WEBVTT 00:00:00.782 --> 00:00:04.160 The first patient to be treated with an antibiotic 00:00:04.160 --> 00:00:06.403 was a policeman from Oxford. 00:00:06.403 --> 00:00:07.900 On his day off from work, 00:00:07.900 --> 00:00:11.533 he was scratched by a rose thorn while working in the garden. 00:00:11.533 --> 00:00:14.848 That small scratch became infected. 00:00:14.848 --> 00:00:17.163 Over the next few days, his head was swollen 00:00:17.163 --> 00:00:18.884 with abscesses, 00:00:18.884 --> 00:00:21.167 and in fact his eye was so infected 00:00:21.167 --> 00:00:23.057 that they had to take it out, 00:00:23.057 --> 00:00:26.038 and by February of 1941, 00:00:26.038 --> 00:00:28.827 this poor man was on the verge of dying. 00:00:28.827 --> 00:00:31.685 He was at Radcliffe Infirmary in Oxford, 00:00:31.685 --> 00:00:33.991 and fortunately for him, 00:00:33.991 --> 00:00:35.701 a small team of doctors 00:00:35.701 --> 00:00:37.410 led by a Dr. Howard Florey 00:00:37.410 --> 00:00:38.997 had managed to synthesize 00:00:38.997 --> 00:00:41.820 a very small amount of penicillin, 00:00:41.820 --> 00:00:43.901 a drug that had been discovered 00:00:43.901 --> 00:00:46.223 12 years before by Alexander Fleming 00:00:46.223 --> 00:00:49.930 but had never actually been used to treat a human, 00:00:49.930 --> 00:00:52.720 and indeed no one even knew if the drug would work, 00:00:52.720 --> 00:00:56.072 if it was full of impurities that would kill the patient, 00:00:56.072 --> 00:00:57.894 but Florey and his team figured 00:00:57.894 --> 00:00:59.616 if they had to use it, they might as well use it 00:00:59.616 --> 00:01:02.181 on someone who was going to die anyway. NOTE Paragraph 00:01:02.181 --> 00:01:05.836 So they gave Albert Alexander, 00:01:05.836 --> 00:01:08.715 this Oxford policeman, the drug, 00:01:08.715 --> 00:01:11.132 and within 24 hours, 00:01:11.132 --> 00:01:13.394 he started getting better. 00:01:13.394 --> 00:01:18.060 His fever went down, his appetite came back. 00:01:18.060 --> 00:01:20.613 Secondly, he was doing much better. 00:01:20.613 --> 00:01:22.391 He was starting to run out of penicillin, 00:01:22.391 --> 00:01:24.213 so what they would do was run with his urine 00:01:24.213 --> 00:01:26.463 across the road to re-synthesize the penicillin 00:01:26.463 --> 00:01:28.768 from his urine and give it back to him, 00:01:28.768 --> 00:01:30.186 and that worked. 00:01:30.186 --> 00:01:32.706 Day four, well on the way to recovery. 00:01:32.706 --> 00:01:34.494 This was a miracle. 00:01:34.494 --> 00:01:38.037 Day five, they ran out of penicillin, 00:01:38.037 --> 00:01:40.637 and the poor man died. NOTE Paragraph 00:01:40.637 --> 00:01:43.089 So that story didn't end that well, 00:01:43.089 --> 00:01:47.610 but fortunately for millions of other people 00:01:47.610 --> 00:01:49.376 like this child who was treated again 00:01:49.376 --> 00:01:51.221 in the early 1940s, 00:01:51.221 --> 00:01:54.056 who was again dying of abscesses, 00:01:54.056 --> 00:01:56.890 and within just six days, you can see, 00:01:56.890 --> 00:02:00.243 recovered thanks to this wonder drug penicillin. 00:02:00.243 --> 00:02:02.201 Millions have lived, 00:02:02.201 --> 00:02:06.115 and global health has been transformed. 