A key to predicting medical decisions, such as vaccinations, is to understand individual behavior and its determinants, including self-interest and self-determined goals (desire to benefit oneself or enhance one's utility), prosociality (preferences for the well-being of others), imitation (imitating decisions of others), habitual behavior (tendency to repeat past actions), as well as time and budget constraints. As these behavioral factors influence vaccination decisions, they need to be incorporated into models of alternative vaccination strategies in order to provide policy decision-making guidance. Here, we propose to evaluate how behavioral factors shape influenza vaccination decisions, vary across nations, and can be used to inform vaccination strategies. To do so, we will use epidemiological-economic models including game theory and network models of influenza transmission, parameterized by psychological, economic and sociological data. Specifically, our transdisciplinary team will employ surveys, statistical analysis, and mathematical modeling to assess the interplay among decision-making processes of individuals, infectious disease transmission, and social influences in different countries. We will evaluate behavior, decision-making and epidemiological outcomes at multiple interrelated scales, including at the individual, household, age class, national, and population levels. Individual-level vaccination decisions can profoundly influence the fate of outbreaks, and thus have far reaching public health consequences for regional, national, and international populations. Understanding the factors underlying vaccination decisions and adherence to public health recommendations will enable the design of more effective vaccination programs. Therefore, we will also evaluate the capacity to influence behavioral factors, including prosociality, imitation, and habitual behavior, to promote vaccination policies that are optimal at both the individual and public health scales. Our results will increase our understanding of health decision-making and inform intervention strategies to improve vaccination rates.
We propose to evaluate how behavioral factors shape influenza vaccination decisions. Using epidemiological game theory models of influenza parameterized by analysis of novel psychological data, we will evaluate behavior, decision-making, and epidemiological outcomes at multiple interrelated scales, including the individual, age class, population and international levels. Our findings will improve our understanding of health decision- making and enable us to inform vaccination strategies in order to improve public health outcomes.
|Ndeffo-Mbah, Martial L; Vigliotti, Vivian S; Skrip, Laura A et al. (2018) Dynamic Models of Infectious Disease Transmission in Prisons and the General Population. Epidemiol Rev 40:40-57|
|Lee, Bruce Y; Bartsch, Sarah M; Skrip, Laura et al. (2018) Are the London Declaration's 2020 goals sufficient to control Chagas disease?: Modeling scenarios for the Yucatan Peninsula. PLoS Negl Trop Dis 12:e0006337|
|Medley, Graham F; Blok, David J; Crump, Ronald E et al. (2018) Policy Lessons From Quantitative Modeling of Leprosy. Clin Infect Dis 66:S281-S285|
|Rock, Kat S; Ndeffo-Mbah, Martial L; Castaño, Soledad et al. (2018) Assessing Strategies Against Gambiense Sleeping Sickness Through Mathematical Modeling. Clin Infect Dis 66:S286-S292|
|Sah, Pratha; Medlock, Jan; Fitzpatrick, Meagan C et al. (2018) Optimizing the impact of low-efficacy influenza vaccines. Proc Natl Acad Sci U S A 115:5151-5156|
|Durham, David P; Fitzpatrick, Meagan C; Ndeffo-Mbah, Martial L et al. (2018) Evaluating Vaccination Strategies for Zika Virus in the Americas. Ann Intern Med 168:621-630|
|Marshall, Brandon D L; Goedel, William C; King, Maximilian R F et al. (2018) Potential effectiveness of long-acting injectable pre-exposure prophylaxis for HIV prevention in men who have sex with men: a modelling study. Lancet HIV 5:e498-e505|
|Grantz, Kyra H; Chabaari, Winnie; Samuel, Ramolotja Kagiso et al. (2018) Spatial distribution of leprosy in India: an ecological study. Infect Dis Poverty 7:20|
|Fitzpatrick, Meagan C; Gray, Glenda E; Galvani, Alison P (2018) The Challenge of Vanquishing HIV for the Next Generation-Facing the Future. JAMA Pediatr 172:609-610|
|Fallah, Mosoka P; Skrip, Laura A; Raftery, Philomena et al. (2017) Bolstering Community Cooperation in Ebola Resurgence Protocols: Combining Field Blood Draw and Point-of-Care Diagnosis. PLoS Med 14:e1002227|
Showing the most recent 10 out of 41 publications