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Krzysztof Fiok

Biographic Data

ID7895920
NAMEKrzysztof Fiok
GIVEN NAMESKrzysztof
FAMILY NAMEFiok
SIGNATUREFIOK K
AFFILIATIONSUniversity of Central Florida
ORCID0000-0001-5711-1498
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2022
H-INDEX0
  • The Chaotic Behavior of the Spread of Infection during the Covid-19 Pandemic in Japan

    Open Access•Nabin Sapkota, Atsuo Murata et al.•ARTICLE•International Journal of…•2022

    In December 2019, China reported a new virus identified as SARS-CoV-2, causing COVID-19, which soon spread to other countries and led to a global pandemic. Although many countries imposed strict actions to control the spread of the virus, the COVID-19 pandemic resulted in unprecedented economic and social consequences in 2020 and early 2021. To understand the dynamics of the spread of the virus, we evaluated its chaotic behavior in Japan. A 0-1 t…

  • A Study of the Effects of the Covid-19 Pandemic on the Experience of Back Pain Reported on Twitter® in the United States

    Open Access•Krzysztof Fiok, Waldemar Karwowski et al.•ARTICLE•International Journal of…•2021

    The COVID-19 pandemic has changed our lifestyles, habits, and daily routine. Some of the impacts of COVID-19 have been widely reported already. However, many effects of the COVID-19 pandemic are still to be discovered. The main objective of this study was to assess the changes in the frequency of reported physical back pain complaints reported during the COVID-19 pandemic. In contrast to other published studies, we target the general population u…

  • Predicting the Dynamics of the Covid-19 Pandemic in the United States Using Graph Theory-Based Neural Networks

    Open Access•Mohammad Reza Davahli, Krzysztof Fiok et al.•ARTICLE•International Journal of…•2021

    The COVID-19 pandemic has had unprecedented social and economic consequences in the United States. Therefore, accurately predicting the dynamics of the pandemic can be very beneficial. Two main elements required for developing reliable predictions include: (1) a predictive model and (2) an indicator of the current condition and status of the pandemic. As a pandemic indicator, we used the effective reproduction number (Rt), which is defined as the…

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  • A Study of the Effects of the Covid-19 Pandemic on the Experience of Back Pain Reported on Twitter® in the United States

    Open Access•Krzysztof Fiok, Waldemar Karwowski et al.•ARTICLE•International Journal of…•2021

    The COVID-19 pandemic has changed our lifestyles, habits, and daily routine. Some of the impacts of COVID-19 have been widely reported already. However, many effects of the COVID-19 pandemic are still to be discovered. The main objective of this study was to assess the changes in the frequency of reported physical back pain complaints reported during the COVID-19 pandemic. In contrast to other published studies, we target the general population u…

  • Predicting the Dynamics of the Covid-19 Pandemic in the United States Using Graph Theory-Based Neural Networks

    Open Access•Mohammad Reza Davahli, Krzysztof Fiok et al.•ARTICLE•International Journal of…•2021

    The COVID-19 pandemic has had unprecedented social and economic consequences in the United States. Therefore, accurately predicting the dynamics of the pandemic can be very beneficial. Two main elements required for developing reliable predictions include: (1) a predictive model and (2) an indicator of the current condition and status of the pandemic. As a pandemic indicator, we used the effective reproduction number (Rt), which is defined as the…

  • The Chaotic Behavior of the Spread of Infection during the Covid-19 Pandemic in Japan

    Open Access•Nabin Sapkota, Atsuo Murata et al.•ARTICLE•International Journal of…•2022

    In December 2019, China reported a new virus identified as SARS-CoV-2, causing COVID-19, which soon spread to other countries and led to a global pandemic. Although many countries imposed strict actions to control the spread of the virus, the COVID-19 pandemic resulted in unprecedented economic and social consequences in 2020 and early 2021. To understand the dynamics of the spread of the virus, we evaluated its chaotic behavior in Japan. A 0-1 t…

Coronavirus disease 2019 (COVID-19 (3 works) · Medicine (3 works) · Pandemic (3 works) · Population (3 works) · COVID-19 epidemiological studies (2 works) · Environmental health (2 works) · Mathematics (2 works) · 2019-20 coronavirus outbreak (1 work) · Alternative medicine (1 work) · Artificial Intelligence (1 work)

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