Wastewater-based surveillance models for COVID-19: A focused review on spatio-temporal models

F Torabi, G Li, C Mole, G Nicholson, B Rowlingson… - Heliyon, 2023 - cell.com
The evident shedding of the SARS-CoV-2 RNA particles from infected individuals into the
wastewater opened up a tantalizing array of possibilities for prediction of COVID-19 …

Making waves: integrating wastewater surveillance with dynamic modeling to track and predict viral outbreaks

T Phan, S Brozak, B Pell, J Oghuan, A Gitter, T Hu… - Water Research, 2023 - Elsevier
Wastewater surveillance has proved to be a valuable tool to track the COVID-19 pandemic.
However, most studies using wastewater surveillance data revolve around establishing …

SARS-CoV-2 wastewater genomic surveillance: approaches, challenges, and opportunities

V Munteanu, M Saldana, D Ciorba, V Bostan… - arXiv preprint arXiv …, 2023 - arxiv.org
During the SARS-CoV-2 pandemic, wastewater-based genomic surveillance (WWGS)
emerged as an efficient viral surveillance tool that takes into account asymptomatic cases …

[HTML][HTML] High-throughput sequencing as a tool for monitoring prokaryote communities in a wastewater treatment plant

R Ríos-Castro, A Cabo, E Teira, C Cameselle… - Science of The Total …, 2023 - Elsevier
In this study, the DNA metabarcoding technique was used to explore the prokaryote diversity
and community structure in wastewater collected in spring and winter 2020–2021 as well as …

[HTML][HTML] Wastewater-based modeling, reconstruction, and prediction for COVID-19 outbreaks in Hungary caused by highly immune evasive variants

P Polcz, K Tornai, J Juhász, G Cserey, G Surján… - Water Research, 2023 - Elsevier
Abstract (Motivation) Wastewater-based epidemiology (WBE) has emerged as a promising
approach for monitoring the COVID-19 pandemic, since the measurement process is cost …

Dynamical behaviors of a delayed SIR information propagation model with forced silence function and control measures in complex networks

B Cao, G Guan, S Shen, L Zhu - The European Physical Journal Plus, 2023 - Springer
Due to the advanced network technology, there is almost no barrier to information
dissemination, which has led to the breeding of rumors. Intended to clarify the dynamic …

Identification and Control of Epidemic Disease Based Neural Networks and Optimization Technique

AJ Abougarair, SE Elwefati - International Journal of Robotics and …, 2023 - pubs2.ascee.org
Developing effective strategies to contain the spread of infectious diseases, particularly in
the case of rapidly evolving outbreaks like COVID-19, remains a pressing challenge. The …

An explainable decision model based on extended belief-rule-based systems to predict admission to the intensive care unit during COVID-19 breakout

J Zheng, LH Yang, YM Wang, JQ Gao, K Zhang - Applied Soft Computing, 2023 - Elsevier
Given the shortage of intensive care units (ICUs) due to the coronavirus disease (COVID-
19), a prediction model is essential in ensuring the availability of ICU beds. However …

A novel room-based epidemic model: Quarantine, testing, and vaccination strategies

S Chatterjee, AN Zehmakan, S Rastogi - Chaos, Solitons & Fractals, 2023 - Elsevier
Epidemic outbreaks pose significant challenges to public health and socio-economic
stability, necessitating a comprehensive understanding of disease transmission dynamics …

Effective vaccination strategies in network-based SIR model

S Chatterjee, AN Zehmakan - Chaos, Solitons & Fractals, 2023 - Elsevier
Controlling and understanding epidemic outbreaks has recently drawn great interest in a
large spectrum of research communities. Vaccination is one of the most well-established …