Calculating the Effectiveness of COVID-19 Non-Pharmaceutical Interventions with Interrupted Time Series Analysis via Clustering-Based Counterfactual Country
Author:
Affiliation:
1. DeGroote School of Business, McMaster University, Hamilton, ON L8S 4M4, Canada
Publisher
MDPI
Link
https://www.mdpi.com/2673-4591/39/1/51/pdf
Reference18 articles.
1. Navazi, F., Yuan, Y., and Archer, N. (2022). The effect of the Ontario stay-at-home order on COVID-19 third wave infections including vaccination considerations: An interrupted time series analysis. PLoS ONE, 17.
2. The impact of the social distancing policy on COVID-19 incidence cases and deaths in Iran from february 2020 to january 2021: Insights from an interrupted time series analysis;Saki;Yale J. Biol. Med.,2021
3. Association between Statewide School Closure and COVID-19 Incidence and Mortality in the US;Auger;JAMA-J. Am. Med. Assoc.,2020
4. An interrupted time series analysis of the lockdown policies in India: A national-level analysis of COVID-19 incidence;Thayer;Health Policy Plan.,2021
5. Evaluation of the effect of border closure on COVID-19 incidence rates across nine African countries: An interrupted time series study;Emeto;Trans. R. Soc. Trop. Med. Hyg.,2021
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