{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T13:45:27Z","timestamp":1761745527583,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":33,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811623769"},{"type":"electronic","value":"9789811623776"}],"license":[{"start":{"date-parts":[[2021,9,24]],"date-time":"2021-09-24T00:00:00Z","timestamp":1632441600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,9,24]],"date-time":"2021-09-24T00:00:00Z","timestamp":1632441600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-981-16-2377-6_81","type":"book-chapter","created":{"date-parts":[[2021,9,24]],"date-time":"2021-09-24T01:44:09Z","timestamp":1632447849000},"page":"883-895","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Identifying the Effects of COVID-19 on Psychological Well-Being Through Unsupervised Clustering for Mixed Data"],"prefix":"10.1007","author":[{"given":"Katharina","family":"Lingelbach","sequence":"first","affiliation":[]},{"given":"Sabrina","family":"Gado","sequence":"additional","affiliation":[]},{"given":"Doris","family":"Janssen","sequence":"additional","affiliation":[]},{"given":"Daniela","family":"Piechnik","sequence":"additional","affiliation":[]},{"given":"Martin","family":"Eichler","sequence":"additional","affiliation":[]},{"given":"Dennis","family":"Knopf","sequence":"additional","affiliation":[]},{"given":"Leopold","family":"Hentschel","sequence":"additional","affiliation":[]},{"given":"Markus","family":"Schuler","sequence":"additional","affiliation":[]},{"given":"Daniel","family":"Sernatinger","sequence":"additional","affiliation":[]},{"given":"Matthias","family":"Peissner","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,9,24]]},"reference":[{"key":"81_CR1","doi-asserted-by":"publisher","first-page":"1009","DOI":"10.1136\/heartjnl-2015-308790","volume":"102","author":"NK Valtorta","year":"2016","unstructured":"Valtorta NK, Kanaan M, Gilbody S, Ronzi S, Hanratty B (2016) Loneliness and social isolation as risk factors for coronary heart disease and stroke: systematic review and meta-analysis of longitudinal observational studies. Heart 102:1009\u20131016","journal-title":"Heart"},{"key":"81_CR2","first-page":"195","volume":"14","author":"S K\u00fchne","year":"2020","unstructured":"K\u00fchne S, Kroh M, Liebig S, Zinn S (2020) The need for household panel surveys in times of crisis: the case of SOEP-CoV. Surv Res Methods 14:195\u2013203","journal-title":"Surv Res Methods"},{"key":"81_CR3","unstructured":"COSMO Germany: German COVID-19 Snapshot MOnitoring (COSMO Germany). PsychArchives Preprints. https:\/\/www.psycharchives.org\/handle\/20.500.12034\/2398 (2020)"},{"key":"81_CR4","doi-asserted-by":"publisher","first-page":"883","DOI":"10.1016\/S2215-0366(20)30308-4","volume":"7","author":"M Pierce","year":"2020","unstructured":"Pierce M, Hope H, Ford T, Hatch S, Hotopf M, John A, Kontopantelis E, Webb R, Wessely S, McManus S, Abel KM (2020) Mental health before and during the covid-19 pandemic: a longitudinal probability sample survey of the UK population. Lancet Psychiatry 7:883\u2013892","journal-title":"Lancet Psychiatry"},{"key":"81_CR5","unstructured":"Panchal N, Kamal R, Orgera K, Cox C, Garfield R, Hamel L, Munana C, Chidambaram P (2020) The implications of COVID-19 for mental health and substance use. Kaiser Familiy Foundation"},{"key":"81_CR6","doi-asserted-by":"crossref","unstructured":"Li S, Wang Y, Xue J, Zhao N, Zhu T (2020) The impact of COVID-19 epidemic declaration on psychological consequences: a study on active weibo users. Int J Environ Res Public Health 17","DOI":"10.3390\/ijerph17062032"},{"key":"81_CR7","doi-asserted-by":"crossref","unstructured":"Jha IP, Awasthi R, Kumar A, Kumar V, Sethi T (2020) Learning the mental health impact of COVID-19 in the United States with explainable artificial intelligence. medRxiv","DOI":"10.1101\/2020.07.19.20157164"},{"key":"81_CR8","doi-asserted-by":"publisher","first-page":"329","DOI":"10.1348\/135910705X25697","volume":"10","author":"J Clatworthy","year":"2005","unstructured":"Clatworthy J, Buick D, Hankins M, Weinman J, Horne R (2005) The use and reporting of cluster analysis in health psychology: a review. Br J Health Psychol 10:329\u2013358","journal-title":"Br J Health Psychol"},{"key":"81_CR9","volume-title":"Cluster analysis for researchers","author":"HC Romesburg","year":"2004","unstructured":"Romesburg HC (2004) Cluster analysis for researchers. Lulu Press, S.l."