COVID-19 outbreak data analysis and prediction
Covid-19 is a novel pandemic disease with no potential vaccine treatment or medicine, the world is facing currently as of now. The death toll has increased to several lakhs and recovery rate is comparatively very less, was initially spotted in Wuhan (China). This spreads through close contact with p...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-02-01
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| Series: | Measurement: Sensors |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2665917422002197 |
| _version_ | 1811176105382510592 |
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| author | R. Anandan T. Nalini Shwetambari Chiwhane M. Shanmuganathan P. Radhakrishnan |
| author_facet | R. Anandan T. Nalini Shwetambari Chiwhane M. Shanmuganathan P. Radhakrishnan |
| author_sort | R. Anandan |
| collection | DOAJ |
| description | Covid-19 is a novel pandemic disease with no potential vaccine treatment or medicine, the world is facing currently as of now. The death toll has increased to several lakhs and recovery rate is comparatively very less, was initially spotted in Wuhan (China). This spreads through close contact with people and socializing. The number of infected people varies with different parts of the world In our particular country India we are going through the lock down period which is the only vaccine to promote “social distancing” The hurdle arose due to the widespread of corona is major economy loss in combo with innocent lives. In this manuscript, we are visualizing the dataset which is publicly available to map, differentiate and separate the data in order to segregate the places that are most prone and perform basic regression to identify and predict the increasability of the counts from the dataset. |
| first_indexed | 2024-04-10T19:47:46Z |
| format | Article |
| id | doaj.art-c7c4aa61d8654a78b00b0e1f0b6dea86 |
| institution | Directory Open Access Journal |
| issn | 2665-9174 |
| language | English |
| last_indexed | 2024-04-10T19:47:46Z |
| publishDate | 2023-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Measurement: Sensors |
| spelling | doaj.art-c7c4aa61d8654a78b00b0e1f0b6dea862023-01-29T04:21:43ZengElsevierMeasurement: Sensors2665-91742023-02-0125100585COVID-19 outbreak data analysis and predictionR. Anandan0T. Nalini1Shwetambari Chiwhane2M. Shanmuganathan3P. Radhakrishnan4Dept of C.S.E, Vels Institute of Science, Technology & Advanced Studies (VISTAS), Pallavaram, Chennai, 600117, Tamil Nadu, IndiaDept of C.S.E, Dr.M.G.R.Educational and Research Institute, Maduravoyal, Chennai, 600095, Tamil Nadu, India; Corresponding author.Dept of C.S.E, Symbiosis Institute of Technology, Symbiosis International University, Lavale, Pune, IndiaDept of C.S.E, Panimalar Engineering College, Chennai, 600123, Tamil Nadu, IndiaSchool of CS and AI, S.R.University, Warangal, Telangana, IndiaCovid-19 is a novel pandemic disease with no potential vaccine treatment or medicine, the world is facing currently as of now. The death toll has increased to several lakhs and recovery rate is comparatively very less, was initially spotted in Wuhan (China). This spreads through close contact with people and socializing. The number of infected people varies with different parts of the world In our particular country India we are going through the lock down period which is the only vaccine to promote “social distancing” The hurdle arose due to the widespread of corona is major economy loss in combo with innocent lives. In this manuscript, we are visualizing the dataset which is publicly available to map, differentiate and separate the data in order to segregate the places that are most prone and perform basic regression to identify and predict the increasability of the counts from the dataset.http://www.sciencedirect.com/science/article/pii/S2665917422002197RegressionLinear-regressionCovid-19Data analysisMERSSARS |
| spellingShingle | R. Anandan T. Nalini Shwetambari Chiwhane M. Shanmuganathan P. Radhakrishnan COVID-19 outbreak data analysis and prediction Measurement: Sensors Regression Linear-regression Covid-19 Data analysis MERS SARS |
| title | COVID-19 outbreak data analysis and prediction |
| title_full | COVID-19 outbreak data analysis and prediction |
| title_fullStr | COVID-19 outbreak data analysis and prediction |
| title_full_unstemmed | COVID-19 outbreak data analysis and prediction |
| title_short | COVID-19 outbreak data analysis and prediction |
| title_sort | covid 19 outbreak data analysis and prediction |
| topic | Regression Linear-regression Covid-19 Data analysis MERS SARS |
| url | http://www.sciencedirect.com/science/article/pii/S2665917422002197 |
| work_keys_str_mv | AT ranandan covid19outbreakdataanalysisandprediction AT tnalini covid19outbreakdataanalysisandprediction AT shwetambarichiwhane covid19outbreakdataanalysisandprediction AT mshanmuganathan covid19outbreakdataanalysisandprediction AT pradhakrishnan covid19outbreakdataanalysisandprediction |