Knowledge Synthesize System Base on Research Document
| Spatial analysis and GIS in the study of COVID-19. A review | |
| Franch-Pardo, Ivan1; Rosete-Verges, Fernando1; Napoletano, Brian M.1; Billa, Lawal2 | |
| 2020-10 | |
| 发表期刊 | SCIENCE OF THE TOTAL ENVIRONMENT
 |
| ISSN | 0048-9697 |
| EISSN | 1879-1026 |
| 摘要 | This study entailed a review of 63 scientific articles on geospatial and spatial-statistical analysis of the geographical dimension of the 2019 coronavirus disease (COVID-19) pandemic. The diversity of themes identified in this paper can be grouped into the following categories of disease mapping: spatiotemporal analysis, health and social geography, environmental variables, data mining, and web-based mapping. Understanding the spatiotemporal dynamics of COVID-19 is essential for its mitigation, as it helps to clarify the extent and impact of the pandemic and can aid decision making, planning and community action. Health geography highlights the interaction of public health officials, affected actors and first responders to improve estimations of disease propagation and likelihoods of new outbreaks. Attempts at interdisciplinary correlation examine health policy interventions for the siting of health/sanitary services and controls, mapping/traddng of human movement, formulation of appropriate scientific and political responses and projection of spatial diffusion and temporal trends. This review condudes 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. This review provides useful information and insight that can support future bibliographic queries, and also serves as a resource for understanding the evolution of tools used in the management of this major global pandemic of the 21 Century. It is hoped that its findings will inspire new reflections on the COVID-19 pandemic by readers. (C) 2020 The Author(s). Published by Elsevier B.V. |
| 关键词 | COV1D-19 Geographical dimensions Spatiotemporal analyst Health geography Interdisciplinary correlation Data mining and web-base |
| DOI | 10.1016/j.scitotenv.2020.140033 |
| WOS关键词 | RELATIVE-HUMIDITY ; INFLUENZA ; TEMPERATURE ; GEOGRAPHY |
| WOS研究方向 | Environmental Sciences & Ecology |
| WOS类目 | Environmental Sciences |
| 出版者 | ELSEVIER |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 专题 | 新冠肺炎 循证社会科学证据集成 |
| 作者单位 | 1.Univ Nacl Autonoma Mexico; 2.Fac Sci & Engn |
| 推荐引用方式 GB/T 7714 | Franch-Pardo, Ivan,Rosete-Verges, Fernando,Napoletano, Brian M.,et al. Spatial analysis and GIS in the study of COVID-19. A review[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2020. |
| APA | Franch-Pardo, Ivan,Rosete-Verges, Fernando,Napoletano, Brian M.,&Billa, Lawal.(2020).Spatial analysis and GIS in the study of COVID-19. A review.SCIENCE OF THE TOTAL ENVIRONMENT. |
| MLA | Franch-Pardo, Ivan,et al."Spatial analysis and GIS in the study of COVID-19. A review".SCIENCE OF THE TOTAL ENVIRONMENT (2020). |
| 条目包含的文件 | 条目无相关文件。 | |||||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
修改评论