Faculty of ICT, Mahidol University, Nakhon Pathom, Thailand.
Bremen Spatial Cognition Center, University of Bremen, Bremen, Germany.
PLoS One. 2021 Feb 3;16(2):e0245842. doi: 10.1371/journal.pone.0245842. eCollection 2021.
Thailand is among the top five countries with effective COVID-19 transmission control. This study examines how news of presence of COVID-19 in Thailand, as well as varying levels of government restriction on movement, affected human mobility in a rural Thai population along the border with Myanmar.
This study makes use of mobility data collected using a smartphone app. Between November 2019 and June 2020, four major events concerning information dissemination or government intervention give rise to five time intervals of analysis. Radius of gyration is used to analyze movement in each interval, and movement during government-imposed curfew. Human mobility network visualization is used to identify changes in travel patterns between main geographic locations of activity. Cross-border mobility analysis highlights potential for intervillage and intercountry disease transmission.
Inter-village and cross-border movement was common in the pre-COVID-19 period. Radius of gyration and cross-border trips decreased following news of the first imported cases. During the government lockdown period, radius of gyration was reduced by more than 90% and cross-border movement was mostly limited to short-distance trips. Human mobility was nearly back to normal after relaxation of the lockdown.
This study provides insight into the impact of the government lockdown policy on an area with extremely low socio-economic status, poor healthcare resources, and highly active cross-border movement. The lockdown had a great impact on reducing individual mobility, including cross-border movement. The quick return to normal mobility after relaxation of the lockdown implies that close monitoring of disease should be continued to prevent a second wave.
泰国是控制 COVID-19 传播最有效的五个国家之一。本研究考察了 COVID-19 在泰国出现的消息,以及政府对人员流动的不同程度限制,如何影响与缅甸接壤的泰国农村人口的人口流动。
本研究利用智能手机应用程序收集的移动数据。在 2019 年 11 月至 2020 年 6 月期间,有四个涉及信息传播或政府干预的重大事件,产生了五个分析时间间隔。转动半径用于分析每个间隔内的运动,以及政府实施宵禁期间的运动。使用移动网络可视化来识别活动主要地理位置之间的旅行模式变化。跨境流动分析突出了村庄间和国家间疾病传播的潜力。
在 COVID-19 之前,村庄间和跨境流动很常见。在首例输入性病例的消息传出后,转动半径和跨境旅行减少。在政府封锁期间,转动半径减少了 90%以上,跨境流动主要限于短途旅行。封锁放松后,人口流动几乎恢复正常。
本研究深入了解了政府封锁政策对一个社会经济地位极低、医疗资源匮乏、跨境流动极为活跃的地区的影响。封锁对减少个人流动,包括跨境流动,产生了重大影响。封锁放松后,人口流动迅速恢复正常,这意味着应继续密切监测疾病,以防止第二波疫情。