Preliminary discussion on hospital service areas distribution and the setting of isolation points under the COVID-19 epidemic. (Special Issue: Spatio-temporal dynamics analysis, risk assessment and emergency management for COVID-19 epidemic.) [Chinese]
Journal of Shandong University
; 58(10):105-111, 2020.
Article
in Chinese
| GIM | ID: covidwho-1975295
ABSTRACT
Objective To explore the distributions of hospital service areas under epidemic situation and the methods of setting centralized isolation points based on service areas from the perspective of space facility layout optimization. Methods A Huff model was applied to analyze the distributions of service areas of tertiary hospitals in Shanghai. Candidate locations were set to achieve maximizing coverage, and a location-allocation model was applied to predict the optimal hospital location. Results Among the tertiary hospitals that can admit COVID-19 cases in Shanghai, the central area had a high density of hospitals. The distributions of service areas in urban and rural hospitals were obviously different, and the service areas of rural hospitals were large. It was recommended to optimize the allocation of a new hospital in the center region of Songjiang District and an appropriate number of hospitals in the central area of Pudong New District. Conclusion Considering the distribution of hospital service areas, isolation points can be set in the communities close to the affiliated hospitals, and the hospitals corresponding to each isolation point should be clearly identified when a case occurs. It is recommended to optimize the configuration to add tertiary hospitals in Songjiang District and Pudong New District.
hospitals; urban areas; epidemics; rural areas; human diseases; coronavirus disease 2019; viral diseases; man; Severe acute respiratory syndrome coronavirus 2; China; Shanghai; APEC countries; East Asia; Asia; high Human Development Index countries; upper-middle income countries; Homo; Hominidae; primates; mammals; vertebrates; Chordata; animals; eukaryotes; Eastern China; Severe acute respiratory syndrome-related coronavirus; Betacoronavirus; Coronavirinae; Coronaviridae; Nidovirales; positive-sense ssRNA Viruses; ssRNA Viruses; RNA Viruses; viruses; People's Republic of China; SARS-CoV-2; viral infections
Full text:
Available
Collection:
Databases of international organizations
Database:
GIM
Type of study:
Prognostic study
Language:
Chinese
Journal:
Journal of Shandong University
Year:
2020
Document Type:
Article
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