Designing, Implementing and Optimising a Capacity‑Building Model for Infectious Disease Modelling in India
References
- IHME Pathogen Core Group. Global burden associated with 85 pathogens in 2019: A systematic analysis for the Global Burden of Disease Study 2019. Lancet Infect Dis. 2024;24(8):868–895.
- Han JJ, Song HA, Pierson SL, Shen‑Gunther J, Xia Q. Emerging infectious diseases are virulent viruses—Are we prepared? An overview. Microorganisms. 2023;11(11):2618.
- Pagel C, Yates CA. Role of mathematical modelling in future pandemic response policy. BMJ. 2022;378:e070615.
- IHME COVID‑19 Forecasting Team. Modeling COVID‑19 scenarios for the United States. Nat Med. 2021;27(1):94–105.
- Sweileh WM. Global research activity on mathematical modeling of transmission and control of 23 selected infectious disease outbreak. Glob Health. 2022;18(1):4.
- Kretzschmar M. Disease modeling for public health: Added value, challenges, and institutional constraints. J Public Health Pol. 2020;41(1):39–51. doi:10.1057/s41271-019-00206-0.
- Adetokunboh OO, Mthombothi ZE, Dominic EM, Djomba‑Njankou S, Pulliam JRC. African based researchers’ output on models for the transmission dynamics of infectious diseases and public health interventions: A scoping review. PLoS One. 2021;16(5):e0250086. doi:10.1371/journal.pone.0250086.
- Silal S, Bardsley C, Menon R, Abdullahi L, White L. Epidemiological modelling for public health decision making in sub‑Saharan Africa. A strategic plan for capacity strengthening. Published May 2022. Accessed December 14, 2024.
https://www.opml.co.uk/files/Projects/a4964-epidem-modelling-capacity-strengthening.pdf?noredirect=1 . - Ofori SK, Dankwa EA, Ngwakongnwi E, et al. Evidence‑based decision making: Infectious disease modeling training for policymakers in East Africa. Ann Glob Health. 2024;90(1):22. doi:10.5334/aogh.4383.
- Knight GM, Dharan NJ, Fox GJ, et al. Bridging the gap between evidence and policy for infectious diseases: How models can aid public health decision‑making. Int J Infect Dis. 2016;42:17–23. doi:10.1016/j.ijid.2015.10.024.
- Kotwal A, Yadav AK, Yadav J, Kotwal J, Khune S. Predictive models of COVID‑19 in India: A rapid review. Med J Armed Forces India. 2020;76(4):377–386. doi:10.1016/j.mjafi.2020.06.001.
- Indian Scientists Response to COVID‑19. India: modelling COVID‑19 spread. Accessed December 14, 2024.
https://indscicov.in/about-us/ . - National Disease Modelling Consortium. Indian Institute of Technology Mumbai. Accessed December 14, 2024.
https://www.ndmconsortium.com/aboutus/ . - Kolb DA. Experiential Learning. Prentice Hall; 1984.
- Saldana J. The Coding Manual for Qualitative Research. SAGE Publications; 2010.
DOI: https://doi.org/10.5334/aogh.4606 | Journal eISSN: 2214-9996
Language: English
Submitted on: Nov 5, 2024
Accepted on: Dec 15, 2024
Published on: Dec 30, 2024
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
© 2024 Jaya Prasad Tripathy, PVM Lakshmi, Tanu Anand, Pradeep R Deshmukh, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.