[HTML][HTML] Machine learning, deep learning, and mathematical models to analyze forecasting and epidemiology of COVID-19: a systematic literature review

F Saleem, ASAM Al-Ghamdi, MO Alassafi… - International journal of …, 2022 - mdpi.com
COVID-19 is a disease caused by SARS-CoV-2 and has been declared a worldwide
pandemic by the World Health Organization due to its rapid spread. Since the first case was …

[HTML][HTML] Investigating topic modeling techniques to extract meaningful insights in Italian long COVID narration

I Scarpino, C Zucco, R Vallelunga, F Luzza… - BioTech, 2022 - mdpi.com
Through an adequate survey of the history of the disease, Narrative Medicine (NM) aims to
allow the definition and implementation of an effective, appropriate, and shared treatment …

Construction and demolition waste generation prediction and spatiotemporal analysis: a case study in Sichuan, China

Q Hu, R Liu, P Su, J Huang, Y Peng - Environmental Science and …, 2023 - Springer
The rapidly increased generation of construction and demolition (C&D) waste hinders the
sustainable development of cities. Establishing an effective C&D waste management system …

[HTML][HTML] Nesting the SIRV model with NAR, LSTM and statistical methods to fit and predict COVID-19 epidemic trend in Africa

XD Liu, W Wang, Y Yang, BH Hou, TS Olasehinde… - BMC Public Health, 2023 - Springer
Objective Compared with other regions in the world, the transmission characteristics of the
COVID-19 epidemic in Africa are more obvious, has a unique transmission mode in this …

[HTML][HTML] Predicting COVID-19 future trends for different European countries using Pearson correlation

J Muhaidat, A Albatayneh, R Abdallah… - Euro-Mediterranean …, 2022 - Springer
The ability to accurately forecast the number of COVID-19 cases and future case trends
would certainly assist governments and various organisations in strategising and preparing …

[HTML][HTML] Development of a novel dynamic nosocomial infection risk management method for COVID-19 in outpatient settings

Y Wang, L Wang, W Ma, H Zhao, X Han… - BMC Infectious …, 2024 - Springer
Background Application of accumulated experience and management measures in the
prevention and control of coronavirus disease 2019 (COVID-19) has generally depended on …

Insight into vaccination and meteorological factors on daily COVID-19 cases and mortality in Bangladesh

MN Hasan, MA Islam, S Sangkham, AA Werkneh… - Groundwater for …, 2023 - Elsevier
The ongoing COVID-19 contagious disease caused by SARS-CoV-2 has disrupted global
public health, businesses, and economies due to widespread infection, with 676.41 million …

Comparison of Conventional Modeling Techniques with the Neural Network Autoregressive Model (NNAR): Application to COVID‐19 Data

M Daniyal, K Tawiah, S Muhammadullah… - Journal of …, 2022 - Wiley Online Library
The coronavirus disease 2019 (COVID‐19) pandemic continues to destroy human life
around the world. Almost every country throughout the globe suffered from this pandemic …

[HTML][HTML] Artificial intelligence in healthcare: combining deep learning and Bayesian optimization to forecast COVID-19 confirmed cases

A Alhhazmi, A Alferidi, YA Almutawif… - Frontiers in Artificial …, 2024 - frontiersin.org
Healthcare is a topic of significant concern within the academic and business sectors. The
COVID-19 pandemic has had a considerable effect on the health of people worldwide. The …

Water quality analysis using the CCME-WQI method with time series analysis in a water supply reservoir

L Hu, L Chen, Q Li, K Zou, J Li, H Ye - Water Supply, 2022 - iwaponline.com
The quality of the drinking water source reservoirs has always been a research hotspot.
However, few have studies focused on the water quality of reservoirs over a relatively long …