Modeling the effects of information‐dependent vaccination behavior on meningitis transmission

Abstract Background Understanding the predictors of vaccination intention among healthcare workers, including students in healthcare professions (SHPs), is crucial for policy making and for the development of evidence-driven training programs. The reasoned action approach (RAA) model includes three components to predict intention: attitude (experiential/instrumental), perceived norm (injunctive/descriptive), and perceived behavioral control (capacity/autonomy). We aimed to investigate the predictors of seasonal Flu vaccination intention among SHPs of the University of Milan. Methods We spread an e-survey to all medical residents and first- and last-year SHPs (medicine, nursery, midwifery, healthcare assistance and prevention techniques). The strength of association between measures of RAA components (as well as sociodemographic data, past vaccination behavior, vaccination knowledge, and perceived vaccination facilitation strategies), and vaccination intention was estimated using uni- and multivariate logistic regression models. Results Among 5743 invited SHPs, 884 participated in the survey and were included in the descriptive analyses (52,3% medical residents, 19,9% medicine, 21,1% nursing, 3,6% healthcare assistance, 2,7% prevention techniques and 0,5% midwifery students). Twenty-nine psycho-attitudinal items with an overall Cronbach alpha >0.7 were included in the analyses. The regression analyses were performed on 751 subjects who filled in completely the survey. Past vaccination behavior, vaccination knowledge, experiential attitudes, and perceived vaccination facilitation strategies were positive predictors of Flu vaccination intention (OR 8.16, 2.42, 1.96 and 1.15 respectively, p < 0.05). Conclusions Our results indicated knowledge, experiential attitudes and facilitation strategies as modifiable predictors of vaccination intention among SHPs. Targeted and lasting interventions are needed in order to pursue a change in the strongest predictor, past vaccination behavior. Key messages Past vaccination is the strongest predictor of vaccination intention among students in healthcare professions. Knowledge, attitudes and perceived facilitators predict vaccine propensity among students in healthcare professions.

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P 47. Disability, quality of life, and vaccination behavior after Guillain-Barré-Syndrome

Clinical Neurophysiology ◽

10.1016/j.clinph.2021.02.365 ◽

2021 ◽

Vol 132 (8) ◽

pp. e20-e21

Author(s):

B.O. Holtz ◽

H. Axer ◽

O.W. Witte

Keyword(s):

Quality Of Life ◽

Guillain Barre Syndrome ◽

Vaccination Behavior ◽

Guillain Barré Syndrome ◽

Guillain Barré

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A MEAN FIELD GAME ANALYSIS OF SIR DYNAMICS WITH VACCINATION

Probability in the Engineering and Informational Sciences ◽

10.1017/s0269964820000522 ◽

2020 ◽

pp. 1-18

Author(s):

Josu Doncel ◽

Nicolas Gast ◽

Bruno Gaujal

Keyword(s):

Mean Field ◽

Vaccination Strategy ◽

Game Analysis ◽

Total Cost ◽

Mean Field Game ◽

Vaccination Behavior ◽

Switching Curve ◽

The One ◽

The Cost ◽

Vaccination Period

We analyze a mean field game model of SIR dynamics (Susceptible, Infected, and Recovered) where players choose when to vaccinate. We show that this game admits a unique mean field equilibrium (MFE) that consists in vaccinating at a maximal rate until a given time and then not vaccinating. The vaccination strategy that minimizes the total cost has the same structure as the MFE. We prove that the vaccination period of the MFE is always smaller than the one minimizing the total cost. This implies that, to encourage optimal vaccination behavior, vaccination should always be subsidized. Finally, we provide numerical experiments to study the convergence of the equilibrium when the system is composed by a finite number of agents ( $N$ ) to the MFE. These experiments show that the convergence rate of the cost is $1/N$ and the convergence of the switching curve is monotone.

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