Placeholder Image

字幕表 動画を再生する

  • Welcome to today's Medmastery coronavirus update.

  • I'm Franz Wiesbauer.

  • I'm an internist, trained in epidemiology and public health at Johns Hopkins and the

  • founder of Medmastery.

  • Today we're going to learn how to predict if an epidemic is going to spread fast and

  • wide or not.

  • This is super timely.

  • The new coronavirus called SARS-CoV-2 might very well become a pandemic.

  • So let's see what will factor into that.

  • There are a couple of things you need to know.

  • Let's first talk about the basic reproductive ratio called R naught.

  • It applies to a situation where everyone in the population is susceptible and no

  • control measures are taken.

  • So we're talking about a population that has no immunity to the pathogen.

  • They're seeing the virus or bacteria for the very first time.

  • R naught, gives you the number of new cases that an existing case can generate

  • over time, on average.

  • So let's take an arbitrary population and say that this guy has the disease and

  • transmits it to this guy over here.

  • And this guy transmits it to that guy.

  • So on average, one case gives the disease to one other person.

  • So R naught is equal to one.

  • In the scenario where R naught is equal to one, the population of infected

  • individuals stays constant.

  • Now let's look at another fictitious population where one infected person

  • infects three other individuals on average.

  • So R naught is equal to three.

  • So this guy gives it to these three people, and these three people give it to

  • three more people in turn.

  • I think you can already tell that what we're looking at here is an exponential

  • growth curve that looks something like this.

  • So the number of infected patients increases.

  • So as we've seen, when R naught is equal to one, the group size will stay constant.

  • When R naught is greater than one, the group of infected individuals will grow.

  • And what will happen if R naught is below one?

  • Well, I think you guessed it.

  • If that happens, the population of infected individuals will get smaller and

  • smaller over time.

  • Let's now look at the variables that influence R naught.

  • One would be the route of transmission.

  • So R naught will vary depending if the route of transmission is fecal-oral or if

  • it's airborne via droplets.

  • For example, both modes of transmission have been described for the new

  • coronavirus.

  • Another factor that influences the value of R naught is the epidemiological system

  • in which the pathogen is transmitted.

  • So R naught will be slightly different in various geographic regions with different

  • social and cultural behaviors, for example.

  • Here's a quick formula - how you can think of R naught.

  • It basically depends on the susceptible population that an infected person is

  • going to encounter per time unit, let's say per days, times the average duration

  • of infectiousness in days, times the average probability that transmission will

  • take place per unit of contact.

  • So each time an infectious individual interacts with another susceptible person.

  • Which is largely a measure of pathogen virulence - the ability of a pathogen to

  • cause disease.

  • It has been estimated by various authors that R naught for COVID-19 is somewhere

  • between two and three.

  • Let's compare that to the values of R naught seen during flu pandemics.

  • During the 1918 influenza pandemic, R naught was 1.8.

  • In 1957 it was 1.65.

  • In 1968 it was 1.8 again.

  • And in 2009 it was 1.46.

  • So when it comes to R naught, SARS-CoV-2 is quite a bit more scary than influenza,

  • isn't it?

  • So what else do we need to know in order to tell if an epidemic is going to spread

  • fast and wide apart from R naught?

  • Well, we need to know what is called the serial interval.

  • What is the serial interval?

  • Well, let's say this guy, Bob, infected this girl, Pam, with the new coronavirus.

  • The serial interval would correspond to the time it takes between symptom onset in

  • Bob to symptom onset in Pam.

  • Essentially the serial interval is a measure of how fast the disease spreads

  • from one person to the next.

  • Let's take the example of a fictitious population of 1000 uninfected individuals

  • who have never been exposed to the coronavirus, let's say.

  • Let's assume that this guy enters the population because he has just returned

  • from Wuhan, China.

  • Now I will make up some numbers for demonstration purposes.

  • Let's say R naught was five and the serial interval was 10 days.

  • So in the first 10 days, this guy infects five people, they develop disease.

  • After 10 more days, each of these individuals infects five more people in

  • turn, and they develop the disease.

  • So we have now 25 people, and after 10 more days, each one of those 25 people

  • infects five people each.

  • So we end up with 125 new infected individuals in the last 10 day period.

  • So overall, we end up with 156 infected individuals in this population of a

  • thousand.

  • So what's the incidence of disease?

  • That's 156 per 1000 per 30 days, or 5.2 per 1000 per day.

  • Let's take a different serial interval and see what happens.

  • Let's now say that the serial interval is 30 days instead of 10.

  • Now that initial case, infects five people over the entire month, so we end up with

  • six infected cases.

  • So what's the incidents now?

  • Six cases per 1000 per 30 days corresponds to 0.2 per 1000 per day.

  • So you see, changing the serial interval really makes a big difference.

  • So what's the serial interval for the novel coronavirus?

  • Well, different authors describe different numbers.

  • It's generally thought to be somewhere around 7.5 days, maybe even shorter.

  • For comparison, the serial interval for influenza has been estimated at somewhere

  • between 2.2 and 2.8.

  • So here are the R naughts and serial intervals of previous flu pandemics.

  • And if we compare that to those of the SARS-CoV-2 we see that the coronavirus has

  • a worse R naught, meaning that one patient infects more individuals than is the case

  • for influenza.

  • On the other hand, the serial interval for the coronavirus is longer, which might buy

  • us some time.

  • So I hope you now understand why with the low reproductive ratio and a high serial

  • interval, you'll get an epidemic that will propagate more slowly.

  • Whereas with a higher reproductive ratio and a low serial interval, you'll get a

  • much more threatening epidemic that will propagate much faster.

  • For more lectures on important medical concepts and skills, visit us at

  • www.medmastery.com and register for a trial account to get access to free

  • lessons, downloads, and updates.

  • See you next time.

Welcome to today's Medmastery coronavirus update.

字幕と単語

ワンタップで英和辞典検索 単語をクリックすると、意味が表示されます

B2 中上級 新型コロナウイルス 新型肺炎 COVID-19

COVID-19更新:パンデミックが発生しやすいかどうかの見分け方-R0とシリアル間隔 (COVID-19 Update: How to tell if a pandemic is likely to occur or not–R0 and the serial interval.)

  • 13 0
    林宜悉 に公開 2021 年 01 月 14 日
動画の中の単語