Mathematical modelling in epidemiology | Wikipedia audio article

This is an audio version of the Wikipedia Article:
https://en.wikipedia.org/wiki/Mathema...


00:01:06 1 History
00:02:13 2 Assumptions
00:03:19 3 Types of epidemic models
00:03:53 3.1 Stochastic
00:04:59 3.2 Deterministic
00:06:06 4 Reproduction number
00:07:12 5 Endemic steady state
00:08:19 6 Modelling epidemics
00:09:59 6.1 The SIR model
00:11:05 6.2 Steady state solutions
00:13:18 6.3 Other compartmental models
00:14:58 7 Infectious disease dynamics
00:16:05 8 Mathematics of mass vaccination
00:17:11 8.1 When mass vaccination cannot exceed the herd immunity
00:20:31 8.2 When mass vaccination exceeds the herd immunity
00:22:11 9 See also
00:23:18 10 References



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SUMMARY
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Mathematical models can project how infectious diseases progress to show the likely outcome of an epidemic and help inform public health interventions. Models use some basic assumptions and mathematics to find parameters for various infectious diseases and use those parameters to calculate the effects of different interventions, like mass vaccination programmes. The modelling can help in deciding which intervention/s to avoid and which to trial.