Dynamics of population immunity due to the herd effect in the COVID-19 pandemic

VJ Clemente-Suárez, A Hormeño-Holgado, M Jiménez… - Vaccines, 2020 - mdpi.com
The novel Coronavirus 2 Severe Acute Respiratory Syndrome (SARS-Cov-2) has led to the
Coronavirus Disease 2019 (COVID-19) pandemic, which has surprised health authorities …

[HTML][HTML] Mass testing with contact tracing compared to test and trace for the effective suppression of COVID-19 in the United Kingdom: systematic review

M Mbwogge - JMIRx Med, 2021 - xmed.jmir.org
Background Making testing available to everyone and tracing contacts might be the gold
standard to control COVID-19. Many countries including the United Kingdom have relied on …

Random-forest-bagging broad learning system with applications for COVID-19 pandemic

C Zhan, Y Zheng, H Zhang… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The rapid geographic spread of COVID-19, to which various factors may have contributed,
has caused a global health crisis. Recently, the analysis and forecast of the COVID-19 …

Prediction of COVID-19 spreading profiles in South Korea, Italy and Iran by data-driven coding

C Zhan, CK Tse, Z Lai, T Hao, J Su - PloS one, 2020 - journals.plos.org
This work applies a data-driven coding method for prediction of the COVID-19 spreading
profile in any given population that shows an initial phase of epidemic progression. Based …

A stochastic SEIHR model for COVID-19 data fluctuations

R Niu, YC Chan, EWM Wong, MA van Wyk, G Chen - Nonlinear dynamics, 2021 - Springer
Although deterministic compartmental models are useful for predicting the general trend of a
disease's spread, they are unable to describe the random daily fluctuations in the number of …

Comparative study of COVID-19 pandemic progressions in 175 regions in Australia, Canada, Italy, Japan, Spain, UK and USA using a novel model that considers …

C Zhan, KT Chi, Y Gao, T Hao - IEEE Journal of Biomedical …, 2021 - ieeexplore.ieee.org
Not identified as being exposed or infected, the group of asymptomatic and presymptomatic
patients has become the key source of infectious hosts for the COVID-19 pandemic …

Changes in spatiotemporal pattern and network characteristics in population migration of China's cities before and after COVID-19

Y Zhang, X Guo, Y Su, YH Koura H, N Wang… - Humanities and Social …, 2023 - nature.com
Population mobility is a key component in promoting the re-agglomeration and
dissemination of social and economic factors. Based on Spring Festival data from 2019 to …

A systematic review of using population-level human mobility data to understand SARS-CoV-2 transmission

N Kostandova, C Schluth, R Arambepola… - Nature …, 2024 - nature.com
The emergence of SARS-CoV-2 into a highly susceptible global population was primarily
driven by human mobility-induced introduction events. Especially in the early stages …

An investigation of testing capacity for evaluating and modeling the spread of coronavirus disease

C Zhan, J Chen, H Zhang - Information sciences, 2021 - Elsevier
Despite the consistent recommendation to scale-up the testing of severe acute respiratory
syndrome coronavirus 2 (SARS-CoV-2), comprehensive analysis on determining the …

Human migration-based graph convolutional network for PM2. 5 forecasting in post-COVID-19 pandemic age

C Zhan, W Jiang, H Min, Y Gao, CK Tse - Neural Computing and …, 2023 - Springer
Due to the coronavirus disease 2019 pandemic, local authorities always implanted non-
pharmaceutical interventions, such as maintaining social distance to reduce human …