This paper is in the following e-collection/theme issue:

JMIR Theme Issue: COVID-19 Special Issue (2388) Infectious Diseases (non-STD/STI) (1480) Outbreak and Pandemic Preparedness and Management (1673) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1482)

Published on in Vol 22, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20912, first published .
Multiple Epidemic Wave Model of the COVID-19 Pandemic: Modeling Study

Multiple Epidemic Wave Model of the COVID-19 Pandemic: Modeling Study

Multiple Epidemic Wave Model of the COVID-19 Pandemic: Modeling Study

Authors of this article:

Efthimios Kaxiras1 Author Orcid Image ;   Georgios Neofotistos2 Author Orcid Image
Article Authors Cited by (58) Tweetations (3) Metrics

Journals

  1. Tat Dat T, Frédéric P, Hang N, Jules M, Duc Thang N, Piffault C, Willy R, Susely F, Lê H, Tuschmann W, Tien Zung N. Epidemic Dynamics via Wavelet Theory and Machine Learning with Applications to Covid-19. Biology 2020;9(12):477 View
  2. Suppan M, Catho G, Robalo Nunes T, Sauvan V, Perez M, Graf C, Pittet D, Harbarth S, Abbas M, Suppan L. A Serious Game Designed to Promote Safe Behaviors Among Health Care Workers During the COVID-19 Pandemic: Development of “Escape COVID-19”. JMIR Serious Games 2020;8(4):e24986 View
  3. Qin L, Wang Y, Sun Q, Zhang X, Shia B, Liu C. Analysis of the COVID-19 Epidemic Transmission Network in Mainland China: K-Core Decomposition Study. JMIR Public Health and Surveillance 2020;6(4):e24291 View
  4. Adly A, Adly M, Adly A. Telemanagement of Home-Isolated COVID-19 Patients Using Oxygen Therapy With Noninvasive Positive Pressure Ventilation and Physical Therapy Techniques: Randomized Clinical Trial. Journal of Medical Internet Research 2021;23(4):e23446 View
  5. Farkas C, Iclanzan D, Olteán-Péter B, Vekov G. Estimation of parameters for a humidity-dependent compartmental model of the COVID-19 outbreak. PeerJ 2021;9:e10790 View
  6. Olaniyan O, Adetunji C, Okotie G, Adeyomoye O, Anani O, Mali P. Impact of COVID-19 on assisted reproductive technologies and its multifacet influence on global bioeconomy. Journal of Reproductive Healthcare and Medicine 2021;2:92 View
  7. Gavriilaki E, Asteris P, Touloumenidou T, Koravou E, Koutra M, Papayanni P, Karali V, Papalexandri A, Varelas C, Chatzopoulou F, Chatzidimitriou M, Chatzidimitriou D, Veleni A, Grigoriadis S, Rapti E, Chloros D, Kioumis I, Kaimakamis E, Bitzani M, Boumpas D, Tsantes A, Sotiropoulos D, Sakellari I, Kalantzis I, Parastatidis S, Koopialipoor M, Cavaleri L, Armaghani D, Papadopoulou A, Brodsky R, Kokoris S, Anagnostopoulos A. Genetic justification of severe COVID-19 using a rigorous algorithm. Clinical Immunology 2021;226:108726 View
  8. Camerlink I, Nielsen B, Windschnurer I, Vigors B. Impacts of the COVID-19 pandemic on animal behaviour and welfare researchers. Applied Animal Behaviour Science 2021;236:105255 View
  9. Staffini A, Svensson A, Chung U, Svensson T. An Agent-Based Model of the Local Spread of SARS-CoV-2: Modeling Study. JMIR Medical Informatics 2021;9(4):e24192 View
  10. Sowers K, Galantino M. Living with primary immunodeficiency disease during the Covid-19 pandemic. Journal of Public Health 2022;30(12):2753 View
  11. Warde P, Patel S, Ferreira T, Gershengorn H, Bhatia M, Parekh D, Manni K, Shukla B. Linking prediction models to government ordinances to support hospital operations during the COVID-19 pandemic. BMJ Health & Care Informatics 2021;28(1):e100248 View
