Exploring the spatio-temporal evolution of economic resilience in Chinese cities during the COVID-19 crisis

T Cheng, Y Zhao, C Zhao - Sustainable Cities and Society, 2022 - Elsevier
Fully understanding the spatio-temporal evolution of economic resilience is key to
formulating policy responses to major public health events. In particular, whether developed …

Road networks and socio-demographic factors to explore COVID-19 infection during its different waves

S Uddin, A Khan, H Lu, F Zhou, S Karim, F Hajati… - Scientific Reports, 2024 - nature.com
The COVID-19 pandemic triggered an unprecedented level of restrictive measures globally.
Most countries resorted to lockdowns at some point to buy the much-needed time for …

[HTML][HTML] Relationships between COVID-19 and disaster risk in Costa Rican municipalities

A Quesada-Román, D Pérez-Umaña… - Natural Hazards …, 2023 - Elsevier
The COVID-19 pandemic has had far-reaching impacts on every aspect of human life since
the first confirmed case in December 2019. Costa Rica reported its first case of COVID-19 in …

Comparing the impact of road networks on COVID-19 severity between delta and omicron variants: a study based on greater Sydney (Australia) suburbs

S Uddin, H Lu, A Khan, S Karim, F Zhou - International Journal of …, 2022 - mdpi.com
The Omicron and Delta variants of COVID-19 have recently become the most dominant virus
strains worldwide. A recent study on the Delta variant found that a suburban road network …

[HTML][HTML] Spatiotemporal hierarchical Bayesian analysis to identify factors associated with COVID-19 in suburban areas in Colombia

J Cortes-Ramirez, JD Wilches-Vega… - Heliyon, 2024 - cell.com
Introduction The pandemic had a profound impact on the provision of health services in
Cúcuta, Colombia where the neighbourhood-level risk of Covid-19 has not been …

Development and validation of a symbolic regression-based machine learning method to predict COVID-19 in-hospital mortality among vaccinated patients

F Sofos, E Rouka, V Triantafyllia, E Andreakos… - Health and …, 2024 - Springer
Purpose The continuous evolution of SARS-CoV-2 and possible future pandemics have
risen concerns relevant to the effectiveness of the vaccines which are currently available. To …

Big data, decision models, and public health

CL Chan, CC Chang - … Journal of Environmental Research and Public …, 2022 - mdpi.com
As the digital era unfolds, the volume and velocity of environmental, population, and public
health data are rapidly increasing. In recent decades, big data analytic techniques such as …

[HTML][HTML] Optimizing Contact Network Topological Parameters of Urban Populations Using the Genetic Algorithm

AR Sergio, PHT Schimit - Entropy, 2024 - mdpi.com
This paper explores the application of complex network models and genetic algorithms in
epidemiological modeling. By considering the small-world and Barabási–Albert network …

Community-Consideration Centrality, a Case Study of Lung Cancer Proteins

HC Rustamaji, WA Kusuma, S Nurdiati… - IEEE Access, 2023 - ieeexplore.ieee.org
One of the most recent studies on the analysis of complex systems is to understand the role
of community structure and centrality in analyzing the networks of complex systems such as …

[HTML][HTML] COVID-19 from symptoms to prediction: A statistical and machine learning approach

B Fakieh, F Saleem - Computers in Biology and Medicine, 2024 - Elsevier
During the COVID-19 pandemic, the analysis of patient data has become a cornerstone for
developing effective public health strategies. This study leverages a dataset comprising over …