00:02:06.115 --> 00:02:08.578 Now, antibiotics have been used 00:02:08.578 --> 00:02:11.705 for patients like this, 00:02:11.705 --> 00:02:13.842 but they've also been used rather frivolously 00:02:13.842 --> 00:02:15.586 in some instances 00:02:15.586 --> 00:02:17.949 for treating someone with just a cold or the flu 00:02:17.949 --> 00:02:20.423 which they might not have responded to an antibiotic, 00:02:20.423 --> 00:02:24.461 and they've also been used in large quantities 00:02:24.461 --> 00:02:27.803 sub-therapeutically, which means in small concentrations, 00:02:27.803 --> 00:02:30.986 to make chicken and hogs grow faster. 00:02:30.986 --> 00:02:34.552 Just to save a few pennies on the price of meat, 00:02:34.552 --> 00:02:37.172 we've spent a lot of antibiotics on animals, 00:02:37.172 --> 00:02:39.614 not for treatment, not for sick animals, 00:02:39.614 --> 00:02:42.730 but primarily for growth promotion. NOTE Paragraph 00:02:42.730 --> 00:02:45.587 Now, what did that lead us to? 00:02:45.587 --> 00:02:48.298 Basically, the massive use of antibiotics 00:02:48.298 --> 00:02:50.143 around the world 00:02:50.143 --> 00:02:53.697 has imposed such large selection pressure on bacteria 00:02:53.697 --> 00:02:56.059 that resistance is now a problem, 00:02:56.059 --> 00:02:58.005 because we've now selected for just 00:02:58.005 --> 00:02:59.985 the resistant bacteria. NOTE Paragraph 00:02:59.985 --> 00:03:03.315 And I'm sure you've all read about this in the newspapers, 00:03:03.315 --> 00:03:04.819 you've seen this in every magazine 00:03:04.819 --> 00:03:06.528 that you come across, 00:03:06.528 --> 00:03:08.328 but I really want you to appreciate 00:03:08.328 --> 00:03:10.499 the significance of this problem. 00:03:10.499 --> 00:03:11.950 This is serious. 00:03:11.950 --> 00:03:13.806 The next slide I'm about to show you 00:03:13.806 --> 00:03:17.035 is of carbapenum resistance in acinetobacter. 00:03:17.035 --> 00:03:19.284 Acinetobacter is a nasty hospital bug, 00:03:19.284 --> 00:03:20.747 and carbapenum is pretty much 00:03:20.747 --> 00:03:22.265 the strongest class of antibiotics 00:03:22.265 --> 00:03:25.111 that we can throw at this bug. 00:03:25.111 --> 00:03:28.059 And you can see in 1999, 00:03:28.059 --> 00:03:30.185 this is the pattern of resistance, 00:03:30.185 --> 00:03:33.638 mostly under about 10 percent across the United States. 00:03:33.638 --> 00:03:37.215 Now watch what happens when we play the video. NOTE Paragraph 00:03:46.461 --> 00:03:48.516 So I don't know where you live, 00:03:48.516 --> 00:03:51.418 but wherever it is, it certainly is a lot worse now 00:03:51.418 --> 00:03:54.275 than it was in 1999, 00:03:54.275 --> 00:03:57.886 and that is the problem of antibiotic resistance. 00:03:57.886 --> 00:03:59.573 It's a global issue 00:03:59.573 --> 00:04:02.511 affecting both rich and poor countries, 00:04:02.511 --> 00:04:04.242 and at the heart of it, you might say, well, 00:04:04.242 --> 00:04:06.210 isn't this really just a medical issue? 00:04:06.210 --> 00:04:08.671 If we taught doctors of how not to use antibiotics as much, 00:04:08.671 --> 00:04:11.676 if we taught patients how not to demand antibiotics, 00:04:11.676 --> 00:04:13.791 perhaps this really wouldn't be an issue, 00:04:13.791 --> 00:04:15.580 and maybe the pharmaceutical companies 00:04:15.580 --> 00:04:17.335 should be working harder to develop 00:04:17.335 --> 00:04:19.101 more antibiotics. 