[HTML][HTML] Waves in time, but not in space–an analysis of pandemic severity of COVID-19 in Germany

A Kuebart, M Stabler - Spatial and Spatio-temporal Epidemiology, 2023 - Elsevier
While pandemic waves are often studied on the national scale, they typically are not
distributed evenly within countries. This study presents a novel approach to analyzing the …

Crowdq: Predicting the queue state of hospital emergency department using crowdsensing mobility data-driven models

T Shou, Z Ye, Y Hong, Z Wang, H Zhu, Z Jiang… - Proceedings of the …, 2023 - dl.acm.org
Hospital Emergency Departments (EDs) are essential for providing emergency medical
services, yet often overwhelmed due to increasing healthcare demand. Current methods for …

Application of data science for cluster analysis of COVID-19 mortality according to sociodemographic factors at municipal level in Mexico

J Pérez-Ortega, NN Almanza-Ortega, K Torres-Poveda… - Mathematics, 2022 - mdpi.com
Mexico is among the five countries with the largest number of reported deaths from COVID-
19 disease, and the mortality rates associated to infections are heterogeneous in the country …

A mechanistic spatio‐temporal modeling of COVID‐19 data

Á Briz‐Redón, A Iftimi, J Mateu… - Biometrical …, 2023 - Wiley Online Library
Understanding the evolution of an epidemic is essential to implement timely and efficient
preventive measures. The availability of epidemiological data at a fine spatio‐temporal scale …

Waves in time, but not in space–An analysis of pandemic severity of COVID-19 in Germany based on spatio-temporal clustering

A Kuebart, M Stabler - medRxiv, 2023 - medrxiv.org
While pandemic waves are often studied on the national scale, they typically are not
distributed evenly within countries. This paper employs a novel approach to analyze the …

Clustering and Predicting Multiple Time Series Count Data via Mixture of Bayesian Predictive Syntheses: Analysis of COVID-19 Hospitalisation in Japan and Korea

G Kobayashi, S Sugasawa, Y Kawakubo, D Han… - arXiv preprint arXiv …, 2023 - arxiv.org
Since the outbreak of COVID-19, governments and academia have made tremendous efforts
to predict the course of the pandemic and implement prevention measures by monitoring …

Understanding spatiotemporal patterns of COVID-19 incidence in Portugal: A functional data analysis from August 2020 to March 2022

M Ribeiro, L Azevedo, AP Santos, P Pinto Leite… - Plos one, 2024 - journals.plos.org
During the SARS-CoV-2 pandemic, governments and public health authorities collected
massive amounts of data on daily confirmed positive cases and incidence rates. These data …

[HTML][HTML] COVID-19 Trends in a Northeastern Brazilian State from the Start of the Pandemic: Exploring an Alternative Time Series Method

MPE Cavalcanti, JO Echeimberg, TC Morais… - COVID, 2024 - mdpi.com
Pernambuco, a northeastern Brazilian state, suffered significantly during the COVID-19
pandemic. The incidence, mortality, and fatality rates were incredibly high; these outcomes …

Translation-invariant functional clustering on COVID-19 deaths adjusted on population risk factors

A Cheam, M Fredette, M Marbac… - Journal of the Royal …, 2023 - academic.oup.com
This paper focuses on clustering the COVID-19 death rates reported in Europe and the
United States. Several methods have been developed to cluster such functional data …

Using k-means Clustering to Confirm Provincial COVID-19 Cases during the Omicron Epidemic in Thailand

W Leela-apiradee, S Wareepornthep… - Thailand …, 2024 - ph02.tci-thaijo.org
Abstract The Novel Coronavirus 2019 (COVID-19) pandemic has infected and killed millions
of people internationally. This work uses k-means clustering and a time series k-means …