Fighting COVID-19 with Epidemiology
A Johns Hopkins Teach-Out

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Below are the top discussions from Reddit that mention this online Coursera course from Johns Hopkins University.

This free Teach-Out is for anyone who has been curious about how we identify and measure outbreaks like the COVID-19 epidemic and wants to understand the epidemiology of these infections.

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Taught by
Gypsyamber D'Souza, PhD, MS, MPH
and 2 more instructors

Offered by
Johns Hopkins University

Reddit Posts and Comments

0 posts • 20 mentions • top 17 shown below

r/AskReddit • comment
229 points • UnsinkableRubberDuck

Coursera is one that does this.

Duke university offers one on physiology to help you understand how your body systems work together (useful for overall better science literacy).

Johns Hopkins has one on Covid-19 epidemiology to understand the spread and outbreaks.

If you want to learn more about the immune system, there's an Intro Immunology course by Rice university.

For Canadians (and others), there's one on Indigenous Canada that give context and history to the Indigenous populations and culture. This is a good one to check out as it will provide a different way to see the country and its peoples, and maybe help change the conversation we have around FNMI (First Nations, Metis, Indigenous) people.

r/epidemiology • comment
4 points • 823freckles

Here are a few free Coursera courses my school sent us, from Johns Hopkins:

Epidemiology in Public Health Practice Specialization

Fighting COVID-19 with Epidemiology

r/CoronavirusUK • comment
1 points • illandancient

Expectation management - Confirmed cases

The confirmed cases figure yesterday was 51,608. My fancy spreadsheet that aligns total positive tests with other countries with says that today we can expect total confirmed cases to be between a low of 56,100 (if we follow Germany's trajectory at this point) and a high of 59,300 (if we follow the trajectory of Spain).

Our European brothers all stepped up very tightly in this range, it seems reasonable that we will too.

We now have the eighth most confirmed cases in the world, the other top countries were USA (64,600 confirmed cases at this point) and Iran (54,200 confirmed cases), we are unlikely to follow either of their trajectories.

The daily increase for the UK over the past week have been between 7.9% and 17.2%, averaging 12.9%, which would be a total of 58,260 confirmed cases announced today.

Its arguable there's a downwards trend or a slowing of the rate of increase which might point to a percentage increase of 11.8% today, which would be 57,700 confirmed cases.

If we're really staring hard at the daily increase, and assume its rising in a linear manner then it might be an increase of 5,150, to a total of 56,760 which would be an 10% increase.

Yesterday there were 3,802 new confirmed cases announced, although we have come to expect a Monday dip, this was far below the usual expected dip. If there was the same increase today the total would be 55,410. If today's figure is below this then we can say that the rate is slowing, although some might say that you need to see a three day trend or a five day trend or seven days


Yesterday's figure for total UK deaths was 5,373.

There are only four other countries with comparable deaths to the UK, they stepped from 5,373 cases to a low of 5,970 deaths (Italy) and a high of 6,520 (Spain).

We can no longer compare our figures with China or Iran, their trajectories are lower than ours (based on official numbers).

By percentage, the UK figure has been growing by an average of 21.3% each day, which points to 6,517 today.

Yesterday there were 441 new deaths added to the total, if there was the same today it would be 5,814, if the announced figure is less than this then it is a genuine three day slowing trend. If we make assumptions based on the 'Monday dip' then anything under 5,990 would be in line with a slowing trend.

Longer forecasts

In seven days time we'll likely have between 74,000 and 96,000 confirmed cases. Deaths will be in the range of 9,000 to 10,800. Hopefully the outbreak will have peaked by this point, and its possible the UK won't reach 1,000 deaths per day.

Predicting one day ahead is easy, growth rates don't change much from one day to the next, but with exponential growth guessing further ahead is a mug's game.

Suspected Cases

Can I make a brief point about Confirmed Cases. I'm not an epidemiologist, but I'm halfway through this excellent free online course from the John Hopkins university about Fighting COVID-19 with Epidemiology.

