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Data-based analysis, modelling and forecasting of the COVID-19 outbreak

Citations

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Cited by:

  1. Cem Cakmakli & Yasin Simsek, 2023. "Bridging the Covid-19 Data and the Epidemiological Model using Time-Varying Parameter SIRD Model," Papers 2301.13692, arXiv.org.
  2. Li, Shaoran & Linton, Oliver, 2021. "When will the Covid-19 pandemic peak?," Journal of Econometrics, Elsevier, vol. 220(1), pages 130-157.
  3. Edith C. Obiefuna & Obed I. Ojonta & Jonathan E. Ogbuabor, 2024. "The influence of COVID-19 pandemic and coping strategies on work operation of nonfarm household enterprises in Nigeria," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(6), pages 13595-13610, June.
  4. Mati, Sagiru, 2021. "Do as your neighbours do? Assessing the impact of lockdown and reopening on the active COVID-19 cases in Nigeria," Social Science & Medicine, Elsevier, vol. 270(C).
  5. Chénangnon Frédéric Tovissodé & Bruno Enagnon Lokonon & Romain Glèlè Kakaï, 2020. "On the use of growth models to understand epidemic outbreaks with application to COVID-19 data," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-14, October.
  6. Marcelo C. Medeiros & Henrique F. Pires, 2021. "The Proper Use of Google Trends in Forecasting Models," Papers 2104.03065, arXiv.org, revised Apr 2021.
  7. Memon, Zaibunnisa & Qureshi, Sania & Memon, Bisharat Rasool, 2021. "Assessing the role of quarantine and isolation as control strategies for COVID-19 outbreak: A case study," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).
  8. repec:rim:rimwps:20-23 is not listed on IDEAS
  9. Dorn, Florian & Lange, Berit & Braml, Martin & Gstrein, David & Nyirenda, John L.Z. & Vanella, Patrizio & Winter, Joachim & Fuest, Clemens & Krause, Gérard, 2023. "The challenge of estimating the direct and indirect effects of COVID-19 interventions – Toward an integrated economic and epidemiological approach," Economics & Human Biology, Elsevier, vol. 49(C).
  10. Mahmoud M. Mansour & Mohammed A. Farsi & Salah M. Mohamed & Enayat M. Abd Elrazik, 2021. "Modeling the COVID-19 Pandemic Dynamics in Egypt and Saudi Arabia," Mathematics, MDPI, vol. 9(8), pages 1-13, April.
  11. Nathan H. Schumaker & Sydney M. Watkins, 2021. "Adding Space to Disease Models: A Case Study with COVID-19 in Oregon, USA," Land, MDPI, vol. 10(4), pages 1-13, April.
  12. Bhardwaj, Rashmi & Bangia, Aashima, 2020. "Data driven estimation of novel COVID-19 transmission risks through hybrid soft-computing techniques," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
  13. Shailesh Bharati & Rahul Batra, 2021. "How Misuse of Statistics Can Spread Misinformation: A Study of Misrepresentation of COVID-19 Data," Papers 2102.07198, arXiv.org.
  14. Cheng-Der Fuh & Yanwei Jia & Steven Kou, 2023. "A General Framework for Importance Sampling with Markov Random Walks," Papers 2311.12330, arXiv.org, revised Oct 2025.
  15. Noureddine Ouerfelli & Narcisa Vrinceanu & Diana Coman & Adriana Lavinia Cioca, 2022. "Empirical Modeling of COVID-19 Evolution with High/Direct Impact on Public Health and Risk Assessment," IJERPH, MDPI, vol. 19(6), pages 1-13, March.
  16. Lucia Russo & Cleo Anastassopoulou & Athanasios Tsakris & Gennaro Nicola Bifulco & Emilio Fortunato Campana & Gerardo Toraldo & Constantinos Siettos, 2020. "Tracing day-zero and forecasting the COVID-19 outbreak in Lombardy, Italy: A compartmental modelling and numerical optimization approach," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-22, October.
  17. František Božek & Irena Tušer, 2021. "Measures for Ensuring Sustainability during the Current Spreading of Coronaviruses in the Czech Republic," Sustainability, MDPI, vol. 13(12), pages 1-22, June.
  18. Dean Fantazzini, 2020. "Short-term forecasting of the COVID-19 pandemic using Google Trends data: Evidence from 158 countries," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 59, pages 33-54.
  19. Ali Najmi & Sahar Nazari & Farshid Safarighouzhdi & Eric J. Miller & Raina MacIntyre & Taha H. Rashidi, 2022. "Easing or tightening control strategies: determination of COVID-19 parameters for an agent-based model," Transportation, Springer, vol. 49(5), pages 1265-1293, October.
