A deterministic Susceptible–Infected–Recovered model for studying the impact of media on epidemic dynamics
- DOI
- 10.1016/j.health.2023.100189
- Published
- 11
- Container
- Healthcare Analytics
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.health.2023.100189,
title = {A deterministic Susceptible–Infected–Recovered model for studying the impact of media on epidemic dynamics},
author = {Anna D. Fome and Herieth Rwezaura and Mamadou L. Diagne and Shannon Collinson and Jean M. Tchuenche},
year = {2023},
journal = {Healthcare Analytics},
doi = {10.1016/j.health.2023.100189},
url = {https://doi.org/10.1016/j.health.2023.100189}
}RIS
TY - JOUR TI - A deterministic Susceptible–Infected–Recovered model for studying the impact of media on epidemic dynamics AU - Anna D. Fome AU - Herieth Rwezaura AU - Mamadou L. Diagne AU - Shannon Collinson AU - Jean M. Tchuenche PY - 2023 JO - Healthcare Analytics DO - 10.1016/j.health.2023.100189 UR - https://doi.org/10.1016/j.health.2023.100189 ER -
APA
Fome, A. D., Rwezaura, H., Diagne, M. L., Collinson, S., & Tchuenche, J. M. (2023). A deterministic Susceptible–Infected–Recovered model for studying the impact of media on epidemic dynamics. Healthcare Analytics. https://doi.org/10.1016/j.health.2023.100189
Source records
- doaj · retrieved 2026-09-26T09:49:45.123Z