Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Yepeng Yao"'
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 122, Iss , Pp 103412- (2023)
Modelling the movement uncertainty of crowdsourced human trajectories in complex urban areas is useful for various human mobility analytics and applications. However, the existing human movement uncertainty modelling approaches only consider the larg
Externí odkaz:
https://doaj.org/article/145c108942c145cb96276bd583959cfd
Autor:
Anshu Zhang, Wenzhong Shi, Chengzhuo Tong, Xiaosheng Zhu, Yijia Liu, Zhewei Liu, Yepeng Yao, Zhicheng Shi
Publikováno v:
BMC Infectious Diseases, Vol 22, Iss 1, Pp 1-22 (2022)
Abstract Background Motivated by the need for precise epidemic control and epidemic-resilient urban design, this study aims to reveal the joint and interactive associations between urban socioeconomic, density, connectivity, and functionality charact
Externí odkaz:
https://doaj.org/article/f5cf3a9f84a540aea222a85964f60dc2
Publikováno v:
International Journal of Health Geographics, Vol 20, Iss 1, Pp 1-14 (2021)
Abstract Background The urban built environment (BE) has been globally acknowledged as one of the main factors that affects the spread of infectious disease. However, the effect of the street network on coronavirus disease 2019 (COVID-19) incidence h
Externí odkaz:
https://doaj.org/article/97172eaa287b40f498436185f22b098f
Publikováno v:
Communications Biology, Vol 4, Iss 1, Pp 1-8 (2021)
A Correction to this paper has been published: https://doi.org/10.1038/s42003-021-01924-6
Externí odkaz:
https://doaj.org/article/bf28145428da49308f635ed1a57aa93a
Publikováno v:
Communications Biology, Vol 4, Iss 1, Pp 1-10 (2021)
Wenzhong Shi et al. propose an extended Weight Kernel Density Estimation model to predict the COVID-19 onset risk, with and without the Wuhan lockdown, and corresponding symptom onset and spatial heterogeneity in 347 Chinese cities. The authors find
Externí odkaz:
https://doaj.org/article/ad2ac98641494ad49b5bb3bf054219d6
Publikováno v:
Computer Networks. 227:109723
Publikováno v:
International Journal of Health Geographics, Vol 20, Iss 1, Pp 1-14 (2021)
International Journal of Health Geographics
International Journal of Health Geographics
Background The urban built environment (BE) has been globally acknowledged as one of the main factors that affects the spread of infectious disease. However, the effect of the street network on coronavirus disease 2019 (COVID-19) incidence has been i
Publikováno v:
2022 IEEE Wireless Communications and Networking Conference (WCNC).
Publikováno v:
International Journal of Geographical Information Science. 35:609-627
Various methods have been proposed to detect the base locations of individuals, with their geo-tagged social media data. However, a common challenge relating to base-location detection methods (BDM...
Autor:
Anshu Zhang, Wenzhong Shi, Chengzhuo Tong, Xiaosheng Zhu, Yijia Liu, Zhewei Liu, Yepeng Yao, Zhicheng Shi
Publikováno v:
BMC infectious diseases. 22(1)
Background Motivated by the need for precise epidemic control and epidemic-resilient urban design, this study aims to reveal the joint and interactive associations between urban socioeconomic, density, connectivity, and functionality characteristics