.morbidity-calculator-container {
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
max-width: 800px;
margin: 0 auto;
background-color: #f9fbfd;
border: 1px solid #e1e4e8;
border-radius: 8px;
padding: 30px;
box-shadow: 0 4px 12px rgba(0,0,0,0.05);
}
.morbidity-calc-header {
text-align: center;
margin-bottom: 25px;
color: #2c3e50;
}
.morbidity-calc-header h2 {
margin: 0;
font-size: 24px;
color: #0056b3;
}
.calc-form-group {
margin-bottom: 20px;
}
.calc-form-group label {
display: block;
margin-bottom: 8px;
font-weight: 600;
color: #34495e;
}
.calc-form-group input, .calc-form-group select {
width: 100%;
padding: 12px;
border: 1px solid #bdc3c7;
border-radius: 4px;
font-size: 16px;
box-sizing: border-box;
transition: border-color 0.3s;
}
.calc-form-group input:focus, .calc-form-group select:focus {
border-color: #0056b3;
outline: none;
}
.calc-btn {
width: 100%;
padding: 14px;
background-color: #0056b3;
color: white;
border: none;
border-radius: 4px;
font-size: 18px;
font-weight: bold;
cursor: pointer;
transition: background-color 0.3s;
}
.calc-btn:hover {
background-color: #004494;
}
#morbidityResult {
margin-top: 25px;
padding: 20px;
background-color: #ffffff;
border-left: 5px solid #0056b3;
border-radius: 4px;
display: none;
box-shadow: 0 2px 5px rgba(0,0,0,0.05);
}
.result-value {
font-size: 28px;
font-weight: bold;
color: #2c3e50;
}
.result-label {
font-size: 14px;
color: #7f8c8d;
margin-top: 5px;
}
.error-msg {
color: #e74c3c;
font-weight: bold;
display: none;
margin-top: 10px;
}
.content-section {
margin-top: 50px;
line-height: 1.6;
color: #333;
}
.content-section h3 {
color: #0056b3;
border-bottom: 2px solid #ecf0f1;
padding-bottom: 10px;
margin-top: 30px;
}
.formula-box {
background: #f0f4f8;
padding: 15px;
border-radius: 5px;
font-family: monospace;
margin: 15px 0;
border-left: 4px solid #2980b9;
}
function updateLabels() {
var type = document.getElementById('caseType').value;
var casesLabel = document.getElementById('casesLabel');
var popLabel = document.getElementById('popLabel');
if (type === 'incidence') {
casesLabel.innerText = "Number of New Cases (over specific period)";
popLabel.innerText = "Population at Risk";
} else {
casesLabel.innerText = "Number of Existing Cases (at specific point)";
popLabel.innerText = "Total Population";
}
}
function calculateMorbidity() {
// Get Input Values
var casesInput = document.getElementById('numCases').value;
var populationInput = document.getElementById('populationSize').value;
var multiplier = parseFloat(document.getElementById('multiplierVal').value);
var resultDiv = document.getElementById('morbidityResult');
var errorDiv = document.getElementById('errorDisplay');
var rateValueDiv = document.getElementById('rateValue');
var rateTextDiv = document.getElementById('rateText');
// Parse numbers
var cases = parseFloat(casesInput);
var population = parseFloat(populationInput);
// Validation
if (isNaN(cases) || isNaN(population) || population <= 0 || cases < 0) {
errorDiv.style.display = 'block';
resultDiv.style.display = 'none';
return;
}
// Logic
errorDiv.style.display = 'none';
var rawRate = cases / population;
var calculatedRate = rawRate * multiplier;
// Format number (up to 2 decimals usually sufficient for these stats)
// If the number is very small, we might need more precision, but standard reporting is usually 1 or 2 decimals.
var displayRate = calculatedRate.toLocaleString('en-US', { minimumFractionDigits: 2, maximumFractionDigits: 2 });
// Update UI
rateValueDiv.innerText = displayRate;
var multiplierText = "";
if (multiplier === 100) multiplierText = "100 (Percentage)";
else if (multiplier === 1000) multiplierText = "1,000";
else if (multiplier === 10000) multiplierText = "10,000";
else if (multiplier === 100000) multiplierText = "100,000";
rateTextDiv.innerText = "cases per " + multiplierText + " population";
resultDiv.style.display = 'block';
}
Morbidity Rate Calculator
Calculate Prevalence and Incidence rates for epidemiological analysis.
Incidence Rate (New Cases)
Prevalence Rate (All Existing Cases)
Per 100 (Percentage %)
Per 1,000
Per 10,000
Per 100,000
Please enter valid positive numbers for cases and population.
Calculated Morbidity Rate:
0.00
cases per 100,000 population
Understanding Morbidity Rate
The morbidity rate is a critical statistic in epidemiology that measures the frequency of disease or illness within a specific population. Unlike mortality rate, which tracks death, morbidity tracks the health status and the prevalence of disease. Public health officials use these metrics to determine the burden of a disease on society and to plan healthcare resources effectively.
Incidence vs. Prevalence
This calculator handles the two primary types of morbidity measures:
- Incidence Rate: Measures the number of new cases of a disease that develop during a specific time period within a population at risk. This is useful for tracking the spread of acute outbreaks (e.g., influenza or COVID-19).
- Prevalence Rate: Measures the total number of existing cases (both new and old) at a specific point in time. This is useful for understanding the burden of chronic conditions (e.g., diabetes or hypertension).
The Formula
The general formula for calculating a morbidity rate is:
Rate = ( Number of Cases / Population Size ) × Multiplier
Where:
- Number of Cases: Either new cases (incidence) or existing cases (prevalence).
- Population Size: The total population or the specific group at risk of contracting the disease.
- Multiplier (K): A scaling factor (usually 1,000, 10,000, or 100,000) used to make the result a whole number that is easier to interpret.
Calculation Example
Imagine a town with a population of 50,000 people. In the year 2023, doctors diagnose 200 new cases of a specific respiratory illness.
To calculate the Incidence Rate per 1,000 people:
- Divide cases by population: 200 / 50,000 = 0.004
- Multiply by standard factor (1,000): 0.004 × 1,000 = 4
The morbidity rate is 4 cases per 1,000 population.
Why Use a Standard Multiplier?
Raw ratios (like 0.004) are difficult for the general public to visualize. By converting this to "4 per 1,000" or "400 per 100,000," health organizations can communicate risk more clearly. Common multipliers include:
- Per 100 (%): Used for very common conditions.
- Per 1,000: Used for birth rates and common illnesses.
- Per 100,000: The standard for cancer registries and rare diseases.