What is Epidemiology?

What epidemiology is, and why it's important? Risk Bites provides a simple introduction to what epidemiology is, and how to make sense of epidemiology studies when people's health is on the line. With Mariya Voytyuk.

Written, illustrated, narrated and filmed by Dr. Mariya Voytyuk

RISK BITES

#epidemiology #health #risk #science #exposure

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[TheAmaraHorton]

I’ve finally found my calling! 39 years and I am just learning about this field... Welp, better late than never ever... 🧠🥰

















(Future me re-reading this: Yea.. it’s hard. Really hard. Harder than you thought! So what? Work even harder! You got this! Remember your reasons and focus on the journey. One day at a time. 💪🏾💗🙏🏾

[okeziejonathan]

I’m excited to become a professional in Health Science because I genuinely care about the well-being of those around me. This field provides valuable knowledge that enhances human safety and helps communities, governments, and healthcare providers address outbreaks. By investigating the distribution, patterns, and determinants of health-related events and diseases, we can find effective solutions to improve public health.

[myreyabeltran]

People keep telling me to give up red meat because it is associated with cancer, so I am going to share this video with them next time! I love the way that it was reframed. It gives a better understanding on why it may be true, but not necessarily urgent.

[TheOnLeftBehind]

This was a very helpful video! I’m familiar with research indications in psychology and neuroscience, but I think learning about the point of epidemiology is extremely useful for how the research we do is important from a bigger picture, too, as scientists in my field can get lost in the small details.

[artinsafaie]

People doing this for a job, me having to study this as a 5th grader for Science Olympiad..

[chukwuanusundayokagbue]

Great exposure to epidemiology. Many thanks.

[chrissylslsls]

What jobs can I find with an MPH in epidemiology? Can you make a video on this pleaseeee?

[robertforrester]

That's good work. Thanks. Bob from Philadelphia

[areejalfattani]

Hello, do you allow translation the video into Arabic ??

[gigglysamentz]

3:00 I don't get that point. If you include only people who eat a lot of ice cream and live in hot countries, you don't have the data points to say that people who eat less ice cream don't get burnt as much.

[fortcastlevgn]

dairy doesnt cause it directly but indirectly it can severely make us vulnerable to it (skin inflamation (everyone have a little lupus but at a different level (everyone have a little cancer, , everyone have heartdeseases plaque since 10 years, , michael gregore, , , and cancer overall (everyone have a little sickness of everything, , inflamation and bones getting weaker, , everyone (maybe vegans wfpb since birth and semi athlete that are wfpb are in the least worse) but not much studies on those

[nathanvermaerke]

Brief summary: 
How to test whether something is harmful?
- In vivo studies: research in animals
• Not the same effects in humans!
- In vitro studies: research in cells
• Cell out of the body behave differently!
- Studies on humans = best approach
• Warning: can be unethical! Therefore, we can:
o Observe world, where are people exposed to? = observational studies: exposure  health.
o But exposure  health, doesn’t mean the 2 events are related. (ice-cream consumption and drownings, these are correlated, but not causative)
• Reason we might see an association:
o Cause
o Chance
o Bias: can occur because of errors (in design).
o Confounder: some other factor(s) confuses our interpretation. E.g., People who drink a lot of coffee are more likely to develop heart disease, tempting to conclude that coffee causes heart disease, but people that drink coffee tend to smoke. In this case smoking is a confounder (associated with both coffee and heart disease), which make can make it seen coffee causes the condition.
• What information matters?
o Use statistics, the p-value (≤ 0.05), but doesn’t tell much about importance, rather tells if it is true or not. E.g., both smoking and red meat causes increase in cancer risk, but smoking causes a 20-time increase and red meat only a 0.2-time increase.
o This is why looking at the p-value is not enough and also considering effect size is needed to know the importance.

[gigglysamentz]

A p-value of 0.05 is quite high in my opinion o_O

[Magani]

harmful studies on animals is also "highly unethical"

[ongoingacademicmedicallear]

Is ☕ coffee the predisposing factor to get cancer risk?and what is the the difference between coffee and other CNS stimulants?
Could l have your email, please?

[seikou]

this is a wake up call for me. i smoke cigarettes and drink coffee.

[dennisbenjaminahndorf]

Minute 5:30; a 20 times increase is an increase of 1900%, isn't it!?

[daffyrose]

My admittedly rough research suggests that 14% of the US population smoke whereas 64% drink coffee. So where does the people who drink coffee tend to smoke conclusion come from?

[gardenboys]

Woah, this womans hands are so beautiful and soft. The way she holds the marker is amazing. Wish she could hold me like her maker :c.

[hydroecologicalservicesisp]

1.the exemplify epidemiology is disgusting