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COVID Antworten in den wissenschaftlichen Zeitschriften der Welt


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Springer-Verlag: International Journal of Data Science and Analytics
  Original Artikel Datum Titel Autoren   Max. 6 Autoren
1 [GO] 2025―Mrz―31 Quantifying the waning effect of non-pharmaceutical interventions with case study in COVID-19 Hu Cao, Longbing Cao, Shiqiang Jin
2 [GO] 2025―Feb―21 Spatio-temporal exposure risk estimation for COVID-19 using social network analysis and mobile phone data Silvino Pedro Cumbane, Győző Gidófalvi
3 [GO] 2024―Okt―08 VIPER: a new compartment model for prediction of infected and recovered patients in pandemics with case studies on COVID-19 Wei Tian, Lefu Xiao, Jingjin Wu
4 [GO] 2024―Sep―30 Harris extended inverted Kumaraswamy distribution: Properties and applications to COVID-19 data Jabir Bengalath, Bindu Punathumparambath
5 [GO] 2024―Sep―08 Attributed network embedding model for exposing COVID-19 spread trajectory archetypes Junwei Ma, Bo Li, Qingchun Li, Chao Fan, Ali Mostafavi
6 [GO] 2024―Aug―13 Dynamic topic modelling for exploring the scientific literature on coronavirus: an unsupervised labelling technique Ibai Guillén-Pacho, Carlos Badenes-Olmedo, Oscar Corcho
7 [GO] 2024―Jun―10 Deep learning-based approach for COVID-19 spread prediction Silvino Pedro Cumbane, Győző Gidófalvi
8 [GO] 2024―Apr―14 K-means DTW Barycenter Averaging: a clustering analysis of COVID-19 cases and deaths on the Brazilian federal units Jonatas Silva do Espirito Santo, Jackson Santos da Conceição, Lilia Carolina Carneiro da Costa, Rosemeire Leovigildo Fiaccone, Marcos Ennes Barreto, Maria Yury Ichihara, Anderson Ara
9 [GO] 2024―Mrz―21 A probabilistic spatio-temporal neural network to forecast COVID-19 counts Federico Ravenda, Mirko Cesarini, Stefano Peluso, Antonietta Mira
10 [GO] 2023―Jul―05 Estimating nosocomial infection and its outcomes in hospital patients in England with a diagnosis of COVID-19 using machine learning Flavien Hardy, Johannes Heyl, Katie Tucker, Adrian Hopper, Maria J. Marchã, Annakan V. Navaratnam, Tim W. R. Briggs, Jeremy Yates, Jamie Day, Andrew Wheeler, Sue Eve-Jones, William K. Gray
11 [GO] 2022―Nov―24 Generalization of the Lindley distribution with application to COVID-19 data C. S. Rajitha, A Akhilnath
12 [GO] 2022―Okt―06 Agenda-Setting for COVID-19: A Study of Large-Scale Economic News Coverage Using Natural Language Processing Guang Lu, Martin Businger, Christian Dollfus, Thomas Wozniak, Matthes Fleck, Timo Heroth, Irina Lock, Janna Lipenkova
13 [GO] 2022―Jun―14 Data-driven analytics of COVID-19 ‘infodemic’ Minyu Wan, Qi Su, Rong Xiang, Chu-Ren Huang
14 [GO] 2022―Mai―27 COVID-19 and 5G conspiracy theories: long term observation of a digital wildfire Johannes Langguth, Petra Filkuková, Stefan Brenner, Daniel Thilo Schroeder, Konstantin Pogorelov
15 [GO] 2022―Apr―30 Explainability of the COVID-19 epidemiological model with nonnegative tensor factorization Thirunavukarasu Balasubramaniam, David J. Warne, Richi Nayak, Kerrie Mengersen
16 [GO] 2022―Apr―04 Eigenvalue analysis of SARS-CoV-2 viral load data: illustration for eight COVID-19 patients Till D. Frank
17 [GO] 2022―Jan―15 A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the USA Benjamin Lucas, Behzad Vahedi, Morteza Karimzadeh
18 [GO] 2022―Jan―11 The impact of information sources on COVID-19 knowledge accumulation and vaccination intention Madalina Vlasceanu, Alin Coman
19 [GO] 2021―Dez―24 Conspiracy theories on Twitter: emerging motifs and temporal dynamics during the COVID-19 pandemic Veronika Batzdorfer, Holger Steinmetz, Marco Biella, Meysam Alizadeh
20 [GO] 2021―Sep―27 An analysis of the impact of policies and political affiliation on racial disparities in COVID-19 infections and deaths in the USA Michael A. Hamilton, Danielle Hamilton, Oluwatamilore Soneye, Olorunshola Ayeyemi, Raed Jaradat
21 [GO] 2021―Jun―24 Modelling the epidemic dynamics of COVID-19 with consideration of human mobility Bowen Du, Zirong Zhao, Jiejie Zhao, Le Yu, Leilei Sun, Weifeng Lv
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