Incorporating underreporting of epidemiological burden in COVID-19 models: a targeted literature review

This review identified 14 modelling studies reporting numerical adjustment factors. The studies used diverse approaches and adjustment factors, reflecting variability in data availability and estimation methods. Recognizing and standardizing these adjustments is crucial for improving the accuracy and comparability of health economic analyses that inform policy decisions. Further research could refine underreporting estimates and assess their impact on economic model outcomes.