VaccinesHerd immunity — an argument meant to make us get vaccinated?
- Prof. Sucharit Bhakdi — mRNA Vaccine Toxicity — M. Palmer i S. Bhakdi i in. (2023)
- Dr Norman Pieniążek — A Revealing Dialogue with a Former CDC Scientist
- Herd Immunity Effects in Cost-Effectiveness Analyses among Low- and Middle-Income Countries. · Appl Health Econ Health Policy 2022
- Quantifying the direct and indirect impact of COVID-19 vaccination: evidence from Victoria, Australia. · J R Soc Interface 2026
- Examining the interaction between area-level immunity coverage and individual-level immunity to help quantify indirect herd benefits: a population-based retrospective cohort study of COVID-19 diagnoses and deaths. · Am J Epidemiol 2026
- Information about herd immunity through vaccination and empathy promote COVID-19 vaccination intentions. · Health Psychol 2022
- Herd immunity versus self-interest motives and norms effects on influenza vaccination intention. · Health Psychol 2024
- Orthomolecular Medicine News Service — Vaccine Science and Myth
- Orthomolecular Medicine News Service — Considerations about the Children's Immunization Program
- Orthomolecular Medicine News Service — Behavioral Change Strategies Push Nationwide Vaccination
Prof. Sucharit Bhakdi accepts herd immunity as an argument for mandatory vaccination only if it can actually be achieved.
- Prof. Sucharit Bhakdi explains that, if the proportion of vaccinated people is high enough, an infection can stop spreading.
- This kind of immunity can also protect people who cannot be vaccinated, for example because of the risk of adverse reactions.
- Dr Norman Pieniążek rejects this concept in the case of coronaviruses, which mutate constantly.
What the authors write
If the proportion of vaccinated people is high enough, herd immunity can cause an infection to die out instead of spreading through the population.
Herd immunity can also protect unvaccinated people, including those for whom vaccination is not recommended; mandatory vaccination of the majority can be justified only if such immunity is achievable.
Dr Norman Pieniążek argues that herd immunity does not apply to constantly mutating coronaviruses.
Research from PubMed · Europe PMC
We selected 5 studies with the best, positive results. This is a selection, not a full review of all research.
Total number of studies on this topic in PubMed: 3 797.
Including herd immunity made vaccines look more cost-effective in analyses.
Aim of the study: Herd immunity (HI) is a key benefit of vaccination programs, but the effects are not routinely included in cost-effectiveness analyses (CEAs). This study investigated how the inclusion of HI in CEAs may influence the reported value of immunizations in low- and middle-income countries (LMICs) and illustrated the implications for COVID-19 immunization.
Results: Among the 243 immunization CEAs meeting inclusion criteria, 44 studies (18%) included HI. Of those studies, 11 (25%) used dynamic transmission models, whereas the remainder used static models. Sixteen studies allowed for ICER calculations with and without HI (n = 48 ratios). The inclusion of HI always resulted in more favorable ratios. In 20 cases (42%), adding HI decreased the ICERs enough to cross at least one or more common cost-effectiveness benchmarks for LMICs. Among pneumococcal vaccination studies, including HI in the analyses decreased seven of 24 ICERs enough to cross at least one cost-effectiveness benchmark. The full value of immunization may be underestimated without considering a scenario in which HI is achieved. Given the evidence in pneumococcal CEAs, COVID-19 vaccine value assessments should aim to show ICERs with and without HI to inform decision-making in LMICs.
“Not stated” does not mean nobody paid — the database does not always record it.
During the Delta variant epidemic, indirect protection associated with vaccination helped prevent infections, hospitalizations, and deaths.
Aim of the study: Vaccines not only directly protect vaccinated individuals but also contribute to protecting the entire population via indirect herd-immunity benefits. However, researchers have long struggled to quantify these indirect effects at the population level, hindering the assessment of vaccination programme effectiveness.
