Mathematical modelling in epidemiology | Wikipedia audio article скачать в хорошем качестве

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 Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: increases imagination and understanding improves your listening skills improves your own spoken accent learn while on the move reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: https://assistant.google.com/services... Other Wikipedia audio articles at: https://www.youtube.com/results?searc... Upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts Speaking Rate: 0.7546177147860494 Voice name: en-US-Wavenet-D "I cannot teach anybody anything, I can only make them think." Socrates SUMMARY ======= 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.