{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,5]],"date-time":"2025-08-05T12:23:37Z","timestamp":1754396617174,"version":"3.41.2"},"reference-count":21,"publisher":"Emerald","issue":"2","license":[{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["GS"],"published-print":{"date-parts":[[2019,4,1]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>The purpose of this paper is to predict hospital respiratory system infection rate by using the gray GM(1,1) model, and to provide theoretical basis for the prospective study on hospital respiratory system infection management.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>The annual respiratory system infection rate of a comprehensive third-class hospital in Yan\u2019an is collected from 2011 to 2017. The GM(1,1) model is used for prediction, and mean absolute percentage error is used to evaluate the prediction accuracy of the model.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>GM(1,1) statistical prediction model is established with good fitting degree and high reliability of extrapolation prediction.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>The GM(1,1) model can well predict the respiratory system infection rate of the hospital.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/gs-11-2018-0054","type":"journal-article","created":{"date-parts":[[2019,3,29]],"date-time":"2019-03-29T11:58:11Z","timestamp":1553860691000},"page":"251-258","source":"Crossref","is-referenced-by-count":6,"title":["Grey system analysis in the field of medicine and health"],"prefix":"10.1108","volume":"9","author":[{"given":"Zhang","family":"Lixia","sequence":"first","affiliation":[]},{"given":"Tang","family":"Hong","sequence":"additional","affiliation":[]},{"given":"He","family":"Miao","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"issue":"6","key":"key2020092406040532300_ref001","first-page":"621","article-title":"Application of GM(1,1) grey model in predicting hospitalization","volume":"27","year":"2010","journal-title":"China Health Statistics"},{"issue":"7","key":"key2020092406040532300_ref002","doi-asserted-by":"crossref","first-page":"651","DOI":"10.1056\/NEJMhpr020557","article-title":"Infection control \u2013 a problem for patient safety","volume":"348","year":"2003","journal-title":"The New England Journal of Medicine"},{"issue":"11","key":"key2020092406040532300_ref003","first-page":"1152","article-title":"Comparison of the effect of ARIMA model and exponential smoothing method in predicting outpatient volume","volume":"30","year":"2008","journal-title":"Preventive Medicine"},{"issue":"3","key":"key2020092406040532300_ref004","first-page":"1","article-title":"Statistical combination prediction method based on grey model and exponential smoothing","volume":"33","year":"2012","journal-title":"Journal of Kashgar Normal University"},{"issue":"3","key":"key2020092406040532300_ref005","first-page":"221","article-title":"Application of gray GM(1,1) model in prediction of hospital infection incidence","volume":"35","year":"2013","journal-title":"Ning Xia Medical Journal"},{"issue":"21","key":"key2020092406040532300_ref006","first-page":"257","article-title":"Analysis of environmental health monitoring results in a general hospital","volume":"8","year":"2014","journal-title":"Application of Modern Chinese Medicine"},{"issue":"1","key":"key2020092406040532300_ref007","first-page":"97","article-title":"The application of statistical prediction model in hospital infection","volume":"38","year":"2007","journal-title":"Sichuan Medicine"},{"issue":"6","key":"key2020092406040532300_ref008","first-page":"349","article-title":"Application of grey theory in prediction of hepatitis b incidence","volume":"21","year":"2004","journal-title":"China Health Statistics"},{"volume-title":"Application of Statistical Prediction Model in Risk Assessment of Nosocomial Infection","year":"2012","key":"key2020092406040532300_ref009"},{"key":"key2020092406040532300_ref010","first-page":"561","volume-title":"Prevention and Control of Hospital Infection","year":"2005","edition":"4th ed."},{"volume-title":"Prediction Methods and Techniques","year":"2005","key":"key2020092406040532300_ref011"},{"issue":"2","key":"key2020092406040532300_ref012","first-page":"1","article-title":"Advances in grey systems research","volume":"25","year":"2013","journal-title":"The Journal of Grey System"},{"issue":"1","key":"key2020092406040532300_ref013","first-page":"1","article-title":"On the new model system and framework of grey system theory","volume":"28","year":"2016","journal-title":"The Journal of Grey System"},{"volume-title":"Grey System Theory and its Application","year":"2014","key":"key2020092406040532300_ref014"},{"issue":"20","key":"key2020092406040532300_ref015","first-page":"375","article-title":"Analysis on the influence of hospital routine environmental health monitoring on nosocomial infection rate","volume":"10","year":"2012","journal-title":"Chinese Medical Guide"},{"issue":"3","key":"key2020092406040532300_ref016","first-page":"648","article-title":"Environmental health monitoring and its influence on nosocomial infection rate in a hospital from 1996 to 2007","volume":"44","year":"2009","journal-title":"Journal of Zhengzhou University (Medical Edition)"},{"issue":"11","key":"key2020092406040532300_ref017","first-page":"44","article-title":"Application of grey model in outpatient and emergency prediction of hospital","volume":"16","year":"2015","journal-title":"Chinese Medical Records"},{"issue":"6","key":"key2020092406040532300_ref018","first-page":"846","article-title":"Fatigue life prediction method based on GM(1,1) model of gray system","volume":"40","year":"2008","journal-title":"Journal of Nanjing University of Aeronautics and Astronautics"},{"issue":"12","key":"key2020092406040532300_ref019","first-page":"1100","article-title":"Application of ARIMA model and grey prediction model GM(1,1) in the prediction of HIV infection number","volume":"16","year":"2012","journal-title":"Chinese Journal of Disease Control"},{"issue":"9","key":"key2020092406040532300_ref020","first-page":"528","article-title":"Grey model and exponential smoothing method for predicting the incidence of hemorrhagic fever with renal syndrome in Shanghai","volume":"27","year":"2010","journal-title":"Environmental and Occupational Medicine"},{"issue":"6","key":"key2020092406040532300_ref021","first-page":"288","article-title":"Analysis of monitoring results of hospital environmental hygiene and its impact on nosocomial infection control","volume":"11","year":"2017","journal-title":"Public Health"}],"container-title":["Grey Systems: Theory and Application"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/GS-11-2018-0054\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/GS-11-2018-0054\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,25]],"date-time":"2025-07-25T00:46:24Z","timestamp":1753404384000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.emerald.com\/gs\/article\/9\/2\/251-258\/91409"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4,1]]},"references-count":21,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2019,4,1]]}},"alternative-id":["10.1108\/GS-11-2018-0054"],"URL":"https:\/\/doi.org\/10.1108\/gs-11-2018-0054","relation":{},"ISSN":["2043-9377"],"issn-type":[{"type":"print","value":"2043-9377"}],"subject":[],"published":{"date-parts":[[2019,4,1]]}}}