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.
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References
Munster VJ, Koopmans M, van Doremalen N, van Riel D, de Wit E. A novel coronavirus emerging in China — key questions for impact assessment. N Engl J Med 2020;382;692–4.
Shereen MA, Khan S, Kazmi A, Bashir N, Siddique R. COVID-19 infection: origin, transmission, and characteristics of human coronaviruses. J Adv Res 2020;24;91–8.
Giovanetti M, Benvenuto D, Angeletti S, Ciccozzi M. The first two cases of 2019‐nCoV in Italy: Where they come from? J Med Virol 2020;92;518–21.
Arima Y, Shimada T, Suzuki M, Suzuki T, Kobayashi Y, Tsuchihashi Y, et al. Severe acute respiratory syndrome coronavirus 2 infection among returnees to Japan from Wuhan, China, 2020. Emerg Infect Dis 2020;26;1596–600.
Worldometer. Coronavirus cases [Internet]. Worldometer. 2020, pp. 1–22. Available from: https://www.worldometers.info/coronavirus/coronavirus-cases/#daily-cases [cited April 10, 2020].
Zhang C, Zheng W, Huang X, Bell EW, Zhou X, Zhang Y. Protein structure and sequence reanalysis of 2019-nCoV genome refutes snakes as its intermediate host and the unique similarity between its spike protein insertions and HIV-1. J Proteome Res 2020;19;1351–60.
Siettos CI, Russo L. Mathematical modeling of infectious disease dynamics. Virulence 2013;4;295–306.
Kucharski AJ, Russell TW, Diamond C, Liu Y, Edmunds J, Funk S, et al. Early dynamics of transmission and control of COVID-19: a mathematical modelling study. Lancet Infect Dis 2020;20;553–8.
Coronavirus Disease (COVID-19). Available from: https://www.who.int/india/emergencies/coronavirus-disease-(covid-19).
Coronavirus: India confirms first case, with 800 others under observation [Internet]. Available from: https://www.telegraph.co.uk/global-health/science-and-disease/coronavirus-india-confirms-first-case-800-others-observation/ [cited April 10, 2020].
COVID-19 Tracker. India. Available from: https://www.covid-19india.org/.
R Core Team. R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2014.
Wickham H. ggplot2: elegant graphics for data analysis using the grammar of graphics. Springer-Verlag: New York; 2016. Available from: https://ggplot2.tidyverse.org.
Moghadas S, Milwid R. Glossary of terms for infectious disease modelling: a proposal for consistent language. Winnipeg, MB: NCCID; 2016, pp. 1–3.
Jombart T, Cori A, Kamvar ZN, Schumaker D. Small helpers and tricks for epidemics analysis. Package ‘epitrix.’ 2019. Available from: https://cran.r-project.org/web/packages/epitrix/epitrix.pdf.
Obadia T, Haneef R, Boëlle PY. The R0 package: a toolbox to estimate reproduction numbers for epidemic outbreaks. BMC Med Inform Decis Mak 2012;12;147.
WHO. Report of the WHO-China Joint Mission on Coronavirus Disease 2019 (COVID-19). 2020. Available from: https://www.who.int/docs/default-source/coronaviruse/who-china-joint-mission-on-covid-19-final-report.pdf (accessed April 13, 2020).
Backer JA, Klinkenberg D, Wallinga J. Incubation period of 2019 novel coronavirus (2019-nCoV) infections among travellers from Wuhan, China, 20–28 January 2020. Euro Surveill 2020;25;2000062.
Lauer SA, Grantz KH, Bi Q, Jones FK, Zheng Q, Meredith HR, et al. The incubation period of coronavirus disease 2019 (COVID-19) from publicly reported confirmed cases: estimation and application. Ann Intern Med 2020;172;577–82.
Rocklöv J, Sjödin H. High population densities catalyse the spread of COVID-19. J Travel Med 2020;27;taaa038.
Riou J, Althaus CL. Pattern of early human-to-human transmission of Wuhan 2019 novel coronavirus (2019-nCoV), December 2019 to January 2020. Euro Surveill 2020;25;2000058.
Yuan J, Li M, Lv G, Lu ZK. Monitoring transmissibility and mortality of COVID-19 in Europe. Int J Infect Dis 2020;95;311–15.
European Centre for Disease Prevention and Control. COVID-19. Available from: https://qap.ecdc.europa.eu/public/extensions/COVID-19/COVID-19.html [cited April 12, 2020].
Prem K, Liu Y, Russell TW, Kucharski AJ, Eggo RM, Davies N, et al. The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study. Lancet Public Health 2020;5;e261–e70.
Endo A, Centre for the Mathematical Modelling of Infectious Diseases COVID-19 Working Group, Abbott S, Kucharski AJ, Funk S. Estimating the overdispersion in COVID-19 transmission using outbreak sizes outside China. Wellcome Open Res 2020;5;67.
Lipsitch M, Swerdlow DL, Finelli L. Defining the epidemiology of Covid-19 — studies needed. N Engl J Med 2020;382;1194–6.
Hellewell J, Abbott S, Gimma A, Bosse NI, Jarvis CI, Russell TW, et al. Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts. Lancet Glob Health 2020;8;e488–e96.
Li Q, Guan X, Wu P, Wang X, Zhou L, Tong Y, et al. Early transmission dynamics in Wuhan, China, of novel coronavirus– infected pneumonia. N Engl J Med 2020;382;1199–207.
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Data availability statement: The data that support the findings of this study are openly available in COVID-19 Tracker, India at Available from: https://www.covid19india.org//.
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Rajendrakumar, A.L., Nair, A.T.N., Nangia, C. et al. Epidemic Landscape and Forecasting of SARS-CoV-2 in India. J Epidemiol Glob Health 11, 55–59 (2021). https://doi.org/10.2991/jegh.k.200823.001
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DOI: https://doi.org/10.2991/jegh.k.200823.001