From Group Intervention to Precision Strike: Insights from Ebola Virus for Future Infectious Disease Management

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Abstract: The 2014–2016 West African Ebola outbreak exposed systemic deficiencies in traditional public health approaches to managing highly lethal infectious diseases, while also marking a transformative turning point for breakthroughs in precision medicine technologies. This study systematically examines the Ebola virus, analyzing its transmission scale and historical challenges in containment. By comparing the effectiveness of traditional medical interventions with rapid diagnostics and targeted therapies, this paper highlights the critical role of precision medicine in infectious disease prevention and control. Research findings demonstrate that CRISPR-based on-site detection significantly reduces diagnostic time, monoclonal antibody drugs (e.g., REGN-EB3) lower mortality rates from 49% to 29%, and multi-omics-driven host-pathogen interaction analyses provide novel pathways for high-risk population screening and personalized vaccine design. Further exploration reveals that precision medicine is shifting infectious disease management from "passive response" to "precision intervention." Finally, article proposes that future infectious disease prevention and control can establish a "prediction-warning-precision intervention" trinity framework, with the expectation of providing reference and basis for subsequent related research.
Keywords: Ebola virus; Traditional medicine; Precision medicine; Rapid diagnosis; Targeted therapy; Multi-omics technology; Infectious disease prevention and control.
APA Citation: Rongwei Yuan (2026). From Group Intervention to Precision Strike: Insights from Ebola Virus for Future Infectious Disease Management. Transactions on Materials, Biotechnology and Life Sciences, 9(1), 21-28. https://doi.org/10.62051/w2yw7a07

References

  1. WHO. (2016). Ebola Situation Report: 30 March 2016. https://iris.who.int/handle/10665/204714
  2. World bank.(2015).Urbanization and Cross-Border Mobility in West Africa. https://databank.worldbank.org/ source/west-africa-mobility
  3. Gire, S. K., Goba, A., Andersen, K. G., Sealfon, R. S., Park, D. J., Kanneh, L., ... & Sabeti, P. C. (2014). Genomic surveillance elucidates Ebola virus origin and transmission during the 2014 outbreak. Science, 345(6202), 1369-1372.https://www.science.org/doi/10.1126/science.1259657
  4. Centers for Disease Control and Prevention (CDC). (2014). Ebola virus persistence in the environment.Retrieved fromhttps://www.cdc.gov/vhf/ebola/index.html
  5. Mulangu, S., Dodd, L. E., Davey Jr, R. T., Tshiani Mbaya, O., Proschan, M., Mukadi, D., ... & PALM Writing Group. (2019). A randomized, controlled trial of Ebola virus disease therapeutics. New England Journal of Medicine, 381(24), 2293-2303.DOI: 10.1056/NEJMoa1910993
  6. Gootenberg J S, Abudayyeh O O, Lee J W, et al. Nucleic acid detection with CRISPR-Cas13a/C2c2[J]. Science, 2017, 356(6336): 438-442. DOI: 10.1126/science.aam9321
  7. Zhao Lina Sherlock Holmes in Virus Detection - SHERLOCK System Based on CRISPR.(2020). http://www.cnipr.com/ sj/jd/202002/t20200225_237853.html
  8. Kellner, M.J., Koob, J.G., Gootenberg, J.S. et al. SHERLOCK: nucleic acid detection with CRISPR nucleases. Nat Protoc 14, 2986–3012 (2019). https://doi.org/10.1038/s41596-019-0210-2
  9. Quick, J., Loman, N., Duraffour, S. et al. Real-time, portable genome sequencing for Ebola surveillance. Nature 530 (7589), 228–232 (2016). https://doi.org/10.1038/nature16996
  10. Merler, S., Ajelli, M., Fumanelli, L., Parlamento, S., Pastore y Piontti, A., Dean, N. E., ... & Halloran, M. E. (2016). Containing Ebola at the source with ring vaccination. PLoS Neglected Tropical Diseases, 10(11), e0005093. https://doi.org/10.1371/journal.pntd.0005093
  11. Sabeti, P. C., Schaffner, S. F., Fry, B., Lohmueller, J., Varilly, P., Shamovsky, O., ... & Lander, E. S. (2016). Host genetic determinants of Ebola virus pathogenesis. Cell, 167(3), 610-624. DOI: [10.1016/j.cell.2016.07.013
  12. Thadani, N.N., Gurev, S., Notin, P. et al. Learning from prepandemic data to forecast viral escape. Nature 622, 818–825 (2023). https://doi.org/10.1038/s41586-023-06617-0
  13. LeCun, Y., Bengio, Y. & Hinton, G. Deep learning. Nature 521, 436–444 (2015). https://doi.org/10.1038/ nature14539
  14. Zeng Xianghe, Dong Lanxia, He Xinyuan, He Hui, Liu Chang, Guo Husong ..&Fan Xiangyu. Visual analysis of viromics research trends and hotspots based on CiteSpace. Microbiological Bulletin,1-18.doi:10.13344/j.microbiol.china.241142.
  15. Li, Y., Zhang, D., Yang, M. et al. scBridge embraces cell heterogeneity in single-cell RNA-seq and ATAC-seq data integration. Nat Commun 14, 6045 (2023). https://doi.org/10.1038/s41467-023-41795-5
  16. Wang, Y., Baars, I., Berzina, I. et al. A DNA robotic switch with regulated autonomous display of cytotoxic ligand nanopatterns. Nat. Nanotechnol. 19, 1366–1374 (2024). https://doi.org/10.1038/s41565-024-01676-4
  17. Daniel S. Chertow, M.D., M.P.H., Christian Kleine, M.D., Jeffrey K. Edwards, M.D., M.P.H., Roberto Scaini, M.D., Ruggero Giuliani, M.D., and Armand Sprecher, M.D., M.P.H.(2014). Ebola virus disease in West Africa—clinical manifestations and management. New England Journal of Medicine, 371(22), 2054–2057.DOI: 10.1056/NEJMp1413084
  18. Eubank S, Lewis BL. Modeling the impact of interventions on an epidemic of ebola in sierra leone and liberia. PLoS Curr. (2014)doi: 10.1371/currents.outbreaks.fd38dd85078565450b0be3fcd78f5ccf
  19. Merler, S., Ajelli, M., Fumanelli, L., Parlamento, S., Pastore y Piontti, A., Dean, N. E., ... & Halloran, M. E. (2016). Containing Ebola at the source with ring vaccination. PLoS Neglected Tropical Diseases, 10(11), e0005093. https://doi.org/10.1371/journal.pntd.0005093
  20. Kingsmore SF, Smith LD, Kunard CM, Bainbridge M, Batalov S, Benson W, Blincow E, Caylor S, Chambers C, Del Angel G, Dimmock DP, Ding Y, Ellsworth K, Feigenbaum A, Frise E, Green RC, Guidugli L, Hall KP, Hansen C, Hobbs CA, Kahn SD, Kiel M, Van Der Kraan L, Krilow C, Kwon YH, Madhavrao L, Le J, Lefebvre S, Mardach R, Mowrey WR, Oh D, Owen MJ, Powley G, Scharer G, Shelnutt S, Tokita M, Mehtalia SS, Oriol A, Papadopoulos S, Perry J, Rosales E, Sanford E, Schwartz S, Tran D, Reese MG, Wright M, Veeraraghavan N, Wigby K, Willis MJ, Wolen AR, Defay T. A genome sequencing system for universal newborn screening, diagnosis, and precision medicine for severe genetic diseases. Am J Hum Genet. (2022)Sep 1;109(9):1605-1619. doi: 10.1016/j.ajhg.2022.08.003.