},{"key":"81_CR10","doi-asserted-by":"crossref","unstructured":"Nagpal A, Jatain A, Gaur D (2013) Review based on data clustering algorithms. In: 2013 IEEE conference on information & communication technologies (ICT 2013). Thuckalay, Tamil Nadu, India, 11\u201313 April 2013. IEEE, Piscataway, NJ, pp 298\u2013303","DOI":"10.1109\/CICT.2013.6558109"},{"key":"81_CR11","doi-asserted-by":"crossref","unstructured":"van de Velden M, Iodice D'Enza A, Markos A (2019) Distance\u2010based clustering of mixed data. WIREs Comput Stat 11, e1456","DOI":"10.1002\/wics.1456"},{"key":"81_CR12","doi-asserted-by":"publisher","first-page":"31883","DOI":"10.1109\/ACCESS.2019.2903568","volume":"7","author":"A Ahmad","year":"2019","unstructured":"Ahmad A, Khan SS (2019) Survey of state-of-the-art mixed data clustering algorithms. IEEE Access 7:31883\u201331902","journal-title":"IEEE Access"},{"key":"81_CR13","doi-asserted-by":"publisher","first-page":"857","DOI":"10.2307\/2528823","volume":"27","author":"JC Gower","year":"1971","unstructured":"Gower JC (1971) A general coefficient of similarity and some of its properties. Biometrics 27:857\u2013871","journal-title":"Biometrics"},{"key":"81_CR14","doi-asserted-by":"crossref","unstructured":"Gran\u00e9 A, Salini S, Verdolini E (2020) Robust multivariate analysis for mixed-type data: novel algorithm and its practical application in socio-economic research. Socio-Econ Plan Sci","DOI":"10.1016\/j.seps.2020.100907"},{"key":"81_CR15","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa F, Varoquaux G, Gramfort A, Michel V, Thirion B, Grisel O, Blondel M, Prettenhofer P, Weiss R, Dubourg V, Vanderplas J, Passos A, Cournapeau D, Brucher M, Perrot M, Duchesnay E (2011) Scikit-learn: machine learning in python. J Mach Learn Res 12:2825\u20132830","journal-title":"J Mach Learn Res"},{"key":"81_CR16","doi-asserted-by":"publisher","first-page":"297","DOI":"10.2307\/1932409","volume":"26","author":"LR Dice","year":"1945","unstructured":"Dice LR (1945) Measures of the amount of ecologic association between species. Ecology 26:297\u2013302","journal-title":"Ecology"},{"key":"81_CR17","doi-asserted-by":"publisher","first-page":"3336","DOI":"10.1016\/j.eswa.2008.01.039","volume":"36","author":"H-S Park","year":"2009","unstructured":"Park H-S, Jun C-H (2009) A simple and fast algorithm for K-medoids clustering. Expert Syst Appl 36:3336\u20133341","journal-title":"Expert Syst Appl"},{"key":"81_CR18","doi-asserted-by":"crossref","unstructured":"Madhulatha TS (2011) Comparison between K-means and K-medoids clustering algorithms. In: Wyld DC, Wozniak M (eds) Advances in computing and information technology. First international conference; proceedings, vol 198. Springer, Berlin, pp 472\u2013481","DOI":"10.1007\/978-3-642-22555-0_48"},{"key":"81_CR19","doi-asserted-by":"publisher","first-page":"177","DOI":"10.3390\/a12090177","volume":"12","author":"W Budiaji","year":"2019","unstructured":"Budiaji W, Leisch F (2019) Simple K-medoids partitioning algorithm for mixed variable data. Algorithms 12:177","journal-title":"Algorithms"},{"key":"81_CR20","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1111\/insr.12274","volume":"87","author":"AH Foss","year":"2019","unstructured":"Foss AH, Markatou M, Ray B (2019) Distance metrics and clustering methods for mixed-type data. Int Stat Rev 87:80\u2013109","journal-title":"Int Stat Rev"},{"key":"81_CR21","first-page":"613","volume":"50","author":"K Kroenke","year":"2009","unstructured":"Kroenke K, Spitzer RL, Williams JBW, L\u00f6we B (2009) An ultra-brief screening scale for anxiety and depression: the PHQ-4. Psychosomatics 50:613\u2013621","journal-title":"Psychosomatics"},{"key":"81_CR22","doi-asserted-by":"publisher","first-page":"317","DOI":"10.7326\/0003-4819-146-5-200703060-00004","volume":"146","author":"K Kroenke","year":"2007","unstructured":"Kroenke K, Spitzer RL, Williams JBW, Monahan PO, L\u00f6we B (2007) Anxiety disorders in primary care: prevalence, impairment, comorbidity, and detection. Ann Intern Med 146:317\u2013325","journal-title":"Ann Intern