Results: By modelling a non-vaccination counterfactual, we conservatively estimate 315 000 infections were averted (95% Bayesian credible interval (BCI): 231k-406k), as well as 33 400 hospitalizations (95% BCI: 22k-46k), and 4900 deaths (95% BCI: 2.8k-7.2k). These are 4.0, 7.5 and 8.0 times higher, respectively, than observed. Half of the averted infections and around one-quarter of hospitalizations and deaths were attributable to indirect protection. Homogeneous vaccination across local government areas could have reduced outcomes by approximately 25%.
“Not stated” does not mean nobody paid — the database does not always record it.
Higher immunity in the local area was associated with a lower risk of COVID-19 diagnosis and death among people without individual immunity.
Aim of the study: Empirical evidence on the indirect herd benefits of COVID-19 vaccination and/or prior infection is limited. We examined how area-level immunity interacts with individual-level immunity to affect COVID-19 diagnoses and deaths.
Results: lowest quintiles) was associated with lower odds of COVID-19 diagnosis. Higher area-level immunity (highest vs. lowest quintiles) was also associated with lower hazard of COVID-19 death among non-immune individuals (hazard ratio, 0.77 [0.60, 1.00]). Findings provide evidence supporting the herd benefits of vaccination or prior infection on COVID-19 diagnosis and deaths, and provide insights for interpreting vaccine effectiveness estimates in the context of herd immunity.
“Not stated” does not mean nobody paid — the database does not always record it.
Information about herd immunity associated with vaccination increased stated willingness to get vaccinated against COVID-19.
Aim of the study: An effective vaccine against COVID-19 is a desired solution to curb the spread of the disease. However, vaccine hesitancy might hinder high uptake rates and thus undermine efforts to eliminate COVID-19 once an effective vaccine became available. The present contribution addresses this issue by examining two ways of increasing the intention to get vaccinated against COVID-19.
Results: In Study 1 (N = 310), the intention to get vaccinated against COVID-19 was correlated with knowledge about and belief in herd immunity through vaccination (r = .58, p < .001), as well as with empathy for those most vulnerable to the virus (r = .26, p < .001). In Study 2 (N = 2,005), information about herd immunity through vaccination (Cohen's d = .13, p = .003) and empathy (Cohen's d = .22, p < .001) independently promoted vaccination intention. The motivation to get vaccinated against COVID-19 was related to and could be causally promoted by both mere information about herd immunity through vaccination and by empathy. As such, the present research provides a better understanding of the intention to get vaccinated against COVID-19. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
“Not stated” does not mean nobody paid — the database does not always record it.
In the study, stated willingness to get vaccinated against influenza was higher when vaccination was presented as a way to protect others.
Aim of the study: Promoting vaccine uptake is challenging. This research aimed to experimentally test the effect of communication strategies on influenza vaccine uptake intention. We hypothesized that the effect of descriptive norm level (10%-50%-90% of others vaccinated) on intention would vary according to whether the benefits are focused on the individual (self-interest motives) or others (herd-immunity motives).
Results: As expected, a significant simple quadratic effect of norm was obtained in the herd-immunity condition. No linear effect was found in the self-interest condition. A main effect of motives was found: The intention was higher in the herd-immunity condition than in the self-interest condition. Sensitivity analysis showed that our results are robust, except for the simple quadratic effect in the herd-immunity condition. Herd-immunity motive is more motivating to induce intention to vaccinate against influenza. The effect of norms appears to depend on the motive, and average levels of norms seem to be more motivating than very low and very high levels. The way vaccination is presented can influence adoption rates, and this should be considered when vaccination rates are communicated in the media. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
“Not stated” does not mean nobody paid — the database does not always record it.
Perspectives and opinion materials
The content below presents the authors’ opinions, interpretations and hypotheses. It is not treated as equal to scientific studies and systematic reviews.
Pisaczek does not judge who is right. It shows what was written and where to read it. Every sentence above has its source.