{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T01:28:11Z","timestamp":1760059691281,"version":"build-2065373602"},"reference-count":38,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2025,7,4]],"date-time":"2025-07-04T00:00:00Z","timestamp":1751587200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100007684","name":"Ministry of Education and Science of Ukraine","doi-asserted-by":"publisher","award":["0125U001544"],"award-info":[{"award-number":["0125U001544"]}],"id":[{"id":"10.13039\/501100007684","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computation"],"abstract":"<jats:p>The management of public health projects in a BANI (brittle, anxious, non-linear, incomprehensible) environment, exemplified by the ongoing war in Ukraine, presents unprecedented challenges due to fragile systems, heightened uncertainty, and complex socio-political dynamics. This study proposes an AI-driven framework to enhance the resilience and effectiveness of public health interventions under such conditions. By integrating a coupled SEIR\u2013Infodemic\u2013Panicdemic Model with war-specific factors, we simulate the interplay of infectious disease spread, misinformation dissemination, and panic dynamics over 1500 days in a Ukrainian city (Kharkiv). The model incorporates time-varying parameters to account for population displacement, healthcare disruptions, and periodic war events, reflecting the evolving conflict context. Sensitivity and risk\u2013opportunity analyses reveal that disease transmission, misinformation, and infrastructure damage significantly exacerbate epidemic peaks, while AI-enabled interventions, such as fact-checking, mental health support, and infrastructure recovery, offer substantial mitigation potential. Qualitative assessments identify technical, organisational, ethical, regulatory, and military risks, alongside opportunities for predictive analytics, automation, and equitable healthcare access. Quantitative simulations demonstrate that risks, like increased displacement, can amplify infectious peaks by up to 28.3%, whereas opportunities, like enhanced fact-checking, can reduce misinformation by 18.2%. These findings provide a roadmap for leveraging AI to navigate BANI environments, offering actionable insights for public health practitioners in Ukraine and other crisis settings. The study underscores AI\u2019s transformative role in fostering adaptive, data-driven strategies to achieve sustainable health outcomes amidst volatility and uncertainty.<\/jats:p>","DOI":"10.3390\/computation13070160","type":"journal-article","created":{"date-parts":[[2025,7,4]],"date-time":"2025-07-04T11:20:11Z","timestamp":1751628011000},"page":"160","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Successful Management of Public Health Projects Driven by AI in a BANI Environment"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7815-8129","authenticated-orcid":false,"given":"Sergiy","family":"Bushuyev","sequence":"first","affiliation":[{"name":"Department of Project Management, Kyiv National University of Construction and Architecture, 03680 Kyiv, Ukraine"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Natalia","family":"Bushuyeva","sequence":"additional","affiliation":[{"name":"Department of Project Management, Kyiv National University of Construction and Architecture, 03680 Kyiv, Ukraine"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ivan","family":"Nekrasov","sequence":"additional","affiliation":[{"name":"Central Research Institute of Armaments and Military Equipment of the Armed Forces of Ukraine, 03049 Kyiv, Ukraine"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2312-2011","authenticated-orcid":false,"given":"Igor","family":"Chumachenko","sequence":"additional","affiliation":[{"name":"Project Management in Urban Management and Construction Department, O.M. Beketov National University of Urban Economy in Kharkiv, 61101 Kharkiv, Ukraine"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,7,4]]},"reference":[{"key":"ref_1","first-page":"26","article-title":"Methodological Support for Managing of Critical Competences in Agile Transformation Projects within a Multi-Project Medical Environment","volume":"8","author":"Dotsenko","year":"2024","journal-title":"Adv. Inf. Syst."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Bushuyev, S., Chumachenko, I., Galkin, A., Bushuiev, D., and Dotsenko, N. (2025). Sustainable Development Projects Implementing in BANI Environment Based on AI Tools. Sustainability, 17.","DOI":"10.3390\/su17062607"},{"key":"ref_3","first-page":"429","article-title":"COVID-19 and Power in Global Health","volume":"9","author":"Patterson","year":"2020","journal-title":"Int. J. Health Policy Manag."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Chumachenko, D., Piletskiy, P., Sukhorukova, M., and Chumachenko, T. (2022). Predictive Model of Lyme Disease Epidemic Process Using Machine Learning Approach. Appl. Sci., 12.","DOI":"10.3390\/app12094282"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Necesito, I.V., Mark, J., Jung, J., Bae, Y.H., Yoo, Y., Kim, S., and Kim, H.S. (2022). Predicting COVID-19 Cases in South Korea Using Stringency and Ni\u00f1o Sea Surface Temperature Indices. Front. Public Health, 10.","DOI":"10.3389\/fpubh.2022.871354"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1145\/3637332","article-title":"Exploring the Role of Chatbots in Tackling COVID-19 Vaccine Hesitancy among Pregnant and Breastfeeding Women in Rural Northern India","volume":"8","author":"Kaur","year":"2024","journal-title":"Proc. ACM Hum. Comput. Interact."