scholarly journals Effects of information-dependent vaccination behavior on coronavirus outbreak: insights from a SIRI model

2020 ◽  
Vol 69 (2) ◽  
pp. 483-499 ◽  
Author(s):  
Bruno Buonomo
Keyword(s):  
Vaccination Behavior ◽  
Siri Model

scholarly journals Effects of information-dependent vaccination behavior on coronavirus outbreak: insights from a SIRI model

2020 ◽  
Author(s):  
Bruno Buonomo
Keyword(s):  
Respiratory Illness ◽  
Basic Structure ◽  
Behavioral Changes ◽  
The Novel ◽  
Reinfection Rate ◽  
Vaccination Behavior ◽  
The Status ◽  
Information Delay ◽  
Information Coverage ◽  
Siri Model

Abstract A mathematical model is proposed to assess the effects of a vaccine on thetime evolution of a coronavirus outbreak. The model has the basic structure of SIRIcompartments (susceptible-infectious-recovered-infectious) and is implemented by tak-ing into account of the behavioral changes of individuals in response to the availableinformation on the status of the disease in the community. We found that the cumu-lative incidence may be significantly reduced when the information coverage is highenough and/or the information delay is short, especially when the reinfection rate ishigh enough to sustain the presence of the disease in the community. This analysis is in-spired by the ongoing outbreak of a respiratory illness caused by the novel coronavirusCOVID–19.

scholarly journals A reasoned action approach to understand vaccination intention among healthcare professions students

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
F De Nard ◽  
S Rivolta ◽  
M Letzgus ◽  
M Gaiazzi ◽  
D Carnevali ◽  
...  
Keyword(s):  
Reasoned Action ◽  
Behavioral Control ◽  
Medical Residents ◽  
Perceived Behavioral Control ◽  
Reasoned Action Approach ◽  
Flu Vaccination ◽  
Vaccination Behavior ◽  
Healthcare Professions ◽  
Prevention Techniques ◽  
Vaccination Knowledge

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.

scholarly journals A MEAN FIELD GAME ANALYSIS OF SIR DYNAMICS WITH VACCINATION

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.

scholarly journals Spatial dynamics of a diffusive SIRI model with distinct dispersal rates and heterogeneous environment

2021 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
Lian Duan ◽  
Lihong Huang ◽  
Chuangxia Huang
Keyword(s):  
Steady State ◽  
Basic Reproduction Number ◽  
Epidemic Model ◽  
Reproduction Number ◽  
Spatial Dynamics ◽  
Heterogeneous Environment ◽  
Threshold Parameter ◽  
Dispersal Rate ◽  
Siri Model ◽  
The Basic Reproduction Number

<p style='text-indent:20px;'>In this paper, we are concerned with the dynamics of a diffusive SIRI epidemic model with heterogeneous parameters and distinct dispersal rates for the susceptible and infected individuals. We first establish the basic properties of solutions to the model, and then identify the basic reproduction number <inline-formula><tex-math id="M1">\begin{document}$ \mathscr{R}_{0} $\end{document}</tex-math></inline-formula> which serves as a threshold parameter that predicts whether epidemics will persist or become globally extinct. Moreover, we study the asymptotic profiles of the positive steady state as the dispersal rate of the susceptible or infected individuals approaches zero. Our analytical results reveal that the epidemics can be extinct by limiting the movement of the susceptible individuals, and the infected individuals concentrate on certain points in some circumstances when limiting their mobility.</p>

Male Undergraduates’ HPV Vaccination Behavior: Implications for Achieving HPV-Associated Cancer Equity

2018 ◽  
Vol 43 (3) ◽  
pp. 459-466 ◽  
Author(s):  
Hee Yun Lee ◽  
Katherine Lust ◽  
Suzanne Vang ◽  
Jay Desai
Keyword(s):  
Hpv Vaccination ◽  
Vaccination Behavior
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