Novel statistics predict the COVID-19 pandemic could terminate in 2022

被引:37
作者
Chen, Ji-Ming [1 ]
机构
[1] Foshan Univ, Sch Life Sci & Engn, Foshan 528225, Peoples R China
关键词
case fatality rate; COVID-19; pandemic; prediction mortality; statistics; SEASONAL INFLUENZA;
D O I
10.1002/jmv.27661
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Many people want to know when the COVID-19 pandemic will end and life will return to normal. This question is highly elusive and distinct predictions have been proposed. In this study, the global mortality and case fatality rate of COVID-19 were analyzed using nonlinear regression. The analysis showed that the COVID-19 pandemic could terminate in 2022, but COVID-19 could be one or two times more deadly than seasonal influenza by 2023. The prediction considered the possibility of the emergence of new variants of SARS-CoV-2 and was supported by the features of the Omicron variant and other facts. As the herd immunity against COVID-19 established through natural infections and mass vaccination is distinct among countries, COVID-19 could be more or less deadly in some countries in the coming years than the prediction. Although the future of COVID-19 will have multiple possibilities, this statistics-based prediction could aid to make proper decisions and establish an example on the prediction of infectious diseases.
引用
收藏
页码:2845 / 2848
页数:4
相关论文
共 18 条
[1]  
Centers for Disease Control and Preventions, 2022, DIS BURD INFL
[2]   Potential for elimination of SAR-CoV-2 through vaccination as inspired by elimination of multiple influenza viruses through natural pandemics or mass vaccination [J].
Chen, Ji-Ming ;
Sun, Ying-Xue ;
Chen, Ji-Wang .
JOURNAL OF MEDICAL VIROLOGY, 2020, 92 (11) :2453-2457
[3]   Graphene-wrapped MnCO3/Mn3O4 nanocomposite as an advanced anode material for lithium-ion batteries: Synergistic effect and electrochemical performances [J].
Chen, Jingqi ;
Hu, Xianlei ;
Gao, Haitao ;
Yan, Shu ;
Chen, Shoudong ;
Liu, Xianghua .
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY, 2022, 99 :9-17
[4]  
Davis A., COVID 19 WHEN EXPERT
[5]  
Department of Economic and Social Affairs Economic Analysis of United Nations, 2020, LONG TERM IMP COVID
[6]   Modeling and forecasting the COVID-19 pandemic time-series data [J].
Doornik, Jurgen A. ;
Castle, Jennifer L. ;
Hendry, David F. .
SOCIAL SCIENCE QUARTERLY, 2021, 102 (05) :2070-2087
[7]   Estimates of global seasonal influenza-associated respiratory mortality: a modelling study [J].
Iuliano, A. Danielle ;
Roguski, Katherine M. ;
Chang, Howard H. ;
Muscatello, David J. ;
Palekar, Rakhee ;
Tempia, Stefano ;
Cohen, Cheryl ;
Gran, Jon Michael ;
Schanzer, Dena ;
Cowling, Benjamin J. ;
Wu, Peng ;
Kyncl, Jan ;
Ang, Li Wei ;
Park, Minah ;
Redlberger-Fritz, Monika ;
Yu, Hongjie ;
Espenhain, Laura ;
Krishnan, Anand ;
Emukule, Gideon ;
van Asten, Liselotte ;
da Silva, Susana Pereira ;
Aungkulanon, Suchunya ;
Buchholz, Udo ;
Widdowson, Marc-Alain ;
Bresee, Joseph S. ;
Azziz-Baumgartner, Eduardo ;
Cheng, Po-Yung ;
Dawood, Fatimah ;
Foppa, Ivo ;
Olsen, Sonja ;
Haber, Michael ;
Jeffers, Caprichia ;
MacIntyre, C. Raina ;
Newall, Anthony T. ;
Wood, James G. ;
Kundi, Michael ;
PopowKraupp, Therese ;
Ahmed, Makhdum ;
Rahman, Mahmudur ;
Marinho, Fatima ;
Sotomayor Proschle, C. Viviana ;
Vergara Mallegas, Natalia ;
Feng, Luzhao ;
Sa, Li ;
Barbosa-Ramirez, Juliana ;
Malo Sanchez, Diana ;
Abarca Gomez, Leandra ;
Badilla Vargas, Xiomara ;
Acosta Herrera, Betsy ;
Josefa Llanes, Maria .
LANCET, 2018, 391 (10127) :1285-1300
[8]   Protective immunity after recovery from SARS-CoV-2 infection [J].
Kojima, Noah ;
Klausner, Jeffrey D. .
LANCET INFECTIOUS DISEASES, 2022, 22 (01) :12-14
[9]   Immunological characteristics govern the transition of COVID-19 to endemicity [J].
Lavine, Jennie S. ;
Bjornstad, Ottar N. ;
Antia, Rustom .
SCIENCE, 2021, 371 (6530) :741-+
[10]  
Lee K, 2009, GLOB INST, P1