  20. Jiří Mazurek, 2021. "The evaluation of COVID-19 prediction precision with a Lyapunov-like exponent," PLOS ONE, Public Library of Science, vol. 16(5), pages 1-9, May.
  21. Yan Hao & Ting Xu & Hongping Hu & Peng Wang & Yanping Bai, 2020. "Prediction and analysis of Corona Virus Disease 2019," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-15, October.
  22. Ping He & Yu Gao & Longfei Guo & Tongtong Huo & Yuxin Li & Xingren Zhang & Yunfeng Li & Cheng Peng & Fanyun Meng, 2021. "Evaluating the Disaster Risk of the COVID-19 Pandemic Using an Ecological Niche Model," Sustainability, MDPI, vol. 13(21), pages 1-23, October.
  23. Elena Loli Piccolomini & Fabiana Zama, 2020. "Monitoring Italian COVID-19 spread by a forced SEIRD model," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-17, August.
  24. Roland Pongou & Guy Tchuente & Jean-Baptiste Tondji, 2020. "An Economic Model of Health-vs-Wealth Prioritization During COVID-19: Optimal Lockdown, Network Centrality, and Segregation," Working Papers 2009E Classification-E61,, University of Ottawa, Department of Economics.
  25. Bosiljka Tadić & Roderick Melnik, 2020. "Modeling latent infection transmissions through biosocial stochastic dynamics," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-16, October.
  26. Çaparoğlu, Ömer Faruk & Ok, Yeşim & Tutam, Mahmut, 2021. "To restrict or not to restrict? Use of artificial neural network to evaluate the effectiveness of mitigation policies: A case study of Turkey," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).
  27. Huang, Chiou-Jye & Shen, Yamin & Kuo, Ping-Huan & Chen, Yung-Hsiang, 2022. "Novel spatiotemporal feature extraction parallel deep neural network for forecasting confirmed cases of coronavirus disease 2019," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
  28. Marcell Tamás Kurbucz & Attila Imre Katona & Zoltán Lantos & Zsolt Tibor Kosztyán, 2021. "The Role of Societal Aspects in the Formation of Official COVID-19 Reports: A Data-Driven Analysis," IJERPH, MDPI, vol. 18(4), pages 1-15, February.
  29. Kevin Pacheco-Barrios & Alejandra Cardenas-Rojas & Stefano Giannoni-Luza & Felipe Fregni, 2020. "COVID-19 pandemic and Farr’s law: A global comparison and prediction of outbreak acceleration and deceleration rates," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-25, September.
  30. repec:bjf:journl:v:5:y:2020:i:8:p:141-144 is not listed on IDEAS
  31. Anagh Chattopadhyay & Soudeep Deb, 2024. "A spatio-temporal model for binary data and its application in analyzing the direction of COVID-19 spread," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 108(4), pages 823-851, December.
  32. Daniel Garcia-Vicuña & Laida Esparza & Fermin Mallor, 2022. "Hospital preparedness during epidemics using simulation: the case of COVID-19," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(1), pages 213-249, March.
  33. Kalyani Devendra Jagtap & Kundan Kandhway, 2025. "Trading-off lives and livelihood: optimal lockdown policy in a unified epidemic and economic framework," OPSEARCH, Springer;Operational Research Society of India, vol. 62(2), pages 725-771, June.
  34. Umar Albalawi & Mohammed Mustafa, 2022. "Current Artificial Intelligence (AI) Techniques, Challenges, and Approaches in Controlling and Fighting COVID-19: A Review," IJERPH, MDPI, vol. 19(10), pages 1-24, May.
  35. Papo, David & Righetti, Marco & Fadiga, Luciano & Biscarini, Fabio & Zanin, Massimiliano, 2020. "A minimal model of hospital patients’ dynamics in COVID-19," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
  36. Ekinci, Aykut, 2021. "Modelling and forecasting of growth rate of new COVID-19 cases in top nine affected countries: Considering conditional variance and asymmetric effect," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).
  37. Albertus J. Smit & Jennifer M. Fitchett & Francois A. Engelbrecht & Robert J. Scholes & Godfrey Dzhivhuho & Neville A. Sweijd, 2020. "Winter Is Coming: A Southern Hemisphere Perspective of the Environmental Drivers of SARS-CoV-2 and the Potential Seasonality of COVID-19," IJERPH, MDPI, vol. 17(16), pages 1-28, August.
  38. Jordan J Bird & Chloe M Barnes & Cristiano Premebida & Anikó Ekárt & Diego R Faria, 2020. "Country-level pandemic risk and preparedness classification based on COVID-19 data: A machine learning approach," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-20, October.
