AccScience Publishing / GHES / Volume 2 / Issue 4 / DOI: 10.36922/ghes.3423
ORIGINAL RESEARCH ARTICLE

Effectiveness of the lockdown policy in Vietnam during the COVID-19 pandemic

Duy-Ha Lai1 Thai-Ha Le2,3* Binh Tran-Nam4
Show Less
1 Fulbright School of Public Policy and Management, Fulbright University Vietnam, Ho Chi Minh City, Vietnam
2 VinFuture Foundation, Hanoi, Vietnam
3 IPAG Business School, Paris, France
4 School of Accounting, Auditing and Taxation, UNSW School of Business, University of New South Wales (UNSW Sydney), Sydney, New South Wales, Australia
Submitted: 15 April 2024 | Accepted: 29 May 2024 | Published: 22 August 2024
© 2024 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

In response to the COVID-19 pandemic, in the absence of vaccines and effective treatments, governments worldwide have implemented lockdown policies as non-pharmaceutical interventions to flatten the infection curve. This study evaluates the effectiveness of containment policies implemented at the local level in Vietnam. Data were synthesized from 143 policy interventions across 49 provinces and centrally run cities from April 27 to October 1, 2021, and an interrupted time series (ITS) analysis was used to estimate the effectiveness of each intervention. A random-effects meta-analysis was then conducted to combine the results based on different criteria. This analysis found that Directives No.15/CT-TTg and No.16/CT-TTg were successfully implemented in the provinces of Northern Midlands and Mountains, Red River Delta, North Central, Central Coastline, and Central Highlands. However, these directives were less effective when employed in the Southeast and the Mekong Delta areas. Furthermore, the ITS analysis indicates that Ho Chi Minh City and provinces in the Southeast region implemented stringent lockdown directives later than other regions, leading to the loss of control over the pandemic during the study period. In-depth studies on lockdown interventions could provide valuable insights for policymakers in managing future outbreaks, particularly considering the time required for the development of vaccines and drugs.

Keywords
COVID-19
Social distancing
Interrupted time series
Vietnam
Funding
None.
Conflict of interest
The authors declare that they have no conflicts of interest.
References

Alfano, V., & Ercolano, S. (2020). The efficacy of lockdown against COVID-19: A cross-country panel analysis. Applied Health Economics and Health Policy. 18(4):509-517. https://doi.org/10.1007/s40258-020-00596-3

 

Bernal, J.L., Cummins, S., & Gasparrini, A. (2017). Interrupted time series regression for the evaluation of public health interventions: A tutorial. International Journal of Epidemiology, 46(1):348-355. https://doi.org/10.1093/ije/dyw098

 

Busch, C., Ludwig, A., & Santaeulàlia-Llopis, R. (2020). Emerging Evidence of a Silver Lining: A Ridge Walk to Avoid an Economic Catastrophe in Italy and Spain (Working Paper No. 67). SAFE White Paper.

 

Cook, T.D., Campbell, D.T., & Shadish, W. (2002). Experimental and Quasi-experimental Designs for Generalized Causal Inference. United States: Houghton Mifflin.

 

Dong, E., Du, H., & Gardner, L. (2020). An interactive web-based dashboard to track COVID-19 in real time. The Lancet Infectious Diseases, 20(5):533-534. https://doi.org/10.1016/S1473-3099(20)30120-1

 

Durbin, J., & Watson, G.S. (1950). Testing for serial correlation in least squares regression: I. Biometrika, 37(3/4):409-428. https://doi.org/10.2307/2332391

 

Hale, T., Angrist, N., Goldszmidt, R., Kira, B., Petherick, A., Phillips, T., et al. (2021). A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker). Nature Human Behaviour, 5(4):529-538. https://doi.org/10.1038/s41562-021-01079-8

 

Harrer, M., Cuijpers, P., Furukawa, T., & Ebert, D.D. (2021). Doing Meta-Analysis with R: A Hands-on Guide. 1st ed. United States: Chapman and Hall/CRC Press.

 

Haug, N., Geyrhofer, L., Londei, A., Dervic, E., Desvars- Larrive, A., Loreto, V., et al. (2020). Ranking the effectiveness of worldwide COVID-19 government interventions. Nature Human Behaviour, 4(12):1303-1312. https://doi.org/10.1038/s41562-020-01009-0

 

Islam, N., Sharp, S.J., Chowell, G., Shabnam, S., Kawachi, I., Lacey, B., et al. (2020). Physical distancing interventions and incidence of coronavirus disease 2019: Natural experiment in 149 countries. BMJ, 370:m2743. https://doi.org/10.1136/bmj.m2743

 

Jonathan, T. (2009). About Statsmodels. Available from: https:// www.statsmodels.org [Last accessed on 2024 May 18].

 

Jones, R.M., & Adida, E. (2013). Selecting nonpharmaceutical interventions for influenza. Risk Analysis, 33(8):1473-1488. https://doi.org/10.1111/risa.12024

 

Le, T.A.T., Vodden, K., Wu, J., & Atiwesh, G. (2021). Policy responses to the COVID-19 pandemic in Vietnam. International Journal of Environmental Research and Public Health, 18(2):559. https://doi.org/10.3390/ijerph18020559

 

Matplotlib. (2021). Matplotlib-Visualization with Python. Available from: https://matplotlib.org [Last accessed on 2024 May 18].

