Editor-in-Chief, Global Health: Science and Practice, and Associate Professor, School of Public Health, University of Alberta, Edmonton, Alberta, Canada.
Glob Health Sci Pract. 2017 Dec 28;5(4):530-533. doi: 10.9745/GHSP-D-17-00444.
While modeling approaches seek to draw on the best available evidence to project health impact of improved coverage of specific interventions, uncertainty around the outputs often remains. When the modeling estimates are used for advocacy, these uncertainties should be communicated to policy makers clearly and openly to ensure they understand the model's limits and to maintain their confidence in the process.
虽然建模方法旨在利用现有最佳证据来预测特定干预措施覆盖范围提高对健康的影响，但输出结果的不确定性仍然存在。当建模估计值用于宣传时，应向决策者明确和公开地传达这些不确定性，以确保他们了解模型的局限性，并保持对该过程的信心。
