COVID-19 modeling: A review

L Cao, Q Liu - medRxiv, 2022 - medrxiv.org
The unprecedented and overwhelming SARS-CoV-2 virus and COVID-19 disease
significantly challenged our way of life, society and the economy. Many questions emerge, a …

Feasibility of SARS-CoV-2 surveillance testing among children and childcare workers at German day care centers: a nonrandomized controlled trial

J Forster, A Streng, P Rudolph, V Rücker… - JAMA Network …, 2022 - jamanetwork.com
Importance Closure of day care centers has been implemented globally to contain the
COVID-19 pandemic but has negative effects on children's health and psychosocial well …

PaCAR: COVID-19 pandemic control decision making via large-scale agent-based modeling and deep reinforcement learning

X Guo, P Chen, S Liang, Z Jiao, L Li… - Medical Decision …, 2022 - journals.sagepub.com
Background Policy makers are facing more complicated challenges to balance saving lives
and economic development in the post-vaccination era during a pandemic. Epidemic …

Urban determinants of COVID-19 spread: a comparative study across three cities in New York state

A Truszkowska, M Fayed, S Wei, L Zino, S Butail… - Journal of Urban …, 2022 - Springer
The ongoing pandemic is laying bare dramatic differences in the spread of COVID-19 across
seemingly similar urban environments. Identifying the urban determinants that underlie …

Recursive forecasting for vaccination demand with hybrid feature LSTM considering heterogeneous policies and risk perception

Q Luo, C Yang, J Yang - Expert Systems with Applications, 2023 - Elsevier
Vaccination demand changes rapidly during the pandemic, as the public health policy
evolves and the pandemic develops among different countries and regions. Preprocessing …

Experimental evaluation of a machine learning approach to improve the reproducibility of network simulations

L Liang, H Phan, PJ Giabbanelli - Simulation, 2024 - journals.sagepub.com
A stochastic network simulation is verified when its distribution of outputs is aligned with the
ground truth, while tolerating deviations due to variability in real-world measurements and …

A strategy formulation framework for efficient screening during the early stage of a pandemic

S Wang, Y Zhang, Q Zhang, Q Lu, C Liu… - Tropical Medicine and …, 2023 - mdpi.com
For viruses that can be transmitted by contacts of people, efficiently screening infected
individuals is beneficial for controlling outbreaks rapidly and avoiding widespread diffusion …

Moderating effect of a cross-level social distancing policy on the disparity of COVID-19 transmission in the United States

Z Luo, L Li, J Ma, Z Tang, H Shen, H Zhu… - … International Journal of …, 2022 - mdpi.com
Currently, coronavirus disease 2019 (COVID-19) remains a global pandemic, but the
prevention and control of the disease in various countries have also entered the …

Modeling the Impact of COVID-19 Mitigation Strategies in Pennsylvania, USA

MG Krauland, MS Roberts - MDM Policy & Practice, 2024 - journals.sagepub.com
Purpose. To estimate the impact on mortality of nonpharmaceutical interventions (NPIs)
implemented early in the COVID-19 pandemic. Methods. We implemented an agent-based …

COVID-19 Endemic Plan: Impact of Vaccination and Non-pharmaceutical Interventions with Viral Variants and Waning Immunity Using an Agent-Based Simulation

S Lee, ZB Zabinsky, JN Wasserheit, JM Ross, S Chen… - medRxiv, 2022 - medrxiv.org
Backgrounds Despite the widespread distribution of SARS-CoV-2 vaccines, the COVID-19
pandemic continues with highly contagious variants and waning immunity. Low disease …