  39. Higazy, M., 2020. "Novel fractional order SIDARTHE mathematical model of COVID-19 pandemic," Chaos, Solitons & Fractals, Elsevier, vol. 138(C).
  40. Yiannakoulias, Nikolaos & Slavik, Catherine E. & Sturrock, Shelby L. & Darlington, J. Connor, 2020. "Open government data, uncertainty and coronavirus: An infodemiological case study," Social Science & Medicine, Elsevier, vol. 265(C).
  41. Cooper, Ian & Mondal, Argha & Antonopoulos, Chris G., 2020. "Dynamic tracking with model-based forecasting for the spread of the COVID-19 pandemic," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
  42. Cooper, Ian & Mondal, Argha & Antonopoulos, Chris G., 2020. "A SIR model assumption for the spread of COVID-19 in different communities," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
  43. Silva, Petrônio C.L. & Batista, Paulo V.C. & Lima, Hélder S. & Alves, Marcos A. & Guimarães, Frederico G. & Silva, Rodrigo C.P., 2020. "COVID-ABS: An agent-based model of COVID-19 epidemic to simulate health and economic effects of social distancing interventions," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
  44. Xiaoping Liu, 2023. "Analytical solution of l-i SEIR model–Comparison of l-i SEIR model with conventional SEIR model in simulation of epidemic curves," PLOS ONE, Public Library of Science, vol. 18(6), pages 1-16, June.
  45. Masud M A & Md Hamidul Islam & Khondaker A. Mamun & Byul Nim Kim & Sangil Kim, 2020. "COVID-19 Transmission: Bangladesh Perspective," Mathematics, MDPI, vol. 8(10), pages 1-19, October.
  46. Roland Pongou & Guy Tchuente & Jean-Baptiste Tondji, 2023. "Optimal interventions in networks during a pandemic," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(2), pages 847-883, April.
  47. Phebo D Wibbens & Wesley Wu-Yi Koo & Anita M McGahan, 2020. "Which COVID policies are most effective? A Bayesian analysis of COVID-19 by jurisdiction," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-19, December.
  48. Han, Zhimin & Wang, Yi & Cao, Jinde, 2023. "Impact of contact heterogeneity on initial growth behavior of an epidemic: Complex network-based approach," Applied Mathematics and Computation, Elsevier, vol. 451(C).
  49. Gregory L Watson & Di Xiong & Lu Zhang & Joseph A Zoller & John Shamshoian & Phillip Sundin & Teresa Bufford & Anne W Rimoin & Marc A Suchard & Christina M Ramirez, 2021. "Pandemic velocity: Forecasting COVID-19 in the US with a machine learning & Bayesian time series compartmental model," PLOS Computational Biology, Public Library of Science, vol. 17(3), pages 1-20, March.
  50. Pau Fonseca i Casas & Joan Garcia i Subirana & Víctor García i Carrasco & Xavier Pi i Palomés, 2021. "SARS-CoV-2 Spread Forecast Dynamic Model Validation through Digital Twin Approach, Catalonia Case Study," Mathematics, MDPI, vol. 9(14), pages 1-17, July.
  51. James, Nick & Menzies, Max & Chan, Jennifer, 2021. "Changes to the extreme and erratic behaviour of cryptocurrencies during COVID-19," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).
  52. Nick James, 2021. "Dynamics, behaviours, and anomaly persistence in cryptocurrencies and equities surrounding COVID-19," Papers 2101.00576, arXiv.org, revised Feb 2021.
  53. Song, Jialu & Xie, Hujin & Gao, Bingbing & Zhong, Yongmin & Gu, Chengfan & Choi, Kup-Sze, 2021. "Maximum likelihood-based extended Kalman filter for COVID-19 prediction," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).
  54. Brototi Biswas & Ketan Das & Debashis Saikia & Pradip Chouhan, 2024. "COVID-19 Hotspot Mapping and Prediction in Aizawl District of Mizoram: a Hotspot and SEIR Model-Based Analysis," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 86(1), pages 1-26, February.
  55. Mayra R Tocto-Erazo & Jorge A Espíndola-Zepeda & José A Montoya-Laos & Manuel A Acuña-Zegarra & Daniel Olmos-Liceaga & Pablo A Reyes-Castro & Gudelia Figueroa-Preciado, 2020. "Lockdown, relaxation, and acme period in COVID-19: A study of disease dynamics in Hermosillo, Sonora, Mexico," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-18, December.
