Publication:
Prediction Of Disease Burden And Healthcare Resource Utilization Through Simple Predictive Analytics Using Mathematical Approaches, An Experience From University Of Malaya Medical Centre

Simple item page
dc.contributor.authorAmirah Azzerien_US
dc.contributor.authorNur Farhan Abdul Hakimen_US
dc.contributor.authorMohd Hafiz Jaafaren_US
dc.contributor.authorMaznah Dahluien_US
dc.contributor.authorSajaratulnisah Othmanen_US
dc.contributor.authorTunku Kamarul Zaman Tunku Zainol Abidinen_US
dc.date.accessioned2024-05-27T14:34:55Z
dc.date.available2024-05-27T14:34:55Z
dc.date.issued2020
dc.date.submitted2021-2-9
dc.descriptionJournal of Health and Translational Medicine (JUMMEC) JUMMEC 2020:1 SPECIAL ISSUE COVID-19en_US
dc.description.abstractThe sudden surge in the number of healthcare utilizations compels the hospital to plan for its future needs. Several time-series projections of Covid-19 were conducted to forecast the disease burden and resources utilization through simple predictive analytics. The projections revealed a rapid increase in the number of cases and patient in care at the hospital. It was estimated that the number of patients in care to range from 62 to 81 and 89 to 121 patients daily in the second and third phase of movement control order respectively. It was estimated that more than 100,000 plastic aprons, 80,000 sterile and non-sterile isolation gowns, 40,000 masks N95 and face shields, 30,000 gloves and nearly 17,000 bottles of hand sanitizers are needed until late May. Hence, a simple mathematical algorithm is a helpful tool to manage hospital resources during the pandemic.en_US
dc.identifier.epage15
dc.identifier.issn1823-7339
dc.identifier.issueSpecial Issue
dc.identifier.other2446-2
dc.identifier.spage10
dc.identifier.urihttps://jummec.um.edu.my/article/view/23883
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/3289
dc.identifier.volume1
dc.language.isoenen_US
dc.publisherFaculty of Medicine, Universiti Malayaen_US
dc.relation.ispartofJournal of the University of Malaya Medical Centreen_US
dc.subjectCovid-19en_US
dc.subjectProjection of Burdenen_US
dc.subjectHealthcare Utilisationsen_US
dc.titlePrediction Of Disease Burden And Healthcare Resource Utilization Through Simple Predictive Analytics Using Mathematical Approaches, An Experience From University Of Malaya Medical Centreen_US
dc.typeArticleen_US
dspace.entity.typePublication

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Prediction Of Disease Burden And Healthcare Resource Utilization Through Simple Predictive Analytics Using Mathematical Approaches, An Experience From University Of Malaya Medical Centre.pdf
Size:
705.24 KB
Format:
Adobe Portable Document Format
Description:
Prediction Of Disease Burden And Healthcare Resource Utilization Through Simple Predictive Analytics Using Mathematical Approaches, An Experience From University Of Malaya Medical Centre
Download

Collections

Other Publications