Bharti Nita, Lu Xin, Bengtsson Linus, Wetter Erik, Tatem Andrew J
Department of Biology, Center for Infectious Disease Dynamics, Penn State University, University Park, PA 16801, USA
College of Information System and Management, National University of Defense Technology, 410073 Changsha, China Flowminder Foundation, 17177, Stockholm, Sweden Department of Public Health Sciences, Karolinska Institutet, 17177, Stockholm, Sweden Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Centre for Disease Control and Prevention, Beijing, 102206, China.
Int Health. 2015 Mar;7(2):90-8. doi: 10.1093/inthealth/ihv003.
Societal instability and crises can cause rapid, large-scale movements. These movements are poorly understood and difficult to measure but strongly impact health. Data on these movements are important for planning response efforts. We retrospectively analyzed movement patterns surrounding a 2010 humanitarian crisis caused by internal political conflict in Côte d'Ivoire using two different methods.
We used two remote measures, nighttime lights satellite imagery and anonymized mobile phone call detail records, to assess average population sizes as well as dynamic population changes. These data sources detect movements across different spatial and temporal scales.
The two data sources showed strong agreement in average measures of population sizes. Because the spatiotemporal resolution of the data sources differed, we were able to obtain measurements on long- and short-term dynamic elements of populations at different points throughout the crisis.
Using complementary, remote data sources to measure movement shows promise for future use in humanitarian crises. We conclude with challenges of remotely measuring movement and provide suggestions for future research and methodological developments.
社会动荡和危机可能导致迅速的大规模人口流动。这些流动情况鲜为人知且难以衡量，但对健康有重大影响。有关这些流动的数据对于规划应对措施很重要。我们使用两种不同方法，对2010年科特迪瓦因国内政治冲突引发的人道主义危机期间的人口流动模式进行了回顾性分析。
我们使用了两种遥感手段，即夜间灯光卫星图像和匿名手机通话记录详情，来评估平均人口规模以及人口动态变化。这些数据源能检测不同空间和时间尺度上的人口流动。
这两种数据源在平均人口规模的测量上显示出高度一致性。由于数据源的时空分辨率不同，我们得以在危机期间的不同时间点获取有关人口长期和短期动态要素的测量数据。
使用互补的遥感数据源来测量人口流动显示出在未来人道主义危机中应用的潜力。我们最后指出了遥感测量人口流动的挑战，并为未来研究和方法发展提出了建议。
