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        COVID-19 Pandemic, Geospatial Information, and Community Resilience

        Proposal review

        Global Applications and Lessons

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        Contributor(s)
        Rajabifard, Abbas (editor)
        Paez, Daniel (editor)
        Foliente, Greg (editor)
        Language
        English
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        Abstract
        Geospatial information plays an important role in managing location dependent pandemic situations across different communities and domains. Geospatial information and technologies are particularly critical to strengthening urban and rural resilience, where economic, agricultural, and various social sectors all intersect. Examining the United Nations' SDGs from a geospatial lens will ensure that the challenges are addressed for all populations in different locations. This book, with worldwide contributions focused on COVID-19 pandemic, provides interdisciplinary analysis and multi-sectoral expertise on the use of geospatial information and location intelligence to support community resilience and authorities to manage pandemics.
        URI
        https://library.oapen.org/handle/20.500.12657/49450
        Keywords
        disaster management; Geoinformation; Geospatial Planning; Public health; sustainable development; Urban Planning
        DOI
        10.1201/9781003181590
        ISBN
        9781000402926, 9781000402926, 9781032020457, 9781003181590, 9780367775315
        Publisher
        Taylor & Francis
        Publisher website
        https://taylorandfrancis.com/
        Publication date and place
        2021
        Imprint
        CRC Press
        Classification
        Geographical information systems, geodata and remote sensing
        Environmental science, engineering and technology
        Development economics and emerging economies
        Pages
        544
        Rights
        https://creativecommons.org/licenses/by-nc-nd/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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