Schistosomiasis, like many other neglected tropical diseases, has strong associations with dynamic climactic, ecological, hydrological and other environmental phenomena, raising an important opportunity for public health decision-making. Because disease persistence and establishment are highly dependent on environmental phenomena, spatial and temporal environmental datasets have the potential to inform public health actions, such as where and when to focus surveillance efforts. This application provides multiple modes of training to the applicant in advanced numerical and statistical methods, applied to the optimization of schistosomiasis surveillance in the presence of environmental heterogeneity in Sichuan Province, China. Surveillance for Schistosoma parasites in China is currently guided by analytical models with key limitations, including simplistic, isotropic spatial functions that perform poorly for environmentally-mediated organisms, and crude phenomenological representations of environmental processes.
The specific aims of this proposal are: 1) to assemble a world-class Schistosoma japonicum epidemiological dataset, combining surveillance and research data into a cohesive, longitudinal database;2) to quantitatively attribute the effects of multiple environmental drivers at varying scales on dynamic Schistosoma outcomes using novel statistical and mathematical approaches, including spatially explicit, graph-theoretic models and time-series approaches allowing for transient coupling;and 3) to optimize Schistosoma surveillance campaigns in Sichuan using models developed in Aim 2, evaluating predictions using historical and contemporary data. The career development and research activities proposed in this application will lead to a more rigorous quantification of environmental drivers of schistosomiasis, more accurate modeling of the spatial and temporal dimensions of risk, and improved selection of surveillance sites and survey timing. The resulting techniques will be generalized for use in other systems where they can be applied to decision-making support in the face of environmental change. The research builds on the candidate's foundation of skills, leveraging existing data and knowledge to support his transition to a productive independent investigator. PUBLIC HEALTH RELEVENCE: Human parasites like schistosomes are known to be highly sensitive to environmental factors. Understanding how these parasites respond to changes in temperature, rainfall and vegetation can be used to inform public health decision-making, such as where and when to focus surveillance for disease outbreaks. The proposed study will be the first to investigate how environmental information can be used to improve public health activities to prevent new parasite infections.
Human parasites like schistosomes are known to be highly sensitive to environmental factors. Understanding how these parasites respond to changes in temperature, rainfall and vegetation can be used to inform public health decision-making, such as where and when to focus surveillance for disease outbreaks. The proposed study will be the first to investigate how environmental information can be used to improve public health activities that to prevent new parasite infections.
|Kraay, Alicia N M; Brouwer, Andrew F; Lin, Nan et al. (2018) Modeling environmentally mediated rotavirus transmission: The role of temperature and hydrologic factors. Proc Natl Acad Sci U S A 115:E2782-E2790|
|Brouwer, Andrew F; Eisenberg, Marisa C; Remais, Justin V et al. (2017) Modeling Biphasic Environmental Decay of Pathogens and Implications for Risk Analysis. Environ Sci Technol 51:2186-2196|
|Jiang, Baoguo; Liang, Song; Peng, Zhong-Ren et al. (2017) Transport and public health in China: the road to a healthy future. Lancet 390:1781-1791|
|Steele, Molly K; Remais, Justin V; Gambhir, Manoj et al. (2016) Targeting pediatric versus elderly populations for norovirus vaccines: a model-based analysis of mass vaccination options. Epidemics 17:42-49|
|Head, Jennifer R; Chang, Howard; Li, Qunna et al. (2016) Genetic Evidence of Contemporary Dispersal of the Intermediate Snail Host of Schistosoma japonicum: Movement of an NTD Host Is Facilitated by Land Use and Landscape Connectivity. PLoS Negl Trop Dis 10:e0005151|
|Eisenhauer, Ian F; Hoover, Christopher M; Remais, Justin V et al. (2016) Estimating the Risk of Domestic Water Source Contamination Following Precipitation Events. Am J Trop Med Hyg 94:1403-6|
|Collender, Philip A; Cooke, Olivia C; Bryant, Lee D et al. (2016) Estimating the microbiological risks associated with inland flood events: Bridging theory and models of pathogen transport. Crit Rev Environ Sci Technol 46:1787-1833|
|Collender, Philip A; Kirby, Amy E; Addiss, David G et al. (2015) Methods for Quantification of Soil-Transmitted Helminths in Environmental Media: Current Techniques and Recent Advances. Trends Parasitol 31:625-639|
|Kim, Dong-Hyeon; Chon, Jung-Whan; Kim, Hong-Seok et al. (2015) Rapid detection of Lactobacillus kefiranofaciens in kefir grain and kefir milk using newly developed real-time PCR. J Food Prot 78:855-8|
|Liang, Song; Yang, Changhong; Zhong, Bo et al. (2014) Surveillance systems for neglected tropical diseases: global lessons from China's evolving schistosomiasis reporting systems, 1949-2014. Emerg Themes Epidemiol 11:19|
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