GIS-based approaches on the accessibility of referral hospital using network analysis and the spatial distribution model of the spreading case of COVID-19 in Jakarta, Indonesia

Autor: Ratna Sari Dewi, Nadya Oktaviani, Florence Elfriede S. Silalahi, Fahrul Hidayat, Nugroho Purwono
Rok vydání: 2020
Předmět:
Male
Geographic information system
Distribution (economics)
Referral hospital
computer.software_genre
Health Services Accessibility
Health administration
Service area
0302 clinical medicine
Health care
Medicine
030212 general & internal medicine
Child
Socioeconomics
Referral and Consultation
education.field_of_study
lcsh:Public aspects of medicine
Health Policy
05 social sciences
Middle Aged
GIS
Child
Preschool
Network analysis
Female
Coronavirus Infections
Research Article
Adult
Geospatial analysis
Adolescent
Referral
Pneumonia
Viral
Population
Standard deviational ellipse
Young Adult
03 medical and health sciences
0502 economics and business
Humans
Spatial distribution
Cities
education
Pandemics
Spatial Analysis
050210 logistics & transportation
Origin-destination cost matrix
business.industry
COVID-19
lcsh:RA1-1270
Models
Theoretical
Indonesia
Local government
Geographic Information Systems
business
computer
Zdroj: BMC Health Services Research
BMC Health Services Research, Vol 20, Iss 1, Pp 1-20 (2020)
ISSN: 1472-6963
DOI: 10.1186/s12913-020-05896-x
Popis: Background The outbreak of the novel coronavirus (COVID-19) has rapidly spread, causing million confirmed cases, thousands of deaths, and economic losses. The number of cases of COVID-19 in Jakarta is the largest in Indonesia. Furthermore, Jakarta is the capital city of Indonesia which has the densest population in the country. There is need for geospatial analysis to evaluate the demand in contrast to the capacity of Referral Hospitals and to model the spreading case of Covid-19 in order to support and organize an effective health service. Methods We used the data from local government publicity for COVID-19 as trusted available sources. By using the verifiable data by observation from the local government, we estimated the spatial pattern of distribution of cases to estimate the growing cases. We performed service area and Origin-Destination (OD) Cost Matrix in support to existing referral hospital, and to create Standard Deviational Ellipse (SDE) model to determine the spatial distribution of COVID-19. Results We identified more than 12.4 million people (86.7%) based on distance-based service area, live in the well served area of the referral hospital. A total 2637 positive-infected cases were identified and highly concentrated in West Jakarta (1096 cases). The results of OD cost matrix in a range of 10 km show a total 908 unassigned cases from 24 patient’s centroid which was highly concentrated in West Jakarta. Conclusions Our results indicate the needs for additional referral hospitals specializing in the treatment of COVID-19 and spatial illustration map of the growth of COVID-19′ case in support to the implementation of social distancing in Jakarta.
Databáze: OpenAIRE
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