10.60507/FK2/HJPDE6 Nabatanzi, Maureen Maureen Nabatanzi https://orcid.org/0000-0002-9801-4210 University of Bonn bonndata 2025 Agricultural Sciences Earth and Environmental Sciences Medicine, Health and Life Sciences Nabatanzi, Maureen Maureen Nabatanzi University of Bonn Prof. Dr. Lisa Biber-Freudenberger Lisa Dr. Lisa Biber-Freudenberger 2025 2025-09-04 2025-12-19 Qualitative and quantitative 10.60507/FK2/HJPDE6/24BX5A 10.60507/FK2/HJPDE6/BKRKOK 10.60507/FK2/HJPDE6/30NGJB 591449 29710 6353 application/vnd.openxmlformats-officedocument.spreadsheetml.sheet application/vnd.openxmlformats-officedocument.spreadsheetml.sheet text/plain 1.0 Creative Commons CC0 1.0 Universal Public Domain Dedication. In this study, we applied Bayesian Decision Modelling to evaluate how different policy interventions may reduce arboviral disease risk in Uganda. This dataset comprises the results of the policy analysis we conducted to identify and compare the potential Ugandan policy options that could reduce the risk of arboviral disease emergence. During workshops, multidisciplinary experts reviewed these policies and identified disease preventive interventions. Experts also assessed the influence of 29 preventive actions on disease risk under four policy options and made decisions on their probability of implementation under the policy options. We present the experts' conditional probabilities that were subsequently used in Bayesian Decision Modelling. Microsoft Excel, 2019 Uganda German Research Foundation (DFG)