Modelling of reproduction number for COVID-19 in India and high incidence states | Zendy

S. Marimuthu | Zendy; Melvin Joy | Zendy; B. Malavika | Zendy; Ambily Nadaraj | Zendy; Edwin Sam Asirvatham | Zendy; L. Jeyaseelan | Zendy

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Modelling of reproduction number for COVID-19 in India and high incidence states

Author(s) -

S. Marimuthu,

Melvin Joy,

B. Malavika,

Ambily Nadaraj,

Edwin Sam Asirvatham,

L. Jeyaseelan

Publication year - 2020

Publication title -

clinical epidemiology and global health

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.361

H-Index - 13

eISSN - 2452-0918

pISSN - 2213-3984

DOI - 10.1016/j.cegh.2020.06.012

Subject(s) - basic reproduction number , covid-19 , reproduction , transmissibility (structural dynamics) , demography , statistics , tamil , incidence (geometry) , china , mathematics , geography , veterinary medicine , biology , medicine , population , ecology , philosophy , linguistics , archaeology , pathology , sociology , quantum mechanics , vibration , physics , disease , vibration isolation , infectious disease (medical specialty) , geometry

Since the onset of the COVID-19 in China, forecasting and projections of the epidemic based on epidemiological models have been in the centre stage. Researchers have used various models to predict the maximum extent of the number of cases and the time of peak. This yielded varying numbers. This paper aims to estimate the effective reproduction number (R) for COVID-19 over time using incident number of cases that are reported by the government.

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