Associations between the COVID-19 pandemic and hospital infrastructure adaptation and planning—a scoping review

C Ndayishimiye, C Sowada, P Dyjach… - International journal of …, 2022 - mdpi.com
The SARS-CoV-2 pandemic has put unprecedented pressure on the hospital sector around
the world. It has shown the importance of preparing and planning in the future for an …

[HTML][HTML] Impact of lockdowns on the spread of COVID-19 in Saudi Arabia

S Alrashed, N Min-Allah, A Saxena, I Ali… - Informatics in Medicine …, 2020 - Elsevier
Epidemiological models have been used extensively to predict disease spread in large
populations. Among these models, Susceptible Infectious Exposed Recovered (SEIR) is …

[HTML][HTML] Wastewater surveillance provides 10-days forecasting of COVID-19 hospitalizations superior to cases and test positivity: a prediction study

DT Hill, MA Alazawi, EJ Moran, LJ Bennett… - Infectious disease …, 2023 - Elsevier
Background The public health response to COVID-19 has shifted to reducing deaths and
hospitalizations to prevent overwhelming health systems. The amount of SARS-CoV-2 RNA …

COVID-19 outbreak and the role of digital twin

S Alrashed, N Min-Allah, I Ali, R Mehmood - Multimedia Tools and …, 2022 - Springer
COVID-19 has transformed the life of human beings and digital twin infrastructure can
facilitates working remotely during COVID-19 outbreak by reducing burden on services and …

Modified SEIR and machine learning prediction of the trend of the epidemic of COVID-19 in Jordan under lockdowns impact

MK Alsmadi - International Journal of Electrical and Computer …, 2022 - search.proquest.com
Susceptible exposed infectious recovered (SEIR) is a fitting model for coronavirus disease
(COVID-19) spread prediction. Hence, to examine the effect of different levels of social …

[PDF][PDF] Susceptible exposed infectious recovered-machine learning for COVID-19 prediction in Saudi Arabia

MK Alsmadi, GM Jaradat, SA Abahussain… - International Journal of …, 2023 - academia.edu
Susceptible exposed infectious recovered (SEIR) is among the epidemiological models
used in forecasting the spread of disease in large populations. SEIR is a fitting model for …

[HTML][HTML] An open-source application for obtaining retrospective and prospective insights into overall hospital quality star ratings

KJ Locey, BD Stein, R Schipfer, B Dotson, L Klemp - Healthcare Analytics, 2024 - Elsevier
Abstract Overall Hospital Quality Star Ratings (overall star ratings) are designed to assist
healthcare consumers by summarizing dozens of hospital quality measures. These ratings …

A multistate model and its standalone tool to predict hospital and ICU occupancy by patients with COVID-19

M Lafuente, FJ López, PM Mateo, AC Cebrián, J Asín… - Heliyon, 2023 - cell.com
Objective This study aims to build a multistate model and describe a predictive tool for
estimating the daily number of intensive care unit (ICU) and hospital beds occupied by …

Assessing the reliability of medical resource demand models in the context of COVID-19

K Dautel, E Agyingi, P Pathmanathan - BMC Medical Informatics and …, 2024 - Springer
Background Numerous medical resource demand models have been created as tools for
governments or hospitals, aiming to predict the need for crucial resources like ventilators …

Correlation of Physical Spaces, Mental Health and Work Performance in Lockdowns-the Case of Saudi Arabia

M Alsharif - American Journal of Interdisciplinary Research …, 2023 - journals.e-palli.com
In order to determine the influence of the COVID-19 pandemic on the mental health of
workers' cognitive performance, as well as on work engagement and work environment, we …