An algorithm for indoor SARS-CoV-2 transmission
We propose a computer modeling approach for SARS-CoV-2 transmission that can be preferable to a purely mathematical framework. It is illustrated its functionality in a specific case of indoor transmission. Based on literature, we assume that infection is due to aerosols with viral particles that per...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Ion Motofei, Carol Davila University
2022-10-01
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| Series: | Journal of Mind and Medical Sciences |
| Subjects: | |
| Online Access: | https://scholar.valpo.edu/cgi/viewcontent.cgi?article=1313&context=jmms |
| _version_ | 1797985788594487296 |
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| author | Daniel Maxin Spencer Gannon |
| author_facet | Daniel Maxin Spencer Gannon |
| author_sort | Daniel Maxin |
| collection | DOAJ |
| description | We propose a computer modeling approach for SARS-CoV-2 transmission that can be preferable to a purely mathematical framework. It is illustrated its functionality in a specific case of indoor transmission. Based on literature, we assume that infection is due to aerosols with viral particles that persist and accumulate for hours in the air even after the persons who produced them left the space. We incorporate also restricted opening hours as a mitigation measure and one possible behavioral change in response to this measure. It is shown via several examples how this algorithmic modeling approach can be used to run various scenarios in order to predict the efficacy of the intervention. |
| first_indexed | 2024-04-11T07:22:32Z |
| format | Article |
| id | doaj.art-d2697423933a4472ac6f65aaf910c5a3 |
| institution | Directory Open Access Journal |
| issn | 2392-7674 |
| language | English |
| last_indexed | 2024-04-11T07:22:32Z |
| publishDate | 2022-10-01 |
| publisher | Ion Motofei, Carol Davila University |
| record_format | Article |
| series | Journal of Mind and Medical Sciences |
| spelling | doaj.art-d2697423933a4472ac6f65aaf910c5a32022-12-22T04:37:09ZengIon Motofei, Carol Davila UniversityJournal of Mind and Medical Sciences2392-76742022-10-019224224810.22543/2392-7674.1313An algorithm for indoor SARS-CoV-2 transmissionDaniel Maxin0Spencer Gannon1DEPARTMENT OF MATHEMATICS AND STATISTICS, VALPARAISO UNIVERSITY 1900 CHAPEL DRIVE, VALPARAISO, IN 46383DEPARTMENT OF MATHEMATICS AND STATISTICS, VALPARAISO UNIVERSITY 1900 CHAPEL DRIVE, VALPARAISO, IN 46383We propose a computer modeling approach for SARS-CoV-2 transmission that can be preferable to a purely mathematical framework. It is illustrated its functionality in a specific case of indoor transmission. Based on literature, we assume that infection is due to aerosols with viral particles that persist and accumulate for hours in the air even after the persons who produced them left the space. We incorporate also restricted opening hours as a mitigation measure and one possible behavioral change in response to this measure. It is shown via several examples how this algorithmic modeling approach can be used to run various scenarios in order to predict the efficacy of the intervention.https://scholar.valpo.edu/cgi/viewcontent.cgi?article=1313&context=jmmssars-cov-2computer modelingtransmissioninfection |
| spellingShingle | Daniel Maxin Spencer Gannon An algorithm for indoor SARS-CoV-2 transmission Journal of Mind and Medical Sciences sars-cov-2 computer modeling transmission infection |
| title | An algorithm for indoor SARS-CoV-2 transmission |
| title_full | An algorithm for indoor SARS-CoV-2 transmission |
| title_fullStr | An algorithm for indoor SARS-CoV-2 transmission |
| title_full_unstemmed | An algorithm for indoor SARS-CoV-2 transmission |
| title_short | An algorithm for indoor SARS-CoV-2 transmission |
| title_sort | algorithm for indoor sars cov 2 transmission |
| topic | sars-cov-2 computer modeling transmission infection |
| url | https://scholar.valpo.edu/cgi/viewcontent.cgi?article=1313&context=jmms |
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