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10.1007/s10098-020-01876-1 http://scihub22266oqcxt.onion/10.1007/s10098-020-01876-1 C7292799!7292799!32837502     free     free     free Deprecated: Implicit conversion from float 225.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 225.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 225.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 225.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 225.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 225.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Clean+Technol+Environ+Policy 2020 ; 22 (6): 1359-70 Nephropedia Template TP {{tp|p=32837502|t=2020. Process integration for emerging challenges: optimal allocation of antivirals under resource constraints |pdf=|usr=}}{{32837502}} gab.com Text Process integration for emerging challenges: optimal allocation of antivirals under resource constraints JO: Clean Technol Environ Policy http://www.kidney.de/pget.php?&tw=1&pmid=32837502 #FOAvip Abstract: The global scientific community has intensified efforts to develop, test, and commercialize pharmaceutical products to deal with the COVID-19 pandemic. Trials for both antivirals and vaccines are in progress; candidates include existing repurposed drugs that were originally developed for other ailments. Once these are shown to be effective, their production will need to be ramped up rapidly to keep pace with the growing demand as the pandemic progresses. It is highly likely that the drugs will be in short supply in the interim, which leaves policymakers and medical personnel with the difficult task of determining how to allocate them. Under such conditions, mathematical models can provide valuable decision support. In particular, useful models can be derived from process integration techniques that deal with tight resource constraints. In this paper, a linear programming model is developed to determine the optimal allocation of COVID-19 drugs that minimizes patient fatalities, taking into account additional hospital capacity constraints. Two hypothetical case studies are solved to illustrate the computational capability of the model, which can generate an allocation plan with outcomes that are superior to simple ad hoc allocation. Graphic abstract: Twit Text FOAVip Process integration for emerging challenges: optimal allocation of antivirals under resource constraints ????Clean Technol Environ Policy http://www.kidney.de/pget.php?&tw=1&pmid=32837502 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32837502 #FOAvip English Wikipedia <ref>{{Cite pmid|32837502}}</ref> Process integration for emerging challenges: optimal allocation of antivirals under resource constraints #MMPMID32837502 Sy CL; Aviso KB; Cayamanda CD; Chiu ASF; Lucas RIG; Promentilla MAB; Razon LF; Tan RR; Tapia JFD; Torneo AR; Ubando AT; Yu DEC Clean Technol Environ Policy 2020[]; 22 (6): 1359-70 PMID32837502show ga Abstract: The global scientific community has intensified efforts to develop, test, and commercialize pharmaceutical products to deal with the COVID-19 pandemic. Trials for both antivirals and vaccines are in progress; candidates include existing repurposed drugs that were originally developed for other ailments. Once these are shown to be effective, their production will need to be ramped up rapidly to keep pace with the growing demand as the pandemic progresses. It is highly likely that the drugs will be in short supply in the interim, which leaves policymakers and medical personnel with the difficult task of determining how to allocate them. Under such conditions, mathematical models can provide valuable decision support. In particular, useful models can be derived from process integration techniques that deal with tight resource constraints. In this paper, a linear programming model is developed to determine the optimal allocation of COVID-19 drugs that minimizes patient fatalities, taking into account additional hospital capacity constraints. Two hypothetical case studies are solved to illustrate the computational capability of the model, which can generate an allocation plan with outcomes that are superior to simple ad hoc allocation. Graphic abstract: äProcess integration for emerging challenges: optimal allocation of ant(epmc).pdf DeepDyve Pubget Overpricing