BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
10/13/2023 2:28:02 PM | Browse: 162 | Download: 511
 |
Received |
|
2023-04-26 13:46 |
|
Peer-Review Started |
|
2023-04-26 13:48 |
 |
To Make the First Decision |
|
|
|
Return for Revision |
|
2023-07-27 08:44 |
|
Revised |
|
2023-08-12 14:32 |
|
Second Decision |
|
2023-09-04 02:53 |
|
Accepted by Journal Editor-in-Chief |
|
|
|
Accepted by Executive Editor-in-Chief |
|
2023-09-04 08:32 |
|
Articles in Press |
|
2023-09-04 08:32 |
|
Publication Fee Transferred |
|
|
|
Edit the Manuscript by Language Editor |
|
2023-08-28 13:46 |
|
Typeset the Manuscript |
|
2023-09-08 09:40 |
|
Publish the Manuscript Online |
|
2023-10-13 14:28 |
| ISSN |
2307-8960 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
|
| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
|
| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Infectious Diseases |
| Manuscript Type |
Minireviews |
| Article Title |
Applications of time series analysis in epidemiology: Literature review and our experience during COVID-19 pandemic
|
| Manuscript Source |
Invited Manuscript |
| All Author List |
Latchezar Tomov, Lyubomir Chervenkov, Dimitrina Georgieva Miteva, Hristiana Batselova and Tsvetelina Velikova |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| European Union-NextGenerationEU, Through the National Recovery and Resilience Plan of the Republic of Bulgaria |
BG-RRP-2.004-0008-C01 |
|
| Corresponding Author |
Latchezar Tomov, PhD, Academic Research, Department of Informatics, New Bulgarian University, Montevideo 21 Str, Sofia 1618, Bulgaria. luchesart@gmail.com |
| Key Words |
Time series analysis; Epidemiology; COVID-19; Pandemic; Auto-regressive integrated moving average; Excess mortality; Seroprevalence |
| Core Tip |
Time-series analysis allows us to do easily and, in less time, precise short-term forecasting in novel pandemics by estimating directly from data. These models do not need extensive knowledge of pandemic mechanisms and interactions between peoples, societal structures, and pathogens. Its secondary but equally important role is distinguishing factors contributing to the spread or slowing it down. Of course, the time series analysis approach cannot give a forecast for an end of a pandemic, nor the precise moment of its peak, but it is invaluable for fast response based on sound statistical methodology. |
| Publish Date |
2023-10-13 14:28 |
| Citation |
Tomov L, Chervenkov L, Miteva DG, Batselova H, Velikova T. Applications of time series analysis in epidemiology: Literature review and our experience during COVID-19 pandemic. World J Clin Cases 2023; 11(29): 6974-6983 |
| URL |
https://www.wjgnet.com/2307-8960/full/v11/i29/6974.htm |
| DOI |
https://dx.doi.org/10.12998/wjcc.v11.i29.6974 |
© 2004-2025 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
California Corporate Number: 3537345