  12. Safiabadi Tali S, LeBlanc J, Sadiq Z, Oyewunmi O, Camargo C, Nikpour B, Armanfard N, Sagan S, Jahanshahi-Anbuhi S. Tools and Techniques for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)/COVID-19 Detection. Clinical Microbiology Reviews 2021;34(3) View
  13. Gupta A, Goyal-Honavar A, Jonathan G, Prabhu K, Varghese G, Rupali P, Chacko A. Adapting management strategies for sellar-suprasellar lesions during the COVID-19 pandemic: a pragmatic approach from the frontline. British Journal of Neurosurgery 2024;38(3):596 View
  14. Cheng C, Wang H, Chau C. Mental health issues and health disparities amid COVID-19 outbreak in China: Comparison of residents inside and outside the epicenter. Psychiatry Research 2021;303:114070 View
  15. Hale T, Angrist N, Hale A, Kira B, Majumdar S, Petherick A, Phillips T, Sridhar D, Thompson R, Webster S, Zhang Y, Seale H. Government responses and COVID-19 deaths: Global evidence across multiple pandemic waves. PLOS ONE 2021;16(7):e0253116 View
  16. Caro J, Möller J, Santhirapala V, Gill H, Johnston J, El-Boghdadly K, Santhirapala R, Kelly P, McGuire A. Predicting Hospital Resource Use During COVID-19 Surges: A Simple but Flexible Discretely Integrated Condition Event Simulation of Individual Patient-Hospital Trajectories. Value in Health 2021;24(11):1570 View
  17. Vasconcelos G, Brum A, Almeida F, Macêdo A, Duarte-Filho G, Ospina R. Standard and Anomalous Waves of COVID-19: A Multiple-Wave Growth Model for Epidemics. Brazilian Journal of Physics 2021;51(6):1867 View
  18. Kang X, Hu Y, Liu Z, Sarwar S. Forecast and evaluation of asymptomatic COVID-19 patients spreading in China. Results in Physics 2022;34:105195 View
  19. Girardi P, Greco L, Ventura L. Misspecified modeling of subsequent waves during COVID‐19 outbreak: A change‐point growth model. Biometrical Journal 2022;64(3):523 View
  20. Fan C, Lee R, Yang Y, Mostafavi A. Fine-grained data reveal segregated mobility networks and opportunities for local containment of COVID-19. Scientific Reports 2021;11(1) View
  21. Ahmad T, Aliaga Lazarte E, Mirjalili S. A Systematic Literature Review on Fake News in the COVID-19 Pandemic: Can AI Propose a Solution?. Applied Sciences 2022;12(24):12727 View
  22. Faheem S, D’Mello J, Kaleem S, Prasad B, Siddiqui K. Rapid Serological Testing for Managing the COVID-19 Pandemic: A Review. The Open Biomarkers Journal 2021;11(1):99 View
  23. Namiki M, Yano R. A numerical method to calculate multiple epidemic waves in COVID-19 with a realistic total number of people involved. Journal of Statistical Mechanics: Theory and Experiment 2022;2022(3):033403 View
  24. Krechetov M, Esmaieeli Sikaroudi A, Efrat A, Polishchuk V, Chertkov M. Prediction and prevention of pandemics via graphical model inference and convex programming. Scientific Reports 2022;12(1) View
  25. Lai H, Tao Y, Shen M, Li R, Zou M, Zhang L, Zhang L. What Is the Impact of Early and Subsequent Epidemic Characteristics on the Pre-delta COVID-19 Epidemic Size in the United States?. Pathogens 2022;11(5):576 View
  26. Perakis G, Singhvi D, Skali Lami O, Thayaparan L. COVID‐19: A multiwave SIR‐based model for learning waves. Production and Operations Management 2023;32(5):1471 View
