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The research of SARIMA model for prediction of hepatitis B in mainland China
Hepatitis B virus infection is a major global public health concern. This study explored the epidemic characteristics and tendency of hepatitis B in 31 provinces of mainland China, constructed a SARIMA model for prediction, and provided corresponding preventive measures. Monthly hepatitis B case dat...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9276452/ https://www.ncbi.nlm.nih.gov/pubmed/35687775 http://dx.doi.org/10.1097/MD.0000000000029317 |
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author | Zhao, Daren Zhang, Huiwu Cao, Qing Wang, Zhiyi Zhang, Ruihua |
author_facet | Zhao, Daren Zhang, Huiwu Cao, Qing Wang, Zhiyi Zhang, Ruihua |
author_sort | Zhao, Daren |
collection | PubMed |
description | Hepatitis B virus infection is a major global public health concern. This study explored the epidemic characteristics and tendency of hepatitis B in 31 provinces of mainland China, constructed a SARIMA model for prediction, and provided corresponding preventive measures. Monthly hepatitis B case data from mainland China from 2013 to 2020 were obtained from the website of the National Health Commission of the People's Republic of China. Monthly data from 2013 to 2020 were used to build the SARIMA model and data from 2021 were used to test the model. Between 2013 and 2020, 9,177,313 hepatitis B cases were reported in mainland China. SARIMA(1,0,0)(0,1,1)12 was the optimal model and its residual was white noise. It was used to predict the number of hepatitis B cases from January to December 2021, and the predicted values for 2021 were within the 95% confidence interval. This study suggests that the SARIMA model simulated well based on epidemiological trends of hepatitis B in mainland China. The SARIMA model is a feasible tool for monitoring hepatitis B virus infections in mainland China. |
format | Online Article Text |
id | pubmed-9276452 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-92764522022-08-01 The research of SARIMA model for prediction of hepatitis B in mainland China Zhao, Daren Zhang, Huiwu Cao, Qing Wang, Zhiyi Zhang, Ruihua Medicine (Baltimore) 4400 Hepatitis B virus infection is a major global public health concern. This study explored the epidemic characteristics and tendency of hepatitis B in 31 provinces of mainland China, constructed a SARIMA model for prediction, and provided corresponding preventive measures. Monthly hepatitis B case data from mainland China from 2013 to 2020 were obtained from the website of the National Health Commission of the People's Republic of China. Monthly data from 2013 to 2020 were used to build the SARIMA model and data from 2021 were used to test the model. Between 2013 and 2020, 9,177,313 hepatitis B cases were reported in mainland China. SARIMA(1,0,0)(0,1,1)12 was the optimal model and its residual was white noise. It was used to predict the number of hepatitis B cases from January to December 2021, and the predicted values for 2021 were within the 95% confidence interval. This study suggests that the SARIMA model simulated well based on epidemiological trends of hepatitis B in mainland China. The SARIMA model is a feasible tool for monitoring hepatitis B virus infections in mainland China. Lippincott Williams & Wilkins 2022-06-10 /pmc/articles/PMC9276452/ /pubmed/35687775 http://dx.doi.org/10.1097/MD.0000000000029317 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) |
spellingShingle | 4400 Zhao, Daren Zhang, Huiwu Cao, Qing Wang, Zhiyi Zhang, Ruihua The research of SARIMA model for prediction of hepatitis B in mainland China |
title | The research of SARIMA model for prediction of hepatitis B in mainland China |
title_full | The research of SARIMA model for prediction of hepatitis B in mainland China |
title_fullStr | The research of SARIMA model for prediction of hepatitis B in mainland China |
title_full_unstemmed | The research of SARIMA model for prediction of hepatitis B in mainland China |
title_short | The research of SARIMA model for prediction of hepatitis B in mainland China |
title_sort | research of sarima model for prediction of hepatitis b in mainland china |
topic | 4400 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9276452/ https://www.ncbi.nlm.nih.gov/pubmed/35687775 http://dx.doi.org/10.1097/MD.0000000000029317 |
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