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  1. Article ; Online: Epidemic Landscape and Forecasting of SARS-CoV-2 in India.

    Rajendrakumar, Aravind Lathika / Nair, Anand Thakarakkattil Narayanan / Nangia, Charvi / Chourasia, Prabal Kumar / Chourasia, Mehul Kumar / Syed, Mohammed Ghouse / Nair, Anu Sasidharan / Nair, Arun B / Koya, Muhammed Shaffi Fazaludeen

    Journal of epidemiology and global health

    2020  Volume 11, Issue 1, Page(s) 55–59

    Abstract: ... We estimated the growth rate and doubling time of SARS-CoV-2 for India and high burden states using ... parameters of early phase of novel SARS-CoV-2 epidemic in India?: Findings: Incidence pattern SARS-CoV-2 ... it can be deduced that the peak of SARS-CoV-2 in India will be around mid-July to early August 2020 ...

    Abstract Background: India was one of the countries to institute strict measures for Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) control in the early phase. Since, then, the epidemic growth trajectory was slow before registering an explosion of cases due to local cluster transmissions.
    Methods: We estimated the growth rate and doubling time of SARS-CoV-2 for India and high burden states using crowdsourced time series data. Further, we also estimated the Basic Reproductive Number (R0) and Time-dependent Reproductive number (Rt) using serial intervals from the data. We compared the R0 estimated from five different methods and R0 from SB was further used in the analysis. We modified standard Susceptible-Infectious-Recovered (SIR) models to SIR/Death (SIRD) model to accommodate deaths using R0 with the sequential Bayesian method for simulation in SIRD models.
    Results: On average, 2.8 individuals were infected by an index case. The mean serial interval was 3.9 days. The R0 estimated from different methods ranged from 1.43 to 1.85. The mean time to recovery was 14 ± 5.3 days. The daily epidemic growth rate of India was 0.16 [95% CI; 0.14, 0.17] with a doubling time of 4.30 days [95% CI; 3.96, 4.70]. From the SIRD model, it can be deduced that the peak of SARS-CoV-2 in India will be around mid-July to early August 2020 with around 12.5% of the population likely to be infected at the peak time.
    Conclusion: The pattern of spread of SARS-CoV-2 in India is suggestive of community transmission. There is a need to increase funds for infectious disease research and epidemiologic studies. All the current gains may be reversed if air travel and social mixing resume rapidly. For the time being, these must be resumed only in a phased manner and should be back to normal levels only after we are prepared to deal with the disease with efficient tools like vaccines or medicine.
    Key points: .
    Question: What are the estimates of infectious disease parameters of early phase of novel SARS-CoV-2 epidemic in India?
    Findings: Incidence pattern SARS-CoV-2 shows possible evidence of community transmission. However, the estimated Basic Reproductive Number (R0) is relatively lower than those observed in high burden regions (range 1.43-1.85). Our simulation using susceptible-infectious-recovered/death model shows that peak of SARS-CoV-2 in India is farther than currently projected and is likely to affect around 12.5% of population.
    Meaning: The lower estimated R0 is indicative of the effectiveness of early social distancing measures and lockdown. Premature relaxation of the current control measures may result in large numbers of cases in India.
    MeSH term(s) Basic Reproduction Number/statistics & numerical data ; Bayes Theorem ; COVID-19/mortality ; COVID-19/prevention & control ; COVID-19/transmission ; Communicable Disease Control/methods ; Communicable Disease Control/organization & administration ; Computer Simulation ; Disease Transmission, Infectious/prevention & control ; Epidemics/statistics & numerical data ; Humans ; India/epidemiology ; Physical Distancing ; Prognosis ; SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-08-28
    Publishing country France
    Document type Journal Article
    ZDB-ID 2645324-1
    ISSN 2210-6014 ; 2210-6014
    ISSN (online) 2210-6014
    ISSN 2210-6014
    DOI 10.2991/jegh.k.200823.001
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Epidemic Landscape and Forecasting of SARS-CoV-2 in India

