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9th International Conference on Frontiers in Intelligent Computing: Theory and Applications, FICTA 2021 ; 266:425-431, 2022.
Article in English | Scopus | ID: covidwho-1750607

ABSTRACT

The state of Bihar has a sizeable population which is spread all over the nation especially the skilled and non-skilled labourers. This populace contributes towards human resource as service providers for nation building in various sectors across the length and breadth of India. The declaration by the World Health Organization (WHO) of the spread of COVID-19 virus as a pandemic brought a nationwide lockdown from 23rd of March 2020 to curb its spread. These daily wage workers were stranded far and wide without any resources. The transport communication was also withdrawn initially against the spread. Now, as soon as the conditions became conducive for the migrant labours to return to the native state of Bihar, there was a fear for disaster due to these returning migrant labour force as they probably could become a vector for the spread of COVID-19 pandemic in the state. The state government in consonance with the Central Government formed strict protocols to be adhered to, for these returning migrants. The present paper statistically analyses the spread of this pandemic once the migrant populace began returning to their home state. It investigates whether the influx of so many humans from various parts of the country would become the hub of the spread of the virus causing infectious hot spots or not. Simultaneously, as many researchers were trying to correlate the presence of atmospheric nitrogen dioxide (NO2) with the spread of COVID-19 virus, the paper tried to relate the amount of NO2 present over the study area on the day the maximum number of cases were reported in the study area. Evaluation of atmospheric nitrogen dioxide (NO2) used for the present paper was derived from satellite data. Time series analysis of this NO2 data was done. This enabled us to identify the peak day and the day when the NO2 levels were minimum. Incidentally, the number of COVID-19 cases reported synchronized with the NO2 levels in the atmosphere. Spatial auto-correlation was performed using Moran’s I test on the above two days. The values so obtained indicated that there were no hot spots identified, and the virus was found to be spread in a dispersed manner. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

2.
Proceedings of the 2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability ; : 518-521, 2020.
Article in English | Web of Science | ID: covidwho-1197992

ABSTRACT

COVID-19 is a pandemic that shake the world even harder and faster than tsunami tides. Covid-19 is a contagious disease caused by the virus named Severe Acute Respiratory Syndrome COronaVirus-2 (SARS-CoV-2). It started off from Wuhan city of Hubei province china in December 2019. Initially it was known as 2019 novel coronovirus (2019 nCoV). On 11 march WHO declared COVID-19 as pandemic. India reported its first patient on January 30 from Thrissur Kerala, a student from Wuhan. In this paper we did a survey of the outbreak and its spread in a short span and its impact on the people both physically and mentally. Also we tried to justify our survey with enough facts and statistical data.

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