{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T18:34:24Z","timestamp":1782153264518,"version":"3.54.5"},"reference-count":36,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2014,8,21]],"date-time":"2014-08-21T00:00:00Z","timestamp":1408579200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJERPH"],"abstract":"<jats:p>Good quality water supplies and safe sanitation in urban areas are a big challenge for governments throughout the world. Providing adequate water quality  is a basic requirement for our lives. The colony forming units of the bacterium  Legionella pneumophila in potable water represent a big problem which cannot be overlooked for health protection reasons. We analysed several methods to program  a virtual hot water tank with AI (artificial intelligence) tools including neuro-fuzzy systems as a precaution against legionelosis. The main goal of this paper is to present research which simulates the temperature profile in the water tank. This research presents a tool for a water management system to simulate conditions which are able to prevent legionelosis outbreaks in a water system. The challenge is to create a virtual water tank simulator including the water environment which can simulate a situation which is common in building water distribution systems. The key feature of the presented system is its adaptation to any hot water tank. While respecting the basic parameters of hot water,  a water supplier and building maintainer are required to ensure the predefined quality and water temperature at each sampling site and avoid the growth of Legionella. The presented system is one small contribution how to overcome a situation when legionelosis could find good conditions to spread and jeopardize human lives.<\/jats:p>","DOI":"10.3390\/ijerph110808597","type":"journal-article","created":{"date-parts":[[2014,8,21]],"date-time":"2014-08-21T11:00:23Z","timestamp":1408618823000},"page":"8597-8611","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Artificial Intelligence in Public Health Prevention of Legionelosis in Drinking Water Systems"],"prefix":"10.3390","volume":"11","author":[{"given":"Peter","family":"Sin\u010dak","sequence":"first","affiliation":[{"name":"Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics, Technical University of Kosice, Letn\u00e1 St. 9, Ko\u0161ice 04001, Slovakia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jaroslav","family":"Ondo","sequence":"additional","affiliation":[{"name":"Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics, Technical University of Kosice, Letn\u00e1 St. 9, Ko\u0161ice 04001, Slovakia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniela","family":"Kaposztasova","sequence":"additional","affiliation":[{"name":"Department of Building Services, Civil Engineering Faculty, Technical University of Kosice, Vysokoskolska St.4, Kosice 04001, Slovakia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maria","family":"Vir\u010dikova","sequence":"additional","affiliation":[{"name":"Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics, Technical University of Kosice, Letn\u00e1 St. 9, Ko\u0161ice 04001, Slovakia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zuzana","family":"Vranayova","sequence":"additional","affiliation":[{"name":"Department of Building Services, Civil Engineering Faculty, Technical University of Kosice, Vysokoskolska St.4, Kosice 04001, Slovakia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jakub","family":"Sabol","sequence":"additional","affiliation":[{"name":"Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics, Technical University of Kosice, Letn\u00e1 St. 9, Ko\u0161ice 04001, Slovakia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2014,8,21]]},"reference":[{"key":"ref_1","unstructured":"TECHNEAU. Available online: http:\/\/www.techneau.eu."},{"key":"ref_2","unstructured":"Legionella and Prevention of Legionellosis. Available online: http:\/\/www.who.int\/water_sanitation_health\/emerging\/legionella.pdf."},{"key":"ref_3","unstructured":"Hodkiewicz, M.R. (2008, January 27\u201329). Using the Decision Model Development Process to Assist in Knowledge Management. Proceedings of the ICOMS Asset Management Conference, Perth, Australia."},{"key":"ref_4","unstructured":"\u0160palekov\u00e1, M., and Kotrbancov\u00e1, M. (2014, January 18). The Issue of Comprehensive Diagnosis of Legionellosis\/ Problematika Komplexnej Diagnostiky Legionel\u00f3z. Proceedings of the XI International conference NRC, Bratislava, Slovakia."},{"key":"ref_5","unstructured":"Epidemiology of Legionellosis in Europe and in the Slovak Republic. Available online: http:\/\/www.bmj.sk\/2006\/10705\u201308.pdf."},{"key":"ref_6","unstructured":"Information and Consulting Services to Protect Health and Life by Reducing the Risk of Waterborne Pathogens, HCINFO. Available online: http:\/\/www.hcinfo.com\/outbreaks-news.htm."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Feyen, J., Shannon, K., and Neville, M. (2008). Water and Urban Development Paradigms in Towards an Integration of Engineering, Design and Management Approaches, CRC Press.","DOI":"10.1201\/9780203884102"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1056\/NEJM199407213310304","article-title":"A massive outbreak in Milwaukee of Cryptosporidium infection transmitted through the public water supply","volume":"331","author":"Kenzie","year":"1994","journal-title":"N. Engl. J. Med."},{"key":"ref_9","unstructured":"Technical Guidance on Water-Related Disease Surveillance. Available online: http:\/\/www.euro.who.int\/__data\/assets\/pdf_file\/0009\/149184\/e95620.pdf."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Preliminary Report: Outbreak of Legionnaires\u2019 Disease in the Cities of Ulm and Neu-Ulm in Germany, December 2009\u2013January 2010. Available online: http:\/\/www.eurosurveillance.org\/images\/dynamic\/EE\/V15N04\/V15N04.pdf.","DOI":"10.2807\/ese.15.04.19472-en"},{"key":"ref_11","unstructured":"World Health Organization (2010). WHO Guidelines for Drinking-water Quality, WHO."