Skip to main content
NCBI home page
Springer Nature - PMC COVID-19 Collection logoLink to Springer Nature - PMC COVID-19 Collection
. 2022 Sep 1;58(3):343–353. doi: 10.1007/s10559-022-00466-x

Intelligent Decision-Support System for Epidemiological Diagnostics. I. A Concept of Architecture Design

K O Bazilevych 1,✉, D I Chumachenko 1, L F Hulianytskyi 2, I S Meniailov 1, S V Yakovlev 1
PMCID: PMC9433526  PMID: 36065231

Abstract

The problems of decision support for epidemiological diagnostics are investigated. The basis for supporting decision-making is mathematical tools for analyzing morbidity data, as well as modeling of epidemic processes. The current state of research in this area is analyzed. The features of decision-making in epidemiology and public health are formalized. Principles for the development of an intelligent information system for decision-making support for epidemiological diagnostics are proposed. A systemic model of the system, a model of the interaction of elements of the epidemiological diagnostics system and the interaction of logical components of the information system has been developed. Taking into account the identified features of these processes, the concept of the architecture of such an intelligent information system is proposed.

Keywords: decision support system, epidemic monitoring, infectious diseases control, information system, epidemic model

Footnotes

The research is based on the results obtained within the research project 2020.02/0404 on the topic “Development of intelligent technologies for assessing the epidemic situation to support decision-making within the population biosafety management” funded by the National Research Foundation of Ukraine.

Translated from Kibernetyka ta Systemnyi Analiz, No. 3, May–June, 2022, pp. 30–41.

