This project will develop and test spatial analytical and social network analysis methods for vaccine trials and disease transmission modeling. Existing methods limit the extrapolation of results and are sometimes of questionable validity. This project builds on earlier work by the investigators that developed theory and methods for incorporating neighborhood-level variables into """"""""ecological vaccine trials"""""""" (Ali et al., 2005, 2008;Emch et al., 2006, 2007). In 1985, a community-based individually-randomized oral cholera vaccine trial was conducted in Matlab, Bangladesh. This proposed study will reanalyze the cholera vaccine trial data using new measures of social and environmental connectivity developed with social network analysis software, a geographic information system (GIS), and satellite remote sensing technologies. These new measures will help determine: (1) how placebo incidence and protective efficacy (PE) vary within social networks;(2) how placebo incidence and PE vary spatially by different environmental contexts;and (3) how spatial, environmental, and social network information can be used simultaneously to assess the effectiveness of vaccines and disease risk. We will use four data sets, already collected by the investigators, including: (1) a large cholera vaccine trial database, (2) a comprehensive longitudinal demographic database from which the vaccine trial participants were selected, (3) an accurate household-level GIS database, and (4) high resolution Quickbird satellite imagery. We will measure kinship ties between all households using a complete network design as well as environmental connectivity using satellite imagery and GIS techniques. These GIS and satellite databases, in conjunction with the demographic, social network, and vaccine datasets, will facilitate adding integrated spatial, environmental, and social components to this vaccine evaluation study. Reanalyzing the Matlab oral cholera vaccine trial using a spatial analytical framework and social and environmental connectivity measures can give new insight into vaccine effectiveness evaluation and disease transmission modeling. As a result, the theoretical and methodological issues addressed in this project will have important implications for future vaccine trials.
This proposed study will reanalyze an existing cholera vaccine trial database using new measures of social and environmental connectivity developed with social network analysis software, a geographic information system (GIS), and satellite remote sensing technologies. These methods will help determine: (1) how placebo incidence and efficacy vary within social networks;(2) how placebo incidence and efficacy vary spatially by different environmental contexts;and (3) how spatial, environmental, and social network information can be used simultaneously to assess the effectiveness of vaccines.
| Winston, Jennifer Jane; Escamilla, Veronica; Perez-Heydrich, Carolina et al. (2013) Protective benefits of deep tube wells against childhood diarrhea in Matlab, Bangladesh. Am J Public Health 103:1287-91 |
| Perez-Heydrich, Carolina; Furgurson, Jill M; Giebultowicz, Sophia et al. (2013) Social and spatial processes associated with childhood diarrheal disease in Matlab, Bangladesh. Health Place 19:45-52 |
| Emch, Michael; Root, Elisabeth D; Giebultowicz, Sophia et al. (2012) Integration of Spatial and Social Network Analysis in Disease Transmission Studies. Ann Assoc Am Geogr 105:1004-1015 |
| Giebultowicz, Sophia; Ali, Mohammad; Yunus, Mohammad et al. (2011) A comparison of spatial and social clustering of cholera in Matlab, Bangladesh. Health Place 17:490-7 |
| Ali, Mohammad; Emch, Michael; Park, Jin Kyung et al. (2011) Natural cholera infection-derived immunity in an endemic setting. J Infect Dis 204:912-8 |
