An Empirical Study on the Transformation of Asymptomatic Infected Persons into Confirmed Cases in Mainland China During the COVID-19 Pandemic

Liu Fangjun; Deng Xiaokai

doi:doi:10.11648/j.si.20231104.11

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An Empirical Study on the Transformation of Asymptomatic Infected Persons into Confirmed Cases in Mainland China During the COVID-19 Pandemic

Liu Fangjun, Deng Xiaokai

Published in Science Innovation (Volume 11, Issue 4)

Received: 5 May 2023 Accepted: 4 July 2023 Published: 11 July 2023

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Abstract

This study empirically investigates the conversion of asymptomatic infections to confirmed cases in mainland China during the COVID-19 pandemic using time series data. The study finds that asymptomatic infections from overseas and those released from medical observation on the same day do not have a significant impact on the conversion to confirmed cases on the same day. However, local asymptomatic infections and those still under medical observation have a significant impact on the conversion to confirmed cases on the same day. Specifically, on average, approximately 142 out of every 10,000 local asymptomatic infections will convert to confirmed cases, while approximately 17 out of every 10,000 asymptomatic infections still under medical observation will convert to confirmed cases. Additionally, the impact of asymptomatic infections from overseas on the conversion to confirmed cases is lagged, with a lag of up to 23 days. These findings are important for understanding the process of asymptomatic infections converting to confirmed cases and controlling the spread of the virus.

Published in	Science Innovation (Volume 11, Issue 4)
DOI	10.11648/j.si.20231104.11
Page(s)	179-183
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Novel Coronavirus, Asymptomatic Infected Persons, Confirmed Cases, Time Series Data

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APA Style

Liu Fangjun, Deng Xiaokai. (2023). An Empirical Study on the Transformation of Asymptomatic Infected Persons into Confirmed Cases in Mainland China During the COVID-19 Pandemic. Science Innovation, 11(4), 179-183. https://doi.org/10.11648/j.si.20231104.11

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ACS Style

Liu Fangjun; Deng Xiaokai. An Empirical Study on the Transformation of Asymptomatic Infected Persons into Confirmed Cases in Mainland China During the COVID-19 Pandemic. Sci. Innov. 2023, 11(4), 179-183. doi: 10.11648/j.si.20231104.11

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AMA Style

Liu Fangjun, Deng Xiaokai. An Empirical Study on the Transformation of Asymptomatic Infected Persons into Confirmed Cases in Mainland China During the COVID-19 Pandemic. Sci Innov. 2023;11(4):179-183. doi: 10.11648/j.si.20231104.11

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@article{10.11648/j.si.20231104.11,
  author = {Liu Fangjun and Deng Xiaokai},
  title = {An Empirical Study on the Transformation of Asymptomatic Infected Persons into Confirmed Cases in Mainland China During the COVID-19 Pandemic},
  journal = {Science Innovation},
  volume = {11},
  number = {4},
  pages = {179-183},
  doi = {10.11648/j.si.20231104.11},
  url = {https://doi.org/10.11648/j.si.20231104.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.si.20231104.11},
  abstract = {This study empirically investigates the conversion of asymptomatic infections to confirmed cases in mainland China during the COVID-19 pandemic using time series data. The study finds that asymptomatic infections from overseas and those released from medical observation on the same day do not have a significant impact on the conversion to confirmed cases on the same day. However, local asymptomatic infections and those still under medical observation have a significant impact on the conversion to confirmed cases on the same day. Specifically, on average, approximately 142 out of every 10,000 local asymptomatic infections will convert to confirmed cases, while approximately 17 out of every 10,000 asymptomatic infections still under medical observation will convert to confirmed cases. Additionally, the impact of asymptomatic infections from overseas on the conversion to confirmed cases is lagged, with a lag of up to 23 days. These findings are important for understanding the process of asymptomatic infections converting to confirmed cases and controlling the spread of the virus.},
 year = {2023}
}

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TY  - JOUR
T1  - An Empirical Study on the Transformation of Asymptomatic Infected Persons into Confirmed Cases in Mainland China During the COVID-19 Pandemic
AU  - Liu Fangjun
AU  - Deng Xiaokai
Y1  - 2023/07/11
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DO  - 10.11648/j.si.20231104.11
T2  - Science Innovation
JF  - Science Innovation
JO  - Science Innovation
SP  - 179
EP  - 183
PB  - Science Publishing Group
SN  - 2328-787X
UR  - https://doi.org/10.11648/j.si.20231104.11
AB  - This study empirically investigates the conversion of asymptomatic infections to confirmed cases in mainland China during the COVID-19 pandemic using time series data. The study finds that asymptomatic infections from overseas and those released from medical observation on the same day do not have a significant impact on the conversion to confirmed cases on the same day. However, local asymptomatic infections and those still under medical observation have a significant impact on the conversion to confirmed cases on the same day. Specifically, on average, approximately 142 out of every 10,000 local asymptomatic infections will convert to confirmed cases, while approximately 17 out of every 10,000 asymptomatic infections still under medical observation will convert to confirmed cases. Additionally, the impact of asymptomatic infections from overseas on the conversion to confirmed cases is lagged, with a lag of up to 23 days. These findings are important for understanding the process of asymptomatic infections converting to confirmed cases and controlling the spread of the virus.
VL  - 11
IS  - 4
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Author Information

