Goh Brendon, Ching Koek, Soares Magalhães Ricardo J, Ciocchetta Silvia, Edstein Michael D, Maciel-de-Freitas Rafael, Sikulu-Lord Maggy T
School of Public Health, Faculty of Medicine, The University of Queensland, Brisbane, Australia.
UQ Spatial Epidemiology Laboratory, School of Veterinary Science, The University of Queensland, Brisbane, Australia.
PLoS Negl Trop Dis. 2021 Apr 22;15(4):e0009218. doi: 10.1371/journal.pntd.0009218. eCollection 2021 Apr.
The potential of RS as a surveillance tool for malaria and arbovirus vectors and MIRS for the diagnosis and surveillance of arboviruses is yet to be assessed. NIRS capacity as a surveillance tool for malaria and arbovirus vectors should be validated under field conditions, and its potential as a diagnostic tool for malaria and arboviruses needs to be evaluated. It is recommended that all 3 techniques evaluated simultaneously using multiple machine learning techniques in multiple epidemiological settings to determine the most accurate technique for each application. Prior to their field application, a standardised protocol for spectra collection and data analysis should be developed. This will harmonise their application in multiple field settings allowing easy and faster integration into existing disease control platforms. Ultimately, development of rapid and cost-effective point-of-care diagnostic tools for malaria and arboviruses based on spectroscopy techniques may help combat current and future outbreaks of these infectious diseases.
遥感技术作为疟疾和虫媒病毒媒介监测工具的潜力以及近红外光谱技术用于虫媒病毒诊断和监测的潜力尚待评估。近红外光谱技术作为疟疾和虫媒病毒媒介监测工具的能力应在实地条件下进行验证，其作为疟疾和虫媒病毒诊断工具的潜力也需要评估。建议在多种流行病学环境中同时使用多种机器学习技术对这三种技术进行评估，以确定每种应用中最准确的技术。在实地应用之前，应制定光谱采集和数据分析的标准化方案。这将使它们在多个实地环境中的应用更加协调一致，便于轻松、快速地整合到现有的疾病控制平台中。最终，基于光谱技术开发快速且经济高效的疟疾和虫媒病毒即时诊断工具可能有助于应对这些传染病当前和未来的爆发。
