1 00:00:10,940 --> 00:00:14,540 PROFESSOR: In Chapter 3, we will study epidemiological models, 2 00:00:14,540 --> 00:00:17,720 which describe the spread of an infection 3 00:00:17,720 --> 00:00:23,150 and then the recovery from that infection in a population. 4 00:00:23,150 --> 00:00:26,140 And the traditional epidemiological models 5 00:00:26,140 --> 00:00:27,920 that we will study for populations, 6 00:00:27,920 --> 00:00:32,090 and also adapt to indoor spaces, involve 7 00:00:32,090 --> 00:00:35,940 keeping track of compartments or subgroups of populations, 8 00:00:35,940 --> 00:00:38,290 such as the number of susceptible people, 9 00:00:38,290 --> 00:00:41,990 the number of infected, exposed, and recovered. 10 00:00:41,990 --> 00:00:44,690 So for example, an infected person 11 00:00:44,690 --> 00:00:48,170 can expose a susceptible, and then 12 00:00:48,170 --> 00:00:51,320 the exposed person can themselves become infected, 13 00:00:51,320 --> 00:00:53,150 or they may eventually recover. 14 00:00:53,150 --> 00:00:55,840 And there are various rates for these different processes. 15 00:00:55,840 --> 00:00:57,890 And this leads to a set of nonlinear differential 16 00:00:57,890 --> 00:01:01,700 equations that describe the evolution and growth, and then 17 00:01:01,700 --> 00:01:05,620 ultimately decay, of an epidemic.