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10.3390/vaccines9020078

http://scihub22266oqcxt.onion/10.3390/vaccines9020078
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33499326!7911627!33499326
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suck abstract from ncbi


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pmid33499326      Vaccines+(Basel) 2021 ; 9 (2): ä
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  • Optimising Vaccine Dose in Inoculation against SARS-CoV-2, a Multi-Factor Optimisation Modelling Study to Maximise Vaccine Safety and Efficacy #MMPMID33499326
  • Benest J; Rhodes S; Quaife M; Evans TG; White RG
  • Vaccines (Basel) 2021[Jan]; 9 (2): ä PMID33499326show ga
  • Developing a vaccine against the global pandemic SARS-CoV-2 is a critical area of active research. Modelling can be used to identify optimal vaccine dosing; maximising vaccine efficacy and safety and minimising cost. We calibrated statistical models to published dose-dependent seroconversion and adverse event data of a recombinant adenovirus type-5 (Ad5) SARS-CoV-2 vaccine given at doses 5.0 x 10(10), 1.0 x 10(11) and 1.5 x 10(11) viral particles. We estimated the optimal dose for three objectives, finding: (A) the minimum dose that may induce herd immunity, (B) the dose that maximises immunogenicity and safety and (C) the dose that maximises immunogenicity and safety whilst minimising cost. Results suggest optimal dose [95% confidence interval] in viral particles per person was (A) 1.3 x 10(11) [0.8-7.9 x 10(11)], (B) 1.5 x 10(11) [0.3-5.0 x 10(11)] and (C) 1.1 x 10(11) [0.2-1.5 x 10(11)]. Optimal dose exceeded 5.0 x 10(10) viral particles only if the cost of delivery exceeded pound0.65 or cost per 10(11) viral particles was less than pound6.23. Optimal dose may differ depending on the objectives of developers and policy-makers, but further research is required to improve the accuracy of optimal-dose estimates.
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