Proboste Tatiana, Bista Damber, Clark Nicholas J, Arora Sahil, Devine Gregor, Darbro Jonathan M, Malloy Deena S, Francis Daniel, Soares Magalhães Ricardo J
Queensland Alliance for One Health Sciences, School of Veterinary Science, University of Queensland, Gatton, Queensland, Australia.
Institute for Life Sciences and the Environment, University of Southern Queensland, Toowoomba, Queensland, Australia.
J Infect Dis. 2025 Mar 17;231(3):e501-e510. doi: 10.1093/infdis/jiae578.
This study investigated potential Ross River virus (RRV) exposure sites in Greater Brisbane during the Queensland coronavirus disease 2019 lockdown (January-July 2020). Using RRV notifications, cluster identification techniques, and mobile phone data for movement network analysis, the study examined 993 RRV cases and 9 million movement trajectories from residential RRV cluster areas (hot spots). The findings revealed that population movement was a key risk factor to RRV incidence within hot spots, whereby highly interconnected areas had more RRV cases during lockdown. While environmental conditions within RRV hot spots were less significant compared with their connectivity, areas with higher vegetation density had fewer RRV cases. The study also noted that individuals from RRV hot spots spent less time in green areas before lockdown than during and after lockdown. The results suggest that population movement significantly influenced the 2020 RRV outbreak. These insights can help adapt current vector control and surveillance protocols to target areas identified in this study.
本研究调查了2020年1月至7月昆士兰冠状病毒病封锁期间大布里斯班地区潜在的罗斯河病毒（RRV）暴露地点。该研究利用RRV通报、聚类识别技术以及用于移动网络分析的手机数据，对993例RRV病例和来自RRV居住聚集区（热点地区）的900万条移动轨迹进行了研究。研究结果显示，人口流动是热点地区RRV发病的关键风险因素，在封锁期间，高度互联的地区有更多的RRV病例。虽然RRV热点地区的环境条件与其连通性相比不太显著，但植被密度较高的地区RRV病例较少。该研究还指出，来自RRV热点地区的个体在封锁前在绿地中度过的时间比封锁期间和封锁后要少。结果表明，人口流动对2020年RRV疫情有显著影响。这些见解有助于调整当前的病媒控制和监测方案，以针对本研究中确定的目标区域。