00:04:19.101 --> 00:04:20.720 Now, it turns out that there's something 00:04:20.720 --> 00:04:22.622 fundamental about antibiotics 00:04:22.622 --> 00:04:24.253 which make it different from other drugs, 00:04:24.253 --> 00:04:25.874 which is that if I misuse antibiotics 00:04:25.874 --> 00:04:27.701 or I use antibiotics, 00:04:27.701 --> 00:04:31.291 not only am I affected but others are affected as well, 00:04:31.291 --> 00:04:33.629 in the same as if I choose to drive to work 00:04:33.629 --> 00:04:36.498 or take a plane to go somewhere, 00:04:36.498 --> 00:04:38.242 that the costs I impose on others 00:04:38.242 --> 00:04:40.682 through global climate change go everywhere, 00:04:40.682 --> 00:04:43.585 and I don't necessarily take these costs into consideration. 00:04:43.585 --> 00:04:45.294 This is what economists might call 00:04:45.294 --> 00:04:47.039 a problem of the commons, 00:04:47.039 --> 00:04:48.714 and the problem of the commons is exactly 00:04:48.714 --> 00:04:50.739 what we face in the case of antibiotics as well; 00:04:50.739 --> 00:04:52.889 that we don't consider, 00:04:52.889 --> 00:04:55.891 and we, including individuals, patients, 00:04:55.891 --> 00:04:59.097 hospitals, entire health systems, 00:04:59.097 --> 00:05:01.538 do not consider the costs that they impose on others 00:05:01.538 --> 00:05:04.114 by the way antibiotics are actually used. NOTE Paragraph 00:05:04.114 --> 00:05:05.959 Now, that's a problem that's similar 00:05:05.959 --> 00:05:08.281 to another area that we all know about, 00:05:08.281 --> 00:05:10.075 which is of fuel use, and energy, 00:05:10.075 --> 00:05:11.369 and of course energy use 00:05:11.369 --> 00:05:14.451 both depletes energy as well as 00:05:14.451 --> 00:05:18.103 leads to local pollution and climate change. 00:05:18.103 --> 00:05:19.873 And typically, in the case of energy, 00:05:19.873 --> 00:05:21.831 there are two ways in which you can deal with the problem. 00:05:21.831 --> 00:05:25.756 One is, we can make better use of the oil that we have, 00:05:25.756 --> 00:05:27.691 and that's analogous to making better use 00:05:27.691 --> 00:05:29.549 of existing antibiotics, 00:05:29.549 --> 00:05:31.280 and we can do this in a number of ways 00:05:31.280 --> 00:05:33.091 that we'll talk about in a second, 00:05:33.091 --> 00:05:36.847 but the other option is the "drill, baby, drill" option, 00:05:36.847 --> 00:05:38.918 which in the case of antibiotics 00:05:38.918 --> 00:05:41.044 is to go find new antibiotics. NOTE Paragraph 00:05:41.044 --> 00:05:43.001 Now, these are not separate. 00:05:43.001 --> 00:05:46.522 They're related, because if we invest heavily 00:05:46.522 --> 00:05:48.806 in new oil wells, 00:05:48.806 --> 00:05:51.760 we reduce the incentives for conservation of oil 00:05:51.760 --> 00:05:54.126 in the same way that's going to happen for antibiotics. 00:05:54.126 --> 00:05:56.454 The reverse is also going to happen, which is that 00:05:56.454 --> 00:05:58.792 if we use our antibiotics appropriately, 00:05:58.792 --> 00:06:01.573 we don't necessarily have to make the investments 00:06:01.573 --> 00:06:03.980 in new drug development. NOTE Paragraph 00:06:03.980 --> 00:06:06.466 And if you thought that these two were entirely, 00:06:06.466 --> 00:06:08.288 fully balanced between these two options, 00:06:08.288 --> 00:06:10.471 you might consider the fact that 00:06:10.471 --> 00:06:12.743 this is really a game that we're playing. 00:06:12.743 --> 00:06:15.184 The game is really one of coevolution, 00:06:15.184 --> 00:06:18.116 and coevolution is, in this particular picture, 00:06:18.116 --> 00:06:20.472 between cheetahs and gazelles. 00:06:20.472 --> 00:06:22.025 Cheetahs have evolved to run faster, 00:06:22.025 --> 00:06:23.667 because if they didn't run faster, 00:06:23.667 --> 00:06:25.613 they wouldn't get any lunch. 