Vaccine Efficacy Calculator

Efficacy, effectiveness… All these words seem familiar, but what do they really mean to us? Does the 67% efficacy indeed suck? 🤔

Thanks to the mass vaccination, we're finally able to feel that the world is slowly going back to normal. However, our job is not done yet – the pandemic is still here, taking the lives of over 40,000 people every day.

We may ask ourselves – what can we do to convince people to finally get vaccinated? We decided to create a tool that will show you how the vaccine's efficacy saves people in real life and explain all the doubts and math that stand behind it.

Fasten your seatbelts – we're going for a ride! 📚

When we produce the vaccine, we first find out about its efficacy.

Efficacy is the very first measurement of the work of the vaccine – the scientists establish it during a clinical trial. Efficacy has a limited usage – it tells a story of a vaccine placed in almost ideal conditions in a limited amount of time. 🙂

However, we still value it as an excellent source of knowledge about the vaccine's quality.

How do we measure efficacy?

Efficacy is measured as a percentage of people who got vaccinated and didn't get the disease.

To put things simply, if we vaccinate 100 people, and 5 of them still come down with COVID, we can simply say that our vaccine's efficacy is 100 - 5 = 95%.

Effectiveness, in comparison to efficacy, was tested in real-life conditions in a significantly larger number of people.

As we all know, life is not perfect, and the number of surprises the vaccine may face cannot be entirely predicted & replicated in a short span of a clinical trial.

How do we measure effectiveness?

Effectiveness is measured the same way as efficacy; it's the number of patients who avoided getting sick in a group of 100 vaccinated people.

• The efficacy is always available earlier than effectiveness.
• The effectiveness is usually lower than the efficacy.
• We usually prefer effectiveness as a source of knowledge – the effectiveness is more universal and can be applied to a broader range of patients.

Still hungry for knowledge? Try our other medical math tools:

• Vaccine production calculator – calculate how much time it'll take to vaccinate everyone.
• Max vaccine immunity calculator – find out when you'll achieve your maximum immunity after the vaccination.
• Sensitivity and specificity calculator – an excellent tool for medical professionals and researchers.

Let's start with the very basics – in order to have the vaccine, we first need to have a clinical trial.

A clinical trial is a set of pre-defined conditions that we need to follow to treat a group of patients with a new drug. An excellent clinical trial will always compare the results of a new drug with an old drug, placebo, or a standard treatment. 💊

Clinical trials are focused on the safety of the participants – they usually have a limited amount of time, and all the patients are closely monitored for any side effects.

We need to face the music – a number of people who get vaccinated will still get the disease. Then why are we so convinced that it's the right thing to do?

Well, we know that both statistics and math are on our side! 🤓

Let's think about the most popular vaccine worldwide, Pfizer; its effectiveness is close to 92%.

• Out of 100 people vaccinated, 92 will avoid getting sick at all.
• Out of 8 people who got vaccinated and still came down with COVID, less than 2 people will face serious disease complications.
• None of the patients will be affected by severe side effects of the vaccine.
• None of the patients will die of COVID-19.

Now imagine that none of these 100 people got vaccinated, and all of them caught the coronavirus (remember - almost nobody's immune to this disease!).

• Without the vaccine, 20 people out of 100 will face serious consequences of the infection; up to 4 patients will die.
• All the 80 lucky, seemingly healthy individuals may experience a lowered quality of life and mild worsening of health.

We all need to remember that the benefits of taking the vaccine increase along with the coronavirus threat for a given person – the more you are at risk, the more you benefit from your jab.

Just to remind you, people who are at greater risk of the severe/critical course of the disease include:

• Older people;
• People with BMI> 25;
• People with diabetes;
• People with kidney disease or kidney failure;
• People with lung diseases, especially lung cancer; and
• People that suffer from any kind of immunity insufficiency, such as HIV/AIDS.

*You can learn more about these diseases by checking out our diabetes risk calculator, our kidney failure risk calculator, and our lung cancer risk calculator.

Blood clots caused by the vaccines – should we panic right now, or not just yet? 🙊 Let's find it out with our beloved friend, math.

Imagine a city with almost 9 million inhabitants – just as big as London in the UK or New York in the USA.

Let's imagine that:

1. Everyone in the city gets COVID-19 🤒

   • 1,485,000 people will get blood clots just because of the disease.

2. Everyone in the city is a smoker. 🚬

   • 16,200 people will get blood clots just because they smoke cigarettes.

3. Everyone in the city takes the birth control pill 💊

   • 7,650 people will get blood clots just because of the pill.

4. Everyone in the city gets vaccinated. 💉

   • 17 people will probably get blood clots.

What do you think is more probable – being among the 1,485,000 people affected by COVID blood clots or the 17 connected to the vaccine?

It's far easier than it seems! Try our ultrashort instruction below:

1. Choose the vaccine you'd like to try

   • …and enjoy a few interesting facts we prepared for you!

2. Choose the population you'd like to calculate

   • It can be either a school, a city, country, continent, or the entire world.

3. Your results are already here 🎉

   • The first number lets you know how many people in your unvaccinated population would suffer serious complications of COVID if everyone came down with the disease.
   • The second number shows you how many people would be affected if your entire population got vaccinated and had exactly the same exposure to the coronavirus as the previous, unvaccinated group.
   • The third number is the difference between the unvaccinated and vaccinated group – the number of people saved by the vaccines!

• Centers for Disease Control and Prevention
• The Lencet
• Reuters