Early Phasic Containment of COVID-19 in Substantially Affected States of India
Abstract
Introduction: India is experiencing the global COVID-19 pandemic caused with the infection of SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2). To explore the early epidemic course and the effectiveness of lockdowns on COVID-19 pandemic in some worst-affected Indian states.
Methods: Using publicly available real data and model-based prediction, the growth rate, case fatality rate, serial interval, and time-varying reproduction number (R) of COVID-19 were estimated, before and after lockdown implementation in India.
Results: The spread of COVID-19 epidemic in some highly-impacted Indian states displayed a characteristic sub-exponential growth projected up to 3 May 2020, as a consequence of lockdown strategies, in addition to improvement of reproduction number (R), serial interval, and daily growth rate, but not case fatality rate (CFR). The effect of COVID-19 containment was more prominent in second phase of lockdown with declining R, which was still >1.
Conclusion: The current findings suggest the requirement of sustained interventions for effective containment of COVID-19 pandemic in Indian context.
Keywords: COVID-19, SARS-CoV-2, Indian states, epidemiological parameters, lockdown effect.
Keywords:
COVID-19, SARS-CoV-2, Indian states, epidemiological parameters, lockdown effectDOI
https://doi.org/10.22270/jddt.v10i4-s.4284References
Editorial. India under COVID-19 lockdown. Lancet 2020; 395:1315.
Kim GU, Kim MJ, Ra SH, Lee J, Bae S, Jung J, et al. Clinical characteristics of asymptomatic and symptomatic patients with mild COVID-19. Clinical Microbiology and Infection 2020; 26:948.e1-948.e3.
Kupferschmidt K. The lockdowns worked—but what comes next? Science 2020; 368:218-219.
Leon DA, Shkolnikov VM, Smeeth L, Magnus P, Pechholdova M, Jarvis CI. COVID-19: a need for real-time monitoring of weekly excess deaths. Lancet 2020; 395:e81.
Mandal M, Mandal S. COVID-19 pandemic scenario in India compared to China and rest of the world: a data driven and model analysis. medRxiv 2020a.
doi: 10.1101/2020.04.20.20072744
Mandal M, Mandal S. Bioinformatic approaches towards identification of potential repurposable drugs for COVID-19. Research Square 2020b. doi: 10.21203/rs.3.rs-38164/v2
MHFW-GoI. COVID-19 India. Ministry of Health and Family Welfare, Government of India. 2020. Available from: https://www.mohfw.gov.in/index.php (Accessed: 26 April 2020).
Pan A, Liu L, Wang C, et al. Association of public health interventions with the epidemiology of the COVID-19 outbreak in Wuhan, China. JAMA 2020; 323:1915-1923.
WHO India. Coronavirus disease (COVID-19). Available at: https://www.who.int/india/emergencies/novel-coronavirus-2019 (Accessed: 20 April 2020).
Yuan Z, Xiao Y, Dai Z, Huang J, Chen Y. A simple model to assess Wuhan lock-down effect and region efforts during COVID-19 epidemic in China mainland. Bull World Health Organ. E-pub: 02 March 2020.
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