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Ascertainment of community exposure sites to Ross River virus during the 2020 outbreak in Brisbane, Australia
The Journal of Infectious Diseases ( IF 5.0 ) Pub Date : 2024-11-26 , DOI: 10.1093/infdis/jiae578
Tatiana Proboste, Damber Bista, Nicholas J Clark, Sahil Arora, Gregor Devine, Jonathan M Darbro, Deena S Malloy, Daniel Francis, Ricardo J Soares Magalhães

This study investigated potential Ross River virus (RRV) exposure sites in Greater Brisbane during the Queensland COVID-19 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 hotspots whereby highly interconnected areas had more RRV cases during lockdown. While environmental conditions within RRV hot-spot were less significant compared to 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 pre-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.

中文翻译:


确定澳大利亚布里斯班 2020 年疫情暴发期间罗斯河病毒的社区暴露地点



本研究调查了昆士兰州 COVID-19 封锁期间(2020 年 1 月至 7 月)大布里斯班潜在的罗斯河病毒 (RRV) 暴露地点。该研究使用 RRV 通知、集群识别技术和手机数据进行移动网络分析,检查了 993 例 RRV 病例和 900 万条来自住宅 RRV 集群区域(热点)的运动轨迹。研究结果表明,人口流动是热点地区 RRV 发病率的关键风险因素,其中高度互连的地区在封锁期间有更多的 RRV 病例。虽然 RRV 热点内的环境条件与其连通性相比不太重要,但植被密度较高的区域的 RRV 病例较少。该研究还指出,来自 RRV 热点的个人在锁定前在绿色区域停留的时间少于锁定期间和之后。结果表明,人口流动显着影响了 2020 年 RRV 爆发。这些见解有助于根据本研究中确定的目标区域调整当前的病媒控制和监测方案。
更新日期:2024-11-26
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