Mathematical Modeling in Public Health Epidemiology
Siller HS, Elschenbroich HJ, Greefrath G, Vorhölter K. Mathematical modelling of exponential growth as a rich learning environment for mathematics […]
AI in Public Health-Academic Perspective
Bavli I, Galea S. Key considerations in the adoption of Artificial Intelligence in public health. PLOS Digit Health. 2024 Jul
Disease modeling and epidemiology
Hiram Guzzi P, Petrizzelli F, Mazza T. Disease spreading modeling and analysis: a survey. Brief Bioinform. 2022 Jul 18;23(4):bbac230. doi:
SIR model and epidemics
Parsons TL, Bolker BM, Dushoff J, Earn DJD. The probability of epidemic burnout in the stochastic SIR model with vital
Compartmental models in epidemiology
Robinson B, Bisaillon P, Edwards JD, Kendzerska T, Khalil M, Poirel D, Sarkar A. A Bayesian model calibration framework for
Epidemic surveillance, epidemic graph diagrams, epidemic control
Valdano E, Colombi D, Poletto C, Colizza V. Epidemic graph diagrams as analytics for epidemic control in the data-rich era.
PATAT, mathematical modeling, cost-effectiveness, COVID-19 self-testing
Hansen MA, Han AX, Chevalier JM, et al. Cost-effectiveness of SARS-CoV-2 self-testing at routine gatherings to minimize community-level infections in
Discrete mathematics used with health topic
Okui N. Innovative decision making tools using discrete mathematics for stress urinary incontinence treatment. Sci Rep. 2024 Apr 30;14(1):9900. doi:
Utility of discrete mathematics in public health epidemiology
I am finding discrete mathematics to be very useful. Please let me share a fact sheet I made for myself
Reproduction Number (Ro)
Reproduction number (Ro) represents the average number of successful transmissions per infectious person (Vynnycky and White 2010). Practically, it serves
