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Alexandra Smirnova

Biographic Data

ID7755247
NAMEAlexandra Smirnova
GIVEN NAMESAlexandra
FAMILY NAMESmirnova
SIGNATURESMIRNOVA A
AFFILIATIONSGeorgia State University
ORCID0000-0002-3135-304X
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Global excess tuberculosis mortality during Covid-19

    Open Access•Hossein Karami, Hamed Karami et al.•ARTICLE•BMC Public Health•2025

    This study presents a systematic, model-based analysis of global excess TB mortality during the COVID-19 pandemic, emphasizing disparities in pandemic response impacts across countries. The findings highlight the need for integrated and resilient public health systems capable of maintaining essential services amid global crises. Our methodology can support real-time monitoring of collateral effects of pandemics on endemic diseases and guide strat…

  • In Awe of God, Nature and Technology

    Open Access•Alexandra Smirnova, Alexandra Yu Smirnova•ARTICLE•3L The Southeast Asian Journal of…•2021

    This article investigates typical usage patterns of the word awe in the English language and how it is related to psychology to depict specific lexical representation of emotions. Contextual analysis of the corpus data revealed inconsistencies in the lexicographic description of awe, regarded by most dictionaries as monosemous. Using linguistic tools of analysis, a functional classification of awe experiences in English-speaking culture was creat…

  • Terrible Angels

    Open Access•Alexandra Smirnova, Alexandra Yu Smirnova et al.•ARTICLE•GEMA Online Journal of Language…•2018

    This study deals with the problem of ambivalence at the semantic level of word meaning. We argue that semantic ambivalence determines the whole structure of polysemy of certain English words and propose a method of establishing contextual markers indicating the presence of semantic ambivalence as the essential element of word meaning. Having studied a large variety of contexts for the word ‘angel’, we have identified three typical collocational p…

No prominent works on this page.

  • Terrible Angels

    Open Access•Alexandra Smirnova, Alexandra Yu Smirnova et al.•ARTICLE•GEMA Online Journal of Language…•2018

    This study deals with the problem of ambivalence at the semantic level of word meaning. We argue that semantic ambivalence determines the whole structure of polysemy of certain English words and propose a method of establishing contextual markers indicating the presence of semantic ambivalence as the essential element of word meaning. Having studied a large variety of contexts for the word ‘angel’, we have identified three typical collocational p…

  • In Awe of God, Nature and Technology

    Open Access•Alexandra Smirnova, Alexandra Yu Smirnova•ARTICLE•3L The Southeast Asian Journal of…•2021

    This article investigates typical usage patterns of the word awe in the English language and how it is related to psychology to depict specific lexical representation of emotions. Contextual analysis of the corpus data revealed inconsistencies in the lexicographic description of awe, regarded by most dictionaries as monosemous. Using linguistic tools of analysis, a functional classification of awe experiences in English-speaking culture was creat…

  • Global excess tuberculosis mortality during Covid-19

    Open Access•Hossein Karami, Hamed Karami et al.•ARTICLE•BMC Public Health•2025

    This study presents a systematic, model-based analysis of global excess TB mortality during the COVID-19 pandemic, emphasizing disparities in pandemic response impacts across countries. The findings highlight the need for integrated and resilient public health systems capable of maintaining essential services amid global crises. Our methodology can support real-time monitoring of collateral effects of pandemics on endemic diseases and guide strat…

Linguistics (2 works) · Psychology (2 works) · Ambivalence (1 work) · Archetype (1 work) · Artificial Intelligence (1 work) · Biostatistics (1 work) · Collateral damage (1 work) · Computer Science (1 work) · COVID-19 epidemiological studies (1 work) · Cultural, Linguistic, Economic Studies (1 work)

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