Public health officials depend on timely, complete, and accurate surveillance data for decision making. The quality of data generated from surveillance is highly dependent on external and internal factors which may either impede or enhance surveillance activities. One way of identifying challenges affecting the quality of data generated is to conduct a data quality audit. This case study, based on an audit conducted by residents of the Liberia Frontline Field Epidemiology Training Program, was designed to be a classroom simulation of a data quality audit in a health facility. It is suited to enforce theoretical lectures in surveillance data quality and auditing. The target group is public health trainees, who should be able to complete this exercise in approximately 2 hours and 30 minutes.
About Us
The Liberia Field Epidemiology Training Program (LFETP) began in August 2015. The program is funded by the U.S. Centers for Disease Control and Prevention (CDC) and implemented by the African Field Epidemiology Network (AFENET). Emory University was instrumental and directly involved in standing up and implementing the program for the first year of LFETP’s existence.