A modelling analysis of the effectiveness of second wave COVID-19 response strategies in Australia

被引:0
作者
George J. Milne
Simon Xie
Dana Poklepovich
Dan O’Halloran
Matthew Yap
David Whyatt
机构
[1] University of Western Australia,Department of Computer Science and Software Engineering
[2] University of Western Australia,School of Medicine
[3] Queensland Government,Department of Health
来源
Scientific Reports | / 11卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
There is a significant challenge in responding to second waves of COVID-19 cases, with governments being hesitant in introducing hard lockdown measures given the resulting economic impact. In addition, rising case numbers reflect an increase in coronavirus transmission some time previously, so timing of response measures is highly important. Australia experienced a second wave from June 2020 onwards, confined to greater Melbourne, with initial social distancing measures failing to reduce rapidly increasing case numbers. We conducted a detailed analysis of this outbreak, together with an evaluation of the effectiveness of alternative response strategies, to provide guidance to countries experiencing second waves of SARS-Cov-2 transmission. An individual-based transmission model was used to (1) describe a second-wave COVID-19 epidemic in Australia; (2) evaluate the impact of lockdown strategies used; and (3) evaluate effectiveness of alternative mitigation strategies. The model was calibrated using daily diagnosed case data prior to lockdown. Specific social distancing interventions were modelled by adjusting person-to-person contacts in mixing locations. Modelling earlier activation of lockdown measures are predicted to reduce total case numbers by more than 50%. Epidemic peaks and duration of the second wave were also shown to reduce. Our results suggest that activating lockdown measures when second-wave case numbers first indicated exponential growth, would have been highly effective in reducing COVID-19 cases. The model was shown to realistically predict the epidemic growth rate under the social distancing measures applied, validating the methods applied. The timing of social distancing activation is shown to be critical to their effectiveness. Data showing exponential rise in cases, doubling every 7–10 days, can be used to trigger early lockdown measures. Such measures are shown to be necessary to reduce daily and total case numbers, and the consequential health burden, so preventing health care facilities being overwhelmed. Early control of second wave resurgence potentially permits strict lockdown measures to be eased earlier.
引用
收藏
相关论文
共 50 条
  • [31] Differentiating COVID-19 Response Strategies
    Liao, Huipeng
    Zhang, Lei
    Marley, Gifty
    Tang, Weiming
    INNOVATION, 2020, 1 (01):
  • [32] Afghanistan braced for second wave of COVID-19
    Cousins, Sophie
    LANCET, 2020, 396 (10264) : 1716 - 1717
  • [33] Modelling the first wave of COVID-19 in India
    Hazra, Dhiraj Kumar
    Pujari, Bhalchandra S.
    Shekatkar, Snehal M.
    Mozaffer, Farhina
    Sinha, Sitabhra
    Guttal, Vishwesha
    Chaudhuri, Pinaki
    Menon, Gautam, I
    PLOS COMPUTATIONAL BIOLOGY, 2022, 18 (10)
  • [34] Response strategies for COVID-19 epidemics in African settings: a mathematical modelling study
    van Zandvoort, Kevin
    Jarvis, Christopher I.
    Pearson, Carl A. B.
    Davies, Nicholas G.
    Ratnayake, Ruwan
    Russell, Timothy W.
    Kucharski, Adam J.
    Jit, Mark
    Flasche, Stefan
    Eggo, Rosalind M.
    Checchi, Francesco
    BMC MEDICINE, 2020, 18 (01)
  • [35] Analysis of the mitigation strategies for COVID-19: From mathematical modelling perspective
    Kassa, Semu M.
    Njagarah, John B. H.
    Terefe, Yibeltal A.
    CHAOS SOLITONS & FRACTALS, 2020, 138
  • [36] Analysis of the second wave of COVID-19 in India based on SEIR model
    Gopal, R.
    Chandrasekar, V. K.
    Lakshmanan, M.
    EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS, 2022, 231 (18-20) : 3453 - 3460
  • [37] Cytometric analysis of patients with COVID-19: what is changed in the second wave?
    Scalia, Giulia
    Raia, Maddalena
    Gelzo, Monica
    Cacciapuoti, Sara
    De Rosa, Annunziata
    Pinchera, Biagio
    Scotto, Riccardo
    Giaccone, Agnese
    Mormile, Mauro
    Fabbrocini, Gabriella
    Gentile, Ivan
    Parrella, Roberto
    Castaldo, Giuseppe
    JOURNAL OF TRANSLATIONAL MEDICINE, 2021, 19 (01)
  • [38] MODELLING THE DELTA COVID-19 WAVE IN MUMBAI
    Juneja, Sandeep
    Mittal, Daksh
    2022 WINTER SIMULATION CONFERENCE (WSC), 2022, : 581 - 592
  • [39] Response strategies for COVID-19 epidemics in African settings: a mathematical modelling study
    Kevin van Zandvoort
    Christopher I. Jarvis
    Carl A. B. Pearson
    Nicholas G. Davies
    Ruwan Ratnayake
    Timothy W. Russell
    Adam J. Kucharski
    Mark Jit
    Stefan Flasche
    Rosalind M. Eggo
    Francesco Checchi
    BMC Medicine, 18
  • [40] Cytometric analysis of patients with COVID-19: what is changed in the second wave?
    Giulia Scalia
    Maddalena Raia
    Monica Gelzo
    Sara Cacciapuoti
    Annunziata De Rosa
    Biagio Pinchera
    Riccardo Scotto
    Agnese Giaccone
    Mauro Mormile
    Gabriella Fabbrocini
    Ivan Gentile
    Roberto Parrella
    Giuseppe Castaldo
    Journal of Translational Medicine, 19