{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T15:22:54Z","timestamp":1787066574127,"version":"build-2736575974"},"reference-count":41,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T00:00:00Z","timestamp":1772668800000},"content-version":"vor","delay-in-days":4,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52478074"],"award-info":[{"award-number":["52478074"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Geriatrics Gerontology Int"],"published-print":{"date-parts":[[2026,3]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aim<\/jats:title>\n                    <jats:p>Nursing homes, where older residents live in dense clusters, are highly susceptible to epidemics, leading to high infection and mortality rates. This study aims to identify high\u2010risk environments for infection in nursing homes and develop precise intervention strategies based on the behavioral characteristics of the elderly.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Non\u2010intrusive fixed RGB\u2010D cameras with computer vision technology were used to automatically collect real close\u2010contact behavioral data of older residents. A close\u2010contact transmission model was developed using SARS\u2010CoV\u20102 as an example, incorporating real behavioral patterns and the aerosol emission characteristics of older adults during exhalation. Individual viral exposure, infection risks, and intervention effectiveness were calculated.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Close\u2010contact rates in the canteen and painting room both exceeded 60%, while face\u2010to\u2010face contact was most frequent in the billiard room (23.5%). Assuming a prevalence of 1%, the hourly infection risks were 2.0% in the canteen, 1.6% in the painting room, and 0.5% in the billiard room. Universal use of N95 respirators and surgical masks reduced infection risk by 94.1% and 52.1%, respectively. Maintaining interpersonal distance of at least 1.5\u2009m reduced risk by 66.4%. The strategy of opening and closing different types of indoor environments was also analyzed.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Real close\u2010contact behaviors of older residents strongly influence respiratory infection risks in nursing homes. This study helps identify high\u2010risk environments for infection in nursing homes and enables the precise development of intervention based on the behavioral characteristics of older adults.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/ggi.70441","type":"journal-article","created":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T22:10:43Z","timestamp":1773007843000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Respiratory Infectious Disease Transmission in a Nursing Home Based on Real Close\u2010Contact Behaviors"],"prefix":"10.1111","volume":"26","author":[{"given":"Ziyun","family":"Zhao","sequence":"first","affiliation":[{"name":"Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology Beijing University of Technology  Beijing 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