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"102551","DOI":"10.1016\/j.asej.2023.102551","article-title":"Evaluation of Success Factors of Utilizing AI in Digital Transformation of Health and Safety Management Systems in Modern Construction Projects","volume":"14","author":"Waqar","year":"2023","journal-title":"Ain Shams Eng. J."},{"key":"ref_8","first-page":"5","article-title":"Adaptability in Managing Innovative Projects within the Bani Environment","volume":"54","author":"Bushuyev","year":"2023","journal-title":"Manag. Dev. Complex Syst."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"100445","DOI":"10.1016\/j.joitmc.2024.100445","article-title":"Artificial Intelligence in Open Innovation Project Management: A Systematic Literature Review on Technologies, Applications, and Integration Requirements","volume":"11","author":"Prasetyo","year":"2024","journal-title":"J. Open Innov. Technol. Mark. Complex."},{"key":"ref_10","first-page":"361","article-title":"Development and Implementation of Intelligent Programming Tool for Agile Transformation of Human Resource Management Processes","volume":"3777","author":"Dotsenko","year":"2024","journal-title":"CEUR Workshop Proc."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"611","DOI":"10.30574\/wjaets.2024.13.2.0628","article-title":"AI-Driven Risk Mitigation: Transforming Project Management in Construction and Infrastructure Development","volume":"13","author":"Ajirotutu","year":"2024","journal-title":"World J. Adv. Eng. Technol. Sci."},{"key":"ref_12","first-page":"391","article-title":"Emotional Behavior in the \u201cInfodemic vs. Panicdemic vs. Pandemic\u201d Modeling COVID-19","volume":"2851","author":"Bushuyev","year":"2021","journal-title":"CEUR Workshop Proc."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Secinaro, S., Calandra, D., Secinaro, A., Muthurangu, V., and Biancone, P. (2021). The Role of Artificial Intelligence in Healthcare: A Structured Literature Review. BMC Med. Inform. Decis. Mak., 21.","DOI":"10.1186\/s12911-021-01488-9"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Waqar, A., Othman, I., Sor, N.H., Alshehri, A., Almujibah, H., Alotaibi, B.S., Abuhussain, M.A., Bageis, A.S., Althoey, F., and Hayat, S. (2023). Modeling Relation among Implementing AI-Based Drones and Sustainable Construction Project Success. Front. Built Environ., 9.","DOI":"10.3389\/fbuil.2023.1208807"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"741","DOI":"10.12688\/f1000research.152543.1","article-title":"Championing Health Systems Management with Digital Innovation and Applications in the Age of Artificial Intelligence: Protocol for a Research Program","volume":"13","author":"Bellei","year":"2024","journal-title":"F1000Research"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Chumachenko, D., Butkevych, M., Lode, D., Frohme, M., Schmailzl, K.J.G., and Nechyporenko, A. (2022). Machine Learning Methods in Predicting Patients with Suspected Myocardial Infarction Based on Short-Time HRV Data. Sensors, 22.","DOI":"10.3390\/s22187033"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Bushuyev, S., Babayev, I., Bushuieva, V., Bushuyeva, N., Babayev, J., and Bushuiev, D. (2021, January 28\u201330). Managing Project Success with \u201cInfodemic\u201d vs. \u201cPandemic\u201d Environment on the COVID-19 Pandemic Case. Proceedings of the 2021 IEEE International Conference on Smart Information Systems and Technologies (SIST), Nur-Sultan, Kazakhstan.","DOI":"10.1109\/SIST50301.2021.9465939"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Vrchota, J., \u0158eho\u0159, P., Ma\u0159\u00edkov\u00e1, M., and Pech, M. (2020). Critical Success Factors of the Project Management in Relation to Industry 4.0 for Sustainability of Projects. Sustainability, 13.","DOI":"10.3390\/su13010281"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1016\/j.buildenv.2019.05.020","article-title":"Review of Critical Success Factors (CSFs) for Green Building Projects","volume":"158","author":"Li","year":"2019","journal-title":"Build. Environ."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.ijproman.2011.03.005","article-title":"Critical Success Factors for World Bank Projects: An Empirical Investigation","volume":"30","author":"Ika","year":"2012","journal-title":"Int. J. Proj. Manag."