Spatially explicit models for exploring COVID‐19 lockdown strategies
| Autor: | Mark Gahegan, David O'Sullivan, Benjamin Adams, Daniel J. Exeter |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Disease clusters
Coronavirus disease 2019 (COVID-19) Computer science media_common.quotation_subject Population 0211 other engineering and technologies 0507 social and economic geography 02 engineering and technology Tracing regional models Lead (geology) COVID‐19 Isolation (database systems) Function (engineering) education Research Articles 021101 geological & geomatics engineering media_common education.field_of_study 05 social sciences simulation Data science Work (electrical) General Earth and Planetary Sciences 050703 geography Research Article spatially‐explicit infectious disease models |
| Zdroj: | Transactions in Gis Transactions in GIS |
| ISSN: | 1467-9671 1361-1682 |
| DOI: | 10.1111/tgis.12660 |
| Popis: | This article describes two spatially‐explicit models created to allow experimentation with different societal responses to the COVID19 pandemic. We outline the work to date on modelling spatially‐explicit infective diseases and show that there are gaps that remain important to fill. We demonstrate how geographical regions, rather than a single, national approach, are likely to lead to better outcomes for the population. We provide a full account of how our models function, and how they can be used to explore many different aspects of contagion, including: experimenting with different lockdown measures, with connectivity between places, with the tracing of disease clusters and the use of improved contact tracing and isolation. We provide comprehensive results showing the use of these models in given scenarios, and conclude that explicitly regionalised models for mitigation provide significant advantages over a ‘one size fits all' approach. We have made our models, and their data, publicly available for others to use in their own locales, with the hope of providing the tools needed for geographers to have a voice during this difficult time. |
| Databáze: | OpenAIRE |
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