Adegbite, Gbenga and Edeki, S.O. and Isewon, Itunuoluwa and Oyelade, O. J. and Adebiyi, E. F. (2023) Modeling Malaria Disease Spread Using Location-Specific Internet Data. In: 2023 27th International Conference on Circuits, Systems, Communications and Computers (CSCC), 19-22 July 2023, Rhodes (Rodos) Island, Greece.
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Abstract
Malaria importation is one of the hypothetical drivers of malaria transmission dynamics across the globe. Existing studies that focused on malaria importation used mobile phone data to study human mobility trends in relation to malaria incidences but did not capture the mobility patterns of those in the human population who do not use a mobile phone based on institutional restriction policy. Hence, the purpose of this study is to assess the impact of human mobility on malaria transmission dynamics using Covenant University Undergraduate Students in Nigeria who are restricted from mobile phone usage as the pilot population study group. One of the core objectives of this study was to develop a novel location-specific Internet Data Model (IDM) to conceptually express travel rates among the pilot population study group of interest. Furthermore, this work statistically modeled the association between IDM-derived travel and hospital-reported malaria incidences
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA76 Computer software R Medicine > RA Public aspects of medicine |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
| Depositing User: | Patricia Nwokealisi |
| Date Deposited: | 02 Aug 2024 09:59 |
| Last Modified: | 02 Aug 2024 09:59 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/18351 |
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