Cost-benefit analysis of my vaccination against the flu

Summary

  • I estimate the benefits of my vaccination against the flu would be 44.9 % of its cost. I calculate I would have to receive more than 24.7 $ for it to be worth it, which is the difference between my estimates for the total cost and benefits of 44.8 and 20.1 $.

  • I have not considered the effects of my vaccination on other people, soil animals, or microorganisms, but they do not change my decision. I think they are much smaller than the effects on my work and donations resulting from the time and monetary costs of my vaccination.

Benefits

I assume 0.0610 symptomatic flus per person-year. This is the estimate for unvaccinated people with symptomatic influenza, age from 18 to 64, and a season of moderate severity in the United States (US) from the meta-analysis of Tokars et al. (2018), which is in Table 2.

I suppose the symptoms last for 5.50 days, which is the mean between the lower and upper bound for the duration of the symptoms from Nichol (2021). “The typical case of influenza may be characterized by the abrupt onset of fever, sore throat, nonproductive cough, myalgias, headache, and malaise. Symptoms usually last 5 to 6 days”.

From the 2 estimates above, I infer 0.336 days with a symptomatic flu per person-year. Multiplying this by 9.33 h per day I have logged in my time sheet from 10 May 2021 to 19 September 2025, and a decrease in productivity of 23 due to symptomatic flu, I conclude I am willing to log 2.09 h less in my time sheet for not having flu over 1 year.

I determine the benefits of a single vaccination against the flu are 64.3 % of those of not having flu. This is based on the vaccine against the flu being a good match with probability 78.5 %, and having benefits equal to 75.0 % of those of not having flu in this case, and 25.0 % if it is a poor match. These estimates are the means between the lower and upper bounds in Table 6 of Nichol (2021). 72 % to 85 % probability of the vaccine being a good match, 60 % to 90 % vaccine efficacy in this case, and 0 to 50 % if it is a poor match.

From the 2 estimates above, I am willing to pay 1.34 h more in my time sheet for a single vaccination against the flu. I assume 1 h more is worth 15 $ for me. So I think a single vaccination against the flu is worth 20.1 $ for me.

Cost

I estimate a single vaccination against the flu would have a monetary cost of 19.0 €. This is the mean cost of the 3 vaccines against the flu available in Portugal in 2025 for people not covered by the free vaccination program according to Deco Proteste, Influvac (8.83 €), Vaxigrip (13.15 €), and Fluenz (35.16 €). For 1.17 $/​€ on 20 September 2025, I obtained a monetary cost of 22.3 $.

I guess I would have to spend 1.5 h to be vaccinated against the flu. In addition, I am willing to log 1 h less in my time sheet to save 1 h on the vaccination against the flu. So I am willing to log 1.5 h less to save the time I would spend on the vaccination against the flu. Since 1 h more is worth 15 $ for me, I conclude the time cost of a single vaccination against the flu is 22.5 $.

Adding the 2 costs above, I get a total cost of a single vaccination against the flu of 44.8 $, of which 49.8 % is monetary cost, and 50.2 % is time cost.

Benefit-to-cost ratio and break-even monetary benefit

I estimate the benefits of my vaccination against the flu would be 44.9 % of its cost. I calculate I would have to receive more than 24.7 $ for it to be worth it, which is the difference between my estimates for the total cost and benefits of 44.8 and 20.1 $.

I have neglected the cost from serious illness, which I expect to be minor for me. However, I believe accounting for it may well make vaccination worth it for people who are, for example, 65 or older.

I have not considered the effects of my vaccination on other people, soil animals, or microorganisms, but they do not change my decision. I think they are much smaller than the effects on my work and donations resulting from the time and monetary costs of my vaccination.

Acknowledgements

Thanks to Joanna Michalska for a message which prompted me to do this analysis. The views expressed in the post are my own.