FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3183273615> ?p ?o ?g. }

• W3183273615 endingPage "29" @default.
• W3183273615 startingPage "11" @default.
• W3183273615 abstract "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, increased population size, nuanced encounters, and lack of medical security in developing countries all contribute to the complexities of COVID-19 prevention and regulation. The COVID-19 seems to have a greater impact on the global economy when compared to severe acute respiratory syndrome (SARS) that occurs in 2013. The bone of contention is how to fight the spread of these infectious diseases and how to contains it spread from human-to-human. Most countries depended on the observation of classic steps to monitor diseases and public health to contain the COVID-19 pandemic, similar to those used with SARS in 2003. Data in the healthcare sector are usually huge and not easy to handle, this results from the enormous way by which data grows in the healthcare sector, the rate at which data are been produced, and the variety of various data in the healthcare system contributed to this growth. Also, the rate at which these data are been captured, stored, analyzed, and retrieved in healthcare has swiftly from the aged paper-based storage technique to the use of digital techniques and methods. Hence, the application of advanced technologies which includes virtualization and cloud computing allows for huge and effective data processing in the healthcare system. Thereby rapidly turning the healthcare system into a big data industry. Nevertheless, in these modern days, the improvement in the information and communication technologies (ICT) brings the advancement of varied data from new sources in the healthcare system. Therefore, this chapter discusses the possible application of big data and analytics to improve conventional public health approaches to tackle the COVID-19 pandemic to control, manage, identify and avoid COVID-19 and reduce the effect on health implicitly associated with COVID-19. The significant applications of big data and challenges are presented. Leveraging big data and intelligent analytics becomes expedient in other to enjoy their use for COVID-19 disease outbreak and public health." @default.
• W3183273615 created "2021-08-02" @default.
• W3183273615 creator A5005103583 @default.
• W3183273615 creator A5065136232 @default.
• W3183273615 creator A5076892414 @default.
• W3183273615 creator A5080862956 @default.
• W3183273615 creator A5080923440 @default.
• W3183273615 creator A5085915629 @default.
• W3183273615 date "2021-01-01" @default.
• W3183273615 modified "2023-10-01" @default.
• W3183273615 title "Big Data and Data Analytics for an Enhanced COVID-19 Epidemic Management" @default.
• W3183273615 cites W1598788287 @default.
• W3183273615 cites W1918839972 @default.
• W3183273615 cites W1985092313 @default.
• W3183273615 cites W1986321739 @default.
• W3183273615 cites W1996796857 @default.
• W3183273615 cites W2009790391 @default.
• W3183273615 cites W2027540165 @default.
• W3183273615 cites W2037677991 @default.
• W3183273615 cites W2061848003 @default.
• W3183273615 cites W2077275352 @default.
• W3183273615 cites W2082302018 @default.
• W3183273615 cites W2120751691 @default.
• W3183273615 cites W2121456247 @default.
• W3183273615 cites W2149140091 @default.
• W3183273615 cites W2304273040 @default.
• W3183273615 cites W2343161864 @default.
• W3183273615 cites W2548753368 @default.
• W3183273615 cites W2549346488 @default.
• W3183273615 cites W2554926856 @default.
• W3183273615 cites W2555839251 @default.
• W3183273615 cites W2558531961 @default.
• W3183273615 cites W2576903834 @default.
• W3183273615 cites W2604976044 @default.
• W3183273615 cites W2613310014 @default.
• W3183273615 cites W2735541318 @default.
• W3183273615 cites W2747968860 @default.
• W3183273615 cites W2769212224 @default.
• W3183273615 cites W2790677212 @default.
• W3183273615 cites W2883585595 @default.
• W3183273615 cites W2887124611 @default.
• W3183273615 cites W2898735074 @default.
• W3183273615 cites W2905179958 @default.
• W3183273615 cites W2909296645 @default.
• W3183273615 cites W2916458150 @default.
• W3183273615 cites W2919720720 @default.
• W3183273615 cites W2921244893 @default.
• W3183273615 cites W2937471939 @default.
• W3183273615 cites W2964331637 @default.
• W3183273615 cites W2970434820 @default.
• W3183273615 cites W2971924659 @default.
• W3183273615 cites W2973066167 @default.
• W3183273615 cites W2976786695 @default.
• W3183273615 cites W2987396833 @default.
• W3183273615 cites W2997069256 @default.
• W3183273615 cites W3006642361 @default.
• W3183273615 cites W3007140447 @default.
• W3183273615 cites W3007497549 @default.
• W3183273615 cites W3008401431 @default.
• W3183273615 cites W3008582897 @default.
• W3183273615 cites W3008827533 @default.
• W3183273615 cites W3012538234 @default.
• W3183273615 cites W3013019408 @default.
• W3183273615 cites W3013627785 @default.
• W3183273615 cites W3013882176 @default.
• W3183273615 cites W3021613067 @default.
• W3183273615 cites W3036374861 @default.
• W3183273615 cites W3048834264 @default.
• W3183273615 cites W3118699103 @default.
• W3183273615 cites W3165656738 @default.
• W3183273615 cites W4239017244 @default.
• W3183273615 doi "https://doi.org/10.1007/978-3-030-69744-0_2" @default.
• W3183273615 hasPublicationYear "2021" @default.
• W3183273615 type Work @default.
• W3183273615 sameAs 3183273615 @default.
• W3183273615 citedByCount "11" @default.
• W3183273615 countsByYear W31832736152021 @default.
• W3183273615 countsByYear W31832736152022 @default.
• W3183273615 countsByYear W31832736152023 @default.
• W3183273615 crossrefType "book-chapter" @default.
• W3183273615 hasAuthorship W3183273615A5005103583 @default.
• W3183273615 hasAuthorship W3183273615A5065136232 @default.
• W3183273615 hasAuthorship W3183273615A5076892414 @default.
• W3183273615 hasAuthorship W3183273615A5080862956 @default.
• W3183273615 hasAuthorship W3183273615A5080923440 @default.
• W3183273615 hasAuthorship W3183273615A5085915629 @default.
• W3183273615 hasConcept C111919701 @default.
• W3183273615 hasConcept C124101348 @default.
• W3183273615 hasConcept C13280743 @default.
• W3183273615 hasConcept C142724271 @default.
• W3183273615 hasConcept C144133560 @default.
• W3183273615 hasConcept C160735492 @default.
• W3183273615 hasConcept C162324750 @default.
• W3183273615 hasConcept C205649164 @default.
• W3183273615 hasConcept C2522767166 @default.
• W3183273615 hasConcept C2777526511 @default.
• W3183273615 hasConcept C2779134260 @default.
• W3183273615 hasConcept C3008058167 @default.

• next