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Geospatial analysis in managing medical facilities for combating disaster triggered by the COVID-19 pandemic

Viruses; Geo-spatial analysis; Geo-spatial data; Infectious disease; Local parameters; Medical facility; Monitoring purpose; World Health Organization; Wuhan , China; Disasters

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Bibliographic Details
Main Authors: Usman F., Hamim S.A., Gumano H.N., Jamil F.
Other Authors: 55812540000
Format: Conference Paper
Published: IOP Publishing Ltd 2023
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spelling my.uniten.dspace-262462023-05-29T17:08:12Z Geospatial analysis in managing medical facilities for combating disaster triggered by the COVID-19 pandemic Usman F. Hamim S.A. Gumano H.N. Jamil F. 55812540000 57200660053 57223223109 57223227883 Viruses; Geo-spatial analysis; Geo-spatial data; Infectious disease; Local parameters; Medical facility; Monitoring purpose; World Health Organization; Wuhan , China; Disasters A new virus emerged, which initially called Novel Corona Virus 2019 and later officially named Coronavirus disease 2019, COVID-19. The COVID-19 spread globally in less than a year since its outbreak in Wuhan, China, as the epicenter. The pandemic was beginning at the end of December 2019, and the World Health Organization just announced as a pandemic in early March 2020. With extremely fast commuting people, the spread of the contagious virus tremendously fast. The world was not ready to face this unprecedented situation. This paper presents an effort to fight the Covid-19 pandemic in Palembang City, the capital of South Sumatra Province, Indonesia. This study utilized information provided by the authority and convert it into geospatial data. Daily based data has been captured by providing tools for the enforcements to collect the data for monitoring purposes as well. The Susceptible, Infected, and Recovered (SIR) model is used in this study to determine the need for medical facility demand and map the dispersion of parameters in elevating infectious diseases. The SIR model is used to determine the effect of social distancing in the community to flatten the curve. The local parameters were used in the lowest administrative boundary of the district. Predictive demand for referred medical facilities can be delineated. From this study, the predicted peak of infected cases has a good agreement with the actual total cases. The result of the analysis can be used to manage the medical facilities to accommodate the demand. � Published under licence by IOP Publishing Ltd. Final 2023-05-29T09:08:12Z 2023-05-29T09:08:12Z 2021 Conference Paper 10.1088/1755-1315/708/1/012061 2-s2.0-85105274028 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105274028&doi=10.1088%2f1755-1315%2f708%2f1%2f012061&partnerID=40&md5=a7560b7e693509e5a624941bd0573bad https://irepository.uniten.edu.my/handle/123456789/26246 708 1 12061 All Open Access, Bronze IOP Publishing Ltd Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Viruses; Geo-spatial analysis; Geo-spatial data; Infectious disease; Local parameters; Medical facility; Monitoring purpose; World Health Organization; Wuhan , China; Disasters
author2 55812540000
author_facet 55812540000
Usman F.
Hamim S.A.
Gumano H.N.
Jamil F.
format Conference Paper
author Usman F.
Hamim S.A.
Gumano H.N.
Jamil F.
spellingShingle Usman F.
Hamim S.A.
Gumano H.N.
Jamil F.
Geospatial analysis in managing medical facilities for combating disaster triggered by the COVID-19 pandemic
author_sort Usman F.
title Geospatial analysis in managing medical facilities for combating disaster triggered by the COVID-19 pandemic
title_short Geospatial analysis in managing medical facilities for combating disaster triggered by the COVID-19 pandemic
title_full Geospatial analysis in managing medical facilities for combating disaster triggered by the COVID-19 pandemic
title_fullStr Geospatial analysis in managing medical facilities for combating disaster triggered by the COVID-19 pandemic
title_full_unstemmed Geospatial analysis in managing medical facilities for combating disaster triggered by the COVID-19 pandemic
title_sort geospatial analysis in managing medical facilities for combating disaster triggered by the covid-19 pandemic
publisher IOP Publishing Ltd
publishDate 2023
_version_ 1806427932832301056
score 13.188404

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