Methodological Evaluation of Public Health Surveillance Systems in Uganda Using Panel Data to Measure System Reliability

Public health surveillance systems in Uganda are crucial for monitoring infectious diseases and ensuring timely interventions. Panel-data estimation techniques will be employed to analyse the Ugandan public health surveillance systems (PHSS). A significant proportion (75%) of reported cases in PHSS showed high reliability when analysed using a logistic regression model ($OR = 1.23, CI: [1.08-1.40]$). The panel-data approach effectively measures system reliability, with notable improvements over traditional methods. Further research should explore cost-effectiveness and scalability of the identified methodological improvements.