Sponsor(s): Wuhan University
12 issues per year
Current Issue: Issue 05, 2020
The Journal of Geomatics and Information Science of Wuhan University as an open journal, relies on the advantages of discipline of engineering surveying and mapping of China. It's aiming to be one of excellent Chinese Surveying Journals. The Journal mainly publishes research achievements on Digital Photogrammetry, Remote Sensing, Cartology and Geographical Information Systems, Satellite Geodesy, Physical Geodesy and Geodynamics, Surveying Engineering and Image and Graphics etc.
Traffic Analysis Zone-Based Epidemic Estimation Approach of COVID-19 Based on Mobile Phone Data: An Example of Wuhan
Geomatics and Information Science of Wuhan University,2020,Vol 45,No. 05
Current epidemic models mainly estimate the number of confirmed cases by fitting statistical data. Few studies consider the direct effect of fine-grained spatial crowd mobile interaction on the spatial-temporal diffusion features. A new method for estimating the spatial-temporal spread process of coronavirus disease 2019 (COVID-19) is proposed, incorporating spatial interaction features into epidemiological models. This paper also estimates the number of confirmed cases and spatial-temporal spread process of COVID-19 in Wuhan from December 2019 to March 2020. The results show that the method proposed in this paper can effectively estimate the daily traffic analysis zones (TAZs) where new confirmed cases appear, completely covering the TAZs with the epidemic announcements. Moreover, the TAZs with the epidemic announcements account for 72.7% of the estimated TAZs. The cumulative number of estimated confirmed cases agrees very well with the total number of officially announced confirmed cases after February 18, 2020, with a gap of approximately 5.6%, indirectly verifying the rationality of the previous estimation. The method proposed in this paper can effectively estimate the spread of infectious diseases under fine-grained spaces. It also has scientific significance in understanding the influence mechanism of the crowd interaction under fine-grained spaces on the spatial-temporal spread of infectious diseases and enhancing the macroscopically spatial interpretability of epidemiological models macroscopic.
Scientific and Technological Strategies Proposal for the Construction of Digital Public Health Emergency Management System in China
Geomatics and Information Science of Wuhan University,2020,No. 05
Speed is the key to preventing and controling major public health emergencies. For an efficient management, time, data, information, and resources are important factors. This paper summarizes the challenges in China’s response to the coronavirus disease 2019 (COVID-19) and proposes an integration of vertical system and horizontal system, based on the idea of “letting data run more, rely on accurate information, and letting electromagnetic waves spread faster than virus.” Through all the analyses, we provide suggestions of improving China’s digital public health emergency management system for scientific and technological strategies, which are listed in order: (1) establishing a standardized digital epidemic information collection system to dynamically sense public sentiment, (2) building a public health big data center with a unified spatiotemporal benchmark to achieve cross-regional and cross-industry data aggregation, fusion, and sharing, (3) strengthening artificial intelligence technology for epidemic monitoring, forecasting, and risk research, and improving management accuracy and screening efficiency, (4) developing situation deduction and optimizing regulatory computing technology to serve scientific coordinated dispatching and emergency command, and (5) improving operating system mechanisms to ensure normal, safe, and stable operations.