论文标题
在Covid-19流行病期间，使用手机传感数据来估计城市补丁中的居住时间和流动时间：墨西哥赫莫西洛的2020年爆发案
Use of mobile phone sensing data to estimate residence and mobility times in urban patches during the COVID-19 epidemic: The case of the 2020 outbreak in Hermosillo, Mexico
论文作者
论文摘要
通常有必要引入人口流动动力学的主要特征，以模拟诸如经济，暴力，信息传播或传染病之类的关键社会现象。在这项工作中，我们专注于使用其居民的地理空间数据建模和推断城市人口流动性。目的是估计流动性和时代居民在感兴趣领域的花费，例如邮政编码和人口普查地理区域。所提出的方法将布朗桥模型用于生态学中的动物运动。我们在2020年使用手机GPS数据从墨西哥索诺拉市的Hermosillo市说明了其可能的应用程序。我们将估计的居住动作矩阵纳入一个多块隔间模型，以评估由于政府干预而引起的移动性变化的影响
It is often necessary to introduce the main characteristics of population mobility dynamics to model critical social phenomena such as the economy, violence, transmission of information, or infectious diseases. In this work, we focus on modeling and inferring urban population mobility using the geospatial data of its inhabitants. The objective is to estimate mobility and times inhabitants spend in the areas of interest, such as zip codes and census geographical areas. The proposed method uses the Brownian bridge model for animal movement in ecology. We illustrate its possible applications using mobile phone GPS data in 2020 from the city of Hermosillo, Sonora, in Mexico. We incorporate the estimated residence-mobility matrix into a multi-patch compartmental SEIR model to assess the effect of mobility changes due to governmental interventions
