Applications of Big Data Analytics to Control COVID-19 Pandemic

Overview

Journal Sensors (Basel)

Publisher MDPI

Specialty Biotechnology

Date 2021 Apr 3

PMID 33805218

Citations 20

Authors

Shikah J Alsunaidi

Abdullah M Almuhaideb

Nehad M Ibrahim

Fatema S Shaikh

Kawther S Alqudaihi

Fahd A Alhaidari

Irfan Ullah Khan

Nida Aslam

Mohammed S Alshahrani

Affiliations

Soon will be listed here.

Abstract

The COVID-19 epidemic has caused a large number of human losses and havoc in the economic, social, societal, and health systems around the world. Controlling such epidemic requires understanding its characteristics and behavior, which can be identified by collecting and analyzing the related big data. Big data analytics tools play a vital role in building knowledge required in making decisions and precautionary measures. However, due to the vast amount of data available on COVID-19 from various sources, there is a need to review the roles of big data analysis in controlling the spread of COVID-19, presenting the main challenges and directions of COVID-19 data analysis, as well as providing a framework on the related existing applications and studies to facilitate future research on COVID-19 analysis. Therefore, in this paper, we conduct a literature review to highlight the contributions of several studies in the domain of COVID-19-based big data analysis. The study presents as a taxonomy several applications used to manage and control the pandemic. Moreover, this study discusses several challenges encountered when analyzing COVID-19 data. The findings of this paper suggest valuable future directions to be considered for further research and applications.

Citing Articles

Smartwatch-based algorithm for early detection of pulmonary infection: Validation and performance evaluation.

Chen Y, She D, Guo Y, Chen W, Li J, Li D Digit Health. 2024; 10:20552076241290684.

PMID: 39465220 PMC: 11512465. DOI: 10.1177/20552076241290684.

The predation relationship between online medical search and online medical consultation-empirical research based on Baidu platform data.

Wang Y, Ran L, Jiao W, Xia Y, Lan Y Front Public Health. 2024; 12:1392743.

PMID: 39267654 PMC: 11390467. DOI: 10.3389/fpubh.2024.1392743.

An architecture for COVID-19 analysis and detection using big data, AI, and data architectures.

Alghamdi A, Al Shehri W, Almalki J, Jannah N, Alsubaei F PLoS One. 2024; 19(8):e0305483.

PMID: 39088543 PMC: 11293665. DOI: 10.1371/journal.pone.0305483.

A non-invasive AI-based system for precise grading of anosmia in COVID-19 using neuroimaging.

Balaha H, Elgendy M, Alksas A, Shehata M, Alghamdi N, Taher F Heliyon. 2024; 10(12):e32726.

PMID: 38975154 PMC: 11226840. DOI: 10.1016/j.heliyon.2024.e32726.

Assessing the Impact of COVID-19 on Amateur Runners' Performance: An Analysis through Monitoring Devices.

Garcia-Arrabe M, Gimenez M, Moriceau J, Fevre A, Roy J, Gonzalez-de-la-Flor A Sensors (Basel). 2024; 24(8).

PMID: 38676252 PMC: 11054059. DOI: 10.3390/s24082635.

References

Epstein R, Dexter F . A Predictive Model for Patient Census and Ventilator Requirements at Individual Hospitals During the Coronavirus Disease 2019 (COVID-19) Pandemic: A Preliminary Technical Report. Cureus. 2020; 12(6):e8501. PMC: 7346295. DOI: 10.7759/cureus.8501. View

Iacobucci G . Covid-19: emergency departments lack proper isolation facilities, senior medic warns. BMJ. 2020; 368:m953. DOI: 10.1136/bmj.m953. View

Richardson S, Hirsch J, Narasimhan M, Crawford J, McGinn T, Davidson K . Presenting Characteristics, Comorbidities, and Outcomes Among 5700 Patients Hospitalized With COVID-19 in the New York City Area. JAMA. 2020; 323(20):2052-2059. PMC: 7177629. DOI: 10.1001/jama.2020.6775. View

Drew D, Nguyen L, Steves C, Menni C, Freydin M, Varsavsky T . Rapid implementation of mobile technology for real-time epidemiology of COVID-19. Science. 2020; 368(6497):1362-1367. PMC: 7200009. DOI: 10.1126/science.abc0473. View

Alsofayan Y, Althunayyan S, Khan A, Hakawi A, Assiri A . Clinical characteristics of COVID-19 in Saudi Arabia: A national retrospective study. J Infect Public Health. 2020; 13(7):920-925. PMC: 7833063. DOI: 10.1016/j.jiph.2020.05.026. View

