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10.1016/j.idh.2020.05.003

http://scihub22266oqcxt.onion/10.1016/j.idh.2020.05.003
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32507662!7250769!32507662
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suck abstract from ncbi


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pmid32507662      Infect+Dis+Health 2020 ; 25 (4): 242-244
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  • Quantifying what could have been - The impact of the Australian and New Zealand governments response to COVID-19 #MMPMID32507662
  • Varghese C; Xu W
  • Infect Dis Health 2020[Nov]; 25 (4): 242-244 PMID32507662show ga
  • BACKGROUND: The Australian and New Zealand governments both initiated strict social distancing measures in response to the COVID-19 pandemic in late March. It remains difficult to quantify the impact this had in reducing the spread of the virus. METHODS: Bayesian structural time series model provide a model to quantify the scenario in which these government-level interventions were not placed. Our models predict these strict social distancing measures caused a 79% and 61% reduction in the daily cases of COVID-19 across Australia and New Zealand respectively. CONCLUSION: This provides both evidence and impetus for governments considering similar measures in response to COVID-19 and other pandemics.
  • |*Government[MESH]
  • |Australia/epidemiology[MESH]
  • |Bayes Theorem[MESH]
  • |Betacoronavirus/isolation & purification[MESH]
  • |COVID-19[MESH]
  • |Communicable Disease Control/legislation & jurisprudence/*organization & administration/standards[MESH]
  • |Coronavirus Infections/epidemiology/*prevention & control/transmission[MESH]
  • |Health Education[MESH]
  • |Humans[MESH]
  • |New Zealand/epidemiology[MESH]
  • |Pandemics/*prevention & control[MESH]
  • |Personal Protective Equipment[MESH]
  • |Pneumonia, Viral/epidemiology/*prevention & control/transmission[MESH]
  • |Psychological Distance[MESH]


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