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O'ZBEKISTONDA COVID-19 KORONAVIRUS EPIDEMIYASINING TARQALISHINI MATEMATIK MODELLASHTIRISH

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 23 Apr 2022Publisher:Zenodo
Authors: Kabiljanova Firuza Azimovna; Boltaboyeva Nodiraxon Isiroyiljonovna;

doi: 10.5281/zenodo.6476162 , 10.5281/zenodo.6476163

O'ZBEKISTONDA COVID-19 KORONAVIRUS EPIDEMIYASINING TARQALISHINI MATEMATIK MODELLASHTIRISH

Abstract

O'zbekistonda COVID-19 epidemiyasi tarqalishini o'rganish uchun kasallanganlar sonining o'zgarishini tavsiflovchi immunitetli epidemiya modeli qo'llanildi. 2022 yil 4 yanvardan 2022 yil 4 aprelgacha bo'lgan vaqt oralig'ida model parametrlari aniqlandi. O’zbekistonda epidemiya tarqalishining 3 ta turli holati ko'rib chiqildi, kun bo'yicha kasallikning tarqalish dinamikasi o'rganildi. Epidemiyaning eng yuqori nuqtasida kasallanganlar soni, asosiy o'sish koeffisiyenti aniqlandi.

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Keywords

epidemiya, COVID-19 koronavirusi, matematik modellashtirish, immunitetli epidemiya modeli, epidemiya tarqalishi

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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Corona Virus Disease