00:06:25.613 --> 00:06:28.065 Gazelles have evolved to run faster because 00:06:28.065 --> 00:06:31.509 if they don't run faster, they would be lunch. 00:06:31.509 --> 00:06:34.395 Now, this is the game we're playing against the bacteria, 00:06:34.395 --> 00:06:36.452 except we're not the cheetahs, 00:06:36.452 --> 00:06:38.219 we're the gazelles, 00:06:38.219 --> 00:06:40.716 and the bacteria would, 00:06:40.716 --> 00:06:42.549 just in the course of this little talk, 00:06:42.549 --> 00:06:44.315 would have had kids and grandkids 00:06:44.315 --> 00:06:46.059 and figured out how to be resistant 00:06:46.059 --> 00:06:49.164 just by selection and trial and error, 00:06:49.164 --> 00:06:50.986 trying it over and over again. 00:06:50.986 --> 00:06:54.518 Whereas how do we stay ahead of the bacteria? 00:06:54.518 --> 00:06:56.802 We have drug discovery processes, 00:06:56.802 --> 00:06:58.422 screening molecules, 00:06:58.422 --> 00:07:00.042 we have clinical trials, 00:07:00.042 --> 00:07:02.268 and then, when we think we have a drug, 00:07:02.268 --> 00:07:05.823 then we have the FDA regulatory process. 00:07:05.823 --> 00:07:08.231 And once we go through all of that, 00:07:08.231 --> 00:07:10.266 then we try to stay one step ahead 00:07:10.266 --> 00:07:12.932 of the bacteria. NOTE Paragraph 00:07:12.932 --> 00:07:15.339 Now, this is clearly not a game that can be sustained, 00:07:15.339 --> 00:07:16.476 or one that we can win 00:07:16.476 --> 00:07:18.703 by simply innovating to stay ahead. 00:07:18.703 --> 00:07:21.988 We've got to slow the pace of coevolution down, 00:07:21.988 --> 00:07:24.440 and there are ideas that we can borrow from energy 00:07:24.440 --> 00:07:27.094 that are helpful in thinking about 00:07:27.094 --> 00:07:28.827 how we might want to do this in the case 00:07:28.827 --> 00:07:30.593 of antibiotics as well. 00:07:30.593 --> 00:07:32.393 Now, if you think about how we deal with 00:07:32.393 --> 00:07:34.136 energy pricing, for instance, 00:07:34.136 --> 00:07:35.965 we consider emissions taxes, 00:07:35.965 --> 00:07:38.249 which means we're imposing the costs of pollution 00:07:38.249 --> 00:07:41.050 on people who actually use that energy. 00:07:41.050 --> 00:07:44.009 We might consider doing that for antibiotics as well, 00:07:44.009 --> 00:07:46.911 and perhaps that would make sure that antibiotics 00:07:46.911 --> 00:07:49.172 actually get used appropriately. 00:07:49.172 --> 00:07:51.062 There are clean energy subsidies, 00:07:51.062 --> 00:07:54.425 which are to switch to fuels which don't pollute as much 00:07:54.425 --> 00:07:57.001 or perhaps don't need fossil fuels. 00:07:57.001 --> 00:08:00.046 Now, the analogy here is perhaps we need 00:08:00.046 --> 00:08:02.345 to move away from using antibiotics, 00:08:02.345 --> 00:08:04.099 and if you think about it, 00:08:04.099 --> 00:08:06.236 what are good substitutes for antibiotics? 00:08:06.236 --> 00:08:08.002 Well, turns out that anything that reduces 00:08:08.002 --> 00:08:10.343 the need for the antibiotic would really work, 00:08:10.343 --> 00:08:13.975 so that could include improving hospital infection control 00:08:13.975 --> 00:08:16.090 or vaccinating people, 00:08:16.090 --> 00:08:18.677 particularly against the seasonal influenza, 00:08:18.677 --> 00:08:21.208 and the seasonal flu is probably 00:08:21.208 --> 00:08:24.212 the biggest driver of antibiotic use, 00:08:24.212 --> 00:08:27.441 both in this country as well as in