Shiva Ghafari Jabari, Seyed Abass Yazdanfar, Mohamad Ali Khan Mohammadi, Homayoun Sadeghi Bazargani, Mostafa Farah Bakhsh,
Volume 33, Issue 1 (3-2023)
Abstract
The damages of COVID-19 to people's lives have highlighted the need for the usage of technologies to improve health. For this purpose, the identification of available technologies could facilitate the fight against COVID-19. This manuscript aims to explore the effective technologies existing in the literature on Interactive Architecture because these technologies are embedded in the daily life of individuals to respond to the real-time needs of people. Therefore, we conducted a scoping review in the Web of Science and Scopus databases, with no time and paper type limitations. Selected papers were categorized based on their content. Also, the guidelines for combating COVID-19 (based on the WHO and the national government tips) were reviewed and categorized. Afterward, the papers that shared the same themes by guidelines were selected to extract the technologies introduced in them. Finally, usage has been proposed for each of the technologies. Also, we examined the effectiveness of the technologies in the proposed sectors by asking about the experts' viewpoints. As result, we found that interactive ventilation, flexible walls, and eHealth technologies could be effective for the promotion of physical health during COVID-19. In that vein, interactive installations (such as interactive furniture) could improve mental health during quarantine by extending the space and providing the opportunity to connect with the outside world. Also, the virtual education environment was the most effective technology for education challenges during the COVID-19 pandemic.
Jamal-E-Din Mahdinejad, Hamidreza Azemati, Seyede Fereshteh Ehsani Oskouei, Zinat Aminifar,
Volume 33, Issue 2 (4-2023)
Abstract
During the COVID-19 outbreak in Iran, self-quarantine was a measure to slow the spread of this infection. We conducted this cross-sectional study to explore the psychological effects of the home environment while people had to stay at home for a long time. For the survey, 536 individuals took part. Collecting data was via an online questionnaire including three sections: (1) Demographic characteristics and general information; (2) Home environment features and (3) Negative psychological experiences (NPE) considered as (a) feeling of sadness and depression; (b) feeling of stress and anxiety; and, (c) experiencing domestic violence during quarantine. For data analysis, first, some descriptive information about the participants was presented; then, we used a logistic regression model, one of the classification algorithms in machine learning methods to investigate the association of home environment features and NPE during self-quarantine. The results indicate the home environment affects NPE differently among men and women. Generally, the individuals who were more satisfied with their house performance during quarantine, and people considered the light quality of their house as appropriate; besides, residents with less noise disturbance issues had a better mood during this period. Conversely, failure in the possibility of indoor exercising and the feeling of being in a crowded house increased the level of NPE.
