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Global Health Economics and
            Sustainability
                                                                                Assessing Vietnam’s pandemic lockdown


            Consequently, local authorities were not able to intervene   health interventions: A  tutorial.  International Journal of
            in a timely manner to prevent further spread. As a result,   Epidemiology, 46(1):348-355.
            by the end of the study period, some provinces in this      https://doi.org/10.1093/ije/dyw098
            region were unable to control the pandemic, and infection
            rates rose significantly.                          Busch, C., Ludwig, A., & Santaeulàlia-Llopis, R. (2020). Emerging
                                                                  Evidence of a Silver Lining: A  Ridge Walk to Avoid an
              Finally, future research could extend the study period   Economic Catastrophe in Italy and Spain (Working Paper
            to a later stage when the vaccination strategy becomes   No. 67). SAFE White Paper.
            effective. With this approach, the number of new confirmed   Cook, T.D., Campbell, D.T., & Shadish, W. (2002). Experimental
            cases may no longer be a valid outcome variable; instead,   and Quasi-experimental Designs for Generalized Causal
            further research could use the number of severe infections   Inference. United States: Houghton Mifflin.
            or deaths as an outcome measure to assess effectiveness.   Dong, E., Du, H., & Gardner, L. (2020). An interactive web-based
            Additionally, future studies could employ the ITS model to   dashboard to track COVID-19 in real time.  The Lancet
            assess the effectiveness of other policy interventions, such   Infectious Diseases, 20(5):533-534.
            as the decision to care for F0 and F1 quarantine patients
            at home or the stratification of COVID-19  patients for      https://doi.org/10.1016/S1473-3099(20)30120-1
            hospitalization.                                   Durbin, J., & Watson, G.S. (1950). Testing for serial correlation
                                                                  in least squares regression: I. Biometrika, 37(3/4):409-428.
            Acknowledgments
                                                                  https://doi.org/10.2307/2332391
            None.                                              Hale, T., Angrist, N., Goldszmidt, R., Kira, B., Petherick,  A.,

            Funding                                               Phillips, T.,  et al. (2021). A  global panel database of
                                                                  pandemic policies (Oxford COVID-19 Government
            None.                                                 Response Tracker). Nature Human Behaviour, 5(4):529-538.

            Conflict of interest                                  https://doi.org/10.1038/s41562-021-01079-8
                                                               Harrer, M., Cuijpers, P., Furukawa, T., & Ebert, D.D. (2021).
            The authors declare that they have no conflicts of interest.  Doing Meta-Analysis with R: A  Hands-on Guide. 1   ed.
                                                                                                          st
                                                                  United States: Chapman and Hall/CRC Press.
            Author contributions
                                                               Haug, N., Geyrhofer, L., Londei, A., Dervic, E., Desvars-
            Conceptualization: Duy-Ha Lai                         Larrive,  A., Loreto, V., et al. (2020). Ranking the effectiveness
            Investigation: Duy-Ha Lai                             of worldwide COVID-19 government interventions. Nature
            Methodology: Duy-Ha Lai, Thai-Ha Le                   Human Behaviour, 4(12):1303-1312.
            Writing – original draft: All authors                 https://doi.org/10.1038/s41562-020-01009-0
            Writing – review & editing: Thai-Ha Le, Binh Tran- Nam
                                                               Islam, N., Sharp, S.J., Chowell, G., Shabnam, S., Kawachi, I.,
            Ethics approval and consent to participate            Lacey, B., et al. (2020). Physical distancing interventions and
                                                                  incidence of coronavirus disease 2019: Natural experiment
            Not applicable.                                       in 149 countries. BMJ, 370:m2743.

            Consent for publication                               https://doi.org/10.1136/bmj.m2743
            Not applicable.                                    Jonathan, T. (2009). About Statsmodels. Available from: https://
                                                                  www.statsmodels.org [Last accessed on 2024 May 18].
            Availability of data                               Jones, R.M., & Adida, E. (2013). Selecting nonpharmaceutical

            Data used in this work are available from the corresponding   interventions for influenza. Risk Analysis, 33(8):1473-1488.
            author upon reasonable request.                       https://doi.org/10.1111/risa.12024

            References                                         Le, T.A.T., Vodden, K., Wu, J., & Atiwesh, G. (2021). Policy
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            Volume 2 Issue 4 (2024)                         13                       https://doi.org/10.36922/ghes.3423
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