 

Minh, L.H.N., Khoi Quan, N., Le, T.N., Khanh, P.N.Q., & Huy, N.T. (2021). COVID-19 timeline of Vietnam: Important milestones through four waves of the pandemic and lesson learned. Frontiers in Public Health, 9:709067. https://doi.org/10.3389/fpubh.2021.709067

 

Monto, A.S. (2006). Vaccines and antiviral drugs in pandemic preparedness. Emerging Infectious Diseases, 12(1):55-60. https://doi.org/10.3201/eid1201.051068

 

Nguyen, T.V., Tran, Q.D., Phan, L.T., Vu, L.N., Truong, D.T.T., Truong, H.C., et al. (2021). In the interest of public safety: Rapid response to the COVID-19 epidemic in Vietnam. BMJ Global Health, 6(1):e004100. https://doi.org/10.1136/bmjgh-2020-004100

 

Pham, M.C. (2021). Việt Nam to Stay on Dual-Target Virus Strategy. Available from: https://vietnamnews.vn/ economy/1048671/viet-nam-to-stay-on-dual-target-virus-strategy.html [Last accessed on 2022 May 30].

 

Python.org. (2016). Python Software Foundation. Available from: https://www.python.org [Last accessed on 2022 May 18].

 

R Core Team. (2018). R: The R Project for Statistical Computing. Available from: https://www.r-project.org [Last accessed on 2022 May 18].

 

Schaffer, A.L., Dobbins, T.A., & Pearson, S.A. (2021). Interrupted time series analysis using autoregressive integrated moving average (ARIMA) models: A guide for evaluating large-scale health interventions. BMC Medical Research Methodology, 21(1):58. https://doi.org/10.1186/s12874-021-01235-8

 

Siedner, M.J., Harling, G., Reynolds, Z., Gilbert, R.F., Haneuse, S., Venkataramani, A.S., et al. (2020). Social distancing to slow the US COVID-19 epidemic: Longitudinal pretest-posttest comparison group study. PLoS Medicine, 17(8):e1003244. https://doi.org/10.1371/journal.pmed.1003244

 

Silva, L., Figueiredo Filho, D., & Fernandes, A. (2020). The effect of lockdown on the COVID-19 epidemic in Brazil: Evidence from an interrupted time series design. Cadernos De Saude Publica, 36(10):e00213920. https://doi.org/10.1590/0102-311x00213920

 

Thayer, W.M., Hasan, M.Z., Sankhla, P., & Gupta, S. (2021). An interrupted time series analysis of the lockdown policies in India: A national-level analysis of COVID-19 incidence. Health Policy and Planning, 36(5):620-629. https://doi.org/10.1093/heapol/czab048

 

The Government Office. (2021). Nghị Quyết số 128/NQ-CP Của Chính Phủ: Ban Hành quy Định tạm Thời “Thích ứng an Toàn, Linh Hoạt, Kiểm Soát Hiệu Quả Dịch COVID-19. Available from: https://vanban.chinhphu. vn/?pageid=27160&docid=204272 [Last accessed on 2022 May 30].

 

The People’s Committee of HCM City. (2021). 18/CT-UBND Tiếp Tục Kiểm soát, điều Chỉnh Các Biện Pháp Phòng, Chống Dịch COVID-19 Và Từng Bước Phục Hồi, Phát Triển Kinh tế-Xã Hội Trên Địa Bàn Thành Phố Hồ Chí Minh. Available from: https://thuvienphapluat.vn/van-ban/ Thuong-mai/Chi-thi-18-CT-UBND-2021-kiem-soat-dieu-chinh-bien-phap-phong-chong-dich-COVID19-Ho-Chi- Minh-489736.aspx [Last accessed on 2022 May 30].

 

The Prime Minister. (2021). Công văn số 969/TTg-KGVX của Thủ tướng Chính Phủ: V/v Thực Hiện Giãn Cách xã hội Phòng, Chống Dịch tại một số Địa Phương. Available from: https://vanban.chinhphu.vn/default. aspx?pageid=27160&docid=203676 [Last accessed on 2022 May 30].

 

Tobías, A. (2020). Evaluation of the lockdowns for the SARS-CoV-2 epidemic in Italy and Spain after one month follow-up. The Science of the Total Environment, 725:138539. https://doi.org/10.1016/j.scitotenv.2020.138539

 

Tran, T.P.T., Le, T.H., Nguyen, T.N.P., & Hoang, V.M. (2020). Rapid response to the COVID-19 pandemic: Vietnam government’s experience and preliminary success. Journal of Global Health, 10(2):020502. https://doi.org/10.7189/jogh.10.020502

 

Wagner, A.K., Soumerai, S.B., Zhang, F., & Ross-Degnan, D. (2002). Segmented regression analysis of interrupted time series studies in medication use research. Journal of Clinical Pharmacy and Therapeutics, 27(4):299-309. https://doi.org/10.1046/j.1365-2710.2002.00430.x

Share
Back to top
Global Health Economics and Sustainability, Electronic ISSN: 2972-4570 Published by AccScience Publishing