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      Upgrade social distancing into "Airflow Inaccessible Distancing" code validated by E. coli DH5a spray viable colony counting simulation and the technical validation of COVID-19 Airborne Infection UV Quarantine Devices

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          Abstract

          While global attentions focus on COVID-19 immunological solutions, we believe a future possible vaccine will unexceptionally compromise to immunosenescence which will leave those older than 55 years of age inactive to any immobilization. We then validate the UV quarantine system that shielding the UV hurt instead of segregating the contagious agents in an environment validated by 10 6 cell/ml E.coli DH5a spray viable colony simulation. Various experimental designs reveal that the social distancing rule should be upgraded to the "Airflow Inaccessible Distancing"code due to the undetectable small-sized infectious aerosols, saturation secondary infection from various filtering devices & quarantine spaces, and the mixing efficiency of conventional chemical sanitizers. The new code and its integrated COVID-19 Airborne Infection UV quarantine Devices are globally the highest-efficiency systems for stopping COVID-19 from spreading under general social conditions. Portable UVC 253.7nm meters can release the safety concerns for public self-made or commercially available devices. Meanwhile, an acrylic system and relevant methods are developed to validate the performance of UV quarantine devices and conventional masks under real applications. Also, a 33 % placebo infection rate is suggested as the minimum requirement for Phase 3 clinical trials of all medical devices, vaccines, or drugs intended for COVID-19 due to the existence of human respiratory rhyme.

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          Author and article information

          Journal
          ScienceOpen Preprints
          ScienceOpen
          8 January 2021
          Affiliations
          [1 ] Innoen Gravitational Institute
          [2 ] Wuhan Torch Optoelectronic Technology Co., Ltd
          [3 ] McMaster University
          [4 ] Hubei Jucro Electric Co., Ltd.
          [5 ] Tsinghua University
          Article
          10.14293/S2199-1006.1.SOR-.PPADFAZ.v1

          This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

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          The datasets generated during and/or analysed during the current study are available in the repository: https://datadryad.org/stash

          Medicine

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