COVID-19: Challenges to GIS with Big Data
Chenghu Zhou,Fenzhen Su,Tao Pei,Tao Pei,An Zhang,Yunyan Du,Bin Luo,Zhidong Cao,Juanle Wang,Wen Yuan,Yunqiang Zhu,Ci Song,Jie Chen,Jun Xu,Fujia Li,Ting Ma,Lili Jiang,Fengqin Yan,Jiawei Yi,Yunfeng Hu,Yilan Liao,Han Xiao +21 more
- Vol. 1, Iss: 1, pp 77-87
TLDR
The development of GIS should be strengthened to form a data-driven system for rapid knowledge acquisition, which signifies that GISShould be used to reinforce the social operation parameterization of models and methods, especially when providing support for social management.Abstract:
The outbreak of the 2019 novel coronavirus disease (COVID-19) has caused more than 100,000 people infected and thousands of deaths. Currently, the number of infections and deaths is still increasing rapidly. COVID-19 seriously threatens human health, production, life, social functioning and international relations. In the fight against COVID-19, Geographic Information Systems (GIS) and big data technologies have played an important role in many aspects, including the rapid aggregation of multi-source big data, rapid visualization of epidemic information, spatial tracking of confirmed cases, prediction of regional transmission, spatial segmentation of the epidemic risk and prevention level, balancing and management of the supply and demand of material resources, and social-emotional guidance and panic elimination, which provided solid spatial information support for decision-making, measures formulation, and effectiveness assessment of COVID-19 prevention and control. GIS has developed and matured relatively quickly and has a complete technological route for data preparation, platform construction, model construction, and map production. However, for the struggle against the widespread epidemic, the main challenge is finding strategies to adjust traditional technical methods and improve speed and accuracy of information provision for social management. At the data level, in the era of big data, data no longer come mainly from the government but are gathered from more diverse enterprises. As a result, the use of GIS faces difficulties in data acquisition and the integration of heterogeneous data, which requires governments, businesses, and academic institutions to jointly promote the formulation of relevant policies. At the technical level, spatial analysis methods for big data are in the ascendancy. Currently and for a long time in the future, the development of GIS should be strengthened to form a data-driven system for rapid knowledge acquisition, which signifies that GIS should be used to reinforce the social operation parameterization of models and methods, especially when providing support for social management.read more
Citations
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Journal ArticleDOI
Spatial analysis and GIS in the study of COVID-19. A review.
TL;DR: This review concludes that, to fight COVID-19, it is important to face the challenges from an interdisciplinary perspective, with proactive planning, international solidarity and a global perspective.
Journal ArticleDOI
Effects of the COVID-19 lockdown on urban mobility: Empirical evidence from the city of Santander (Spain)
Alfredo Aloi,Borja Alonso,Juan Benavente,Rubén Cordera,Eneko Echaniz,Felipe González,Claudio Ladisa,Raquel Lezama-Romanelli,Álvaro López-Parra,Vittorio Mazzei,Lucía Perrucci,Darío Prieto-Quintana,Andres Rodriguez,Roberto Sañudo +13 more
TL;DR: In this article, the authors analyzed the impact that the confinement measures or quarantine imposed in Spain on 15 March 2020 had on urban mobility in the northern city of Santander and revealed an overall mobility fall of 76%, being less important in the case of the private car.
Journal ArticleDOI
Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts
TL;DR: An overview of AI and big data, then identify the applications aimed at fighting against COVID-19, next highlight challenges and issues associated with state-of-the-art solutions, and finally come up with recommendations for the communications to effectively control the CO VID-19 situation.
Journal ArticleDOI
Spatial Disparities in Coronavirus Incidence and Mortality in the United States: An Ecological Analysis as of May 2020.
TL;DR: Although densely populated large cities and their surrounding metropolitan areas are hotspots of the pandemic, it is counterintuitive that incidence and mortality rates in some small cities and nonmetropolitan counties approximate those in epicenters such as New York City.
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