SNA is crucial in Epidemiology for several reasons:
1. Understanding Disease Transmission: By mapping the connections between individuals, SNA helps identify how diseases spread through populations. 2. Identifying Super Spreaders: Certain individuals, known as super spreaders, play a disproportionate role in the transmission of infectious diseases. SNA helps in identifying these key nodes. 3. Informing Intervention Strategies: By understanding the structure of social networks, public health officials can design more effective intervention strategies, such as targeted vaccinations or quarantine measures. 4. Predicting Outbreaks: SNA can be used to model potential outbreaks and predict how diseases might spread within a network.
