col blocks we are bridge builder col blocks
COVID answers in Scientific Journals all over the world

Springer-Verlag: The European Physical Journal Plus
  original article Date Title Authors   All Authors
1 [GO] 2021―May―31 Application of reinforcement learning for effective vaccination strategies of coronavirus disease 2019 (COVID-19) Alireza Beigi, Amin Yousefpour, Amirreza Yasami, J. F. Gómez-Aguilar, Stelios Bekiros, Hadi Jahanshahi
2 [GO] 2021―May―28 The second and third waves in India: when will the pandemic be culminated? C. Kavitha, A. Gowrisankar, Santo Banerjee
3 [GO] 2021―May―03 A study on the possible merits of using symptomatic cases to trace the development of the COVID-19 pandemic Gianluca Bonifazi, Luca Lista, Dario Menasce, Mauro Mezzetto, Daniele Pedrini, Roberto Spighi, Antonio Zoccoli
4 [GO] 2021―Apr―11 A simplified estimate of the effective reproduction number $$R_t$$ using its relation with the doubling time and application to Italian COVID-19 data Gianluca Bonifazi, Luca Lista, Dario Menasce, Mauro Mezzetto, Daniele Pedrini, Roberto Spighi, Antonio Zoccoli
5 [GO] 2021―Apr―05 Modeling of COVID-19 with limited public health resources: a comparative study of three most affected countries Akhil Kumar Srivastav, Mini Ghosh, Shraddha Ramdas Bandekar
6 [GO] 2021―Feb―20 Impact of control interventions on COVID-19 population dynamics in Malaysia: a mathematical study Afeez Abidemi, Zaitul Marlizawati Zainuddin, Nur Arina Bazilah Aziz
7 [GO] 2021―Feb―03 A robust study on 2019-nCOV outbreaks through non-singular derivative Muhammad Altaf Khan, Saif Ullah, Sunil Kumar
8 [GO] 2020―Nov―25 Mathematical modelling and optimal cost-effective control of COVID-19 transmission dynamics S. Olaniyi, O. S. Obabiyi, K. O. Okosun, A. T. Oladipo, S. O. Adewale
9 [GO] 2020―Nov―23 Intelligent computing with Levenberg-Marquardt artificial neural networks for nonlinear system of COVID-19 epidemic model for future generation disease control Tahir Nawaz Cheema, Muhammad Asif Zahoor Raja, Iftikhar Ahmad, Shafaq Naz, Hira Ilyas, Muhammad Shoaib
10 [GO] 2020―Nov―04 Describing the COVID-19 outbreak during the lockdown: fitting modified SIR models to data Aldo Ianni, Nicola Rossi
11 [GO] 2020―Oct―29 Modeling and analysis of COVID-19 epidemics with treatment in fractional derivatives using real data from Pakistan Parvaiz Ahmad Naik, Mehmet Yavuz, Sania Qureshi, Jian Zu, Stuart Townley
12 [GO] 2020―Oct―09 Chaos, percolation and the coronavirus spread: a two-step model Hua Zheng, Aldo Bonasera
13 [GO] 2020―Aug―18 A note on Corona-virus (Covid-19) Infection in Italy Angelo Pagano, Emanuele V. Pagano, Grazia Pagano, Santi Spartà
14 [GO] 2020―Aug―11 Spreading of COVID-19 in Italy as the spreading of a wave packet A. Feoli, A. L. Iannella, E. Benedetto
15 [GO] 2020―Jul―25 A novel deterministic forecast model for COVID-19 epidemic based on a single ordinary integro-differential equation Felix Köhler-Rieper, Claudius H. F. Röhl, Enrico De Micheli
16 [GO] 2020―Jun―26 Can India develop herd immunity against COVID-19? A. Gowrisankar, Lamberto Rondoni, Santo Banerjee
17 [GO] 2020―Jun―22 Common trends in the epidemic of Covid-19 disease Milad Radiom, Jean-François Berret
18 [GO] 2020―Jun―15 An improved mathematical prediction of the time evolution of the Covid-19 pandemic in Italy, with a Monte Carlo simulation and error analyses Ignazio Ciufolini, Antonio Paolozzi
19 [GO] 2020―Jun―02 The coronavirus spread: the Italian case Aldo Bonasera, G. Bonasera, Suyalatu Zhang
20 [GO] 2020―May―19 Mathematical prediction of the time evolution of the COVID-19 pandemic in Italy by a Gauss error function and Monte Carlo simulations Ignazio Ciufolini, Antonio Paolozzi


Last change 2021―Jun―30 20:09:44 UTC

© Daten-Quadrat 2021       Done in 0.005 sec