Biography
Christina Mergenthaler is an epidemiologist at KIT Royal Tropical Institute, where she works on comparing and evaluating modelling approaches for efficient TB case finding. As a member of KIT’s Center for Applied Spatial Epidemiology (KIT-CASE), she analyzes subnational TB spatial trends, hotspots and anomalies to better inform strategic decision making, planning and prioritization of TB programs and active case-finding.
Key Impacts
A retrospective evaluation of the MATCH AI model for prediction of TB positivity rates in active case finding settings of Pakistan
While the model’s predictive accuracy did not improve over time, results of the stratified analysis of residuals shed light on potential model misspecifications. Results of the analysis contain important learnings about how machine learning models can more accurately prioritize ACF at the local level in resource constrained environments.
Source: Conference 2024