Lan F, Filler R, Mathew S, Buley J, Iliaki E, Bruno-Murtha L . COVID-19 symptoms predictive of healthcare workers' SARS-CoV-2 PCR results. PLoS One. 2020; 15(6):e0235460. PMC: 7319316. DOI: 10.1371/journal.pone.0235460. View

Riaz H, Park J, Choi H, Kim H, Kim J . Deep and Densely Connected Networks for Classification of Diabetic Retinopathy. Diagnostics (Basel). 2020; 10(1). PMC: 7169456. DOI: 10.3390/diagnostics10010024. View

Almuhaideb A, Alqudaihi K . A Lightweight Three-Factor Authentication Scheme for WHSN Architecture. Sensors (Basel). 2020; 20(23). PMC: 7730542. DOI: 10.3390/s20236860. View

Mehta N, Pandit A . Concurrence of big data analytics and healthcare: A systematic review. Int J Med Inform. 2018; 114:57-65. DOI: 10.1016/j.ijmedinf.2018.03.013. View

10.

Benreguia B, Moumen H, Merzoug M . Tracking COVID-19 by Tracking Infectious Trajectories. IEEE Access. 2021; 8:145242-145255. PMC: 8545326. DOI: 10.1109/ACCESS.2020.3015002. View

11.

Timmers T, Janssen L, Stohr J, Murk J, Berrevoets M . Using eHealth to Support COVID-19 Education, Self-Assessment, and Symptom Monitoring in the Netherlands: Observational Study. JMIR Mhealth Uhealth. 2020; 8(6):e19822. PMC: 7313382. DOI: 10.2196/19822. View

12.

Schmidt B, Colvin C, Hohlfeld A, Leon N . Definitions, components and processes of data harmonisation in healthcare: a scoping review. BMC Med Inform Decis Mak. 2020; 20(1):222. PMC: 7488776. DOI: 10.1186/s12911-020-01218-7. View

13.

Lee I, Wang C, Lin M, Kung C, Lan K, Lee C . Effective strategies to prevent coronavirus disease-2019 (COVID-19) outbreak in hospital. J Hosp Infect. 2020; 105(1):102-103. PMC: 7124248. DOI: 10.1016/j.jhin.2020.02.022. View

14.

Nadkarni G, Coca S, Wyatt C . Big data in nephrology: promises and pitfalls. Kidney Int. 2016; 90(2):240-241. DOI: 10.1016/j.kint.2016.06.003. View

15.

Khan A, Sultana M, Hossain S, Hasan M, Ahmed H, Sikder M . The impact of COVID-19 pandemic on mental health & wellbeing among home-quarantined Bangladeshi students: A cross-sectional pilot study. J Affect Disord. 2020; 277:121-128. PMC: 7410816. DOI: 10.1016/j.jad.2020.07.135. View

16.

Shahid N, Rappon T, Berta W . Applications of artificial neural networks in health care organizational decision-making: A scoping review. PLoS One. 2019; 14(2):e0212356. PMC: 6380578. DOI: 10.1371/journal.pone.0212356. View

17.

Hagar Y, Albers D, Pivovarov R, Chase H, Dukic V, Elhadad N . Survival Analysis with Electronic Health Record Data: Experiments with Chronic Kidney Disease. Stat Anal Data Min. 2021; 7(5):385-403. PMC: 8112603. DOI: 10.1002/sam.11236. View

18.

Xiong S, Liu L, Lin F, Shi J, Han L, Liu H . Clinical characteristics of 116 hospitalized patients with COVID-19 in Wuhan, China: a single-centered, retrospective, observational study. BMC Infect Dis. 2020; 20(1):787. PMC: 7578439. DOI: 10.1186/s12879-020-05452-2. View

19.

Chen Q, Xu L, Dai Y, Ling Y, Mao J, Qian J . Cardiovascular manifestations in severe and critical patients with COVID-19. Clin Cardiol. 2020; 43(7):796-802. PMC: 7323347. DOI: 10.1002/clc.23384. View

20.

Daar O, Haji M, Jradi H . Coronavirus Disease 2019 (COVID-19): Potential implications for weak health systems and conflict zones in the Middle East and North Africa region. Int J Health Plann Manage. 2020; 35(5):1240-1245. PMC: 7323081. DOI: 10.1002/hpm.2982. View