CIA-CVD: cloud based image analysis for COVID-19 vaccination distribution
Abstract Due to the huge impact of COVID-19, the world is currently facing a medical emergency and shortage of vaccine. Many countries do not have enough medical equipment and infrastructure to tackle this challenge. Due to the lack of a central administration to guide the countries to take the nece...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2023-11-01
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| Series: | Journal of Cloud Computing: Advances, Systems and Applications |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13677-023-00539-y |
| _version_ | 1797451507907428352 |
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| author | Vivek Kumar Prasad Debabrata Dansana S Gopal Krishna Patro Ayodeji Olalekan Salau Divyang Yadav Madhuri Bhavsar |
| author_facet | Vivek Kumar Prasad Debabrata Dansana S Gopal Krishna Patro Ayodeji Olalekan Salau Divyang Yadav Madhuri Bhavsar |
| author_sort | Vivek Kumar Prasad |
| collection | DOAJ |
| description | Abstract Due to the huge impact of COVID-19, the world is currently facing a medical emergency and shortage of vaccine. Many countries do not have enough medical equipment and infrastructure to tackle this challenge. Due to the lack of a central administration to guide the countries to take the necessary precautions, they do not proactively identify the cases in advance. This has caused Covid-19 cases to be on the increase, with the number of cases increasing at a geometric progression. Rapid testing, RT-PCR testing, and a CT-Scan/X-Ray of the chest are the primary procedures in identifying the covid-19 disease. Proper immunization is delivered on a priority basis based on the instances discovered in order to preserve human lives. In this research paper, we suggest a technique for identifying covid-19 positive cases and determine the most affected locations of covid-19 cases for vaccine distribution in order to limit the disease's impact. To handle the aforementioned issues, we propose a cloud based image analysis approach for using a COVID-19 vaccination distribution (CIA-CVD) model. The model uses a deep learning, machine learning, digital image processing and cloud solution to deal with the increasing cases of COVID-19 and its priority wise distribution of the vaccination. Graphical Abstract |
| first_indexed | 2024-03-09T14:55:40Z |
| format | Article |
| id | doaj.art-e325cf0a68484515a5812239e7192ca2 |
| institution | Directory Open Access Journal |
| issn | 2192-113X |
| language | English |
| last_indexed | 2024-03-09T14:55:40Z |
| publishDate | 2023-11-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Journal of Cloud Computing: Advances, Systems and Applications |
| spelling | doaj.art-e325cf0a68484515a5812239e7192ca22023-11-26T14:14:59ZengSpringerOpenJournal of Cloud Computing: Advances, Systems and Applications2192-113X2023-11-0112111810.1186/s13677-023-00539-yCIA-CVD: cloud based image analysis for COVID-19 vaccination distributionVivek Kumar Prasad0Debabrata Dansana1S Gopal Krishna Patro2Ayodeji Olalekan Salau3Divyang Yadav4Madhuri Bhavsar5Computer Science and Engineering Department, Institute of Technology, Nirma UniversityDepartment of Computer Science, Rajendra UniversityDepartment of CEA, Institute of Engineering and Technology, GLA UniversityDepartment of Electrical/Electronics and Computer Engineering, Afe Babalola UniversityComputer Science and Engineering Department, Institute of Technology, Nirma UniversityComputer Science and Engineering Department, Institute of Technology, Nirma UniversityAbstract Due to the huge impact of COVID-19, the world is currently facing a medical emergency and shortage of vaccine. Many countries do not have enough medical equipment and infrastructure to tackle this challenge. Due to the lack of a central administration to guide the countries to take the necessary precautions, they do not proactively identify the cases in advance. This has caused Covid-19 cases to be on the increase, with the number of cases increasing at a geometric progression. Rapid testing, RT-PCR testing, and a CT-Scan/X-Ray of the chest are the primary procedures in identifying the covid-19 disease. Proper immunization is delivered on a priority basis based on the instances discovered in order to preserve human lives. In this research paper, we suggest a technique for identifying covid-19 positive cases and determine the most affected locations of covid-19 cases for vaccine distribution in order to limit the disease's impact. To handle the aforementioned issues, we propose a cloud based image analysis approach for using a COVID-19 vaccination distribution (CIA-CVD) model. The model uses a deep learning, machine learning, digital image processing and cloud solution to deal with the increasing cases of COVID-19 and its priority wise distribution of the vaccination. Graphical Abstracthttps://doi.org/10.1186/s13677-023-00539-yMedical InfrastructureCloud computingCentral administrative authorityCT-Scan/X-Ray Images of chestsDecision support systemVaccination task |
| spellingShingle | Vivek Kumar Prasad Debabrata Dansana S Gopal Krishna Patro Ayodeji Olalekan Salau Divyang Yadav Madhuri Bhavsar CIA-CVD: cloud based image analysis for COVID-19 vaccination distribution Journal of Cloud Computing: Advances, Systems and Applications Medical Infrastructure Cloud computing Central administrative authority CT-Scan/X-Ray Images of chests Decision support system Vaccination task |
| title | CIA-CVD: cloud based image analysis for COVID-19 vaccination distribution |
| title_full | CIA-CVD: cloud based image analysis for COVID-19 vaccination distribution |
| title_fullStr | CIA-CVD: cloud based image analysis for COVID-19 vaccination distribution |
| title_full_unstemmed | CIA-CVD: cloud based image analysis for COVID-19 vaccination distribution |
| title_short | CIA-CVD: cloud based image analysis for COVID-19 vaccination distribution |
| title_sort | cia cvd cloud based image analysis for covid 19 vaccination distribution |
| topic | Medical Infrastructure Cloud computing Central administrative authority CT-Scan/X-Ray Images of chests Decision support system Vaccination task |
| url | https://doi.org/10.1186/s13677-023-00539-y |
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