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Conference Paper/Proceeding/Abstract 448 views

Modelling and Predicting the Dynamics of Confirmed COVID-19 Cases Based on Climate Data

Yuzhi Cai Orcid Logo, Fangzhou Huang Orcid Logo, Jiao Song

Contributions to Statistics, Pages: 105 - 115

Swansea University Authors: Yuzhi Cai Orcid Logo, Fangzhou Huang Orcid Logo

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Published in: Contributions to Statistics
ISBN: 9783031402081 9783031402098
ISSN: 1431-1968
Published: Cham Springer Nature Switzerland 2023
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa61876
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first_indexed 2022-11-10T17:32:40Z
last_indexed 2023-01-27T04:15:55Z
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spelling v2 61876 2022-11-10 Modelling and Predicting the Dynamics of Confirmed COVID-19 Cases Based on Climate Data eff7b8626ab4cc6428eef52516fda7d6 0000-0003-3509-9787 Yuzhi Cai Yuzhi Cai true false 056c3ea10b44f9eb5b15e965119478de 0000-0002-3789-8593 Fangzhou Huang Fangzhou Huang true false 2022-11-10 CBAE Conference Paper/Proceeding/Abstract Contributions to Statistics 105 115 Springer Nature Switzerland Cham 9783031402081 9783031402098 1431-1968 10 11 2023 2023-11-10 10.1007/978-3-031-40209-8_8 COLLEGE NANME Management School COLLEGE CODE CBAE Swansea University Other 2024-06-06T14:57:25.8177778 2022-11-10T17:28:40.9514129 Faculty of Humanities and Social Sciences School of Management - Business Management Yuzhi Cai 0000-0003-3509-9787 1 Fangzhou Huang 0000-0002-3789-8593 2 Jiao Song 3
title Modelling and Predicting the Dynamics of Confirmed COVID-19 Cases Based on Climate Data
spellingShingle Modelling and Predicting the Dynamics of Confirmed COVID-19 Cases Based on Climate Data
Yuzhi Cai
Fangzhou Huang
title_short Modelling and Predicting the Dynamics of Confirmed COVID-19 Cases Based on Climate Data
title_full Modelling and Predicting the Dynamics of Confirmed COVID-19 Cases Based on Climate Data
title_fullStr Modelling and Predicting the Dynamics of Confirmed COVID-19 Cases Based on Climate Data
title_full_unstemmed Modelling and Predicting the Dynamics of Confirmed COVID-19 Cases Based on Climate Data
title_sort Modelling and Predicting the Dynamics of Confirmed COVID-19 Cases Based on Climate Data
author_id_str_mv eff7b8626ab4cc6428eef52516fda7d6
056c3ea10b44f9eb5b15e965119478de
author_id_fullname_str_mv eff7b8626ab4cc6428eef52516fda7d6_***_Yuzhi Cai
056c3ea10b44f9eb5b15e965119478de_***_Fangzhou Huang
author Yuzhi Cai
Fangzhou Huang
author2 Yuzhi Cai
Fangzhou Huang
Jiao Song
format Conference Paper/Proceeding/Abstract
container_title Contributions to Statistics
container_start_page 105
publishDate 2023
institution Swansea University
isbn 9783031402081
9783031402098
issn 1431-1968
doi_str_mv 10.1007/978-3-031-40209-8_8
publisher Springer Nature Switzerland
college_str Faculty of Humanities and Social Sciences
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hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management
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published_date 2023-11-10T14:57:26Z
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