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For: Acuña-Zegarra MA, Díaz-Infante S, Baca-Carrasco D, Olmos-Liceaga D. COVID-19 optimal vaccination policies: A modeling study on efficacy, natural and vaccine-induced immunity responses. Math Biosci 2021;337:108614. [PMID: 33961878 DOI: 10.1016/j.mbs.2021.108614] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Liu K, Lou Y. Optimizing COVID-19 vaccination programs during vaccine shortages: A review of mathematical models. Infectious Disease Modelling 2022. [DOI: 10.1016/j.idm.2022.02.002] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 4.0] [Reference Citation Analysis]
2 González-parra G, Cogollo MR, Arenas AJ. Mathematical Modeling to Study Optimal Allocation of Vaccines against COVID-19 Using an Age-Structured Population. Axioms 2022;11:109. [DOI: 10.3390/axioms11030109] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Li M, Zu J, Zhang Y, Ma L, Shen M, Li Z, Ji F. COVID-19 epidemic in New York City: development of an age group-specific mathematical model to predict the outcome of various vaccination strategies. Virol J 2022;19:43. [PMID: 35292054 DOI: 10.1186/s12985-022-01771-9] [Reference Citation Analysis]
4 Kang CK, Kim M, Hong J, Kim G, Lee S, Chang E, Choe PG, Kim NJ, Kim IS, Seo J, Song D, Lee D, Shin HM, Kim Y, Lee C, Park WB, Kim H, Oh M. Distinct Immune Response at 1 Year Post-COVID-19 According to Disease Severity. Front Immunol 2022;13:830433. [DOI: 10.3389/fimmu.2022.830433] [Cited by in Crossref: 4] [Article Influence: 4.0] [Reference Citation Analysis]
5 Saldaña F, Velasco-Hernández JX. The trade-off between mobility and vaccination for COVID-19 control: a metapopulation modelling approach. R Soc Open Sci 2021;8:202240. [PMID: 34109037 DOI: 10.1098/rsos.202240] [Cited by in Crossref: 5] [Cited by in F6Publishing: 1] [Article Influence: 5.0] [Reference Citation Analysis]
6 Yang B, Yu Z, Cai Y. The impact of vaccination on the spread of COVID-19: Studying by a mathematical model. Physica A 2022;590:126717. [PMID: 34924686 DOI: 10.1016/j.physa.2021.126717] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Batiha IM, Al-nana AA, Albadarneh RB, Ouannas A, Al-khasawneh A, Momani S. . MATH 2022;7:12842-58. [DOI: 10.3934/math.2022711] [Reference Citation Analysis]
8 Dutta A. COVID-19 waves: variant dynamics and control. Sci Rep 2022;12:9332. [PMID: 35661125 DOI: 10.1038/s41598-022-13371-2] [Reference Citation Analysis]
9 Pattni K, Hungerford D, Adams S, Buchan I, Cheyne CP, García-fiñana M, Hall I, Hughes DM, Overton CE, Zhang X, Sharkey KJ. Effectiveness of the BNT162b2 (Pfizer-BioNTech) and the ChAdOx1 nCoV-19 (Oxford-AstraZeneca) vaccines for reducing susceptibility to infection with the Delta variant (B.1.617.2) of SARS-CoV-2. BMC Infect Dis 2022;22. [DOI: 10.1186/s12879-022-07239-z] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
10 Siqueira PG, Duarte HO, Moura MDC. Risk-based cost-benefit analysis of alternative vaccines against COVID-19 in Brazil: Coronavac vs. Astrazeneca vs. Pfizer. Vaccine 2022;40:3851-60. [PMID: 35610105 DOI: 10.1016/j.vaccine.2022.05.038] [Reference Citation Analysis]
11 Shen ZH, Chu YM, Khan MA, Muhammad S, Al-Hartomy OA, Higazy M. Mathematical modeling and optimal control of the COVID-19 dynamics. Results Phys 2021;31:105028. [PMID: 34868832 DOI: 10.1016/j.rinp.2021.105028] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
12 Ahmad W, Abbas M, Rafiq M, Baleanu D. Mathematical analysis for the effect of voluntary vaccination on the propagation of Corona virus pandemic. Results Phys 2021;31:104917. [PMID: 34722138 DOI: 10.1016/j.rinp.2021.104917] [Reference Citation Analysis]
13 Treesatayapun C. Epidemic model dynamics and fuzzy neural-network optimal control with impulsive traveling and migrating: Case study of COVID-19 vaccination. Biomed Signal Process Control 2022;71:103227. [PMID: 34630624 DOI: 10.1016/j.bspc.2021.103227] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
14 Mohseni Afshar Z, Barary M, Hosseinzadeh R, Karim B, Ebrahimpour S, Nazary K, Sio TT, Sullman MJM, Carson-Chahhoud K, Moudi E, Babazadeh A. COVID-19 vaccination challenges: a mini-review. Hum Vaccin Immunother 2022;:1-9. [PMID: 35512088 DOI: 10.1080/21645515.2022.2066425] [Reference Citation Analysis]
15 Djenina N, Ouannas A, Batiha IM, Grassi G, Oussaeif T, Momani S. A Novel Fractional-Order Discrete SIR Model for Predicting COVID-19 Behavior. Mathematics 2022;10:2224. [DOI: 10.3390/math10132224] [Reference Citation Analysis]
16 Alvarez MM, Bravo-González S, Trujillo-de Santiago G. Modeling vaccination strategies in an Excel spreadsheet: Increasing the rate of vaccination is more effective than increasing the vaccination coverage for containing COVID-19. PLoS One 2021;16:e0254430. [PMID: 34280210 DOI: 10.1371/journal.pone.0254430] [Reference Citation Analysis]
17 Caga-anan RL, Raza MN, Labrador GSG, Metillo EB, Castillo PD, Mammeri Y. Effect of Vaccination to COVID-19 Disease Progression and Herd Immunity. Computational and Mathematical Biophysics 2021;9:262-72. [DOI: 10.1515/cmb-2020-0127] [Reference Citation Analysis]