COVID-19 INFEKSIYASINING IMMUN JAVOB DINAMIKASINI ODDIY DIFFERENSIAL TENGLAMALAR ASOSIDA MODELLASHTIRISH
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.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-08-29
- DOI
- https://doi.org/10.5281/zenodo.16991130
- Primary Topic
- Geochemistry and Geologic Mapping
- Type
- article
- Field-Weighted Citation Impact
- 0.00