  27. Neofotistos G, Angeli M, Mattheakis M, Kaxiras E. Susceptibility to Resurgent COVID-19 Outbreaks Following Vaccine Rollouts: A Modeling Study. Viruses 2022;14(10):2237 View
  28. Perone G. Assessing the impact of long-term exposure to nine outdoor air pollutants on COVID-19 spatial spread and related mortality in 107 Italian provinces. Scientific Reports 2022;12(1) View
  29. Akman O, Chauhan S, Ghosh A, Liesman S, Michael E, Mubayi A, Perlin R, Seshaiyer P, Tripathi J. The Hard Lessons and Shifting Modeling Trends of COVID-19 Dynamics: Multiresolution Modeling Approach. Bulletin of Mathematical Biology 2022;84(1) View
  30. Grinchuk P, Fisenko S, Shnip A. Mathematical modeling of the vaccination influence on the COVID-19 epidemic propagation. Doklady of the National Academy of Sciences of Belarus 2022;66(3):274 View
  31. Kwan T, Wong N, Yeoh E, Lee S. Shifts of SARS-CoV-2 exposure settings in the transmission clusters of 2 epidemic waves in Hong Kong. International Journal of Environmental Health Research 2023;33(9):911 View
  32. Mohazzabi P, Richardson G, Richardson G. Effectiveness of Various Prevention Measures in a Pandemic. Journal of Applied Mathematics and Physics 2022;10(04):1240 View
  33. Valeriano J, Cintra P, Libotte G, Reis I, Fontinele F, Silva R, Malta S. Sequential time-window learning with approximate Bayesian computation: an application to epidemic forecasting. Nonlinear Dynamics 2023;111(1):549 View
  34. Tang B, Zhou W, Wang X, Wu H, Xiao Y. Controlling Multiple COVID-19 Epidemic Waves: An Insight from a Multi-scale Model Linking the Behaviour Change Dynamics to the Disease Transmission Dynamics. Bulletin of Mathematical Biology 2022;84(10) View
  35. Khan Z, Ali S, Mohsin M, Parvin F, Shamim S, Ahmad A. A district-level vulnerability assessment of next COVID-19 variant (Omicron BA.2) in Uttarakhand using quantitative SWOT analysis. Environment, Development and Sustainability 2022;26(1):657 View
  36. Berkeveld E, Mikdad S, Terra M, Kramer M, Bloemers F, Zandbergen H, van den Brink A, van der Does de Willebois E, van Embden D, Furumaya A, de Haan M, de Buij Wenniger L, Nooijen L, Penning D, Zinger I, van den Berg M, Bonink D, Dokter J, Fresen T, Homma P, Janse A, Rhebergen M, van der Steeg M, van der Voort L, Wessel M, Al-Dulaimy M, Benner P, de Bruin M, Balkema S, Douma R, de Geus M, de Groot F, Grotens P, van Haarst J, Hené I, Hooker A, Houwink A, Huisman L, Joosse P, Kamphuis A, Kapteijns E, Koelman T, Kohlen M, Landveld C, Lecluse R, Lindeboom A, Meijer E, Nagel P, van Nieuwenhuizen R, van Nieuwmegen J, Ponsen K, Posthuma N, Rebel M, Sentjes R, de Smit S, Snijders D, Stigter A, Vermeulen J, Vermin B, Vieleers N, Vroom M, Wien J, Witjes H, Poorthuis M. Optimization of a Patient Distribution Framework: Second Wave COVID-19 Preparedness and Challenges in the Amsterdam Region. Health Security 2023;21(1):4 View
  37. Sivaraman N, Gaur M, Baijal S, Muthiah S, Sheth A. Exo-SIR: an epidemiological model to analyze the impact of exogenous spread of infection. International Journal of Data Science and Analytics 2022 View
  38. Sarwar Uddin M, Rafiq R. Characterizing pandemic waves: A latent class analysis of COVID-19 spread across US counties. Pattern Recognition Letters 2022;162:31 View
  39. Fan C, Jiang X, Lee R, Mostafavi A. Data-driven contact network models of COVID-19 reveal trade-offs between costs and infections for optimal local containment policies. Cities 2022;128:103805 View
