttachment("data/coverage_country.csv").csv({ typed: true })

// Extract unique antigens for the dropdown
barChartAntigens = Array.from(new Set(barChartData.map(d => d.antigen)))

// Create a dropdown menu for antigen selection
viewof selectedBarChartAntigen = Inputs.select(barChartAntigens, { label: "Select Antigen" })

// Filter data based on selected antigen and sort by coverage
filteredBarChartData = barChartData
  .filter(d => d.year === 2023 && d.country !== "Kenya") // Apply filtering
  .sort((a, b) => b.coverage - a.coverage) // Sort by descending coverage

// Further filter based on the selected antigen
finalBarChartData = filteredBarChartData.filter(d => d.antigen === selectedBarChartAntigen)

// Create the bar chart
Plot.plot({
  marks: [
    // Bars for coverage
    Plot.barX(finalBarChartData, { 
      y: "country", 
      x: "coverage", 
      fill: "#05688b", 
      inset: 1, // Add gap between bars
      title: d => `${d.country}: ${d.coverage}%` // Tooltip shows the value in percentage
    }),

    // Target line at 90%
    Plot.ruleX([90], { 
      stroke: "red", 
      strokeWidth: 2, 
      strokeDasharray: "4 4", 
      label: "Target >= 90%" 
    })
  ],
  x: {
    tickFormat: d => `${d}%`, // Ensure x-axis ticks are displayed as percentages
    ticks: 10, // Set tick increments to 10
    label: null, // Remove x-axis label
    labelFontSize: 26, // Increase font size of x-axis label
    tickLabelFontSize: 26 // Increase font size of y-axis labels

  },
  y: {
    tickSize: 5,
    label: null, // Remove y-axis title
    labelFontSize: 26, // Increase font size of x-axis label
    tickLabelFontSize: 26 // Increase font size of y-axis labels
  },
  legend: {
    position: "right",
    align: "center", // Center the legend vertically
    marginRight: 200 // Add space for the legend
  },
  marginLeft: 150, // Increase left margin for long country names
  marginRight: 250, // Add margin for narrative information
  width: 1200, // Increase width to fit narrative information
  height: 500 // Increase height to fit all countries
})

Data Source:
Data are based on submissions received from member states through the Country offices and ISTs via DHIS2.
that includes monthly aggregate routine immunization summaries.

Annual Immunization Coverage inter-conected Antigens

OPV, OPV1, OPV3, MCV1, MCV2 vaccines are part of the Expanded Program on Immunization (EPI) implemented globally to reduce childhood mortality from vaccine-preventable diseases.

The doses are strategically scheduled at specific intervals (e.g., birth, 6 weeks, 14 weeks, 9 months) to maximize immune response and provide comprehensive protection.

lineChartData = await FileAttachment("data/coverage_country.csv").csv({ typed: true })

// Extract unique countries for the dropdown
countries = Array.from(new Set(lineChartData.map(d => d.country)))

// Create a dropdown menu for country selection
viewof selectedCountry = Inputs.select(countries, { label: "Select Country" })

// Filter data based on the selected country and antigens
lineChartAntigens = ["OPV", "OPV1", "OPV3", "MCV1", "MCV2"]

filteredLineChartData = lineChartData
  .filter(d => d.country === selectedCountry && lineChartAntigens.includes(d.antigen))

// Extract unique integer years for the x-axis
years = Array.from(new Set(filteredLineChartData.map(d => Math.floor(d.year)))).sort((a, b) => a - b)

// Create the line chart
Plot.plot({
  marks: [
    // Lines for coverage by antigen
    Plot.line(filteredLineChartData, {
      x: "year", 
      y: "coverage", 
      stroke: "antigen", // Color lines by antigen
      strokeWidth: 2, 
      title: d => `${d.antigen}: ${d.coverage}% in ${d.year}`
    }),
    // Points for each data value
    Plot.dot(filteredLineChartData, {
      x: "year", 
      y: "coverage", 
      stroke: "antigen", 
      fill: "antigen",
      title: d => `${d.antigen}: ${d.coverage}% in ${d.year}`
    }),
    // Target line at 90%
    Plot.ruleY([90], {
      stroke: "red", 
      strokeWidth: 2, 
      strokeDasharray: "4 4", 
      label: "Target >= 90%"
    })
  ],
  x: {
    label: "Year", // Add x-axis label
    tickValues: years, // Only show valid whole years as ticks
    tickFormat: d => `${d}`, // Display ticks as integers
    tickLabelFontSize: 1 // Font size for tick labels
  },
  y: {
    label: "Coverage (%)",
    tickFormat: d => `${d}%`, // Display y-axis values as percentages
    ticks: 10, // Set tick increments to 10
    tickLabelFontSize: 16
  },
  color: {
    legend: true, // Enable legend
    scheme: "set2", // Use a distinct color scheme
    legendPosition: "right", // Position legend to the right
    align: "center" // Align legend to the vertical center
  },
  
  marginLeft: 80, // Adjust left margin for y-axis labels
  marginRight: 120, // Adjust right margin for legend
  width: 900,
  height: 500
})

Data Source:
Data are based on submissions received from member states through the Country offices and ISTs via DHIS2.
The data includes monthly aggregate routine immunization summaries shared by country offices through the ISTs.

Coverage and Total of District target for PCV1 and PCV2

The visual present the coverage and total of district that participated in the PCV1 and PCV2 vaccination campaign and the treshold archived in total of district. This visual analysis focus only in Angola country.

Data Source:
Data are based on submissions received from member states through the Country offices and ISTs via DHIS2.
The data includes monthly aggregate routine immunization summaries shared by country offices through the ISTs.