Statistics | Probability | Optimization | Epidemic Modeling
Modeling an epidemic as a probabilistic phenomenon
Epidemic Modeling Insights: A Probabilistic Approach
“Pandemics and epidemics demonstrated us why component of randomness in modeling needs to be taken more seriously” — my thoughts
In recent times, the world has been grappling with the COVID-19 pandemic, which has affected millions of people globally. One of the key challenges in managing and controlling an epidemic is understanding how it spreads and the factors that influence its transmission. One way to gain this understanding is by modeling an epidemic as a probabilistic phenomenon.
Probabilistic modeling is a branch of statistics that involves using probability distributions to model random events. In the context of epidemics, probabilistic modeling involves using probability distributions to describe the likelihood of transmission and infection of disease. This approach is useful because epidemics are inherently stochastic, meaning that the spread of the disease is influenced by random events such as the movement of infected individuals or the effectiveness of interventions such as social distancing or…
