Comprehensive review and early detection strategies for severe fever with thrombocytopenia: insights from epidemiology, diagnostics, and evolving research with machine learning
- PMID: 41018215
- PMCID: PMC12474768
- DOI: 10.1007/s13337-025-00920-2
Comprehensive review and early detection strategies for severe fever with thrombocytopenia: insights from epidemiology, diagnostics, and evolving research with machine learning
Abstract
Severe Fever with Thrombocytopenia Syndrome (SFTS) is a neglected tick-borne viral infection caused by Bandavirus dabieense (formerly known as Huaiyangshan banyangvirus and Dabie bandavirus), with the potential for endemic and pandemic transmission through ticks to humans, animals to humans, and human-to-human routes. Low platelet counts in patients (< 150,000 platelets/mm3) lead to severe complications, with a global case fatality ratio of 20-30%. This review aims to summarize Bandavirus dabieense, focusing on its epidemiology, global prevalence, and the impact of geographical and demographic factors on transmission. We conducted a systematic review and bibliometric analysis using the PRISMA framework and Scopus database. The study explores transmission routes of Bandavirus dabieense, diagnostic methods, treatments, and challenges, with an emphasis on machine learning (ML) for diagnosis and awareness initiatives. The results reveal global Bandavirus dabieense prevalence, transmission modes, diagnostic advancements, vector controls, and early detection hurdles. Bibliometric analysis identifies knowledge gaps and emphasizes the study's relevance. The review underscores the importance of understanding and addressing Bandavirus dabieense, advocating for proactive measures such as ML for diagnosis, recommendations for future work, and effective elimination strategies. Heightened awareness and comprehensive research are vital to mitigate the public health impact and reduce mortality associated with Bandavirus dabieense.
Keywords: Acute febrile illness; Healthcare; Machine learning; Mortality prediction; Thrombocytopenia.
© The Author(s), under exclusive licence to Indian Virological Society 2025. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
Conflict of interest statement
Conflict of interestThe authors declare that there is no conflict of interest.
References
-
- He Z, Wang B, Li Y, Du Y, Ma H, Li X, et al. Severe fever with thrombocytopenia syndrome: a systematic review and meta-analysis of epidemiology, clinical signs, routine laboratory diagnosis, risk factors, and outcomes. BMC Infect Dis [Internet]. 2020 Aug 5 [cited 2022 Oct 17];20(1):1–12. Available from: https://bmcinfectdis.biomedcentral.com/articles/10.1186/s12879-020-05303-0 - PMC - PubMed
-
- Liu W, Dai K, Wang T, Zhang H, Wu J, Liu W, et al. Severe fever with thrombocytopenia syndrome incidence could be associated with ecotone between forest and cultivated land in rural settings of central China. Ticks Tick Borne Dis. 2023;14(2): 102085. - PubMed
-
- Fang L, Yu S, Tian X, Fu W, Su L, Chen Z, et al. Severe fever with thrombocytopenia syndrome virus replicates in platelets and enhances platelet activation. J Thromb Haemost. 2023;21(5):1336–51. - PubMed
-
- Lee K, Seok JH, Kim H, Park S, Lee S, Bae J-Y, et al. Genome-informed investigation of the molecular evolution and genetic reassortment of severe fever with thrombocytopenia syndrome virus. PLoS Negl Trop Dis [Internet]. 2023 Sep 15 [cited 2023 Sep 29];17(9):e0011630. Available from: https://journals.plos.org/plosntds/article?id=10.1371/journal.pntd.0011630 - PMC - PubMed
-
- Liu Z, Zhang R, Zhou W, Ma R, Han L, Zhao Z, et al. High levels of C-reactive protein-to-albumin ratio (CAR) are associated with a poor prognosis in patients with severe fever with thrombocytopenia syndrome in early stage. J Med Virol [Internet]. 2022 Nov 1 [cited 2023 Sep 22];94(11):5375–84. Available from: https://onlinelibrary.wiley.com/doi/full/10.1002/jmv.27972 - PMC - PubMed
Publication types
LinkOut - more resources
Full Text Sources
