A Privacy-Preserved Internet-of-Medical-Things Scheme for Eradication and Control of Dengue Using UAV
Dengue is a mosquito-borne viral infection, found in tropical and sub-tropical climates worldwide, mostly in urban and semi-urban areas. Countries like Pakistan receive heavy rains annually resulting in floods in urban cities due to poor drainage systems. Currently, different cities of Pakistan are...
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| Format: | Article |
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MDPI AG
2022-10-01
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| Series: | Micromachines |
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| Online Access: | https://www.mdpi.com/2072-666X/13/10/1702 |
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| author | Amir Ali Shibli Nisar Muhammad Asghar Khan Syed Agha Hassnain Mohsan Fazal Noor Hala Mostafa Mohamed Marey |
| author_facet | Amir Ali Shibli Nisar Muhammad Asghar Khan Syed Agha Hassnain Mohsan Fazal Noor Hala Mostafa Mohamed Marey |
| author_sort | Amir Ali |
| collection | DOAJ |
| description | Dengue is a mosquito-borne viral infection, found in tropical and sub-tropical climates worldwide, mostly in urban and semi-urban areas. Countries like Pakistan receive heavy rains annually resulting in floods in urban cities due to poor drainage systems. Currently, different cities of Pakistan are at high risk of dengue outbreaks, as multiple dengue cases have been reported due to poor flood control and drainage systems. After heavy rain in urban areas, mosquitoes are provided with a favorable environment for their breeding and transmission through stagnant water due to poor maintenance of the drainage system. The history of the dengue virus in Pakistan shows that there is a closed relationship between dengue outbreaks and a rainfall. There is no specific treatment for dengue; however, the outbreak can be controlled through internet of medical things (IoMT). In this paper, we propose a novel privacy-preserved IoMT model to control dengue virus outbreaks by tracking dengue virus-infected patients based on bedding location extracted using call data record analysis (CDRA). Once the bedding location of the patient is identified, then the actual infected spot can be easily located by using geographic information system mapping. Once the targeted spots are identified, then it is very easy to eliminate the dengue by spraying the affected areas with the help of unmanned aerial vehicles (UAVs). The proposed model identifies the targeted spots up to 100%, based on the bedding location of the patient using CDRA. |
| first_indexed | 2024-03-09T19:46:33Z |
| format | Article |
| id | doaj.art-9594388fd20e45e88f7d47d24b774697 |
| institution | Directory Open Access Journal |
| issn | 2072-666X |
| language | English |
| last_indexed | 2024-03-09T19:46:33Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Micromachines |
| spelling | doaj.art-9594388fd20e45e88f7d47d24b7746972023-11-24T01:23:01ZengMDPI AGMicromachines2072-666X2022-10-011310170210.3390/mi13101702A Privacy-Preserved Internet-of-Medical-Things Scheme for Eradication and Control of Dengue Using UAVAmir Ali0Shibli Nisar1Muhammad Asghar Khan2Syed Agha Hassnain Mohsan3Fazal Noor4Hala Mostafa5Mohamed Marey6Military College of Signals (MCS), National University of Sciences and Technology, Islamabad 44000, PakistanMilitary College of Signals (MCS), National University of Sciences and Technology, Islamabad 44000, PakistanDepartment of Electrical Engineering, Hamdard University, Islamabad 44000, PakistanOcean College, Zhejiang University, Zheda Road 1, Zhoushan 316021, ChinaFaculty of Computer and Information Systems, Islamic University of Madinah, Madinah 400411, Saudi ArabiaDepartment of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi ArabiaSmart Systems Engineering Laboratory, College of Engineering, Prince Sultan University, Riyadh 11586, Saudi ArabiaDengue is a mosquito-borne viral infection, found in tropical and sub-tropical climates worldwide, mostly in urban and semi-urban areas. Countries like Pakistan receive heavy rains annually resulting in floods in urban cities due to poor drainage systems. Currently, different cities of Pakistan are at high risk of dengue outbreaks, as multiple dengue cases have been reported due to poor flood control and drainage systems. After heavy rain in urban areas, mosquitoes are provided with a favorable environment for their breeding and transmission through stagnant water due to poor maintenance of the drainage system. The history of the dengue virus in Pakistan shows that there is a closed relationship between dengue outbreaks and a rainfall. There is no specific treatment for dengue; however, the outbreak can be controlled through internet of medical things (IoMT). In this paper, we propose a novel privacy-preserved IoMT model to control dengue virus outbreaks by tracking dengue virus-infected patients based on bedding location extracted using call data record analysis (CDRA). Once the bedding location of the patient is identified, then the actual infected spot can be easily located by using geographic information system mapping. Once the targeted spots are identified, then it is very easy to eliminate the dengue by spraying the affected areas with the help of unmanned aerial vehicles (UAVs). The proposed model identifies the targeted spots up to 100%, based on the bedding location of the patient using CDRA.https://www.mdpi.com/2072-666X/13/10/1702UAVdengueinternet of medical thingsprivacytracking systems |
| spellingShingle | Amir Ali Shibli Nisar Muhammad Asghar Khan Syed Agha Hassnain Mohsan Fazal Noor Hala Mostafa Mohamed Marey A Privacy-Preserved Internet-of-Medical-Things Scheme for Eradication and Control of Dengue Using UAV Micromachines UAV dengue internet of medical things privacy tracking systems |
| title | A Privacy-Preserved Internet-of-Medical-Things Scheme for Eradication and Control of Dengue Using UAV |
| title_full | A Privacy-Preserved Internet-of-Medical-Things Scheme for Eradication and Control of Dengue Using UAV |
| title_fullStr | A Privacy-Preserved Internet-of-Medical-Things Scheme for Eradication and Control of Dengue Using UAV |
| title_full_unstemmed | A Privacy-Preserved Internet-of-Medical-Things Scheme for Eradication and Control of Dengue Using UAV |
| title_short | A Privacy-Preserved Internet-of-Medical-Things Scheme for Eradication and Control of Dengue Using UAV |
| title_sort | privacy preserved internet of medical things scheme for eradication and control of dengue using uav |
| topic | UAV dengue internet of medical things privacy tracking systems |
| url | https://www.mdpi.com/2072-666X/13/10/1702 |
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