One of the first lessons is about how in outbreaks such as this cases are divided into three categories, Suspected, Probable and Confirmed. In no way is the Confirmed Cases figure a comprehensive figure for the totality of the outbreak, it is merely some metric confirmed by a lab that can be studied to see if different policies and actions have made any difference to the outbreak.

The Suspected figure is difficult to count and estimate. Early on in the outbreak something like 95% of Suspected cases were tested and came up negative. Most people suspected of having COVID19 didn't have it.

So rather than argue that the Confirmed Cases figure is unrepresentative, we can just accept it as it stands and see if the lock-down has affected it, or if Monday's affect it.

r/chicago • comment
1 points • muci19

FYI John's Hopkins has a free 5 hour class online for epidemiology. Damn I wish President dipshit would take it. Anyhoo, you can sign up here.

r/EverythingScience • comment
1 points • Olympia00

[to enroll in the course] (

r/Coronavirus • comment
1 points • RealisticExcuse
r/Coronavirus • comment
1 points • MrButtKickmen

I believe this is where you can enroll:

r/Coronavirus • comment
1 points • garlic_bread_thief
r/CanadaCoronavirus • comment
1 points • amonamarth

The source of my information is from the free John Hopkins COVID-19 course. The first week is worth watching, the second week is about contact tracing and isn't as interesting. You will learn about facts such as how the infectious period starts 2 days before onset of symptoms, so someone who takes 5 days to show symptoms will have been infectious from day 3+.

r/sandiego • comment
1 points • TiberiusBronte

Here you go:

They are literally teaching people their process. I bet you can ask them!

Something tells me you don't actually want to learn from the experts. Why do that when you can Google and watch South Park?

Ffs do you hear yourself

r/AskReddit • comment
1 points • theyusedthelamppost

r/Coronavirus • comment
1 points • chupacabrette

Johns Hopkins has a free online course: "Fighting COVID-19 with Epidemiology: A Johns Hopkins Teach-Out" geared toward non-medical people understand the basics. It's a 5-hour self-paced course they suggest doing over 2-weeks. Here's the description:

"This free Teach-Out is for anyone who has been curious about how we identify and measure outbreaks like the COVID-19 epidemic and wants to understand the epidemiology of these infections.

"The COVID-19 epidemic has made many people want to understand the science behind pressing questions like: "How many people have been infected?" "How do we measure who is infected?" "How infectious is the virus?" "What can we do?" Epidemiology has the tools to tell us how to collect and analyze the right data to answer these questions. In addition to a basic understanding of these essential tools, this Teach-Out provides a way for you to learn and connect with one another while continuing to practice the social distancing measures that will help keep us safe. We also hope to provide you with some tangible calls to action that will help you affect positive change for yourself, your community, and our society."

Here's the link to register:

r/CoronavirusArgentina • comment
1 points • Martin_Morando
r/Coronavirus • comment
1 points • junkycosmos

Here is the class and enrollment link

Found it in this article Johns Hopkins offers free online course about COVID-19 and epidemiology

r/Coronavirus • comment
1 points • 41mHL

You're welcome.

The mathematics behind this thing are truly mind-boggling -- I couldn't internalize the impact of the infection rate and exponential growth until I had done the calculations myself. Then, I really, really wanted to be wrong. Thus far, I'm rather dismayed to discover that I was ... my estimates for US deaths and cases on 29th March were both too low.

This piece with the Iceland data is the same -- the math is really simple, but until I tackled the math myself, the conclusions don't seem real.

Incidentally -- coursera is offering a course on epidemiology, starting tomorrow.

The course is free for anybody interested in mathematically modeling disease progression.

r/Coronavirus • comment
3 points • TenYearsTenDays

Here's a good overview from two experts, including Dr. Drosten who is the world leading expert on novel coronaviruses:

TL;DR they are not accurate enough yet, nor independently verified.

Here's some open courseware related to the pandemic (some are general courses, the 1st is from harvard):

ETA: Also listen to TWiV. This amazing podcast was like an intro course on immunology & its relationship to COVID:

ETA2: Yeah, we don't know how immunity works with this disease yet. All we can do is speculate, and even that is hard since SARS and MERS were not studied in rechallenged humans.