many other countries, 00:08:27.441 --> 00:08:29.151 and that would really help. 00:08:29.151 --> 00:08:31.615 A third option might include something like tradeable permits, 00:08:31.615 --> 00:08:33.494 which are, we actually, 00:08:33.494 --> 00:08:37.160 and these seem like faraway scenarios, 00:08:37.160 --> 00:08:39.927 but if you consider the fact that we might not 00:08:39.927 --> 00:08:44.078 have antibiotics for many people who have infections, 00:08:44.078 --> 00:08:45.777 we might consider the fact that we might 00:08:45.777 --> 00:08:47.858 want to allocate who actually gets to use 00:08:47.858 --> 00:08:50.782 some of these antibiotics over others, 00:08:50.782 --> 00:08:53.898 and some of these might have to be on the basis of clinical need, 00:08:53.898 --> 00:08:55.833 but also on the basis of pricing. 00:08:55.833 --> 00:08:57.993 And certainly consumer education works. 00:08:57.993 --> 00:09:00.344 Very often, people overuse antibiotics 00:09:00.344 --> 00:09:02.211 or prescribe too much without necessarily 00:09:02.211 --> 00:09:04.737 knowing that they do so, 00:09:04.737 --> 00:09:06.328 and feedback mechanisms 00:09:06.328 --> 00:09:07.960 have been found to be useful, 00:09:07.960 --> 00:09:09.769 both on energy — 00:09:09.769 --> 00:09:11.509 When you tell someone that they're using 00:09:11.509 --> 00:09:13.156 a lot of energy during peak hour, 00:09:13.156 --> 00:09:14.416 they tend to cut back, 00:09:14.416 --> 00:09:16.183 and the same sort of example has been performed 00:09:16.183 --> 00:09:17.993 even in the case of antibiotics. 00:09:17.993 --> 00:09:19.974 A hospital in St. Louis basically would put up 00:09:19.974 --> 00:09:24.416 on a chart the names of surgeons 00:09:24.416 --> 00:09:26.385 in the ordering of how much antibiotics they'd used 00:09:26.385 --> 00:09:28.549 in the previous month, 00:09:28.549 --> 00:09:30.671 and this was purely an informational feedback, 00:09:30.671 --> 00:09:32.234 there was no shaming, 00:09:32.234 --> 00:09:33.989 but essentially that provided some information back 00:09:33.989 --> 00:09:35.943 to surgeons that maybe they could rethink 00:09:35.943 --> 00:09:38.612 how they were using antibiotics. NOTE Paragraph 00:09:38.612 --> 00:09:40.536 Now, there's a lot that can be done 00:09:40.536 --> 00:09:42.335 on the supply side as well. 00:09:42.335 --> 00:09:44.112 If you look at the price of penicillin, 00:09:44.112 --> 00:09:45.763 the cost per day is about 10 cents. 00:09:45.763 --> 00:09:47.521 It's a fairly cheap drug. 00:09:47.521 --> 00:09:49.658 If you take drugs that have been introduced since then 00:09:49.658 --> 00:09:52.302 — linezolid or daptomycin — 00:09:52.302 --> 00:09:54.180 those are significantly more expensive, 00:09:54.180 --> 00:09:56.461 so to a world that has been used 00:09:56.461 --> 00:09:59.633 to paying 10 cents a day for antibiotics, 00:09:59.633 --> 00:10:02.163 the idea of paying 180 dollars per day 00:10:02.163 --> 00:10:04.068 seems like a lot. 00:10:04.068 --> 00:10:05.857 But what is that really telling us? 00:10:05.857 --> 00:10:07.682 That price is telling us 00:10:07.682 --> 00:10:09.580 that we should no longer 00:10:09.580 --> 00:10:13.697 take cheap, effective antibiotics as a given 00:10:13.697 --> 00:10:15.464 into the foreseeable future, 00:10:15.464 --> 00:10:17.994 and that price is a signal to us 00:10:17.994 --> 00:10:19.603 that perhaps we need to be paying 00:10:19.603 --> 00:10:22.156 much more attention to conservation. 