From Group Intervention to Precision Strike: Insights from Ebola Virus for Future Infectious Disease Management
DOI:
https://doi.org/10.62051/w2yw7a07Keywords:
Ebola virus; Traditional medicine; Precision medicine; Rapid diagnosis; Targeted therapy; Multi-omics technology; Infectious disease prevention and control.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.
Downloads
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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: 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 DOI: 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 DOI: 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 DOI: 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 DOI: 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 DOI: 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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: 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. DOI: https://doi.org/10.1016/j.ajhg.2022.08.003
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Transactions on Materials, Biotechnology and Life Sciences

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.






