[HTML][HTML] Advancing the management of long COVID by integrating into health informatics domain: current and future perspectives

R Ambalavanan, RS Snead, J Marczika… - International Journal of …, 2023 - mdpi.com
The ongoing COVID-19 pandemic has profoundly affected millions of lives globally, with
some individuals experiencing persistent symptoms even after recovering. Understanding …

[HTML][HTML] Differential COVID-19 symptoms given pandemic locations, time, and comorbidities during the early pandemic

Y Wang, F Zhang, JB Byrd, H Yu, X Ye, Y He - Frontiers in Medicine, 2022 - frontiersin.org
Background COVID-19 pandemic is disaster to public health worldwide. Better perspective
on COVID's features early in its course--prior to the development of vaccines and …

[HTML][HTML] Characterizing long COVID: deep phenotype of a complex condition

RR Deer, MA Rock, N Vasilevsky, L Carmody… - …, 2021 - thelancet.com
Background Numerous publications describe the clinical manifestations of post-acute
sequelae of SARS-CoV-2 (PASC or" long COVID"), but they are difficult to integrate because …

[HTML][HTML] COVID-19 what have we learned? The rise of social machines and connected devices in pandemic management following the concepts of predictive …

P Radanliev, D De Roure, R Walton, M Van Kleek… - EPMA journal, 2020 - Springer
Objectives Review, compare and critically assess digital technology responses to the COVID-
19 pandemic around the world. The specific point of interest in this research is on predictive …

[HTML][HTML] Long COVID and its Management

HC Koc, J Xiao, W Liu, Y Li, G Chen - International Journal of …, 2022 - ncbi.nlm.nih.gov
The pandemic of COVID-19 is the biggest public health crisis in 21 st Century. Besides the
acute symptoms after infection, patients and society are also being challenged by the long …

[HTML][HTML] Big data driven COVID-19 pandemic crisis management: potential approach for global health

Y Lv, C Ma, X Li, M Wu - Archives of Medical Science: AMS, 2021 - ncbi.nlm.nih.gov
Methods A systematic review guided by PRISMA guidelines has been performed to obtain
the key elements. Results This study identified the thirty-two most relevant documents for …

Big data and data analytics for an enhanced COVID-19 epidemic management

JB Awotunde, RG Jimoh, ID Oladipo… - Artificial Intelligence for …, 2021 - Springer
The transmission features of the COVID-19 epidemic have still not been properly recognized
in the sense of global environmental changes. Likewise, the pace of global development …

A critical review of emerging technologies for tackling COVID‐19 pandemic

E Mbunge, B Akinnuwesi, SG Fashoto… - Human behavior and …, 2021 - Wiley Online Library
COVID‐19 pandemic affects people in various ways and continues to spread globally.
Researches are ongoing to develop vaccines and traditional methods of Medicine and …

[HTML][HTML] A multimodality machine learning approach to differentiate severe and nonsevere COVID-19: model development and validation

Y Chen, L Ouyang, FS Bao, Q Li, L Han… - Journal of medical …, 2021 - jmir.org
Background Effectively and efficiently diagnosing patients who have COVID-19 with the
accurate clinical type of the disease is essential to achieve optimal outcomes for the patients …

[HTML][HTML] Big data analytics in the fight against major public health incidents (Including COVID-19): a conceptual framework

Q Jia, Y Guo, G Wang, SJ Barnes - International journal of environmental …, 2020 - mdpi.com
Major public health incidents such as COVID-19 typically have characteristics of being
sudden, uncertain, and hazardous. If a government can effectively accumulate big data from …