Predictive algorithm for COVID-19 infection risk in indoor environments

After the onset of the global COVID-19 pandemic, the deep connections between environmental factors and the transmission of airborne infectious diseases (including COVID-19) has become an area of relevant scientific and social interest. Indoor environments, where we spend a significant part of our d...

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Bibliographic Details
Published in:	Scientific reports Vol. 15; no. 1; pp. 27789 - 11
Main Authors:	Rucco, Chiara, Piscitelli, Prisco, Longo, Antonella, Ardebili, Ali Aghazadeh, Miani, Alessandro, Greco, Enrico
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 30.07.2025 Nature Publishing Group Nature Portfolio
Subjects:	631/114/1314 631/114/2164 692/308/174 Air pollution Air Pollution, Indoor - analysis Air quality Air quality measurements Air quality monitoring Algorithm Algorithms Carbon dioxide COVID-19 COVID-19 - epidemiology COVID-19 - transmission Disease spread Disease transmission Environmental factors Environmental monitoring Environmental Monitoring - methods Environmental pollution Global pandemic (COVID-19) Health risks Humanities and Social Sciences Humans Humidity Indoor air quality Indoor environments Infectious diseases Internet of Things multidisciplinary Outdoor air quality Pandemics Particulate matter Particulate Matter - analysis Prediction Algorithms Prediction models Predictive Risk Assessment SARS-CoV-2 - isolation & purification Science Science (multidisciplinary) Sensors Temperature Italy Global pandemic (COVID-19) Environmental pollution Particulate matter Predictive Air pollution Air quality monitoring Algorithm
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
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