Contributor Information

K. O. Bazilevych, Email: ksenia.bazilevich@gmail.com

D. I. Chumachenko, Email: dichumachenko@gmail.com

L. F. Hulianytskyi, Email: hulianytskyiLF@nas.gov.ua

I. S. Meniailov, Email: evgenii.menyailov@gmail.com

S. V. Yakovlev, Email: svsyak7@gmail.com

References

  • 1.Z. Mei and Y. Zirong, “Design of epidemic monitoring platform based on ArcGIS,” in: Proc. 14th Intern. Symp. on Distributed Computing and Applications for Business Engineering and Science (DCABES) (18–24 August, 2015, Guiyang, China), Guiyang (2015), pp. 380–383. 10.1109/DCABES.2015.102.
  • 2.Van Genne MK, Poelman R, Cassidy H, Meessen NEL, Niesters HGM. Interdependence of diagnostics and epidemiology, a European perspective: Position paper on the need for an intrinsic cooperation and data sharing. J. of Clinical Virology. 2019;118:6–8. doi: 10.1016/j.jcv.2019.07.002. [DOI] [PubMed] [Google Scholar]
  • 3.Gromashevsky LV. General Epidemiology. Moscow: Medgiz; 1965. [Google Scholar]
  • 4.A. Sharma and P. Kaur, “A multitenant data store using a column based NoSQL database,” in: Proc. 12th Intern. Conf. on Contemporary Computing (8–10 August, 2019, Noida, India). Noida (2019), pp. 1–5, 10.1109/IC3.2019.8844906.
  • 5.Y. Song, R. Routray, R. Jain, and C. Tan, “A data-driven storage recommendation service for multitenant storage management environments,” in: Proc. 2015 IFIP/IEEE Intern. Symp. on Integrated Network Management (IM) (11–15 May, 2015, Ottawa, ON, Canada), Ottawa (2015), pp. 1026–1040. 10.1109/INM.2015.7140429.
  • 6.G. Kappes, A. Hatzieleftheriou, and S. V. Anastasiadis, “Multitenant access control for cloud-aware distributed filesystems,” in: Proc. IEEE Trans. on Dependable and Secure Computing, Vol. 16, Iss. 6, 1070–1085 (2019). 10.1109/TDSC.2017.2715839.
  • 7.A. Hudic, M. Tauber, T. Lorunser, M. Krotsiani, G. Spanoudakis, A. Mauthe, and E. R. Weippl, “A multi-layer and multitenant cloud assurance evaluation methodology,” in: Proc. IEEE 6th Intern. Conf. on Cloud Computing Technology and Science (15–18 December, 2014, Singapore), Singapore (2014), pp. 386–393. 10.1109/CloudCom.2014.85.
  • 8.S. Yakovlev, K. Bazilevych, D. Chumachenko, T. Chumachenko, L. Hulianytskyi, I. Meniailov, and A. Tkachenko, “The concept of developing a decision support system for the epidemic morbidity control,” in: Proc. 3rd Intern. Conf. on Informatics & Data-Driven Medicine (19–21 November, 2020, Växjö, Sweden), Växjö, Vol. 2753 (2020), pp. 265–274.
  • 9.V. I. Gritsenko, L. M. Kozak, A. S. Kovalenko, A. A. Pezenciali, N. S Rogozinskaya., and V. G. Ostashko, “Medical information systems as elements of unite medical information space,” Kibernetika i Vych. Technika, Issue 174, 30–46 (2013).
  • 10.Tummers J, Tobi H, Catal C, Tekinerdogan B. Designing a reference architecture for health information systems. BMC Medical Informatics and Decision Making. 2021;21:210. doi: 10.1186/s12911-021-01570-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.M. Protogerakis, A. Gramatke, and K. Henning, “A system architecture for a telematic support system in emergency medical services,” in: Proc. 3rd Intern. Conf. on Bioinformatics and Biomedical Engineering (11–13 June, 2009, Beijing, China), Beijing (2009), pp. 1–4. 10.1109/ICBBE.2009.5162255.
  • 12.Sadj M, Agsan K. Role of enterprise architecture in healthcare organizations and knowledge-based medical diagnosis system. J. of Inform. Syst. and Technology Management. 2016;13(2):181–192. doi: 10.4301/S1807-17752016000200002. [DOI] [Google Scholar]
  • 13.H. She, Z. Lu, A. Jantch, L. R. Zheng, Zh. Lu, and D. Zhou, “A network-based system architecture for remote medical applications,” in: Proc. Network Research Workshop (27 August 2007, Xi’an, China), Xi’an (2007). URL: https://people.kth.se/~zhonghai/papers/2007/APAN07-Huimin.pdf.
  • 14.Sebaa A, Chikh F, Nouicer A, Tari AK. Medical big data warehouse: Architecture and system design, a case study: Improving healthcare resources distribution. J. of Medical Systems. 2018;42:59. doi: 10.1007/s10916-018-0894-9. [DOI] [PubMed] [Google Scholar]
  • 15.R. Kailar and V. Muralidhar, “A security architecture for health information networks,” in: Proc. AMIA Annual Symposium, Vol. 2007 (2007), pp. 379–383. URL: https://pubmed.ncbi.nlm.nih.gov/18693862/. [PMC free article] [PubMed]
