Using X Social Networks and web news mining to predict Marburg virus disease outbreaks

Mohammad Jokar , Kia Jahanbin , Vahid Rahmanian

Asian Pacific Journal of Tropical Medicine ›› 2025, Vol. 18 ›› Issue (2) : 96 -98.

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Asian Pacific Journal of Tropical Medicine ›› 2025, Vol. 18 ›› Issue (2) : 96 -98. DOI: 10.4103/apjtm.apjtm_673_24
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Using X Social Networks and web news mining to predict Marburg virus disease outbreaks

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Mohammad Jokar, Kia Jahanbin, Vahid Rahmanian. Using X Social Networks and web news mining to predict Marburg virus disease outbreaks. Asian Pacific Journal of Tropical Medicine, 2025, 18(2): 96-98 DOI:10.4103/apjtm.apjtm_673_24

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Conflict of interest statement

The authors declare no competing interests.

Funding

This study did not receive any external funding.

Authors' contributions

KJ and VR were responsible for the conceptualization and planning of the study. MJ took on the role of searching and screening the relevant literature. Data collection was managed by KJ, while VR contributed to data analysis. Both VR and MJ assisted with the interpretation of the data. The manuscript was written by MJ, KJ, and VR, who also contributed to the revision process. All authors reviewed and approved the final manuscript.

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The Publisher of the Journal remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

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Cuomo-Dannenburg G, McCain K, McCabe R, Unwin HJT, Doohan P, Nash RK, et al. Marburg virus disease outbreaks, mathematical models, and disease parameters: A systematic review. Lancet Infect Dis 2023; 24(5): e307-e317.

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World Health Organization. Marburg virus disease 2024. [Online]. Available from: https://www.afro.who.int/countries/rwanda/news/rwanda-reports-first-ever-marburg-virus-disease-outbreak-26-cases-confirmed. [Accessed on 28 September 2024].

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Kortepeter MG, Dierberg K, Shenoy ES, Cieslak TJ. Marburg virus disease: A summary for clinicians. Int J Infect Dis 2020; 99: 233-242.

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