Leveraging GIS and spatial analysis for informed decision-making in COVID-19 pandemic
| Autor: | Rakibul Ahasan, Mahbub Hossain |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
Telemedicine Coronavirus disease 2019 (COVID-19) Computer science 030503 health policy & services Public health Health Policy Spatial analysis Biomedical Engineering COVID-19 GIS Data science Coronavirus 03 medical and health sciences 0302 clinical medicine Documentation Pandemic Spatial clustering medicine Information system Commentary 030212 general & internal medicine 0305 other medical science Scientific disciplines |
| Zdroj: | Health Policy and Technology |
| ISSN: | 2211-8837 |
| DOI: | 10.1016/j.hlpt.2020.11.009 |
| Popis: | Highlights • Geographic Information System (GIS) techniques are widely used across scientific disciplines, including public health since the mid-1960s. • GIS has been playing a critical role in understanding the spatial clustering and transmission trend of the ongoing COVID-19. • The Johns Hopkins University created a near-real-time GIS-based COVID-19 case tracking and documentation mechanism. • Applications of GIS in COVID-19 related studies were focused on mapping the cases on different administrative units. • GIS could be used to predict not only the confirmed case numbers but also specific locations where the outbreak would happen with a higher statistical precision. |
| Databáze: | OpenAIRE |
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Full Text from ScienceDirect