  • 16.M. S. Baghini, R. Rabiei, F. Aasdi, H. Moghaddasi, and A. Sabahi, “National mental health information system: A review of data architecture in selected countries,” J. of Advanced Pharmacy Education and Research, Vol. 10, Iss. S2, 130–138 (2020).
  • 17.L. Leonardi, L. Lo Bello, G. Patti, and O. Ragusa, “A network architecture and routing protocol for the MEDIcal WARNing system,” J. of Sensors and Actuator Networks, Vol. 10, Iss. 3, 44 (2021). 10.3390/jsan10030044.
  • 18.Iu. G. Kryvonos, Iu. V. Krak, O. V. Barmak, and A. I. Kulias, “Methods to create systems for the analysis and synthesis of communicative information,” Cybern. Syst. Analysis, Vol. 53, No. 6, 847–856 (2017). 10.1007/s10559-017-9986-7.
  • 19.Palagin AV. Functionally oriented approach in research-related design. Cybern. Syst. Analysis. 2017;53(6):986–992. doi: 10.1007/s10559-017-0001-0. [DOI] [Google Scholar]
  • 20.Meytus VY. Problems of constructing intelligent systems. Knowledge representation. Cybern. Syst. Analysis. 2019;55(4):521–530. doi: 10.1007/s10559-019-00160-5. [DOI] [Google Scholar]
  • 21.A. V. Palagin, T. V. Semikopnaya, I. A. Chaikovsky, and O. V. Sivak, “Telerehabilitation: information and technological support, experience of application,” J. of Clinical Informatics and Telemedicine, Vol. 15, Iss. 16, 35–44 (2020). 10.31071/kit2020.16.15.
  • 22.Ilchenko MY, Uryvsky LA, Moshinskaya AV. Developing telecommunication strategies based on scenarios in the information community. Cybern. Syst. Analysis. 2017;53(6):905–913. doi: 10.1007/s10559-017-9992-9. [DOI] [Google Scholar]
  • 23.H. G. Sol, C. A. T. Takkenberg, and P. F. de Vries Robbe, “Expert systems and artificial intelligence in decision support systems,” Proc. 2nd Mini Euroconference (17–20 November, 1985, Lunteren, The Netherlands), Lunteren (1985).
  • 24.Meaning of “decision support system” in the Cambridge English Dictionary. URL: http://dictionary.cambridge.org/dictionary/english/decision-support-system.
  • 25.Meaning of “decision support system” in the Webster Dictionary. URL: http://www.webster-dictionary.org/definition/DecisionSupportSystems.
  • 26.Carcione J, Santos JE, Bagaini C, Ba J. A simulation of a COVID-19 epidemic based on a deterministic SEIR model. Frontiers in Public Health. 2020;8:230. doi: 10.3389/fpubh.2020.00230. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Hassanat AB, Mnasri S, Aseeri MA, Alhazmi K, Cheikhrouhou O, Altarawneh G, Alrashid M, Tarawneh AS, Almohammadi KS, Almoamari HA. A simulation model for forecasting COVID-19 pandemic spread: Analytical results based on the current Saudi COVID-19 data. Sustainability. 2021;13, Iss. 9:4888. doi: 10.3390/su13094888. [DOI] [Google Scholar]
  • 28.Giordano G, Blanchini F, Bruno R, Colaneri P, Di Filippo A, Di Matteo A, Colaneri M. Modelling the COVID-19 epidemic and implementation of population-wide interventions in Italy. Nature Medicine. 2020;26:855–860. doi: 10.1038/s41591-020-0883-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Hu B, Ning P, Qiu J, Tao V, Devlin AT, Chen H, Wang J, Lin H. Modeling the complete spatiotemporal spread of the COVID-19 epidemic in mainland China. Intern. J. of Infectious Diseases. 2021;110:247. doi: 10.1016/j.ijid.2021.04.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Knopov PS, Samosonok OS, Bila GD. A model of infectious disease spread with hidden carriers. Cybern. Syst. Analysis. 2021;57(4):647–655. doi: 10.1007/s10559-021-00390-6. [DOI] [Google Scholar]
  • 31.Kyrychko YN, Blyuss KB, Brovchenko I. Mathematical modelling of the dynamics and containment of COVID-19 in Ukraine. Scientific Reports. 2020;10:19662. doi: 10.1038/s41598-020-76710-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Payne TH. Computer decision support systems. Chest. 2000;118, Iss. 2:47S–52S. doi: 10.1378/chest.118.2_suppl.47s. [DOI] [PubMed] [Google Scholar]
  • 33.D. P. Y. Reyes, T. J. M. Mora, H. A. Duran-Limov, L. C. Rodriguez-Martinez, G. R. Mensoza, and D. M. A. Rodriguez, “State of the art of software architecture design methods used in main software development methodologies,” Encyclopedia of Information Science and Technology (2015). 10.4018/978-1-4666-5888-2.ch724.

Articles from Cybernetics and Systems Analysis are provided here courtesy of Nature Publishing Group

RESOURCES