Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Constructing an Optimal Prediction System for Infectious Disease

Bibliographic Data

ID22106928
AuthorsJIANPING HUANG (0000-0002-7091-8568, Lanzhou University), Licheng Li (0009-0005-0327-1572, Lanzhou University), Siyu Chen (0000-0002-9712-9796, Lanzhou University), Bin Chen (0000-0003-3287-934X, Lanzhou University), Danfeng Wang (0000-0001-7321-5713, Lanzhou University), D L Wang (Lanzhou University), Bin Hu (0000-0002-1852-9952, Beijing Institute of Technology)
Year2024
Volume11
Issue4
Pages4544-4551
Publication date2024-08-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueIEEE Transactions on Computational Social Systems (JOURNAL)
Journal identifiersISSN: 2329-924X • E-ISSN: 2373-7476
PublisherInstitute of Electrical and Electronics Engineers (IEEE) (PUBLISHER)
DOI10.1109/tcss.2024.3427222
OpenAlexW4401634176
LanguageEN
References cited39

Disease · Anomaly Detection Techniques and Applications · Computer Science · Medicine · Internal Medicine

  • Deep learning and process understanding for data-driven Earth system science

    Open Access•Markus Reichstein, Gustau Camps-Valls et al.•Nature•2019

  • Modelling the Covid-19 epidemic and implementation of population-wide interventions in Italy

    Open Access•Giulia Giordano, Franco Blanchini et al.•Nature Medicine•2020

  • Modelling transmission and control of the Covid-19 pandemic in Australia

    Open Access•Sheryl L Chang, Nathan Harding et al.•Nature Communications•2020

  • Networks and epidemic models

    Open Access•Matt J Keeling, Ken Eames et al.•Journal of The Royal Society…•2005

  • Characterizing the Propagation of Situational Information in Social Media During Covid-19 Epidemic

    Open Access•Lifang Li, Qingpeng Zhang et al.•IEEE Transactions on Computational…•2020

Citation velocityhistorical
Highly citedNo
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae