ArticleHealth policy and planning2021
An interrupted time series analysis of the lockdown policies in India: a national-level analysis of COVID-19 incidence.
Article in Health policy and planning, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 4 of them syntheses that pooled it.
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Who cites it
19 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Pooled it
- Effectiveness of social distancing measures and lockdowns for reducing transmission of COVID-19 in non-healthcare, community-based settings.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2023Pooled it
- Impacts of new cycle infrastructure on cycling levels in two French cities: an interrupted time series analysis.The international journal of behavioral nutrition and physical activity · 2022Pooled it
- Effectiveness of public health measures in reducing the incidence of covid-19, SARS-CoV-2 transmission, and covid-19 mortality: systematic review and meta-analysis.BMJ (Clinical research ed.) · 2021Pooled it
- Real-Time Physical Activity Self-Monitoring in Patients Hospitalized for Cardiology Care: Interrupted Time Series Analysis.JMIR cardio · 2026Article
- Impact of regional digital transformation on public health: an empirical analysis based on 31 provinces in China.BMC public health · 2025Article
- Epidemic outcomes following government responses to COVID-19: Insights from nearly 100,000 models.Science advances · 2024Article
- Changes in the number of new takeaway food outlets associated with adoption of management zones around schools: A natural experimental evaluation in England.SSM - population health · 2024Article
- Analysis of SARS-CoV-2 genome evolutionary patterns.Microbiology spectrum · 2024Article
- The road to recovery: impact of COVID-19 on healthcare utilization in South Korea in 2016-2022 using an interrupted time-series analysis.The Lancet regional health. Western Pacific · 2023Article
- Using a Bayesian hierarchical approach to study the association between non-pharmaceutical interventions and the spread of Covid-19 in Germany.Scientific reports · 2023Article
- Go To Travel campaign and the geographic spread of COVID-19 in Japan.BMC infectious diseases · 2022Article
- Are High-Altitude Residents More Susceptible to Covid-19 in India? Findings and Potential Implications for Research and Policy.International journal of health services : planning, administration, evaluation · 2022Article
- Article
- Sustaining surveillance as an intervention during the COVID-19 pandemic in Cabo Verde and implications for malaria elimination.Frontiers in immunology · 2022Article
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- Article
- Integrated health service delivery during COVID-19: a scoping review of published evidence from low-income and lower-middle-income countries.BMJ global health · 2021Article
- Is Social Distancing Policy Effective in Controlling COVID-19? An Interrupted Time Series Analysis.Archives of academic emergency medicine · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
India implemented a national mandatory lockdown policy (Lockdown 1.0) on 24 March 2020 in response to Coronavirus Disease 2019 (COVID-19). The policy was revised in three subsequent stages (Lockdown 2.0-4.0 between 15 April to 18 May 2020), and restrictions were lifted (Unlockdown 1.0) on 1 June 2020. This study evaluated the effect of lockdown policy on the COVID-19 incidence rate at the national level to inform policy response for this and future pandemics. We conducted an interrupted time series analysis with a segmented regression model using publicly available data on daily reported new COVID-19 cases between 2 March 2020 and 1 September 2020. National-level data from Google Community Mobility Reports during this timeframe were also used in model development and robustness checks. Results showed an 8% [95% confidence interval (CI) = 6-9%] reduction in the change in incidence rate per day after Lockdown 1.0 compared to prior to the Lockdown order, with an additional reduction of 3% (95% CI = 2-3%) after Lockdown 4.0, suggesting an 11% (95% CI = 9-12%) reduction in the change in COVID-19 incidence after Lockdown 4.0 compared to the period before Lockdown 1.0. Uptake of the lockdown policy is indicated by decreased mobility and attenuation of the increasing incidence of COVID-19. The increasing rate of incident case reports in India was attenuated after the lockdown policy was implemented compared to before, and this reduction was maintained after the restrictions were eased, suggesting that the policy helped to 'flatten the curve' and buy additional time for pandemic preparedness, response and recovery.
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