  40. De Cos Guerra O, Castillo Salcines V, Cantarero Prieto D. Are spatial patterns of Covid‐19 changing? Spatiotemporal analysis over four waves in the region of Cantabria, Spain. Transactions in GIS 2022;26(4):1981 View
  41. Mukherjee S, Mondal S, Bagchi B. Stochastic formulation of multiwave pandemic: decomposition of growth into inherent susceptibility and external infectivity distributions. Journal of Chemical Sciences 2021;133(4) View
  42. Sardar T, Nadim S, Rana S. Detection of multiple waves for COVID-19 and its optimal control through media awareness and vaccination: study based on some Indian states. Nonlinear Dynamics 2023;111(2):1903 View
  43. Angeli M, Neofotistos G, Mattheakis M, Kaxiras E. Modeling the effect of the vaccination campaign on the COVID-19 pandemic. Chaos, Solitons & Fractals 2022;154:111621 View
  44. Bian D, Sabri S, Abdulkarim B. Interactions between COVID-19 and Lung Cancer: Lessons Learned during the Pandemic. Cancers 2022;14(15):3598 View
  45. Guo Z, Xiao G, Wang Y, Li S, Du J, Dai B, Gong L, Xiao D. Dynamic model of respiratory infectious disease transmission in urban public transportation systems. Heliyon 2023;9(3):e14500 View
  46. Loo B, Tsoi K, Axhausen K, Cao M, Lee Y, Koh K. Spatial risk for a superspreading environment: Insights from six urban facilities in six global cities across four continents. Frontiers in Public Health 2023;11 View
  47. Harvey J, Chan B, Srivastava T, Zarebski A, Dłotko P, Błaszczyk P, Parkinson R, White L, Aguas R, Mahdi A. Epidemiological waves - Types, drivers and modulators in the COVID-19 pandemic. Heliyon 2023;9(5):e16015 View
  48. Fokas A, Dikaios N, Yortsos Y. An algebraic formula, deep learning and a novel SEIR-type model for the COVID-19 pandemic. Royal Society Open Science 2023;10(8) View
  49. Sivaraman N, Baijal S, Muthiah S. On the usage of epidemiological models for information diffusion over twitter. Social Network Analysis and Mining 2023;13(1) View
  50. Weligampola H, Ramanayake L, Ranasinghe Y, Ilangarathna G, Senarath N, Samarakoon B, Godaliyadda R, Herath V, Ekanayake P, Ekanayake J, Maheswaran M, Theminimulle S, Rathnayake A, Dharmaratne S, Pinnawala M, Yatigammana S, Tilakaratne G. Pandemic Simulator: An Agent-Based Framework with Human Behavior Modeling for Pandemic-Impact Assessment to Build Sustainable Communities. Sustainability 2023;15(14):11120 View
  51. Pradeep M, Raman K, Tayara H. COWAVE: A labelled COVID-19 wave dataset for building predictive models. PLOS ONE 2023;18(7):e0284076 View
  52. Darabi A, Siami M. Centrality-Based Traffic Restriction in Delayed Epidemic Networks. SIAM Journal on Applied Dynamical Systems 2023;22(4):3165 View
  53. Chen Z, Links J, Igusa T, Slemp C, Schoch-Spana M, Burhans R, Watson C, Long R, Sell T. COPEWELL all-hazards resilience model predicts COVID-19 outcomes. International Journal of Disaster Risk Reduction 2024;106:104414 View
  54. Lobov S, Zharinov A, Berdnikova E, Kurganov D, Kazantsev V. Information feedback provokes multi-peak dynamics in the modern pandemic spreading. Nonlinear Dynamics 2024 View

Books/Policy Documents

  1. Postnikov E. Modeling, Control and Drug Development for COVID-19 Outbreak Prevention. View
  2. Levantesi S, Nigri A, Piscopo G. Quantitative Methods in Demography. View