Leveraging Geo-Nlp for Enhanced Antiretroviral Drug Distribution in Nigeria: Insights from Social Media and News Data

Simple item page
dc.contributor.authorBashirudeen O.I.
dc.contributor.authorOlubayo A.
dc.contributor.authorAnthony S.
dc.contributor.authorAhmad I.I.
dc.date.accessioned2024-11-26T08:49:06Z
dc.date.available2024-11-26T08:49:06Z
dc.date.issued2024-11-25
dc.descriptionScholarly article
dc.description.abstractFaced with over 1.9 million HIV/AIDS cases, Nigeria’s need for efficient antiretroviral therapy (ART) distribution is crucial as conventional drug distribution methods are restrained by logistical issues and data scarcity and thus require innovative solutions. This study employs Geographic Natural Language Processing (Geo-NLP) to analyse social media and news content, offering novel insights into public discourse on HIV/AIDS and ART across Nigeria. Using a custom Named-Entity Recognition (NER) model to process data from NairaLand and major newspapers, the research uncovers geographical patterns in HIV/AIDS-related conversations, achieving a significant model performance with an overall F1-Score of 83.27%. Other analysis done scraopped text data spotlights areas with more discussions on HIV/AIDS, suggesting areas like Bauchi, Jos, and Ibadan as priority sites for targeted ART distribution interventions. This approach aims to refine ART distribution strategies and sets a precedent for employing Geo-NLP in public health planning. Despite its brevity, the study underscores the potential of integrating Geo-NLP with traditional data to enhance healthcare delivery in Nigeria, paving the way for a more effective public health interventions against the HIV/AIDS epidemic.
dc.identifier.citationBashirudeen O. I., Olubayo A., Anthony S. & Ahmad I. I. (2024). “Leveraging Geo-Nlp for Enhanced Antiretroviral Drug Distribution in Nigeria: Insights from Social Media and News Data". In Proceedings of the International Conference on Artificial Intelligence and Robotics (MIRG-ICAIR 2024), pp. 13-21, MIRG
dc.identifier.isbn978-978-771-680-9
dc.identifier.urihttps://ir.unilag.edu.ng/handle/123456789/13056
dc.language.isoen
dc.publisherMIRG
dc.relation.ispartofseriesMIRG-ICAIR 2024
dc.titleLeveraging Geo-Nlp for Enhanced Antiretroviral Drug Distribution in Nigeria: Insights from Social Media and News Data
dc.typeArticle
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Leveraging Geo-Nlp for Enhanced Antiretroviral Drug Distribution in Nigeria_ Insights from Social Media and News Data.pdf
Size:
776.16 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
2024 Proceedings