00:10:22.156 --> 00:10:25.047 That price is also a signal 00:10:25.047 --> 00:10:27.735 that maybe we need to start looking at other technologies, 00:10:27.735 --> 00:10:30.207 in the same way that gasoline prices are a signal 00:10:30.207 --> 00:10:32.977 and an impetus, to, say, 00:10:32.977 --> 00:10:34.845 the development of electric cars. 00:10:34.845 --> 00:10:36.622 Prices are important signals 00:10:36.622 --> 00:10:38.388 that we need to pay attention to, 00:10:38.388 --> 00:10:40.660 but we also need to consider the fact that 00:10:40.660 --> 00:10:44.912 although these high prices seem unusual for antibiotics, 00:10:44.912 --> 00:10:47.151 they're nothing compared to the price per day 00:10:47.151 --> 00:10:48.535 of some cancer drugs, 00:10:48.535 --> 00:10:51.955 which might save a patient's life only for a few months or perhaps a year, 00:10:51.955 --> 00:10:53.675 whereas antibiotics would potentially 00:10:53.675 --> 00:10:55.621 save a patient's life forever. 00:10:55.621 --> 00:10:56.960 So this is going to involve 00:10:56.960 --> 00:10:58.782 a whole new paradigm shift, 00:10:58.782 --> 00:11:00.638 and it's also a scary shift because 00:11:00.638 --> 00:11:02.967 in many parts of this country, 00:11:02.967 --> 00:11:04.711 in many parts of the world, 00:11:04.711 --> 00:11:06.780 the idea of paying 200 dollars 00:11:06.780 --> 00:11:09.671 for a day of antibiotic treatment 00:11:09.671 --> 00:11:12.213 is simply unimaginable. 00:11:12.213 --> 00:11:13.947 So we need to think about that. NOTE Paragraph 00:11:13.947 --> 00:11:15.760 Now, there are backstop options, 00:11:15.760 --> 00:11:18.436 which is other alternative technologies 00:11:18.436 --> 00:11:20.022 that people are working on. 00:11:20.022 --> 00:11:22.282 It includes bacteriophages, probiotics, 00:11:22.282 --> 00:11:26.084 quorum sensing, synbiotics. NOTE Paragraph 00:11:26.084 --> 00:11:29.369 Now, all of these are useful avenues to pursue, 00:11:29.369 --> 00:11:31.259 and they will become even more lucrative 00:11:31.259 --> 00:11:35.095 when the price of new antibiotics starts going higher, 00:11:35.095 --> 00:11:37.987 and we've seen that the market does actually respond, 00:11:37.987 --> 00:11:40.145 and the government is now considering 00:11:40.145 --> 00:11:43.802 ways of subsidizing new antibiotics and development. 00:11:43.802 --> 00:11:45.455 But there are challenges here. 00:11:45.455 --> 00:11:47.031 We don't want to just throw money at a problem. 00:11:47.031 --> 00:11:48.669 What we want to be able to do 00:11:48.669 --> 00:11:50.468 is invest in new antibiotics 00:11:50.468 --> 00:11:53.944 in ways that actually encourage 00:11:53.944 --> 00:11:56.824 appropriate use and sales of those antibiotics, 00:11:56.824 --> 00:11:59.287 and that really is the challenge here. NOTE Paragraph 00:11:59.287 --> 00:12:01.616 Now, going back to these technologies, 00:12:01.616 --> 00:12:03.979 you all remember the line from that famous 00:12:03.979 --> 00:12:06.205 dinosaur film, "Nature will find a way." 00:12:06.205 --> 00:12:09.524 So it's not as if these are permanent solutions. 00:12:09.524 --> 00:12:12.134 We really have to remember that, 00:12:12.134 --> 00:12:14.012 whatever the technology might be, 00:12:14.012 --> 00:12:16.836 that nature will find some way to work around it. NOTE Paragraph 00:12:16.836 --> 00:12:18.557 You might, well, this is just a problem 00:12:18.557 --> 00:12:21.301 just with antibiotics and with bacteria, 00:12:21.301 --> 00:12:23.247 but it turns out that we have the exact same 00:12:23.247 --> 00:12:25.981 identical problem in many other fields as well, 00:12:25.981 --> 00:12:28.933 with multi-drug resistant tuberculosis, 00:12:28.933 --> 00:12:32.495 which is a serious problem in India and South Africa. 