1.
Gut
; 71(7): 1444-1447, 2022 07.
Article
in English
| MEDLINE | ID: covidwho-2317607
2.
Pancreatology
; 22:e7, 2022.
Article
in English
| ScienceDirect | ID: covidwho-2120430
3.
Gut
; 71(12): 2602-2605, 2022 12.
Article
in English
| MEDLINE | ID: covidwho-1638706
4.
Infect Dis Health
; 25(4): 242-244, 2020 11.
Article
in English
| MEDLINE | ID: covidwho-382032
ABSTRACT
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.