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Covid-19 Infeksiyasining Immun Javob Dinamikasini Oddiy Differensial Tenglamalar Asosida Modellashtirish

Year: 2025

Type: article

Abstract: Ushbu ilmiy ishda SARS-CoV-2 (COVID-19) infeksiyasining ichki (within-host) dinamikasi matematik modellashtirish orqali tahlil qilindi. Oddiy differensial tenglamalar (ODE) asosidagi model yordamida virus yuklamasi, maqsadli hujayralar, infeksiyalangan hujayralar va immun javob elementlarining vaqt bo‘yicha o‘zgarishi o‘rganildi. Hisob-kitoblar Maple 2024 va Python (SciPy) muhitlarida amalga oshirildi. Natijalar virus yuklamasining dastlabki bosqichda tez o‘sishini, immun tizimining esa bosqichma-bosqich faollashishini ko‘rsatdi. Model klinik kuzatuvlar bilan mos kelib, antiviral terapiya va vaksinatsiya strategiyalarini optimallashtirish imkonini beradi.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.16991129

Authors: Ibragimova Nilufarxon G'anijon qizi, Ibragimov Raximjon Xasanboy o'g'li, Ro'ziboyeva Shaxnoza Vohidjon qizi

Language: English

Topic: Mathematical and Theoretical Epidemiology and Ecology Models

Subfield: Public Health, Environmental and Occupational Health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7078699622

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