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10.1016/j.mbs.2021.108654 http://scihub22266oqcxt.onion/10.1016/j.mbs.2021.108654 34216636!8242214!34216636     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Math+Biosci 2021 ; 339 (ä): 108654 Nephropedia Template TP {{tp|p=34216636|t=2021. Optimal allocation of limited vaccine to minimize the effective reproduction number |pdf=|usr=}}{{34216636}} gab.com Text Optimal allocation of limited vaccine to minimize the effective reproduction number JO: Math Biosci http://www.kidney.de/pget.php?&tw=1&pmid=34216636 #FOAvip We examine the problem of allocating a limited supply of vaccine for controlling an infectious disease with the goal of minimizing the effective reproduction number R(e). We consider an SIR model with two interacting populations and develop an analytical expression that the optimal vaccine allocation must satisfy. With limited vaccine supplies, we find that an all-or-nothing approach is optimal. For certain special cases, we determine the conditions under which the optimal R(e) is below 1. We present an example of vaccine allocation for COVID-19 and show that it is optimal to vaccinate younger individuals before older individuals to minimize R(e) if less than 59% of the population can be vaccinated. The analytical conditions we develop provide a simple means of determining the optimal allocation of vaccine between two population groups to minimize R(e). Twit Text FOAVip Optimal allocation of limited vaccine to minimize the effective reproduction number ????Math Biosci http://www.kidney.de/pget.php?&tw=1&pmid=34216636 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34216636 #FOAvip English Wikipedia <ref>{{Cite pmid|34216636}}</ref> Optimal allocation of limited vaccine to minimize the effective reproduction number #MMPMID34216636 Rao IJ; Brandeau ML Math Biosci 2021[Sep]; 339 (ä): 108654 PMID34216636show ga We examine the problem of allocating a limited supply of vaccine for controlling an infectious disease with the goal of minimizing the effective reproduction number R(e). We consider an SIR model with two interacting populations and develop an analytical expression that the optimal vaccine allocation must satisfy. With limited vaccine supplies, we find that an all-or-nothing approach is optimal. For certain special cases, we determine the conditions under which the optimal R(e) is below 1. We present an example of vaccine allocation for COVID-19 and show that it is optimal to vaccinate younger individuals before older individuals to minimize R(e) if less than 59% of the population can be vaccinated. The analytical conditions we develop provide a simple means of determining the optimal allocation of vaccine between two population groups to minimize R(e). |*Models, Biological[MESH] |Age Factors[MESH] |Aged[MESH] |Basic Reproduction Number/*prevention & control[MESH] |COVID-19 Vaccines/*administration & dosage/*supply & distribution[MESH] |COVID-19/epidemiology/*prevention & control/*transmission[MESH] |Health Policy[MESH] |Humans[MESH] |Immunization Programs/*methods[MESH]Optimal allocation of limited vaccine to minimize the effective reprod(epmc).pdf DeepDyve Pubget Overpricing