Open Access
Issue |
ITM Web Conf.
Volume 71, 2025
International Conference on Mathematics, its Applications and Mathematics Education (ICMAME 2024)
|
|
---|---|---|
Article Number | 01014 | |
Number of page(s) | 11 | |
DOI | https://doi.org/10.1051/itmconf/20257101014 | |
Published online | 06 February 2025 |
- R. Miggiano, M. Rizzi and D. M. Ferraris, Mycobacterium tuberculosis pathogenesis, infection prevention and treatment. Pathogens. 9, 385 (2020) [CrossRef] [Google Scholar]
- World Health Organization, Global tuberculosis report 2021: supplementary material., World Health Organization., 2022. [Google Scholar]
- J. M. Trauer, P. J. Dodd, M. G. M. Gomes, G. B. Gomez, R. M. Houben, E. S. McBryde, Y. A. Melsew, Nicolas A Menzies, N. Arinaminpathy, S. Shrestha and D. W. Dowdy, The importance of heterogeneity to the epidemiology of tuberculosis. Clin. Infect. Dis. 69, 15 (2019) [Google Scholar]
- N. K. Dutta and P. C. Karakousis, Latent tuberculosis infection: myths, models, and molecular mechanisms. Micro. Mol. Biol. Rev. 78, 343 (2014) [CrossRef] [Google Scholar]
- S. R. Sagavkar and S. R. Devkar, Tuberculosis: A review. Asian J. Pharm. Res. 8, 191 (2018) [CrossRef] [Google Scholar]
- K. M. Laycock, L. A. Enane and A. P. Steenhoff, Tuberculosis in adolescents and young adults: Emerging data on TB transmission and prevention among vulnerable young people. Tropic. Med. Infect. Dis. 6, 148 (2021) [CrossRef] [Google Scholar]
- L. Gordis, Epidemiology e-book, Elsevier Health Sciences, 2013. [Google Scholar]
- J. T. Wu, K. Leung and Gabriel M Leung, Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study. The Lancet. 395, 689 (2020) [CrossRef] [Google Scholar]
- K. J. Rothman, S. Greenland and T. L. Lash, Modern epidemiology (Vol. 3), Philadelphia: Wolters Kluwer Health/Lippincott Williams & Wilkins., 2018. [Google Scholar]
- A. Manna, L. D. Amico, M. Tizzoni, M. Karsai and N Perra, “Generalized contact matrices for epidemic modeling,” ArXiv Preprint ArXiv:2306.17250., vol. arXiv:2306.17250v1, pp. 1–34, 2023. [Google Scholar]
- P. Klepac, A. J. Kucharski, A. J. Conlan, S. Kissler, M. L. Tang, H. Fry and J. R. Gog, Contacts in context: large-scale setting-specific social mixing matrices from the BBC Pandemic project. MedRxiv. 2, 1 (2020) [Google Scholar]
- L. Pang, S. Liu., X. Zhang, T. Tian and Z. Zhao, Transmission dynamics and control strategies of COVID-19 in Wuhan, China. J. Biol. Syst. 28, 543 (2020) [CrossRef] [Google Scholar]
- M. B. Dunbar, Transmission matrices used in epidemiologic modelling. Infectious Disease Modelling. Infect. Dis. Mod. 9, 185 (2024) [CrossRef] [Google Scholar]
- K. M. Gostic., L. McGough., E. B. Baskerville., S. Abbott., K. Joshi., C. Tedijanto., R. Kahn., R. Niehus., J. A. Hay, P. M. D. Salazar, J. Hellewell, S. Meakin, J. D. Munday and S. Cobey, Practical considerations for measuring the effective reproductive number, R t. PLoS comput. biol. 16, 1 (2020) [Google Scholar]
- S. Hu, W. Wang, Y. Wang, M. Litvinova, K. Luo, L. Ren, Q. Sun, X. Chen, G. Zeng, J. Li, L. Liang, Z. Deng, W. Zheng, M. Li, H. Yang, J. Guo, K. Wang, X. Chen and Z. Liu, Infectivity, susceptibility, and risk factors associated with SARS-CoV-2 transmission under intensive contact tracing in Hunan, China. Nature communications. 1533, 1 (2021) [Google Scholar]
- G. Albi, L. Pareschi and M. Zanella, Control with uncertain data of socially structured compartmental epidemic models. J. Math. Biol. 82, 1 (2021) [CrossRef] [Google Scholar]
- J. Hilton and M. J. Keeling, Estimation of country-level basic reproductive ratios for novel Coronavirus (SARS-CoV-2/COVID-19) using synthetic contact matrices. PLoS comput. biol. 16, 1 (2020) [Google Scholar]
- Hazim. H. Hussain, N. T. Ibraheem, N. K. F. Al-Rubaey, M. M. Radhi, N. K. K. Hindi. and R. H. K. AL-Jubori, A review of airborne contaminated microorganisms associated with human diseases. Med. J. Babylon. 19, 115 (2022) [CrossRef] [Google Scholar]
- C. F. Ogbuka, J. C. Ozougwu, .. Jesicca Ezinne Ekeleme, E. U. Ogwo and U. Azunnaa, Bacteria Agents of Respiratory Tract Infection Among Sanitary Worker in Uturu, Abia State. Int. J. Innov. Sci. Res. Tech. 8, 2299 (2023) [Google Scholar]
- K. Randall, E. T. Ewing., L. C. Marr, J. L. Jimenez and L. Bourouiba, How did we get here: what are droplets and aerosols and how far do they go? A historical perspective on the transmission of respiratory infectious diseases. Interface Focus. 11, 1 (2021) [Google Scholar]
- S. Sanche, Y. T. Lin, C. Xu., E. Romero-Severson, N. W. Hengartner and R. Ke, “The novel coronavirus, 2019-nCoV, is highly contagious and more infectious than initially estimated,” arXiv preprint arXiv, pp. 1–34, 2020. [Google Scholar]
- M. M. Ojo, O. J. Peter, E. F. D. Goufo, H. S. Panigoro. and F. A. Oguntolu, Mathematical model for control of tuberculosis epidemiology. J. Appl. Math. Comput. 69, 69 (2023) [CrossRef] [MathSciNet] [Google Scholar]
- G. Alba., T. Alonzi., G. Alter., D. M. Noonan., A. L. Landay., A. Albini. and D. Goletti, Impact of aging on immunity in the context of COVID-19, HIV, and tuberculosis. Front. Immuno. 14, 1 (2023) [Google Scholar]
- A. Malek and A. Hoque, Mathematical model of tuberculosis with seasonality, detection, and treatment. Inform. Med. Unlock. 49, 1 (2024) [CrossRef] [Google Scholar]
- M. Szklo and F. J. Nieto, Epidemiology: beyond the basics, Jones & Bartlett Publishers., 2014. [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.