{"id":3438,"date":"2021-12-15T23:21:39","date_gmt":"2021-12-15T21:21:39","guid":{"rendered":"https:\/\/modinst.lu.lv\/?p=3438"},"modified":"2021-12-21T10:41:27","modified_gmt":"2021-12-21T08:41:27","slug":"monitoring-and-evaluating-the-risk-of-infection-with-covid-19","status":"publish","type":"post","link":"https:\/\/modinst.lu.lv\/en\/monitoring-and-evaluating-the-risk-of-infection-with-covid-19\/","title":{"rendered":"Monitoring and evaluating the risk of infection with COVID-19"},"content":{"rendered":"\n

Researchers from the Institute of Numerical Modelling<\/a> have published two new research articles on a monitoring system and a numerical model for evaluating the risk of infection with COVID-19. The article titled Numerical Model for Prediction of Indoor COVID-19 Infection Risk Based on Sensor Data<\/a><\/em> by J\u0101nis Virbulis\"\"<\/a>, Maija Sjomk\u0101ne\"\"<\/a> , Maksims Surovovs\"\"<\/a> , Andris Jakovi\u010ds\"\"<\/a> and the article titled A monitoring system for evaluation of COVID-19 infection risk<\/a><\/em> by Jevg\u0113\u0146ijs Teli\u010dko\"\"<\/a> , Dagis Daniels Vidul\u0113js\"\"<\/a> un Andris Jakovi\u010ds\"\"<\/a> have both been published in Journal of Physics: Conference Series<\/a><\/em>. <\/p>\n\n\n\n

Researchers have developed a monitoring system and a numerical model for evaluating the infection risk with COVID-19. The model is based on sensor data such as temperature, humidity etc. and utilizes numerical modelling as well as artificial intelligence algorithms to predict the infection risk in a certain space, it is described in detail in the research articles. The model is much better at predicting the risk than the widely used CO2<\/sub> measurement sensors and guidelines suggesting the number of people per square meter.<\/p>\n\n\n\n

A successful ERDF project proposal titled System for determining and diminishing the risk of infection with COVID-19 indoors<\/em> ensures a two-year-long continuation of the research project that was initiated in 2020<\/a>. The project aims to develop improved neural network algorithms for image processing and noise detection, to enhance the accuracy of the infection risk model, to build a system prototype and to offer feasible solutions for improving the air quality.<\/p>\n","protected":false},"excerpt":{"rendered":"

Researchers from the Institute of Numerical Modelling have published two new research articles on a monitoring system and a numerical model for evaluating the risk of infection with COVID-19. The article titled Numerical Model for Prediction of Indoor COVID-19 Infection Risk Based on Sensor Data by J\u0101nis Virbulis, Maija Sjomk\u0101ne , Maksims Surovovs , Andris […]<\/p>\n","protected":false},"author":5,"featured_media":3435,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[14],"tags":[],"class_list":["post-3438","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"yoast_head":"\nMonitoring and evaluating the risk of infection with COVID-19 - Institute of Numerical Modelling<\/title>\n<meta name=\"description\" content=\"Institute of Numerical Modelling Monitoring and evaluating the risk of infection with COVID-19 News - Institute of Numerical Modelling\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/modinst.lu.lv\/en\/monitoring-and-evaluating-the-risk-of-infection-with-covid-19\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Monitoring and evaluating the risk of infection with COVID-19 - 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