Castonguay François M, Chesson Harrell W, Jeon Seonghye, Rainisch Gabriel, Fischer Leah S, Adhikari Biswha B, Kahn Emily B, Greening Bradford, Gift Thomas L, Meltzer Martin I
Health Economics and Modeling Unit, Division of Preparedness and Emerging Infections, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia.
Department of Health Management, Evaluation and Policy, School of Public Health, University of Montréal, Montréal, Québec, Canada.
AJPM Focus. 2023 Sep 25;3(1):100147. doi: 10.1016/j.focus.2023.100147. eCollection 2024 Feb.
During the COVID-19 pandemic, the U.S. Centers for Disease Control and Prevention developed a simple spreadsheet-based tool to help state and local public health officials assess the performance and impact of COVID-19 case investigation and contact tracing in their jurisdiction. The applicability and feasibility of building such a tool for sexually transmitted diseases were assessed.
The key epidemiologic differences between sexually transmitted diseases and respiratory diseases (e.g., mixing patterns, incubation period, duration of infection, and the availability of treatment) were identified, and their implications for modeling case investigation and contact tracing impact with a simple spreadsheet tool were remarked on. Existing features of the COVID-19 tool that are applicable for evaluating the impact of case investigation and contact tracing for sexually transmitted diseases were also identified.
Our findings offer recommendations for the future development of a spreadsheet-based modeling tool for evaluating the impact of sexually transmitted disease case investigation and contact tracing efforts. Generally, we advocate for simplifying sexually transmitted disease-specific complexities and performing sensitivity analyses to assess uncertainty. The authors also acknowledge that more complex modeling approaches might be required but note that it is possible that a sexually transmitted disease case investigation and contact tracing tool could incorporate features from more complex models while maintaining a user-friendly interface.
A sexually transmitted disease case investigation and contact tracing tool could benefit from the incorporation of key features of the COVID-19 model, namely its user-friendly interface. The inherent differences between sexually transmitted diseases and respiratory viruses should not be seen as a limitation to the development of such tool.
在新冠疫情期间，美国疾病控制与预防中心开发了一种基于电子表格的简易工具，以帮助州和地方公共卫生官员评估其辖区内新冠病例调查及接触者追踪的成效和影响。本研究评估了构建此类性传播疾病工具的适用性和可行性。
确定了性传播疾病与呼吸道疾病在流行病学方面的关键差异（如传播模式、潜伏期、感染持续时间和治疗可用性），并阐述了这些差异对使用简易电子表格工具模拟病例调查及接触者追踪影响的意义。还确定了新冠工具中适用于评估性传播疾病病例调查及接触者追踪影响的现有功能。
我们的研究结果为未来开发基于电子表格的建模工具以评估性传播疾病病例调查及接触者追踪工作的影响提供了建议。总体而言，我们主张简化性传播疾病特有的复杂性并进行敏感性分析以评估不确定性。作者还承认可能需要更复杂的建模方法，但指出性传播疾病病例调查及接触者追踪工具可能在保持用户友好界面的同时纳入更复杂模型的功能。
性传播疾病病例调查及接触者追踪工具可受益于纳入新冠模型的关键特性，即其用户友好界面。性传播疾病与呼吸道病毒之间的固有差异不应被视为开发此类工具的限制。
