Uncertainty exists due to a combination of factors: - Incomplete Data: Data collection may be inconsistent or incomplete, leading to gaps in understanding. - Model Assumptions: Epidemiological models rely on assumptions that may not hold true in all scenarios. - Pathogen Evolution: Pathogens can mutate, affecting transmissibility and virulence. - Human Behavior: Predicting human behavior, such as adherence to public health measures, adds another layer of complexity.