    Rajendrakumar, Aravind Lathika / Nair, Anand Thakarakkattil Narayanan / Nangia, Charvi / Chourasia, Prabal Kumar / Chourasia, Mehul Kumar / Syed, Mohammed Ghouse / Nair, Anu Sasidharan / Nair, Arun B. / Koya, Muhammed Shaffi Fazaludeen

    Journal of Epidemiology and Global Health ; ISSN 2210-6014

    2020  

    Keywords covid19
    Language English
    Publisher Atlantis Press
    Publishing country fr
    Document type Article ; Online
    DOI 10.2991/jegh.k.200823.001
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Epidemic Landscape and Forecasting of SARS-CoV-2 in India

    Aravind Lathika Rajendrakumar / Anand Thakarakkattil Narayanan Nair / Charvi Nangia / Prabal Kumar Chourasia / Mehul Kumar Chourasia / Mohammed Ghouse Syed / Anu Sasidharan Nair / Arun B. Nair / Muhammed Shaffi Fazaludeen Koya

    Journal of Epidemiology and Global Health, Vol 11, Iss

    2020  Volume 1

    Abstract: ... We estimated the growth rate and doubling time of SARS-CoV-2 for India and high burden states using ... that the peak of SARS-CoV-2 in India will be around mid-July to early August 2020 with around 12.5 ... of the population likely to be infected at the peak time. Conclusion: The pattern of spread of SARS-CoV-2 in India ...

    Abstract Background: India was one of the countries to institute strict measures for Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) control in the early phase. Since, then, the epidemic growth trajectory was slow before registering an explosion of cases due to local cluster transmissions. Methods: We estimated the growth rate and doubling time of SARS-CoV-2 for India and high burden states using crowdsourced time series data. Further, we also estimated the Basic Reproductive Number (R0) and Time-dependent Reproductive number (Rt) using serial intervals from the data. We compared the R0 estimated from five different methods and R0 from SB was further used in the analysis. We modified standard Susceptible-Infectious-Recovered (SIR) models to SIR/Death (SIRD) model to accommodate deaths using R0 with the sequential Bayesian method for simulation in SIRD models. Results: On average, 2.8 individuals were infected by an index case. The mean serial interval was 3.9 days. The R0 estimated from different methods ranged from 1.43 to 1.85. The mean time to recovery was 14 ± 5.3 days. The daily epidemic growth rate of India was 0.16 [95% CI; 0.14, 0.17] with a doubling time of 4.30 days [95% CI; 3.96, 4.70]. From the SIRD model, it can be deduced that the peak of SARS-CoV-2 in India will be around mid-July to early August 2020 with around 12.5% of the population likely to be infected at the peak time. Conclusion: The pattern of spread of SARS-CoV-2 in India is suggestive of community transmission. There is a need to increase funds for infectious disease research and epidemiologic studies. All the current gains may be reversed if air travel and social mixing resume rapidly. For the time being, these must be resumed only in a phased manner and should be back to normal levels only after we are prepared to deal with the disease with efficient tools like vaccines or medicine. Question: What are the estimates of infectious disease parameters of early phase of novel SARS-CoV-2 epidemic in India? Findings: Incidence pattern ...
    Keywords COVID-19 ; India ; R0 ; Rt ; Public aspects of medicine ; RA1-1270
    Language English
    Publishing date 2020-08-01T00:00:00Z
    Publisher Springer
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Epidemic Landscape and Forecasting of SARS-CoV-2 in India

    Lathika Rajendrakumar, Aravind / Thakarakkattil Narayanan Nair, Anand / Nangia, Charvi / Kumar Chourasia, Prabal / Kumar Chourasia, Mehul / Ghouse Syed, Mohammad / Sasidharan Nair, Anu / B Nair, Arun / Fazaludeen Koya, Muhammed Shaffi

    Abstract: BACKGROUND India was one of the countries to institute strict measures for SARS-CoV-2 control ... of SARS-CoV-2 in India will be around mid-July to early August 2020 with around 12.5% likely to be ... infected at peak time of incidence. CONCLUSIONS The pattern of spread of SARS-CoV-2 in India is suggestive ...