Liu Fangjun

School of Economics and Finance, Zhanjiang Institute of Science and Technology, Zhanjiang, China
Deng Xiaokai

School of Economics and Finance, Zhanjiang Institute of Science and Technology, Zhanjiang, China

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Plain Text BibTeX RIS

APA Style

Liu Fangjun, Deng Xiaokai. (2023). An Empirical Study on the Transformation of Asymptomatic Infected Persons into Confirmed Cases in Mainland China During the COVID-19 Pandemic. Science Innovation, 11(4), 179-183. https://doi.org/10.11648/j.si.20231104.11

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ACS Style

Liu Fangjun; Deng Xiaokai. An Empirical Study on the Transformation of Asymptomatic Infected Persons into Confirmed Cases in Mainland China During the COVID-19 Pandemic. Sci. Innov. 2023, 11(4), 179-183. doi: 10.11648/j.si.20231104.11

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AMA Style

Liu Fangjun, Deng Xiaokai. An Empirical Study on the Transformation of Asymptomatic Infected Persons into Confirmed Cases in Mainland China During the COVID-19 Pandemic. Sci Innov. 2023;11(4):179-183. doi: 10.11648/j.si.20231104.11

Copy | Download

@article{10.11648/j.si.20231104.11,
  author = {Liu Fangjun and Deng Xiaokai},
  title = {An Empirical Study on the Transformation of Asymptomatic Infected Persons into Confirmed Cases in Mainland China During the COVID-19 Pandemic},
  journal = {Science Innovation},
  volume = {11},
  number = {4},
  pages = {179-183},
  doi = {10.11648/j.si.20231104.11},
  url = {https://doi.org/10.11648/j.si.20231104.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.si.20231104.11},
  abstract = {This study empirically investigates the conversion of asymptomatic infections to confirmed cases in mainland China during the COVID-19 pandemic using time series data. The study finds that asymptomatic infections from overseas and those released from medical observation on the same day do not have a significant impact on the conversion to confirmed cases on the same day. However, local asymptomatic infections and those still under medical observation have a significant impact on the conversion to confirmed cases on the same day. Specifically, on average, approximately 142 out of every 10,000 local asymptomatic infections will convert to confirmed cases, while approximately 17 out of every 10,000 asymptomatic infections still under medical observation will convert to confirmed cases. Additionally, the impact of asymptomatic infections from overseas on the conversion to confirmed cases is lagged, with a lag of up to 23 days. These findings are important for understanding the process of asymptomatic infections converting to confirmed cases and controlling the spread of the virus.},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - An Empirical Study on the Transformation of Asymptomatic Infected Persons into Confirmed Cases in Mainland China During the COVID-19 Pandemic
AU  - Liu Fangjun
AU  - Deng Xiaokai
Y1  - 2023/07/11
PY  - 2023
N1  - https://doi.org/10.11648/j.si.20231104.11
DO  - 10.11648/j.si.20231104.11
T2  - Science Innovation
JF  - Science Innovation
JO  - Science Innovation
SP  - 179
EP  - 183
PB  - Science Publishing Group
SN  - 2328-787X
UR  - https://doi.org/10.11648/j.si.20231104.11
AB  - This study empirically investigates the conversion of asymptomatic infections to confirmed cases in mainland China during the COVID-19 pandemic using time series data. The study finds that asymptomatic infections from overseas and those released from medical observation on the same day do not have a significant impact on the conversion to confirmed cases on the same day. However, local asymptomatic infections and those still under medical observation have a significant impact on the conversion to confirmed cases on the same day. Specifically, on average, approximately 142 out of every 10,000 local asymptomatic infections will convert to confirmed cases, while approximately 17 out of every 10,000 asymptomatic infections still under medical observation will convert to confirmed cases. Additionally, the impact of asymptomatic infections from overseas on the conversion to confirmed cases is lagged, with a lag of up to 23 days. These findings are important for understanding the process of asymptomatic infections converting to confirmed cases and controlling the spread of the virus.
VL  - 11
IS  - 4
ER  -

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