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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Spatial Distribution Analysis of COVID-19 in Tamil Nadu: Geospatial Approach. |
| Authors Name: | S.Santhi , Dr.M.Sakthivel , S.Suriyakumar |
| Unique Id: | IJSDR2210124 |
| Published In: | Volume 7 Issue 10, October-2022 |
| Abstract: | On February 11, 2020, the WHO officially referred to the disease caused by novel coronavirus 2019 as COVID-19 and the Coronavirus Study Group of the International Committee advised the name of the virus as SARS-CoV-2 (Di Ferrante et al., 1975). The WHO formally announced the global COVID-19 pandemic on March 11, 2020. Millions of people were infected within a few months of the start of the COVID-19 pandemic, where hundreds of thousands died and millions lost their jobs due to various restrictions imposed across the world (Harapan et al., 2020). COVID-19 is one of the most infectious diseases and it severely affects certain demographics such as senior citizens, infants, and people with serious health conditions. Corona virus Covid 19 causing a severe respiratory syndrome (SARS-COV-2) Emerged in Wuhan, Hubei province, china, and rapidly spread to an around the world countries. This Covid 19 disease spread person to person transmission globally. In this paper To identify the geographic information system and among applications of real time mapping of disease cases in social population travel data, disease spreader proportion of Environmental variables, Geospatial analyst in web based mapping and Dashboards maps, integrating geographical data in Covid-19 pandemic surveillance and modelling. The best way to prevent and slow down transmission is to be well informed about corona virus the disease causes and how it spreads in aerosol transmission SARS-COVID-2. The group of Pneumonia infection cases that is an infection in one or both lungs, Bacteria, Viruses and Fungi cause it’s and happened in Wuhan, Hubei province and china in December 2019. The SARS-COV-2 genome sequence (Lu et al.,2020) since 1st March 2020, a total cases of COVID-19 have been reported in china 91,653 cases, Recovered 86.503 cases, Deaths 4,636 cases. Many cases of pneumonia are caused by bacteria. Outside the body, the bacteria are contagious and can spread between people in close proximity through sneezes and coughs. A person becomes infected by breathing in the bacteria are being implemented across the Tamilnadu in districts to suppress transmission and reduce mortality and morbility from covid-19. |
| Keywords: | Environment Variables, census Data, SPSS Data. Arc gis mapping. |
| Cite Article: | "Spatial Distribution Analysis of COVID-19 in Tamil Nadu: Geospatial Approach.", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 10, page no.740 - 749, October-2022, Available :http://www.ijsdr.org/papers/IJSDR2210124.pdf |
| Downloads: | 000337348 |
| Publication Details: | Published Paper ID: IJSDR2210124 Registration ID:201991 Published In: Volume 7 Issue 10, October-2022 DOI (Digital Object Identifier): Page No: 740 - 749 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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