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CUSUM Residual Charts for Monitoring Enterovirus Infections
We consider the syndromic surveillance problem for enterovirus (EV) like cases. The data used in this study are the daily counts of EV-like cases sampled from the National Health Insurance Research Database in Taiwan. To apply the CUSUM procedure for syndromic surveillance, a regression model with t...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7120131/ http://dx.doi.org/10.1007/978-981-4451-98-7_104 |
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author | Chen, Huifen Chen, Yu |
author_facet | Chen, Huifen Chen, Yu |
author_sort | Chen, Huifen |
collection | PubMed |
description | We consider the syndromic surveillance problem for enterovirus (EV) like cases. The data used in this study are the daily counts of EV-like cases sampled from the National Health Insurance Research Database in Taiwan. To apply the CUSUM procedure for syndromic surveillance, a regression model with time-series error-term is used. Our results show that the CUSUM chart is helpful to detect abnormal increases of the visit frequency. |
format | Online Article Text |
id | pubmed-7120131 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
record_format | MEDLINE/PubMed |
spelling | pubmed-71201312020-04-06 CUSUM Residual Charts for Monitoring Enterovirus Infections Chen, Huifen Chen, Yu Proceedings of the Institute of Industrial Engineers Asian Conference 2013 Article We consider the syndromic surveillance problem for enterovirus (EV) like cases. The data used in this study are the daily counts of EV-like cases sampled from the National Health Insurance Research Database in Taiwan. To apply the CUSUM procedure for syndromic surveillance, a regression model with time-series error-term is used. Our results show that the CUSUM chart is helpful to detect abnormal increases of the visit frequency. 2013-07-12 /pmc/articles/PMC7120131/ http://dx.doi.org/10.1007/978-981-4451-98-7_104 Text en © Springer Science+Business Media Singapore 2013 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Chen, Huifen Chen, Yu CUSUM Residual Charts for Monitoring Enterovirus Infections |
title | CUSUM Residual Charts for Monitoring Enterovirus Infections |
title_full | CUSUM Residual Charts for Monitoring Enterovirus Infections |
title_fullStr | CUSUM Residual Charts for Monitoring Enterovirus Infections |
title_full_unstemmed | CUSUM Residual Charts for Monitoring Enterovirus Infections |
title_short | CUSUM Residual Charts for Monitoring Enterovirus Infections |
title_sort | cusum residual charts for monitoring enterovirus infections |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7120131/ http://dx.doi.org/10.1007/978-981-4451-98-7_104 |
work_keys_str_mv | AT chenhuifen cusumresidualchartsformonitoringenterovirusinfections AT chenyu cusumresidualchartsformonitoringenterovirusinfections |