Brown H E, Wrench E, Wolfe K, Moore T C, Tangena J A, Sedda L
Department of Epidemiology and Biostatistics, The University of Arizona, Mel and Enid Zuckerman College of Public Health, 1295 N Martin Ave, Tucson, AZ, 85724, USA.
Lancaster Ecology and Epidemiology Group, Lancaster Medical School, Health Innovation One, Lancaster University, Sir John Fisher Drive, Lancaster, LA1 4AT, UK.
Parasit Vectors. 2025 Apr 17;18(1):143. doi: 10.1186/s13071-025-06751-w.
Despite the growing complexity, computational power, and mapping capacity incorporated into vector-borne disease models, they still do not fully elucidate the role of environmental, demographic, socioeconomic, or other drivers, and rarely directly inform vector control efforts. To understand how we can improve the utility of vector-borne disease models for vector control activities, we interviewed vector control agents from the United States (USA) and the European Union.
Between July and December 2023, in-depth interviews were held using a geographically targeted convenience sample with 26 individuals from organizations involved in vector control operations: 12 in the USA and 14 in the EU. We used both deductive and inductive coding of transcribed interviews to identify themes with the goal of understanding barriers to model use and uptake.
Despite the recognition that models could be useful, few interviewees reported that models informed surveillance and control activities, citing a mismatch in spatial and temporal scale between model outputs and operational decisions or a general lack of accessibility. Interviewees reported relying on experienced field experts and legacy protocols. Despite these critiques, there is belief that models can support operational decision-making.
The disconnect between models and users can be improved by allowing time and resources to build collaborative relationships, by acknowledging the knowledge all members bring, and by ensuring clear communication and mutual respect. Modelers must shift their focus by aligning vector-borne disease models with operational needs.
尽管媒介传播疾病模型的复杂性、计算能力和绘图能力不断提高,但它们仍未充分阐明环境、人口、社会经济或其他驱动因素的作用,也很少直接为病媒控制工作提供信息。为了了解如何提高媒介传播疾病模型在病媒控制活动中的效用,我们采访了来自美国和欧盟的病媒控制人员。
2023年7月至12月期间,我们采用地理定位便利抽样法,对来自参与病媒控制行动的组织的26人进行了深入访谈:美国12人,欧盟14人。我们对访谈记录进行了演绎和归纳编码,以确定主题,目的是了解模型使用和推广的障碍。
尽管认识到模型可能有用,但很少有受访者表示模型为监测和控制活动提供了信息,理由是模型输出与业务决策在空间和时间尺度上不匹配,或者普遍缺乏可及性。受访者表示依赖经验丰富的现场专家和传统协议。尽管有这些批评,但人们相信模型可以支持业务决策。
通过留出时间和资源来建立合作关系、承认所有成员所带来的知识,并确保清晰的沟通和相互尊重,可以改善模型与用户之间的脱节。建模人员必须通过使媒介传播疾病模型与业务需求保持一致来转移其重点。