Biopolitics and Shock Economy of COVID-19 by Unknown

Author:Unknown
Language: eng
Format: epub
ISBN: 9783031278860
Publisher: Springer Nature Switzerland

Geospatial Modelling of COVID-19 Medical Facilities

Apart from geospatial assistance provided through data collection/visualization and operational decisions from geospatial technology during the pandemic, modelling of COVID-19 logistics has also advanced beyond the infection rate. Provision of adequate healthcare facilities is critical in the containment of the pandemic. To proactively cater for medical supply needs, an increasing number of models have been established all over the world by research institutions, consulting firms, healthcare systems, etc., to model the quantities of medical facilities such as hospital beds, ventilators, intensive care unit (ICU) beds, the timing of patient surges, and more. Some of these models have been integrated into the ArcGIS platform; the spatial data is often used as input to these models; and the output is used in modelling the COVID-19 situation. A few examples of these modelling tools include Hospital Resource Calculator for COVID-19, produced by Rush University; the model projects at state level the number of confirmed COVID-19 cases; the resource needed for ICU beds and non-intensive care unit; and ventilators and personal protective equipment (PPE). Other modelling tools are Regional Hospital Capacity Calculator by Harvard University and a Localized COVID-19 Model and Scenario Planner; by Qventus to mention but a few, these model tools play a critical role in the operational decisions on utilization of medical facilities. Among these models and also integrated into ArcGIS software are the COVID-19 Hospital Impact Model for Epidemics (CHIME) and COVID-19 surge tool. The input to these geospatial tools varies and ranges from population data, the number of cases, infection rate, hospital resource and stay data, intervention plan(s), epidemiological data, etc., and the output of the model also varies such as daily hospital census projection and peak model demand for the various medical facilities. Figure 8 shows hospital resource projection using ESRI software.

Fig. 8Hospital resource projection using ArcGIS programme. (Source: https://​www.​youtube.​com/​watch?​v=​8AfVrB8Ig5E adapted from modelling Covid-19 in ArcGIS; ESRI)

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