Research theme · 4 selected briefs
These projects use aggregate, public or approved records and specify case definitions, denominator, time window and data provenance.
An analysis of public aggregate data does not diagnose individuals or establish a cause. Missing reports, changing definitions and denominator quality can alter apparent rates.
Community Health · Population health surveillance
This Community Health final year project examines compatibility of population denominators and reporting periods behind published community-health rates using public reports and official population estimates with traceable definitions and dates, with the evidence and comparison limited to an agreed scope.
Read the proposed briefDemography and Social Statistics · Epidemiologic methods
This Demography and Social Statistics final year project examines the effect of age-category differences on descriptive comparison of public surveillance tables using official aggregate tables with age bands, dates and population definitions available for inspection, with the evidence and comparison limited to an agreed scope.
Read the proposed briefHealth Information Management · Epidemiologic data quality
This Health Information Management final year project examines the sensitivity of descriptive surveillance summaries to missing fields in a fictional dataset using generated records with labelled missingness patterns and no real patient information, with the evidence and comparison limited to an agreed scope.
Read the proposed briefPublic Health · Applied epidemiology
This Public Health final year project examines case-definition and reporting-period consistency in public surveillance bulletins using official dated public bulletins and the primary-source case-definition documents they cite, with the evidence and comparison limited to an agreed scope.
Read the proposed brief