Surveillance gaps can have several negative impacts on public health:
Delayed Outbreak Detection: Incomplete data can delay the identification of emerging disease outbreaks, leading to wider spread and increased morbidity and mortality. Inaccurate Risk Assessment: Gaps in data can result in skewed risk assessments, affecting policy decisions and resource allocation. Ineffective Interventions: Public health interventions may be less effective if they are based on incomplete or inaccurate data. Reduced Public Trust: Inconsistent or missing data can erode public trust in health authorities and their recommendations.
