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Epidemiology of COVID-19 and effect of public health interventions, Chennai, India, March - October 2020
Jagadeesan Murugesan; Parasuraman Ganeshkumar; Prabhdeep Kaur; Hemalatha Masanam Sriramulu; Manikandanesan Sakthivel; Polani Rubeshkumar; Mohankumar Raju; Lakshmidevi Murugesan; Raajkumar Ganapathi; Mahalakshmi Srinivasan; Aswini Sukumar; Kumaravel Ilangovan; Reddy Madhusudhan; Divyadarshini Shanmugam; Prakash Govindasamy; Manoj Murhekar.
Afiliação
  • Jagadeesan Murugesan; Greater Chennai Corporation, Government of Tamil Nadu, India
  • Parasuraman Ganeshkumar; ICMR-National Institute of Epidemiology, Chennai, Tamil Nadu, India
  • Prabhdeep Kaur; ICMR-National Institute of Epidemiology, Chennai, Tamil Nadu, India
  • Hemalatha Masanam Sriramulu; Greater Chennai Corporation, Government of Tamil Nadu, India
  • Manikandanesan Sakthivel; ICMR-National Institute of Epidemiology, Chennai, Tamil Nadu, India
  • Polani Rubeshkumar; ICMR-National Institute of Epidemiology, Chennai, Tamil Nadu, India
  • Mohankumar Raju; ICMR-National Institute of Epidemiology, Chennai, Tamil Nadu, India
  • Lakshmidevi Murugesan; Greater Chennai Corporation, Government of Tamil Nadu, India
  • Raajkumar Ganapathi; Greater Chennai Corporation, Government of Tamil Nadu, India
  • Mahalakshmi Srinivasan; Greater Chennai Corporation, Government of Tamil Nadu, India
  • Aswini Sukumar; ICMR-National Institute of Epidemiology, Chennai, Tamil Nadu, India
  • Kumaravel Ilangovan; ICMR-National Institute of Epidemiology, Chennai, Tamil Nadu, India
  • Reddy Madhusudhan; Greater Chennai Corporation, Government of Tamil Nadu, India
  • Divyadarshini Shanmugam; Greater Chennai Corporation, Government of Tamil Nadu, India
  • Prakash Govindasamy; Greater Chennai Corporation, Government of Tamil Nadu, India
  • Manoj Murhekar; ICMR-National Institute of Epidemiology, Chennai, Tamil Nadu, India
Preprint em Inglês | medRxiv | ID: ppmedrxiv-21255852
ABSTRACT
ObjectivesTo describe the public health strategies and their effect in controlling the COVID-19 pandemic from March to October 2020 in Chennai, India. SettingChennai, a densely populated metropolitan city in Southern India, was one of the five cities which contributed to more than half of the COVID-19 cases in India. ParticipantsWe collected the de-identified line list of all the 192,450 COVID-19 case-patients reported from 17 March to 31 October 2020 in Chennai and their contacts for the analysis. We defined a COVID-19 case-patient based on the RT-PCR positive test in one of the Government approved labs. Outcome measuresThe primary outcomes of interest were incidence of COVID-19 per million population, case fatality ratio, deaths per million and the effective reproduction number (Rt). We also analysed the indicators for surveillance, testing, contact tracing and isolation. ResultsOf the 192,450 RT-PCR confirmed COVID-19 case-patients reported in Chennai from 17 March-31 October 2020, 114,889 (60%) were males. The highest incidence was 41,064 per million population among the 61-80 years. The incidence peaked during June 2020 at 5239 per million and declined to 3,627 per million in October 2020. The city reported 3,543 deaths, with a case fatality ratio (CFR) of 1.8% and the crude death rate was 431 per million. When lockdown began, Rt was high (4.2) in March and fluctuated from April to June 2020. The Rt dropped below one by the first week of July and remained so until October 2020, even with the relaxation of restrictions ConclusionThe combination of public health strategies controlled the COVID-19 epidemic in a large, densely populated city in India. We recommend continuing the interventions to prevent resurgence, even as vaccination is being rolled out. StrengthsO_LIWe did a comprehensive analysis of COVID-19 strategies and outcome in a large, densely populated metropolitan city in India. C_LIO_LIWe documented that the community-centric public health strategies were feasible and effective in controlling the COVID-19 outbreak even in a large, thickly populated city C_LIO_LIThe lessons learnt are relevant to similar settings in low-and middle-income countries. Given the ongoing multiple waves of COVID-19 and the difficulty in controlling the transmission, our experience and lessons learnt will be valuable for policymakers and scientific advisors globally C_LI LimitationsO_LIWe analysed the data available from the GCC database and not from the hospitals where patients with moderate to severe illness were admitted. Hence, we could not report the severity of illness among admitted patients. C_LIO_LISecond, the COVID-19 incidence might have been underestimated while testing was low during the early phase of the epidemic C_LI
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Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies / Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2021 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies / Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2021 Tipo de documento: Preprint
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