  56. Nguyen, Tri K. & Hoang, Nam H. & Currie, Graham & Vu, Hai L., 2022. "Enhancing Covid-19 virus spread modeling using an activity travel model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 161(C), pages 186-199.
  57. Alexey I. Borovkov & Marina V. Bolsunovskaya & Aleksei M. Gintciak, 2022. "Intelligent Data Analysis for Infection Spread Prediction," Sustainability, MDPI, vol. 14(4), pages 1-11, February.
  58. Roster, Kirstin & Connaughton, Colm & Rodrigues, Francisco A., 2022. "Forecasting new diseases in low-data settings using transfer learning," Chaos, Solitons & Fractals, Elsevier, vol. 161(C).
  59. Roy Cerqueti & Alessandro Ramponi & Sergio Scarlatti, 2024. "A compartmental model for the dynamic simulation of pandemics with a multi-phase vaccination and its application to Italian COVID-19 data," Post-Print hal-05111935, HAL.
  60. Marco Gribaudo & Mauro Iacono & Daniele Manini, 2021. "COVID-19 Spatial Diffusion: A Markovian Agent-Based Model," Mathematics, MDPI, vol. 9(5), pages 1-12, February.
  61. Konstantinos Demertzis & Dimitrios Tsiotas & Lykourgos Magafas, 2020. "Modeling and Forecasting the COVID-19 Temporal Spread in Greece: An Exploratory Approach Based on Complex Network Defined Splines," IJERPH, MDPI, vol. 17(13), pages 1-17, June.
  62. Ali, Aatif & Sun, Mei & Ali, Mohamed R., 2025. "Data analysis of dynamical system for the optimization of disease dynamics through Neural Networks Paradigm," Chaos, Solitons & Fractals, Elsevier, vol. 196(C).
  63. Pongou, Roland & Tchuente, Guy & Tondji, Jean-Baptiste, 2021. "Optimally Targeting Interventions in Networks during a Pandemic: Theory and Evidence from the Networks of Nursing Homes in the United States," GLO Discussion Paper Series 957, Global Labor Organization (GLO).
  64. Kanno, Masayasu, 2021. "Risk contagion of COVID-19 in Japanese firms: A network approach," Research in International Business and Finance, Elsevier, vol. 58(C).
  65. Giacomo De Nicola & Marc Schneble & Göran Kauermann & Ursula Berger, 2022. "Regional now- and forecasting for data reported with delay: toward surveillance of COVID-19 infections," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 106(3), pages 407-426, September.
  66. James, Nick, 2021. "Dynamics, behaviours, and anomaly persistence in cryptocurrencies and equities surrounding COVID-19," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 570(C).
  67. Javier Cifuentes-Faura & Ursula Faura-Martínez & Matilde Lafuente-Lechuga, 2022. "Mathematical Modeling and the Use of Network Models as Epidemiological Tools," Mathematics, MDPI, vol. 10(18), pages 1-14, September.
  68. Păcurar, Cristina-Maria & Necula, Bogdan-Radu, 2020. "An analysis of COVID-19 spread based on fractal interpolation and fractal dimension," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
  69. Daniel K Sewell & Aaron Miller & for the CDC MInD-Healthcare Program, 2020. "Simulation-free estimation of an individual-based SEIR model for evaluating nonpharmaceutical interventions with an application to COVID-19 in the District of Columbia," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-18, November.
  70. Vaishnav, Vaibhav & Vajpai, Jayashri, 2020. "Assessment of impact of relaxation in lockdown and forecast of preparation for combating COVID-19 pandemic in India using Group Method of Data Handling," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
  71. Tsiligianni, Christiana & Tsiligiannis, Aristeides & Tsiliyannis, Christos, 2023. "A stochastic inventory model of COVID-19 and robust, real-time identification of carriers at large and infection rate via asymptotic laws," European Journal of Operational Research, Elsevier, vol. 304(1), pages 42-56.
  72. Roland Pongou & Guy Tchuente & Jean-Baptiste Tondji, 2021. "Optimally Targeting Interventions in Networks during a Pandemic: Theory and Evidence from the Networks of Nursing Homes in the United States," Papers 2110.10230, arXiv.org.
  73. Rajnesh Lal & Weidong Huang & Zhenquan Li, 2021. "An application of the ensemble Kalman filter in epidemiological modelling," PLOS ONE, Public Library of Science, vol. 16(8), pages 1-25, August.
  74. Waychal, Nachiketas & Laha, Arnab Kumar & Sinha, Ankur, 2022. "Customized forecasting with Adaptive Ensemble Generator," IIMA Working Papers WP 2022-06-04, Indian Institute of Management Ahmedabad, Research and Publication Department.
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