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This virus has invaded the world with its invariants, which are characterized by their rapid spread. COVID-19 has impacted the health of people and the economy of countries. For that, laboratories, researchers, and doctors are in a race against time to find a cure for this pandemic. To combat this virus, cutting-edge technologies such as artificial intelligence, cloud computing, and big data have been put in place. In our work, we use Internet of Things (IoT) technology. The use of IoT in an efficient way can lead to detecting infected people and avoiding being contaminated. In this paper, we are interested in the remote medical monitoring of patients who have tested positive for COVID-19. We propose a meta-modeling technique to model the IoT architecture. Then we implement two IoT solutions that permit the remote medical monitoring of patients infected with COVID-19 and the respect of social distancing by instantiating correct models that conform to the proposed meta-model in order to mitigate the COVID-19 outbreak.<\/jats:p>","DOI":"10.1007\/978-3-031-09593-1_13","type":"book-chapter","created":{"date-parts":[[2022,6,21]],"date-time":"2022-06-21T11:13:50Z","timestamp":1655810030000},"page":"166-180","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Adopting the\u00a0Internet of\u00a0Things Technology to\u00a0Remotely Monitor COVID-19 Patients"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6547-4122","authenticated-orcid":false,"given":"Abdessamad","family":"Saidi","sequence":"first","affiliation":[]},{"given":"Mohamed","family":"Hadj Kacem","sequence":"additional","affiliation":[]},{"given":"Imen","family":"Tounsi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8895-0152","authenticated-orcid":false,"given":"Ahmed","family":"Hadj Kacem","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,6,17]]},"reference":[{"key":"13_CR1","doi-asserted-by":"crossref","unstructured":"Alruwaili, O., Kostanic, I., Al-Sabbagh, A., Almohamedh, H.: IoT based: air quality index and traffic volume correlation. 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