00:12:32.495 --> 00:12:34.282 Thousands of patients are dying because 00:12:34.282 --> 00:12:36.116 the second line drugs are so expensive, 00:12:36.116 --> 00:12:38.343 and in some instances, even those don't work 00:12:38.343 --> 00:12:40.413 and you have XDR TB. 00:12:40.413 --> 00:12:42.224 Viruses are become resistant. 00:12:42.224 --> 00:12:45.063 Agricultural pests. Malaria parasites. 00:12:45.063 --> 00:12:47.173 Right now, much of the world depends on 00:12:47.173 --> 00:12:51.072 one drug, artemisinin drugs, 00:12:51.072 --> 00:12:52.826 essentially to treat malaria. 00:12:52.826 --> 00:12:55.413 Resistance to artemisinin has already emerged, 00:12:55.413 --> 00:12:57.767 and if this were to become widespread, 00:12:57.767 --> 00:12:59.485 that puts at risk 00:12:59.485 --> 00:13:01.116 the single drug that we have to treat malaria 00:13:01.116 --> 00:13:02.918 around the world 00:13:02.918 --> 00:13:05.094 in a way that's currently safe an efficacious. 00:13:05.094 --> 00:13:07.238 Mosquitoes develop resistance. 00:13:07.238 --> 00:13:09.195 If you have kids, you probably know about head lice, 00:13:09.195 --> 00:13:12.233 and if you're from New York City, I understand that 00:13:12.233 --> 00:13:13.999 the specialty there is bedbugs. 00:13:13.999 --> 00:13:15.956 So those are also resistant. 00:13:15.956 --> 00:13:18.835 And we have to bring an example from across the pond. 00:13:18.835 --> 00:13:21.074 Turns out that rats are also resistant to poisons. NOTE Paragraph 00:13:21.074 --> 00:13:23.751 Now, what's common to all of these things is 00:13:23.751 --> 00:13:26.597 the idea that we've had these technologies 00:13:26.597 --> 00:13:30.278 to control nature only for the last 70, 80, 00:13:30.278 --> 00:13:31.963 or a hundred years, 00:13:31.963 --> 00:13:34.246 and essentially in a blink, 00:13:34.246 --> 00:13:37.137 we have squandered our ability to control, 00:13:37.137 --> 00:13:39.288 because we have not recognized 00:13:39.288 --> 00:13:42.001 that natural selection and evolution was going to find 00:13:42.001 --> 00:13:43.684 a way to get back, 00:13:43.684 --> 00:13:45.743 and we need to completely rethink 00:13:45.743 --> 00:13:47.666 how we're going to use 00:13:47.666 --> 00:13:50.760 measures to control biological organisms, 00:13:50.760 --> 00:13:54.224 and rethink how we incentivize 00:13:54.224 --> 00:13:56.710 the development, introduction, 00:13:56.710 --> 00:13:59.118 in the case of antibiotics prescription, 00:13:59.118 --> 00:14:03.370 and use of these valuable resources. 00:14:03.370 --> 00:14:05.270 And we really now need to start thinking about them 00:14:05.270 --> 00:14:07.228 as natural resources. 00:14:07.228 --> 00:14:09.466 And so that's, we stand at a crossroads. 00:14:09.466 --> 00:14:12.625 An option is to go through that rethinking 00:14:12.625 --> 00:14:14.438 and carefully consider incentives 00:14:14.438 --> 00:14:16.992 to change how we do business. 00:14:16.992 --> 00:14:19.253 The alternative is 00:14:19.253 --> 00:14:22.436 a world in which even a blade of grass 00:14:22.436 --> 00:14:24.765 is a potentially lethal weapon. NOTE Paragraph 00:14:24.765 --> 00:14:26.565 Thank you. NOTE Paragraph 00:14:26.565 --> 00:14:29.030 (Applause)