Modern approaches to the epidemiological, clinical, and laboratory assessment of infectious morbidity

Infectious morbidity; military epidemiology; epidemiological surveillance; risk assessment; short-term forecasting; syndromic surveillance; laboratory monitoring; person-days.

Shermuxamedova Gulandomxon Tadjiyevna1
Tashkent State Medical University,
Tashkent, Uzbekistan.
Military Medical Academy of the
Armed Forces of the Republic of
Uzbekistan, Tashkent, Uzbekistan.
E-mail: dr.shermukhamedova@bk.ru
ORCID: https://orcid.org/.0009-00034949-454X

Alieva Nairaxon Nuriddinovna2
Tashkent State Medical University,
Tashkent, Uzbekistan.
E-mail: naira_0220@mail.ru
ORCID: https://orcid.org/0009-00019039-9849

Matyakubov Mansurbek3
Head of the Department for the
Organization of Retraining and
Professional Development
The center for retraining and
professional development of personnel
in the field of sanitary-epidemiological
welfare and public health, Tashkent,
Uzbekistan.
E-mail: matyakubov.mansur@mail.ru
ORCID: https://orcid.org/0009-00081582-6506

Buribaeva Bakhriniso4
Department of Infectious Diseases,
Children Infectious Diseases,
Phthisiology and Pulmonology,
Tashkent State Medical University,
Tashkent, Uzbekistan.
E-mail: dr.buribaeva@gmail.com
ORCID: https://orcid.org/0000-00019882-5868

Karimov Rasulbek5
Associate Professor of the Department
of Pathomorphology (PhD)
Urgench State Medical Institute,
Urgench, Uzbekistan.
E-mail: r.karimov.86@mail.ru
ORCID: https://orcid.org/0009-00090325-2709

Received-21-05-2026
Revised-25-06-2026
Accepted-29-06-2026

European Journal of Prosthodontics and Restorative Dentistry (2026) 34 (04s), 548-558

Modern approaches to the epidemiological, clinical, and laboratory assessment of infectious morbidity

Background: Infectious morbidity in organized military units remains an important cause of medical losses and operational disruption. Stable daily contacts, shared accommodation, collective training, transport, catering facilities, and sanitary zones create conditions in which even mild infections may rapidly acquire group-level significance. Objective: This study aimed to substantiate modern epidemiological, clinical, and laboratory approaches to the assessment of infectious morbidity in military units and to develop a short-term risk-based forecasting framework for differentiated preventive decision-making. Methods: The proposed approach is based on weekly unit-level assessment using incidence per 1,000 person-days, outbreak activity, clinical severity, hospitalization patterns, laboratory verification, and lost duty days. Environmental, organizational, clinical, and laboratory risk indicators were considered, including ventilation, housing density, vaccination coverage, timeliness of medical consultation and isolation, hand hygiene, sanitary conditions, and evidence of repeated pathogen detection. Forecasting methods included syndromic surveillance, regression-based models, countdata approaches, gradient boosting comparison, calibration assessment, Brier score analysis, and decision curve evaluation. Results: The article identifies a methodological gap between fragmented medical, laboratory, sanitary, and organizational data and the need for an integrated weekly surveillance system. A seven-day forecast horizon and risk-category-based reassessment model are proposed, allowing low-risk units to remain under routine weekly monitoring while moderate, high, and critical categories require accelerated reassessment and intensified preventive action. Conclusion: A unit-week risk assessment model can strengthen early warning, improve the timing of preventive measures, and reduce the gap between epidemiological signals and practical military medical decisions.

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