2021
DOI: 10.2174/1574891x15666200915140806
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Transmissibility and Epidemicity of COVID-19 in India: A Case Study

Abstract: Background: The global outbreak of COVID-19 incepted in Wuhan, China in the late 2019. It is still unclear about the origin of the infection. Over time, it has migrated geographically to 150 countries in the world and World Health Organization (WHO) has declared the infectious disease to be pandemic. Objective: Recently, COVID-19 has stepped into India by the travellers from other countries. The transmissibility and epidemicity of COVID-19 in India is exponential. So, in-order to understand the above charact… Show more

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Cited by 2 publications
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“…Since masses from the parenchymal position of the computerized mass containing them are always undefined [9]. Different types of machine learning techniques are used in predicting the disease in medical applications [10][11][12][13][14]. Efficient data mining algorithm and IoT devices are in medical applications [15][16][17][18][19][20][21].…”
Section: Related Workmentioning
confidence: 99%
“…Since masses from the parenchymal position of the computerized mass containing them are always undefined [9]. Different types of machine learning techniques are used in predicting the disease in medical applications [10][11][12][13][14]. Efficient data mining algorithm and IoT devices are in medical applications [15][16][17][18][19][20][21].…”
Section: Related Workmentioning
confidence: 99%
“…COVID-19, caused by SARS-CoV-2, a novel member of the SARS family of coronaviruses, is a rapidly transmissible, highly infectious disease with high rates of morbidity and mortality. [ 1 ] In India, like in many other affected countries, the healthcare system has been overwhelmed by the large number of patients affected by COVID-19. [ 2 ] The actual risk of transmission of SARS-COV-2 virus postmortem is currently not known,[ 3 ] but the presence of the virus in tears and the possible transmission through the conjunctiva has been reported.…”
mentioning
confidence: 99%