[1] WHO. WHO director-general’s opening remarks at the media briefing on COVID-19 - 11 March 2020. World Health Organization. 2020. https://www.who.int/director-general/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---11-march-2020. [2020-3-11].
[2] Liang JY, Liu RB, He W, Zeng ZQ, Wang YQX, Wang BY, et al . Infection rates of 70% of the population observed within 3 weeks after release of COVID-19 restrictions in Macao, China. J Infect 2023 ; 86 ( 4 ): 402 4 .
[3] Zeng ZQ, Qu W, Liu RB, Guan WD, Liang JY, Lin ZJ, et al . Real-time assessment of COVID-19 epidemic in Guangdong Province, China using mathematical models. J Thorac Dis 2023 ; 15 ( 3 ): 1517 22 .
[4] Zhou MZ, Kan MY . The varying impacts of COVID-19 and its related measures in the UK: A year in review. PLoS One 2021 ; 16 ( 9 ): e0257286 .
[5] Elliott P, Bodinier B, Eales O, Wang HW, Haw D, Elliott J, et al . Rapid increase in omicron infections in england during december 2021: REACT-1 study. Science 2022 ; 375 ( 6587 ): 1406 11 .
[6] Kirsebom FCM, Andrews N, Stowe J, Toffa S, Sachdeva R, Gallagher E, et al . COVID-19 vaccine effectiveness against the omicron (BA. 2) variant in England. Lancet Infect Dis 2022 ; 22 ( 7 ): 931 3 .
[7] Okabe Y, Shudo A . Microscopic numerical simulations of epidemic models on networks. Mathematics 2021 ; 9 ( 9 ): 932 .
[8] Huang AQ, Liu XJ, Rao CR, Zhang Y, He YF . A new container throughput forecasting paradigm under COVID-19. Sustainability, 2022 ; 14 ( 5 ): 2990 .
[9] Dong R, Ni SW, Ikuno S . Nonlinear frequency analysis of COVID-19 spread in Tokyo using empirical mode decomposition. Sci Rep 2022 ; 12 ( 1 ): 2175 .
[10] Saâdaoui F, Mefteh-Wali S, Ben Jabeur S . Multiresolutional statistical machine learning for testing interdependence of power markets: a Variational Mode Decomposition-based approach. Expert Syst Appl 2022 ; 208 : 118161 .
[11] Qu W, Chui CK, Deng GT, Qian T . Sparse representation of approximation to identity. Anal Appl 2022 ; 20 ( 4 ): 815 37 .
[12] Qian T, Zhang Y, Liu WQ, Qu W . Adaptive Fourier decomposition-type sparse representations versus the Karhunen-Loève expansion for decomposing stochastic processes. Math Methods Appl Sci 2023 ; 46 ( 13 ): 14007 25 .
[13] Lu GB, Yang ZF, Qu W, Qian T, Liu ZG, He W, et al . Daily fluctuations in COVID-19 infection rates under Tokyo's epidemic prevention measures–new evidence from adaptive Fourier decomposition. Front Public Health 2023 ; 11 : 1245572 .
[14] Qian T, Zhang LM, Li ZX . Algorithm of adaptive fourier decomposition. IEEE Trans Signal Process, 2011 ; 59 ( 12 ): 5899 906 .
[15] Qian T, Wang YB . Adaptive Fourier series – a variation of greedy algorithm. Adv Comput Math 2011 ; 34 ( 3 ): 279 93 .
[16] Qian T, Wang JZ, Mai WX . An enhancement algorithm for cyclic adaptive fourier decomposition. Appl Comput Harmon Anal 2019 ; 47 ( 2 ): 516 25 .
[17] Qian T . Two-dimensional adaptive fourier decomposition. Math Methods Appl Sci 2016 ; 39 ( 10 ): 2431 48 .
[18] Qian T . Sparse representations of random signals. Math Methods Appl Sci 2022 ; 45 ( 8 ): 4210 30 .
[19] Hon C, Liu ZG, Qian T, Qu W, Zhao JM. Trends by adaptive fourier decomposition and application in prediction. Int J Wavelets Multiresolut Inf Process. http://dx.doi.org/10.1142/S0219691324500140.
[20] Qu W, Qian T, Deng GT . A stochastic sparse representation: n-best approximation to random signals and computation. Appl Comput Harmon Anal 2021 ; 55 : 185 98 .
[21] Pearson K . VII. Note on regression and inheritance in the case of two parents. Proc Roy Soc London 1895 ; 58 ( 347-352 ): 240 2 .
[22] Tartof SY, Slezak JM, Fischer H, Hong V, Ackerson BK, Ranasinghe ON, et al . Effectiveness of mRNA BNT162b2 COVID-19 vaccine up to 6 months in a large integrated health system in the USA: a retrospective cohort study. Lancet 2021 ; 398 ( 10309 ): 1407 16 .
[23] Ghosh A, Nundy S, Ghosh S, Mallick TK . Study of COVID-19 pandemic in London (UK) from urban context. Cities 2020 ; 106 : 102928 .
[24] Jarvis CI, Van Zandvoort K, Gimma A, Prem K, CMMID COVID-19 working group, Klepac P, et al . Quantifying the impact of physical distance measures on the transmission of COVID-19 in the UK. BMC Med 2020 ; 18 ( 1 ): 124 .
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