Editing Epidemiology (section)

== <span style="color: #FFFFFF;">Applying</span> ==
'''Modeling 'Infection Spread' (The SIR Model):'''
<syntaxhighlight lang="python">
def estimate_new_cases(susceptible, infected, r0_value, recovery_rate):
    """
    Simplified SIR (Susceptible, Infected, Recovered) logic.
    """
    # New infections depend on how many people are 'left' to catch it
    prob_infection = (r0_value * recovery_rate) / susceptible if susceptible > 0 else 0
    new_infections = int(infected * susceptible * prob_infection)
    
    # People recovering
    new_recoveries = int(infected * recovery_rate)
    
    return {
        "New Infections": new_infections,
        "New Recoveries": new_recoveries,
        "Remaining Susceptible": susceptible - new_infections
    }

# Small town of 1000, 10 infected, R0 of 2.5
print(estimate_new_cases(1000, 10, 2.5, 0.1))
# This is how we 'Flatten the Curve'—by reducing R0 (masks, 
# distance) to prevent hospitals from being overwhelmed.
</syntaxhighlight>

; Iconic Investigations
: '''John Snow (1854)''' → The "Father of Epidemiology"; he traced a cholera outbreak in London to a single water pump, proving it was waterborne, not "bad air."
: '''The Framingham Heart Study''' → A decades-long study that first identified high blood pressure and cholesterol as risks for heart disease.
: '''The Smallpox Eradication''' → A global effort that used "Ring Vaccination" (vaccinating everyone around a single case) to wipe a disease off the planet.
: '''Ebola 2014''' → Anthropologists and epidemiologists working together to adapt burial rituals to stop the spread of a deadly virus.
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