[HTML][HTML] Methods used in the spatial and spatiotemporal analysis of COVID-19 epidemiology: a systematic review

N Nazia, ZA Butt, ML Bedard, WC Tang… - International journal of …, 2022 - mdpi.com
The spread of the COVID-19 pandemic was spatially heterogeneous around the world; the
transmission of the disease is driven by complex spatial and temporal variations in …

A review of GIS methodologies to analyze the dynamics of COVID‐19 in the second half of 2020

I Franch‐Pardo, MR Desjardins… - Transactions in …, 2021 - Wiley Online Library
COVID‐19 has infected over 163 million people and has resulted in over 3.9 million deaths.
Regarding the tools and strategies to research the ongoing pandemic, spatial analysis has …

[HTML][HTML] GIS-based spatiotemporal analysis for road traffic crashes; in support of sustainable transportation Planning

S Mohammed, AH Alkhereibi, A Abulibdeh… - Transportation research …, 2023 - Elsevier
Road traffic crashes pose a significant challenge worldwide, necessitating increased efforts
to reduce them and promote sustainable transport systems. This study aimed to investigate …

The Arab region's contribution to global COVID-19 research: Bibliometric and visualization analysis

SH Zyoud - Globalization and health, 2021 - Springer
Background At the global level and in the Arab world, particularly in low-income countries,
COVID-19 remains a major public health issue. As demonstrated by an incredible number of …

[HTML][HTML] Spatiotemporal analysis of water-electricity consumption in the context of the COVID-19 pandemic across six socioeconomic sectors in Doha City, Qatar

A Abulibdeh - Applied Energy, 2021 - Elsevier
This study investigates the water–electricity consumption in the context of the COVID-19
pandemic across six socioeconomic sectors. Due to inadequate research on spatial …

Spatiotemporal analysis of Covid-19 in Turkey

A Neşe, H Bakir - Sustainable Cities and Society, 2022 - Elsevier
The Covid-19 pandemic continues to threaten public health around the world.
Understanding the spatial dimension of this impact is very important in terms of controlling …

NSGA-II as feature selection technique and AdaBoost classifier for COVID-19 prediction using patient's symptoms

M Soui, N Mansouri, R Alhamad, M Kessentini… - Nonlinear …, 2021 - Springer
Nowadays, humanity is facing one of the most dangerous pandemics known as COVID-19.
Due to its high inter-person contagiousness, COVID-19 is rapidly spreading across the …

[HTML][HTML] Physics-informed neural networks and functional interpolation for data-driven parameters discovery of epidemiological compartmental models

E Schiassi, M De Florio, A D'Ambrosio, D Mortari… - Mathematics, 2021 - mdpi.com
In this work, we apply a novel and accurate Physics-Informed Neural Network Theory of
Functional Connections (PINN-TFC) based framework, called Extreme Theory of Functional …

[HTML][HTML] Modeling electricity consumption patterns during the COVID-19 pandemic across six socioeconomic sectors in the State of Qatar

A Abulibdeh - Energy strategy reviews, 2021 - Elsevier
The propagation of the COVID-19 pandemic, and the associated measures taken by many
countries to slow down the spread of the disease, has significantly affected all aspects of …

[HTML][HTML] Spatial and temporal changes in electricity demand regulatory during pandemic periods: The case of COVID-19 in Doha, Qatar

T Al-Awadhi, A Abulibdeh, AN Al-Masri, AB Touq… - Energy Strategy …, 2022 - Elsevier
The propagation of the pandemic times, especially during COVID-19, has caused millions of
morbidity and mortality cases across the world, forcing people to change their lifestyles and …