Mathematical Model of COVID-19 Pandemic with Double Dose Vaccination

[1]  E. F. Doungmo Goufo,et al.  The impact of COVID-19 on a Malaria dominated region: A mathematical analysis and simulations , 2022, Alexandria Engineering Journal.

[2]  O. J. Peter,et al.  Nonlinear optimal control strategies for a mathematical model of COVID-19 and influenza co-infection , 2022, Physica A: Statistical Mechanics and its Applications.

[3]  M. Ojo,et al.  Mathematical model of measles transmission dynamics using real data from Nigeria , 2022, Journal of Difference Equations and Applications.

[4]  O. J. Peter,et al.  A Mathematical Model Analysis of Meningitis with Treatment and Vaccination in Fractional Derivatives , 2022, International Journal of Applied and Computational Mathematics.

[5]  O. J. Peter,et al.  Mathematical model for control of tuberculosis epidemiology , 2022, Journal of Applied Mathematics and Computing.

[6]  Shraddha Ramdas Bandekar,et al.  A co-infection model on TB - COVID-19 with optimal control and sensitivity analysis , 2022, Mathematics and Computers in Simulation.

[7]  Fuad S. Al-Duais,et al.  Mathematical modeling and analysis of the SARS-Cov-2 disease with reinfection , 2022, Computational Biology and Chemistry.

[8]  Abraham J. Arenas,et al.  Mathematical Modeling to Study Optimal Allocation of Vaccines against COVID-19 Using an Age-Structured Population , 2022, Axioms.

[9]  M. Kuddus,et al.  Mathematical analysis of a COVID-19 model with double dose vaccination in Bangladesh , 2022, Results in Physics.

[10]  Lazarus Kalvein Beay,et al.  Modeling of COVID-19 spread with self-isolation at home and hospitalized classes , 2022, Results in Physics.

[11]  Zeeshan Ali,et al.  A fractional-order mathematical model for COVID-19 outbreak with the effect of symptomatic and asymptomatic transmissions , 2022, The European Physical Journal Plus.

[12]  M. Raja,et al.  Numerical treatment on the new fractional-order SIDARTHE COVID-19 pandemic differential model via neural networks , 2022, The European Physical Journal Plus.

[13]  E. Lau,et al.  Transmission dynamics and epidemiological characteristics of SARS-CoV-2 Delta variant infections in Guangdong, China, May to June 2021 , 2022, Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin.

[14]  Geoffrey I. Webb,et al.  Modeling Vaccine Efficacy for COVID-19 Outbreak in New York City , 2022, Biology.

[15]  A. Abidemi,et al.  Analysis of deterministic models for dengue disease transmission dynamics with vaccination perspective in Johor, Malaysia , 2022, International journal of applied and computational mathematics.

[16]  E. Avila-Vales,et al.  Sensitivity theorems of a model of multiple imperfect vaccines for COVID-19 , 2022, Chaos, Solitons & Fractals.

[17]  The Lancet Regional Health– Americas.  COVID-19 vaccine equity in the Americas , 2022, The Lancet Regional Health - Americas.

[18]  Mati ur Rahman,et al.  Investigation of time-fractional SIQR Covid-19 mathematical model with fractal-fractional Mittage-Leffler kernel , 2022, Alexandria Engineering Journal.

[19]  M. Adam,et al.  Mathematical epidemiologic and simulation modelling of first wave COVID-19 in Malaysia , 2021, Scientific Reports.

[20]  K. I. Musa,et al.  Modelling COVID-19 Scenarios for the States and Federal Territories of Malaysia , 2021, The Malaysian journal of medical sciences : MJMS.

[21]  S. Birch,et al.  Reflections on the potential role of acupuncture and Chinese herbal medicine in the treatment of Covid-19 and subsequent health problems , 2021, Integrative Medicine Research.

[22]  Jie Zhan,et al.  Current state of research about acupuncture for the treatment of COVID-19: A scoping review , 2021, Integrative Medicine Research.

[23]  C. P. Onyenegecha,et al.  A fractional-order model for COVID-19 and tuberculosis co-infection using Atangana–Baleanu derivative , 2021, Chaos, solitons, and fractals.

[24]  V. Asirvadam,et al.  Dynamic Modeling of COVID-19 Disease with Impact of Lockdown in Pakistan & Malaysia , 2021, 2021 IEEE International Conference on Signal and Image Processing Applications (ICSIPA).

[25]  O. J. Peter,et al.  Mathematical model of COVID-19 in Nigeria with optimal control , 2021, Results in Physics.

[26]  B. Gbadamosi,et al.  Modeling the dynamics of Lassa fever in Nigeria , 2021, Journal of the Egyptian Mathematical Society.

[27]  B. Gbadamosi,et al.  Modeling the dynamics of Lassa fever in Nigeria , 2021, Journal of the Egyptian Mathematical Society.

[28]  E. A. Algehyne,et al.  Fractal-fractional order mathematical vaccine model of COVID-19 under non-singular kernel , 2021, Chaos, Solitons, and Fractals.

[29]  J. Heffernan,et al.  Could a New COVID-19 Mutant Strain Undermine Vaccination Efforts? A Mathematical Modelling Approach for Estimating the Spread of B.1.1.7 Using Ontario, Canada, as a Case Study , 2021, Vaccines.

