View in EDS HTML Full Text PDF Full Text

Forecasting COVID-19 new cases using NBEATS deep learning and mobility data.

Saved in:
Bibliographic Details
Title: Forecasting COVID-19 new cases using NBEATS deep learning and mobility data.
Authors: Nazir A; Department of Information Systems and Technology Management, Zayed University, Abu Dhabi, United Arab Emirates., Shorfuzzaman M; Department of Software Engineering, College of Engineering and Advanced Computing, Alfaisal University, Riyadh, Saudi Arabia., Lotfi ML; AnalytiCray Ltd, Kuala Lumpur, Malaysia., Kamalov F; Canadian University Dubai, Dubai, United Arab Emirates., Badawi S; Department of Autonomous Systems, Faculty of Artificial Intelligence, Al-Balqa Applied University, Al-Salt, Jordan., Takruri M; College of Engineering and Technology, American University of the Middle East, Egaila, Kuwait., Jallad AH; Department of Electrical Engineering, United Arab Emirates University, Al Ain, United Arab Emirates.
Source: PloS one [PLoS One] 2026 Jun 29; Vol. 21 (6), pp. e0350264. Date of Electronic Publication: 2026 Jun 29 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 42371947
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Forecasting COVID-19 new cases using NBEATS deep learning and mobility data.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Nazir+A%22">Nazir A</searchLink>; Department of Information Systems and Technology Management, Zayed University, Abu Dhabi, United Arab Emirates.<br /><searchLink fieldCode="AU" term="%22Shorfuzzaman+M%22">Shorfuzzaman M</searchLink>; Department of Software Engineering, College of Engineering and Advanced Computing, Alfaisal University, Riyadh, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Lotfi+ML%22">Lotfi ML</searchLink>; AnalytiCray Ltd, Kuala Lumpur, Malaysia.<br /><searchLink fieldCode="AU" term="%22Kamalov+F%22">Kamalov F</searchLink>; Canadian University Dubai, Dubai, United Arab Emirates.<br /><searchLink fieldCode="AU" term="%22Badawi+S%22">Badawi S</searchLink>; Department of Autonomous Systems, Faculty of Artificial Intelligence, Al-Balqa Applied University, Al-Salt, Jordan.<br /><searchLink fieldCode="AU" term="%22Takruri+M%22">Takruri M</searchLink>; College of Engineering and Technology, American University of the Middle East, Egaila, Kuwait.<br /><searchLink fieldCode="AU" term="%22Jallad+AH%22">Jallad AH</searchLink>; Department of Electrical Engineering, United Arab Emirates University, Al Ain, United Arab Emirates.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2026 Jun 29; Vol. 21 (6), pp. e0350264. <i>Date of Electronic Publication: </i>2026 Jun 29 (<i>Print Publication: </i>2026).
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Public+Library+of+Science%22">Public Library of Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101285081 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1932-6203 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2219326203%22">19326203 </searchLink><i>NLM ISO Abbreviation: </i>PLoS One <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42371947
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1371/journal.pone.0350264
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: e0350264
    Titles:
      – TitleFull: Forecasting COVID-19 new cases using NBEATS deep learning and mobility data.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Nazir A
      – PersonEntity:
          Name:
            NameFull: Shorfuzzaman M
      – PersonEntity:
          Name:
            NameFull: Lotfi ML
      – PersonEntity:
          Name:
            NameFull: Kamalov F
      – PersonEntity:
          Name:
            NameFull: Badawi S
      – PersonEntity:
          Name:
            NameFull: Takruri M
      – PersonEntity:
          Name:
            NameFull: Jallad AH
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 29
              M: 06
              Text: 2026 Jun 29
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 1932-6203
          Numbering:
            – Type: volume
              Value: 21
            – Type: issue
              Value: 6
          Titles:
            – TitleFull: PloS one
              Type: main
ResultId 1