Influenza transmission and its resulting morbidity and mortality are of great concern to society. Strategic intervention may greatly reduce these factors, but the effectiveness of an intervention depends on public adherence, and, more generally, on individual decision making in response to actual and perceived health risks. This project aims to define optimal intervention strategies and policies that significantly improve intervention adherence for both epidemic and pandemic influenza outbreaks. To meet this objective, we will integrate knowledge and methods from epidemiology, mathematical modeling, economics, game theory, and experimental psychology. Contact patterns, which are often dynamic and highly variable, fundamentally influence the spread of disease. These patterns change as individuals make decisions to be vaccinated, accept treatment, take hygienic precautions, or avoid work, school, or public spaces. We will develop new epidemiological models that explicitly consider individual-level perceptions and decisions and their impacts on the contact networks underlying influenza transmission. These models will capture the evolutionary dynamics of influenza, including antigenic drift and the emergence of antiviral resistance. We will apply game-theoretical methods to these models to evaluate different influenza intervention strategies, including vaccination, antiviral-based interventions, and non-pharmaceutical interventions, and to identify strategic opportunities for improving adherence through informational and incentive programs that change individual perceptions and decisions. The contact patterns and psychological components of the models will be based on Bayesian analysis of census data, workflow and recreational mobility data, and real-time influenza surveillance data, as well as on survey studies that evaluate public knowledge and perceptions about the disease. The latter will also provide information on adherence behavior, contact patterns, and the impact of real-time influenza-related decisions on these patterns. Integrating realistic, perception-driven individual-level decision making into epidemiological models will facilitate the evaluation of interventions and the development of strategies to improve adherence both in epidemic and pandemic outbreaks of influenza. Public Health Relevance: By integrating realistic, perception-driven individual-level decision making into epidemiological models, this project will advance methods for predicting the success of interventions and for developing effective strategies for improving intervention adherence.
| Du, Zhanwei; Yang, Yongjian; Gao, Chao et al. (2018) The temporal network of mobile phone users in Changchun Municipality, Northeast China. Sci Data 5:180228 |
| Ertem, Zeynep; Raymond, Dorrie; Meyers, Lauren Ancel (2018) Optimal multi-source forecasting of seasonal influenza. PLoS Comput Biol 14:e1006236 |
| Perofsky, Amanda C; Lewis, Rebecca J; Meyers, Lauren Ancel (2018) Terrestriality and bacterial transfer: a comparative study of gut microbiomes in sympatric Malagasy mammals. ISME J : |
| 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 |
| Bellan, Steven E; Champredon, David; Dushoff, Jonathan et al. (2018) Couple serostatus patterns in sub-Saharan Africa illuminate the relative roles of transmission rates and sexual network characteristics in HIV epidemiology. Sci Rep 8:6675 |
| 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 |
| 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 |
| 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 88 publications
