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An Interrupted Time Series Analysis of COVID-19 Positivity before, during and after Lockdown in Four States of India 被引量:1

An Interrupted Time Series Analysis of COVID-19 Positivity before, during and after Lockdown in Four States of India
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摘要 <strong>Objectives:</strong> The objective of this study was to examine the impact of large scale non-pharmaceutical interventions on COVID-19 pandemic. <strong>Methods:</strong> We used interrupted time series analysis (ITS), a quasi-experimental model to evaluate the effect of interventions in four states of India by comparing the COVID-19 positivity before lockdown, during lockdown and opening-up period. <strong>Results:</strong> The positivity in all the four states declined during lockdown and the trends reversed soon after the lockdown measures were relaxed as the states opened-up. The rate of reduction of positivity was significantly different between states. Between the lockdown and opening-up period, an increase in positivity was recorded in all the states with significant variation between states. <strong>Conclusion:</strong> The analysis provides conclusive evidence that the lockdown measures had a positive effect in reducing the burden of COVID-19 and establishes a causal relationship. <strong>Objectives:</strong> The objective of this study was to examine the impact of large scale non-pharmaceutical interventions on COVID-19 pandemic. <strong>Methods:</strong> We used interrupted time series analysis (ITS), a quasi-experimental model to evaluate the effect of interventions in four states of India by comparing the COVID-19 positivity before lockdown, during lockdown and opening-up period. <strong>Results:</strong> The positivity in all the four states declined during lockdown and the trends reversed soon after the lockdown measures were relaxed as the states opened-up. The rate of reduction of positivity was significantly different between states. Between the lockdown and opening-up period, an increase in positivity was recorded in all the states with significant variation between states. <strong>Conclusion:</strong> The analysis provides conclusive evidence that the lockdown measures had a positive effect in reducing the burden of COVID-19 and establishes a causal relationship.
作者 Shailaja Tetali Guru Rajesh Jammy Edwin Sam Asirvatham Bogam Ranjeeth Kumar Lincoln Priyadarshi Choudhury Shailaja Tetali;Guru Rajesh Jammy;Edwin Sam Asirvatham;Bogam Ranjeeth Kumar;Lincoln Priyadarshi Choudhury(Public Health Foundation of India, Indian Institute of Public Health Plot No # 1, ANV Arcade, Amar Co-op Society, Hyderabad, India;Society for Health Allied Research and Education India (SHARE INDIA), MediCiti Institute of Medical Sciences Campus, Medchal Telangana, India;Health Systems Research India Initiative (HSRII), Thiruvananthapuram, Kerala, India;Karshapana Consultants Private Limited Sri Sai Emerald Apt, Saidabad, Hyderabad, India;Karshapana Consultants private Limited U-151, DLF Capital Greens, Motinagar, New Delhi, India)
出处 《Open Journal of Epidemiology》 2021年第1期47-55,共9页 流行病学期刊(英文)
关键词 CAUSALITY Interrupted Time Series COVID-19 Impact Evaluation Causality Interrupted Time Series COVID-19 Impact Evaluation
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