},{"key":"ref_12","first-page":"670","article-title":"Negative impact of bacteria Legionella pneumophila in hot water distribution systems on human health","volume":"6","author":"Vranayova","year":"2012","journal-title":"World Acad. Sci. Eng. Technol."},{"key":"ref_13","unstructured":"Ocipova, D. (2010). Theoretical and Experimental Analysis of Hot Water Distribution Systems. [Ph.D Thesis, Technical University of Kosice]."},{"key":"ref_14","unstructured":"Pilipova, I., and Senitkova, I. (2011, January 7\u20139). Perceived Comfort in Smart Buildings (CD-ROM). Proceedings of the 13th International Scientific Conference on 2011 Current Issues of Civil and Environmental Engineering in Ko\u0161ice, Lviv and Rzesz\u00f3w, Her\u013eany."},{"key":"ref_15","unstructured":"Technical University of Denmark, Informatics an Mathematical Modelling: Taxonomy of Smart Houses Lyngby: DTU Informatics. Available online: http:\/\/www2.imm.dtu.dk\/~cdj\/SmartHouseWebSite\/taxonomy.html."},{"key":"ref_16","unstructured":"Sin\u010d\u00e1k, P., and Andrejkov\u00e1, G. Edition Elfa-Press."},{"key":"ref_17","unstructured":"Internet Source. Available online: http:\/\/www.ibm.com\/smarterplanet\/us\/en\/."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"6637","DOI":"10.1016\/j.eswa.2010.11.074","article-title":"A probabilistic expert system for predicting the risk of Legionella in evaporative installations","volume":"38","author":"Armero","year":"2011","journal-title":"Expert Syst. Appl."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"255","DOI":"10.2166\/aqua.2010.059","article-title":"Modelling the potential for water quality failures in distribution networks: Framework (I)","volume":"59","author":"Sadiq","year":"2010","journal-title":"J. Water Supply Res. Technol. AQUA"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"697","DOI":"10.1109\/TII.2013.2275032","article-title":"Profile-Based control for central domestic hot water distribution","volume":"10","author":"Iglesias","year":"2014","journal-title":"IEEE Trans. Ind. Inf."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.jhydrol.2003.12.010","article-title":"A neuro-fuzzy computing technique for modeling hydrological time series","volume":"291","author":"Nayak","year":"2004","journal-title":"J. Hydrol."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/j.jhydrol.2012.03.031","article-title":"Hydrological time series modeling: A comparison between adaptive neuro-fuzzy, neural network and autoregressive techniques","volume":"442","author":"Lohani","year":"2012","journal-title":"J. Hydrol."},{"key":"ref_23","unstructured":"Thermal Disinfection and Energy Consumption of Centralized Hot Water. Available online: http:\/\/www.scopus.com\/record\/display.url."},{"key":"ref_24","unstructured":"The Drinking Water Directive (DWD), Council Directive 98\/83\/EC. Available online: http:\/\/ec.europa.eu\/environment\/water\/water-drink\/index_en.html."},{"key":"ref_25","unstructured":"Bartram, J., Corrales, L., Davison, A., Deere, D., Drury, D., Gordon, B., Howard, G., Rinehold, A., and Stevens, M. (2009). Water Safety Plan Manual: Step-by-step Risk Management for Drinking-Water Suppliers, World Health Organization."},{"key":"ref_26","unstructured":"Lee, M.C., Lai, C.Y., and Lam, W.H. (2004, January 16\u201317). Hot Water Plumbing System and Temperature Drop Mechanism in Residential Building in Taiwan, CIB-W62. Proceedings of the 30th International Symposium, Paris, France."},{"key":"ref_27","unstructured":"Kazner, C. (2009). TECHNEAU: Safe Drinking Water from Source to Tap\u2014State-of-art & Perspectives, IWA Publishing."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"van den Hoven, T., and Kazner, C. (2009). TECHNEAU: Safe Drinking Water from Source to Tap\u2014State-of-art & Perspectives, IWA Publishing.","DOI":"10.2166\/9781780401782"},{"key":"ref_29","unstructured":"Hybridn\u00e1 Inteligencia. Available online: http:\/\/www.root.cz\/clanky\/hybridna-inteligencia\/."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"752","DOI":"10.1109\/72.159063","article-title":"Neural networks designed on approximate reasoning architecture and their applications","volume":"3","author":"Takagi","year":"1992","journal-title":"IEEE Trans. Neural Netw."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"784","DOI":"10.2166\/hydro.2011.027","article-title":"Calibration of Xinanjiang model parameters using hybrid genetic algorithm based fuzzy optimal model","volume":"14","author":"Wang","year":"2012","journal-title":"J. Hydroinformatics"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1152","DOI":"10.1007\/11539902_145","article-title":"Long-Term prediction of discharges in Manwan Hydropower using adaptive-network-based fuzzy inference systems models","volume":"3612","author":"Cheng","year":"2005","journal-title":"Lect. Notes Comput. Sci."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"1670","DOI":"10.1016\/j.engappai.2012.02.009","article-title":"Artificial Neural Network simulation of hourly groundwater levels in a coastal aquifer system of the Venice lagoon","volume":"25","author":"Taormina","year":"2012","journal-title":"Eng. Appl. Artif. Intell."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Wu, C.L., Chau, K.W., and Li, Y.S. (2009). Predicting monthly streamflow using data-driven models coupled with data-preprocessing techniques. Water Resour. Res., 45.","DOI":"10.1029\/2007WR006737"},{"key":"ref_35","first-page":"840","article-title":"Multilayer ensemble pruning via novel multi-sub-swarm particle swarm optimization","volume":"15","author":"Zhang","year":"2009","journal-title":"J. Univ. Comput. Sci."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"642","DOI":"10.1016\/j.autcon.2006.11.008","article-title":"Application of a PSO-based neural network in analysis of outcomes of construction claims","volume":"16","author":"Chau","year":"2007","journal-title":"Autom. 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