[30]  J. Khubchandani,et al.  The Nature and Extent of COVID-19 Vaccination Hesitancy in Healthcare Workers , 2021, Journal of Community Health.

[31]  Chang Hyeong Lee,et al.  Vaccination Prioritization Strategies for COVID-19 in Korea: A Mathematical Modeling Approach , 2021, International journal of environmental research and public health.

[32]  O. J. Peter,et al.  A new mathematical model of COVID-19 using real data from Pakistan , 2021, Results in Physics.

[33]  I. Chades,et al.  Optimal allocation of PCR tests to minimise disease transmission through contact tracing and quarantine , 2021, Epidemics.

[34]  A. Abidemi,et al.  Impact of control interventions on COVID-19 population dynamics in Malaysia: a mathematical study , 2021, The European Physical Journal Plus.

[35]  A. Gumel,et al.  A primer on using mathematics to understand COVID-19 dynamics: Modeling, analysis and simulations , 2020, Infectious Disease Modelling.

[36]  I. Nopens,et al.  Assessing the effects of non-pharmaceutical interventions on SARS-CoV-2 transmission in Belgium by means of an extended SEIQRD model and public mobility data , 2020, Epidemics.

[37]  E. D. Goufo,et al.  Assessing the impact of control interventions and awareness on malaria: a mathematical modeling approach , 2021, Communications in Mathematical Biology and Neuroscience.

[38]  Zhen Jin,et al.  Study on an SIHRS Model of COVID-19 Pandemic With Impulse and Time Delay Under Media Coverage , 2021, IEEE Access.

[39]  Dumitru Baleanu,et al.  Analysis and Dynamics of Fractional Order Mathematical Model of COVID-19 in Nigeria Using Atangana-Baleanu Operator , 2021, Computers, Materials & Continua.

[40]  S. C. Dass,et al.  A data driven change-point epidemic model for assessing the impact of large gathering and subsequent movement control order on COVID-19 spread in Malaysia , 2020, medRxiv.

[41]  K. Okosun,et al.  Mathematical modelling and optimal cost-effective control of COVID-19 transmission dynamics , 2020, The European Physical Journal Plus.

[42]  O. J. Peter,et al.  Modelling and optimal control analysis of Lassa fever disease , 2020 .

[43]  S. A. Zulkifli,et al.  Modeling the Impact of Lock-down on COVID-19 Spread in Malaysia , 2020, bioRxiv.

[44]  S. Oke,et al.  Mathematical modeling of malaria disease with control strategy , 2020 .

[45]  D. Okuonghae,et al.  Analysis of a mathematical model for COVID-19 population dynamics in Lagos, Nigeria , 2020, Chaos, Solitons & Fractals.

[46]  Nur Arina Bazilah Aziz,et al.  Optimal control strategies for dengue fever spread in Johor, Malaysia , 2020, Comput. Methods Programs Biomed..

[47]  Tian-mu Chen,et al.  A mathematical model for simulating the phase-based transmissibility of a novel coronavirus , 2020, Infectious Diseases of Poverty.

[48]  H. Rothan,et al.  The epidemiology and pathogenesis of coronavirus disease (COVID-19) outbreak , 2020, Journal of Autoimmunity.

[49]  Xinxin Zhang,et al.  Phase-adjusted estimation of the number of Coronavirus Disease 2019 cases in Wuhan, China , 2020, Cell Discovery.

[50]  O. J. Peter,et al.  Sensitivity analysis of the parameters of a cholera model , 2018 .

[51]  F. A. Oguntolu,et al.  Mathematical model for the control of infectious disease , 2018 .

[52]  F. A. Oguntolu,et al.  Mathematical model for the control of measles , 2018 .

[53]  Olumuyiwa James Peter,et al.  Mathematical Model for the Control of Typhoid Fever with Effects of Early Treatment , 2018 .

[54]  Will Usher,et al.  SALib: An open-source Python library for Sensitivity Analysis , 2017, J. Open Source Softw..

[55]  F. Akinpelu,et al.  Lyapunov Functions and Global Properties of SEIR Epidemic Model , 2017 .

[56]  Simon Cauchemez,et al.  Edinburgh Research Explorer Middle East respiratory syndrome coronavirus: quantification of the extent of the epidemic, surveillance biases, and transmissibility , 2022 .

[57]  Paola Annoni,et al.  Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index , 2010, Comput. Phys. Commun..

[58]  総務省統計局.  人口推計 = Current population estimates , 2010 .

[59]  D. Kirschner,et al.  A methodology for performing global uncertainty and sensitivity analysis in systems biology. , 2008, Journal of theoretical biology.

[60]  J. Watmough,et al.  Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission. , 2002, Mathematical biosciences.

[61]  A. Saltelli,et al.  Making best use of model evaluations to compute sensitivity indices , 2002 .

[62]  O. Diekmann,et al.  On the definition and the computation of the basic reproduction ratio R0 in models for infectious diseases in heterogeneous populations , 1990, Journal of mathematical biology.

[63]  B. Benjamin,et al.  ABRIDGED LIFE TABLES , 1939 .