Quality of Symptom-Based Diagnosis of Rotavirus Infection Based on Mathematical Modeling

  • Serhii O. SoloviovEmail author
  • Mohamad S. Hakim
  • Hera Nirwati
  • Abu T. Aman
  • Yati Soenarto
  • Qiuwei Pan
  • Iryna V. Dzyublyk
  • Tatiana I. Andreeva
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 754)


Rotavirus is the leading cause of severe childhood gastroenteritis worldwide. The laboratory diagnosis requires testing of fecal specimens with commercial assays that often are not available in low resource settings. Therefore, estimation of rotavirus presence based on clinical symptoms is expected to improve the disease management without laboratory verification.

We aimed to develop and compare different mathematical approaches to model-based evaluation of expected rotavirus presence in patients with similar clinical symptoms. Two clinical datasets were used to develop clinical evaluation models of rotavirus presence or absence based on Bayesian network (BN), linear and nonlinear regression.

The developed models produced different levels of reliability. BN compared with regression models showed better rotavirus detection results according to optimal cut-off points. Such approach is viable to help physicians refer patient to the group with suspected rotavirus infection to avoid unnecessary antibiotic treatment and to prevent rotavirus infection spread in a hospital ward.


Rotavirus infection Symptoms Bayesian network Regression 



The authors thank the Indonesia Endowment Fund for Education (LPDP) for funding Ph.D. fellowship to Mohamad S. Hakim.

Conflict of Interest

The authors declare to have no conflict of interest.


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Applied MathematicsNational Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”KyivUkraine
  2. 2.Department of VirologyShupyk National Medical Academy of Postgraduate EducationKyivUkraine
  3. 3.Department of Gastroenterology and HepatologyErasmus MC-University Medical CenterRotterdamThe Netherlands
  4. 4.Department of Microbiology, Faculty of MedicineUniversitas Gadjah MadaYogyakartaIndonesia
  5. 5.Department of Child Health, Faculty of MedicineUniversitas Gadjah MadaYogyakartaIndonesia
  6. 6.Department of Public HealthBabeș-Bolyai UniversityCluj-NapocaRomania
  7. 7.Alcohol and Drug Information CenterKyivUkraine

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