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Santos, C., Varaj\u00e3o, J., Takagi, N., and Gon\u00e7alves, A.M. (2024). Model of Driving Factors for Success in Public Health Project Management Using Structural Equation Modeling. Sci. Rep., 14.","DOI":"10.1038\/s41598-024-75437-7"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Padalko, H., Chomko, V., and Chumachenko, D. (2024). A Novel Approach to Fake News Classification Using LSTM-Based Deep Learning Models. Front. Big Data, 6.","DOI":"10.3389\/fdata.2023.1320800"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"100588","DOI":"10.1016\/j.epidem.2022.100588","article-title":"Modelling: Understanding Pandemics and How to Control Them","volume":"39","author":"Marion","year":"2022","journal-title":"Epidemics"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"e240901","DOI":"10.1001\/jamahealthforum.2024.0901","article-title":"A Comparison of Ukrainian Hospital Services and Functions before and during the Russia-Ukraine War","volume":"5","author":"Haque","year":"2024","journal-title":"JAMA Health Forum"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Guo, X., Tong, J., Chen, P., and Fan, W. (2021). The Suppression Effect of Emotional Contagion in the COVID-19 Pandemic: A Multi-Layer Hybrid Modelling and Simulation Approach. PLoS ONE, 16.","DOI":"10.1371\/journal.pone.0253579"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"e002914","DOI":"10.1136\/bmjgh-2020-002914","article-title":"Modelling the Pandemic: Attuning Models to Their Contexts","volume":"5","author":"Rhodes","year":"2020","journal-title":"BMJ Glob. Health"},{"key":"ref_27","first-page":"20210309","article-title":"An Algebraic Framework for Structured Epidemic Modelling","volume":"380","author":"Libkind","year":"2022","journal-title":"Philos. Trans. R. Society. Math. Phys. Eng. Sci."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"5","DOI":"10.32620\/reks.2021.3.01","article-title":"Comparative Study of Linear Regression and SIR Models of COVID-19 Propagation in Ukraine before Vaccination","volume":"2021","author":"Mohammadi","year":"2021","journal-title":"Radioelectron. Comput. Syst."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"2391","DOI":"10.1142\/S0218202521020024","article-title":"Modeling Virus Pandemics in a Globally Connected World a Challenge towards a Mathematics for Living Systems","volume":"31","author":"Bellomo","year":"2021","journal-title":"Math. Models Methods Appl. Sci."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Schaber, K.L., Kumar, S., Lubwama, B., Desai, A., and Majumder, M.S. (2023). An Epidemic Model for Multi-Intervention Outbreaks. medRxiv.","DOI":"10.1101\/2023.06.27.23291973"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"198","DOI":"10.14745\/ccdr.v46i06a08","article-title":"Modelling Scenarios of the Epidemic of COVID-19 in Canada","volume":"46","author":"Ogden","year":"2020","journal-title":"Can. Commun. Dis. Rep."},{"key":"ref_32","first-page":"e79450","article-title":"The Impact of Armed Conflicts on the Prevalence, Transmission, and Management of Infectious Diseases: A Systematic Review","volume":"17","author":"Alfaleh","year":"2025","journal-title":"Cureus"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"102371","DOI":"10.1016\/j.jocs.2024.102371","article-title":"Flee 3: Flexible Agent-Based Simulation for Forced Migration","volume":"81","author":"Ghorbani","year":"2024","journal-title":"J. Comput. Sci."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"322","DOI":"10.18683\/germs.2024.1443","article-title":"The Infectious Disease Burden among War Related Internally Displaced People in the Lviv Region of Ukraine","volume":"14","author":"Vasylyev","year":"2024","journal-title":"Germs"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Rodr\u00edguez, A., Cuevas, E., Zaldivar, D., Morales-Casta\u00f1eda, B., Sarkar, R., and Houssein, E.H. (2022). An Agent-Based Transmission Model of COVID-19 for Re-Opening Policy Design. Comput. Biol. Med., 148.","DOI":"10.1016\/j.compbiomed.2022.105847"},{"key":"ref_36","unstructured":"World Health Organization (WHO) (2025, June 17). Highlighting a Population\u2019s Health Information Needs During Health Emergencies Through New Infodemic Management Tools and Frameworks, Available online: http:\/\/who.int\/news\/item\/13-04-2023-highlighting-a-population-s-health-information-needs-during-health-emergencies-through-new-infodemic-management-tools-and-frameworks\/."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Thakur, N., and Han, C.Y. (2021). Multimodal Approaches for Indoor Localization for Ambient Assisted Living in Smart Homes. Information, 12.","DOI":"10.3390\/info12030114"},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Alb\u00edn-Rodr\u00edguez, A.-P., De-La-Fuente-Robles, Y.-M., L\u00f3pez-Ruiz, J.-L., Verdejo-Espinosa, \u00c1., and Est\u00e9vez, M.E. (2021). UJAmI Location: A Fuzzy Indoor Location System for the Elderly. Int. J. Environ. Res. Public Health, 18.","DOI":"10.3390\/ijerph18168326"}],"container-title":["Computation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2079-3197\/13\/7\/160\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T18:04:53Z","timestamp":1760033093000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2079-3197\/13\/7\/160"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,4]]},"references-count":38,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2025,7]]}},"alternative-id":["computation13070160"],"URL":"https:\/\/doi.org\/10.3390\/computation13070160","relation":{},"ISSN":["2079-3197"],"issn-type":[{"type":"electronic","value":"2079-3197"}],"subject":[],"published":{"date-parts":[[2025,7,4]]}}}