[Retracted] Gauging the Impact of Artificial Intelligence and Mathematical Modeling in Response to the COVID‐19 Pandemic: A Systematic Review
While the world continues to grapple with the devastating effects of the SARS‐nCoV‐2 virus,
different scientific groups, including researchers from different parts of the world, are trying to …
different scientific groups, including researchers from different parts of the world, are trying to …
Factors affecting the perceived usability of the COVID-19 contact-tracing application “Thai chana” during the early COVID-19 omicron period
Thai Chana is one of the mobile applications for COVID-19 disease-control tracking,
especially among the Thais. The purpose of this study was to determine factors affecting the …
especially among the Thais. The purpose of this study was to determine factors affecting the …
[HTML][HTML] Leveraging mHealth technologies for public health
PE Velmovitsky, M Kirolos, P Alencar… - JMIR public health …, 2024 - publichealth.jmir.org
Traditional public health surveillance efforts are generally based on self-reported data.
Although well validated, these methods may nevertheless be subjected to limitations such …
Although well validated, these methods may nevertheless be subjected to limitations such …
Factors influencing the perceived effectiveness of COVID-19 risk assessment mobile application “Morchana” in Thailand: Utaut2 approach
COVID-19 contact-tracing mobile applications have been some of the most important tools
during the COVID-19 pandemic. One preventive measure that has been incorporated to help …
during the COVID-19 pandemic. One preventive measure that has been incorporated to help …
Utilization of random forest and deep learning neural network for predicting factors affecting perceived usability of a COVID-19 contact tracing mobile application in …
The continuous rise of the COVID-19 Omicron cases despite the vaccination program
available has been progressing worldwide. To mitigate the COVID-19 contraction, different …
available has been progressing worldwide. To mitigate the COVID-19 contraction, different …
COVID-19 forecasting using new viral variants and vaccination effectiveness models
Recently, a high number of daily positive COVID-19 cases have been reported in regions
with relatively high vaccination rates; hence, booster vaccination has become necessary. In …
with relatively high vaccination rates; hence, booster vaccination has become necessary. In …
Raman fingerprints of the SARS-CoV-2 Delta variant and mechanisms of its instantaneous inactivation by silicon nitride bioceramics
G Pezzotti, E Ohgitani, Y Fujita, H Imamura… - ACS Infectious …, 2022 - ACS Publications
Raman spectroscopy uncovered molecular scale markers of the viral structure of the SARS-
CoV-2 Delta variant and related viral inactivation mechanisms at the biological interface with …
CoV-2 Delta variant and related viral inactivation mechanisms at the biological interface with …
Did the Tokyo Olympic Games enhance the transmission of COVID-19? An interpretation with machine learning
Background In the summer of 2021, the Olympic Games were held in Tokyo during the state
of emergency due to the spread of COVID-19 pandemic. New daily positive cases (DPC) …
of emergency due to the spread of COVID-19 pandemic. New daily positive cases (DPC) …
Application of artificial intelligence in COVID-19 diagnosis and therapeutics
The coronavirus disease 2019 (COVID-19) pandemic began at the end of December 2019,
giving rise to a high rate of infections and causing COVID-19-associated deaths worldwide …
giving rise to a high rate of infections and causing COVID-19-associated deaths worldwide …
Water quality prediction based on multi-task learning
H Wu, S Cheng, K Xin, N Ma, J Chen, L Tao… - International Journal of …, 2022 - mdpi.com
Water pollution seriously endangers people's lives and restricts the sustainable
development of the economy. Water quality prediction is essential for early warning and …
development of the economy. Water quality prediction is essential for early warning and …