Cargando…
Trend Analysis and Intervention Effect Starting Point Detection of COVID-19 Epidemics Using Recalibrated Time Series Models — Worldwide, 2020
| Autores principales: | , , , , , , , , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention
2021
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8392971/ https://www.ncbi.nlm.nih.gov/pubmed/34594904 http://dx.doi.org/10.46234/ccdcw2021.112 |
| _version_ | 1783743625911336960 |
|---|---|
| author | Li, Shu Chen, Chen Cao, Shuyin Hu, Kejia Lei, Hao Xu, Xiaolin Wang, Qinchuan Yuan, Changzheng Wang, Sicong Wang, Sisi Jia, Junlin Ye, Yuanqing Wu, Xifeng |
| author_facet | Li, Shu Chen, Chen Cao, Shuyin Hu, Kejia Lei, Hao Xu, Xiaolin Wang, Qinchuan Yuan, Changzheng Wang, Sicong Wang, Sisi Jia, Junlin Ye, Yuanqing Wu, Xifeng |
| author_sort | Li, Shu |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-8392971 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2021 |
| publisher | Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-83929712021-09-29 Trend Analysis and Intervention Effect Starting Point Detection of COVID-19 Epidemics Using Recalibrated Time Series Models — Worldwide, 2020 Li, Shu Chen, Chen Cao, Shuyin Hu, Kejia Lei, Hao Xu, Xiaolin Wang, Qinchuan Yuan, Changzheng Wang, Sicong Wang, Sisi Jia, Junlin Ye, Yuanqing Wu, Xifeng China CDC Wkly Methods and Applications Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention 2021-05-14 /pmc/articles/PMC8392971/ /pubmed/34594904 http://dx.doi.org/10.46234/ccdcw2021.112 Text en Copyright and License information: Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention 2021 https://creativecommons.org/licenses/by-nc-sa/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/ (https://creativecommons.org/licenses/by-nc-sa/4.0/) |
| spellingShingle | Methods and Applications Li, Shu Chen, Chen Cao, Shuyin Hu, Kejia Lei, Hao Xu, Xiaolin Wang, Qinchuan Yuan, Changzheng Wang, Sicong Wang, Sisi Jia, Junlin Ye, Yuanqing Wu, Xifeng Trend Analysis and Intervention Effect Starting Point Detection of COVID-19 Epidemics Using Recalibrated Time Series Models — Worldwide, 2020 |
| title | Trend Analysis and Intervention Effect Starting Point Detection of COVID-19 Epidemics Using Recalibrated Time Series Models — Worldwide, 2020 |
| title_full | Trend Analysis and Intervention Effect Starting Point Detection of COVID-19 Epidemics Using Recalibrated Time Series Models — Worldwide, 2020 |
| title_fullStr | Trend Analysis and Intervention Effect Starting Point Detection of COVID-19 Epidemics Using Recalibrated Time Series Models — Worldwide, 2020 |
| title_full_unstemmed | Trend Analysis and Intervention Effect Starting Point Detection of COVID-19 Epidemics Using Recalibrated Time Series Models — Worldwide, 2020 |
| title_short | Trend Analysis and Intervention Effect Starting Point Detection of COVID-19 Epidemics Using Recalibrated Time Series Models — Worldwide, 2020 |
| title_sort | trend analysis and intervention effect starting point detection of covid-19 epidemics using recalibrated time series models — worldwide, 2020 |
| topic | Methods and Applications |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8392971/ https://www.ncbi.nlm.nih.gov/pubmed/34594904 http://dx.doi.org/10.46234/ccdcw2021.112 |
| work_keys_str_mv | AT lishu trendanalysisandinterventioneffectstartingpointdetectionofcovid19epidemicsusingrecalibratedtimeseriesmodelsworldwide2020 AT chenchen trendanalysisandinterventioneffectstartingpointdetectionofcovid19epidemicsusingrecalibratedtimeseriesmodelsworldwide2020 AT caoshuyin trendanalysisandinterventioneffectstartingpointdetectionofcovid19epidemicsusingrecalibratedtimeseriesmodelsworldwide2020 AT hukejia trendanalysisandinterventioneffectstartingpointdetectionofcovid19epidemicsusingrecalibratedtimeseriesmodelsworldwide2020 AT leihao trendanalysisandinterventioneffectstartingpointdetectionofcovid19epidemicsusingrecalibratedtimeseriesmodelsworldwide2020 AT xuxiaolin trendanalysisandinterventioneffectstartingpointdetectionofcovid19epidemicsusingrecalibratedtimeseriesmodelsworldwide2020 AT wangqinchuan trendanalysisandinterventioneffectstartingpointdetectionofcovid19epidemicsusingrecalibratedtimeseriesmodelsworldwide2020 AT yuanchangzheng trendanalysisandinterventioneffectstartingpointdetectionofcovid19epidemicsusingrecalibratedtimeseriesmodelsworldwide2020 AT wangsicong trendanalysisandinterventioneffectstartingpointdetectionofcovid19epidemicsusingrecalibratedtimeseriesmodelsworldwide2020 AT wangsisi trendanalysisandinterventioneffectstartingpointdetectionofcovid19epidemicsusingrecalibratedtimeseriesmodelsworldwide2020 AT jiajunlin trendanalysisandinterventioneffectstartingpointdetectionofcovid19epidemicsusingrecalibratedtimeseriesmodelsworldwide2020 AT yeyuanqing trendanalysisandinterventioneffectstartingpointdetectionofcovid19epidemicsusingrecalibratedtimeseriesmodelsworldwide2020 AT wuxifeng trendanalysisandinterventioneffectstartingpointdetectionofcovid19epidemicsusingrecalibratedtimeseriesmodelsworldwide2020 |