    Abstract BACKGROUND India was one of the countries to institute strict measures for SARS-CoV-2 control in early phase. Since, then, the epidemic growth trajectory was slow before registering an explosion of cases due to local cluster transmissions. METHODS We estimated growth rate and doubling time of SARS-CoV-2 for India and high burden states using crowd sourced time series data. Further, we also estimated Basic Reproductive Number (R0) and time dependent reproductive number (Rt) using serial intervals from the data. We compared the R0 estimated from five different methods and R0 from SB was further used in analysis. We modified standard SIR models to SIRD model to accommodate deaths using R0 with the Sequential Bayesian method (SBM) for simulation in SIRD models. RESULTS On an average, 2.8 individuals were infected by an index case. The mean serial interval was 3.9 days. The R0 estimated from different methods ranged from 1.43 to 1.85. The mean time to recovery was 14, SD 5.3 days. Daily epidemic growth rate of India was 0.16 [95%CI; 0.14, 0.17] with a doubling time of 4.30 days [95%CI; 3.96, 4.70]. From the SIRD model, it can be deduced that the peak of SARS-CoV-2 in India will be around mid-July to early August 2020 with around 12.5% likely to be infected at peak time of incidence. CONCLUSIONS The pattern of spread of SARS-CoV-2 in India is suggestive of community transmission. There is a need to increase fund for infectious disease research and epidemiologic studies. All the current gains may be reversed rapidly if air travel and social mixing resumes rapidly. For the time being, these must be resumed only in a phased manner, and should be back to normal levels only after we are prepared to deal with the disease with efficient tools like vaccine or a medicine.
    Keywords covid19
    Publisher MedRxiv; WHO
    Document type Article ; Online
    DOI 10.1101/2020.04.14.20065151
    Database COVID19

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  5. Article ; Online: Epidemic Landscape and Forecasting of SARS-CoV-2 in India

    Lathika Rajendrakumar, Aravind / Thakarakkattil Narayanan Nair, Anand / Nangia, Charvi / Kumar Chourasia, Prabal / Kumar Chourasia, Mehul / Ghouse Syed, Mohammad / Sasidharan Nair, Anu / B Nair, Arun / Fazaludeen Koya, Muhammed Shaffi

    medRxiv

    Abstract: BACKGROUND India was one of the countries to institute strict measures for SARS-CoV-2 control ... of SARS-CoV-2 in India will be around mid-July to early August 2020 with around 12.5% likely to be ... infected at peak time of incidence. CONCLUSIONS The pattern of spread of SARS-CoV-2 in India is suggestive ...

    Abstract BACKGROUND India was one of the countries to institute strict measures for SARS-CoV-2 control in early phase. Since, then, the epidemic growth trajectory was slow before registering an explosion of cases due to local cluster transmissions. METHODS We estimated growth rate and doubling time of SARS-CoV-2 for India and high burden states using crowd sourced time series data. Further, we also estimated Basic Reproductive Number (R0) and time dependent reproductive number (Rt) using serial intervals from the data. We compared the R0 estimated from five different methods and R0 from SB was further used in analysis. We modified standard SIR models to SIRD model to accommodate deaths using R0 with the Sequential Bayesian method (SBM) for simulation in SIRD models. RESULTS On an average, 2.8 individuals were infected by an index case. The mean serial interval was 3.9 days. The R0 estimated from different methods ranged from 1.43 to 1.85. The mean time to recovery was 14, SD 5.3 days. Daily epidemic growth rate of India was 0.16 [95%CI; 0.14, 0.17] with a doubling time of 4.30 days [95%CI; 3.96, 4.70]. From the SIRD model, it can be deduced that the peak of SARS-CoV-2 in India will be around mid-July to early August 2020 with around 12.5% likely to be infected at peak time of incidence. CONCLUSIONS The pattern of spread of SARS-CoV-2 in India is suggestive of community transmission. There is a need to increase fund for infectious disease research and epidemiologic studies. All the current gains may be reversed rapidly if air travel and social mixing resumes rapidly. For the time being, these must be resumed only in a phased manner, and should be back to normal levels only after we are prepared to deal with the disease with efficient tools like vaccine or a medicine.
    Keywords covid19
    Language English
    Publishing date 2020-04-17
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2020.04.14.20065151
    Database COVID19

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