Med"},{"key":"81_CR23","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1016\/j.jpsychores.2004.09.006","volume":"58","author":"B L\u00f6we","year":"2005","unstructured":"L\u00f6we B, Kroenke K, Gr\u00e4fe K (2005) Detecting and monitoring depression with a two-item questionnaire (PHQ-2). J Psychosom Res 58:163\u2013171","journal-title":"J Psychosom Res"},{"key":"81_CR24","doi-asserted-by":"crossref","unstructured":"Ludwig K, Graf von der Schulenburg J-M, Greiner, W (2018) German value set for the EQ-5D-5L. Pharm Econ 36, 663\u2013674","DOI":"10.1007\/s40273-018-0615-8"},{"key":"81_CR25","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1007\/s10198-018-0955-5","volume":"20","author":"MF Janssen","year":"2019","unstructured":"Janssen MF, Szende A, Cabases J, Ramos-Go\u00f1i JM, Vilagut G, K\u00f6nig HH (2019) Population norms for the EQ-5D-3L: a cross-country analysis of population surveys for 20 countries. Eur J Health Econ: HEPAC 20:205\u2013216","journal-title":"Eur J Health Econ: HEPAC"},{"key":"81_CR26","doi-asserted-by":"publisher","first-page":"343","DOI":"10.3390\/ijerph13030343","volume":"13","author":"MB Huber","year":"2016","unstructured":"Huber MB, Reitmeir P, Vogelmann M, Leidl R (2016) EQ-5D-5L in the general german population: comparison and evaluation of three yearly cross-section surveys. Int J Environ Res Public Health 13:343","journal-title":"Int J Environ Res Public Health"},{"key":"81_CR27","first-page":"226","volume":"2","author":"C Yuan","year":"2019","unstructured":"Yuan C, Yang H (2019) Research on K-value selection method of k-means clustering algorithm. J-Multidiscip Sci J 2:226\u2013235","journal-title":"J-Multidiscip Sci J"},{"key":"81_CR28","doi-asserted-by":"publisher","first-page":"170","DOI":"10.1037\/0003-066X.60.2.170","volume":"60","author":"G Cumming","year":"2005","unstructured":"Cumming G, Finch S (2005) Inference by eye: confidence intervals and how to read pictures of data. Am Psychol 60:170\u2013180","journal-title":"Am Psychol"},{"key":"81_CR29","doi-asserted-by":"publisher","first-page":"638","DOI":"10.21105\/joss.00638","volume":"3","author":"S Raschka","year":"2018","unstructured":"Raschka S (2018) MLxtend: providing machine learning and data science utilities and extensions to python\u2019s scientific computing stack. JOSS 3:638","journal-title":"JOSS"},{"key":"81_CR30","doi-asserted-by":"crossref","unstructured":"Cabases J, Szende A, Janssen B (2014) Self-reported population health: an international perspective based on EQ-5D. Springer","DOI":"10.1007\/978-94-007-7596-1"},{"key":"81_CR31","unstructured":"Guyon I, Elisseeff A (2003) An introduction to variable and feature selection. J Mach Learn Res, 1157\u20131182"},{"key":"81_CR32","first-page":"564","volume-title":"Encyclopedia of machine learning","author":"S Mannor","year":"2010","unstructured":"Mannor S, Jin X, Han J, Zhang X (2010) K-Medoids Clustering. In: Sammut C, Webb GI (eds) Encyclopedia of machine learning. Springer, US, Boston, MA, pp 564\u2013565"},{"key":"81_CR33","doi-asserted-by":"crossref","unstructured":"Janssen D, Lingelbach K, Piechnik D, Gado S, Maurer P, Eichler M, Knopf D, Hentschel L, Schuler M, Sernatinger D, Peissner M (2021) WIBCE\u2014a web application helping people to reflect their infection risk and psychological well-being and act accordingly during the COVID-19 pandemic. In: Proceedings of the 12th international conference on applied human factors and ergonomics and the affiliated conferences, New York, USA","DOI":"10.1007\/978-3-030-80744-3_64"}],"container-title":["Lecture Notes in Networks and Systems","Proceedings of Sixth International Congress on Information and Communication Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-16-2377-6_81","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,2,9]],"date-time":"2022-02-09T18:25:49Z","timestamp":1644431149000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-16-2377-6_81"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,24]]},"ISBN":["9789811623769","9789811623776"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-981-16-2377-6_81","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2021,9,24]]},"assertion":[{"value":"24 September 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}