Open Access
Issue |
BIO Web Conf.
Volume 117, 2024
International Conference on Life Sciences and Technology (ICoLiST 2023)
|
|
---|---|---|
Article Number | 01002 | |
Number of page(s) | 10 | |
DOI | https://doi.org/10.1051/bioconf/202411701002 | |
Published online | 05 July 2024 |
- Lu, W., Yu, S., Liu, H., Suo, L., & Tang, K. (2021). Survival Analysis and Risk Factors in COVID-19. Disaster Med Public Health Prep, 1-6. [Google Scholar]
- Bernal, J. L., Andrews, N., Gower, C., & Gallagher, E. (2021). Effectiveness of Covid-19 Vaccines against the B.1.617.2 (Delta) Variant. The New England Journal of Medicine(385), 585-594. [Google Scholar]
- Araf, Y., Akter, F., Tang, Y.-d., Parvez, M.S., Zheng, C., & Hossain, M.G. (2022). Omicron variant of SARS-CoV-2: Genomics, transmissibility, and responses to current COVID-19 vaccines. J Med Virol, 94(5), 1825-1832. [CrossRef] [PubMed] [Google Scholar]
- Bintoro, S. U., Dwijayanti, N. M., Pramuda, D., & Amrita, P.N. (2021). Hematologic and coagulopathy parameter as a survival predictor among moderate to severe COVID-19 patients in the non-ICU ward: a single-center study at the main referral hospital in Surabaya, East Java, Indonesia. PubMed Central, 10, 791. [Google Scholar]
- Soeroso, R. M., & Sulistiadi, W. (2022). Strategi Rumah Sakit di Indonesia dalam Mengatasi Kenaikan Kasus COVID-19 Varian Omicron: Literature Review. Media Publikasi Promosi Kesehatan Indonesia, 5(4), 352. [CrossRef] [Google Scholar]
- Albana, A. S., & Azhari, S. (2020). Prediksi Penyebaran COVID-19 Kota Surabaya dengan Simulasi Monte Carlo. Journal of Advances in Information and Industrial Technology (JAIIT), 2(1), 36-42. [CrossRef] [Google Scholar]
- Kleinbaum, D. G., & Klein, M. (2012). Survival Analysis A Self-Learning Text (3rd ed.). New York: Springer. [CrossRef] [Google Scholar]
- Hosmer, D., Lemeshow, S., & May, S. (2008). Applied Survival Analysis. Wiley: Hoboken. [CrossRef] [Google Scholar]
- Collet, D. (2003). Modeling Survival Data in Medical Research (2nd ed.). London: Chapman Hall/CRS A CRC Press Company. [Google Scholar]
- Klein, J.P., and Moeschberger, M.L. (2003). Survival Analysis Techniques for Censored and Truncated Data (2nd.ed.). New York: Springer. [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.