000 | 01955cam a2200217 4500500 | ||
---|---|---|---|
005 | 20250112033040.0 | ||
041 | _afre | ||
042 | _adc | ||
100 | 1 | 0 |
_aMicolier, Alice _eauthor |
700 | 1 | 0 |
_a Berger, Corentin _eauthor |
700 | 1 | 0 |
_a Rigault, Benjamin _eauthor |
700 | 1 | 0 |
_a Lepelletier, Didier _eauthor |
700 | 1 | 0 |
_a Roubaty, Jean-Louis _eauthor |
700 | 1 | 0 |
_a Mendez, Maxence _eauthor |
245 | 0 | 0 | _aIdentification of effective ventilation strategies to reduce the risk of COVID-19 infection inside buildings, using the INDALO® digital multizone model |
260 | _c2022. | ||
500 | _a100 | ||
520 | _aIn the event of epidemics, ensuring adequate air exchange and airflow direction is essential to reduce the air-borne transmission of infectious agents in buildings. In this study, we strove to identify effective ventilation strategies to reduce the risk of infection by COVID-19 inside buildings. To do so, we developed a multi-route transmission model of SARS-CoV-2 (INDALO®-COVID) which was used to evaluate the risk of infection. This study enabled us to quantify the impact of two preventive measures (installation of a mobile air purifier and increased air renewal via the air purification unit) on the risk of COVID-19 infection in a nursing home. Within the context of this study, the use of an air purifier in the rooms of residents with COVID-19 appears to be the most effective measure to reduce the viral load potentially transported to other areas of the building, and thus to reduce the risk of COVID-19 infection among all residents. The digital model developed is a versatile and ready-to-use solution, which can be used to compare preventive measures and design/renovation choices for different types of buildings and uses. | ||
786 | 0 | _nEnvironnement, Risques & Santé | 21 | 6 | 2022-11-30 | p. 419-431 | 1635-0421 | |
856 | 4 | 1 | _uhttps://shs.cairn.info/journal-environnement-risques-sante-2022-6-page-419?lang=en |
999 |
_c162348 _d162348 |