A5056697351- Viral Infections and Vectors
- Mosquito-borne diseases and control
- COVID-19 epidemiological studies
- Vector-Borne Animal Diseases
- Vector-borne infectious diseases
- Bat Biology and Ecology Studies
- Yersinia bacterium, plague, ectoparasites research
- Zoonotic diseases and public health
- Viral Infections and Outbreaks Research
- Insect symbiosis and bacterial influences
- Viral gastroenteritis research and epidemiology
- Agriculture and Farm Safety
- Healthcare cost, quality, practices
- Tuberculosis Research and Epidemiology
- Insect-Plant Interactions and Control
- Insect and Pesticide Research
- Evolution and Genetic Dynamics
- Urban Transport and Accessibility
- Economic and Environmental Valuation
- Health Systems, Economic Evaluations, Quality of Life
- Insect and Arachnid Ecology and Behavior
Centers for Disease Control and Prevention
2019-2023
National Center for Emerging and Zoonotic Infectious Diseases
2020
Cary Institute of Ecosystem Studies
2016-2019
University of Georgia
2011-2015
Significance Forecasting reservoirs of zoonotic disease is a pressing public health priority. We apply machine learning to datasets describing the biological, ecological, and life history traits rodents, which collectively carry disproportionate number pathogens. identify particular rodent species predicted be novel geographic regions from new emerging pathogens are most likely arise. also describe trait profiles—complexes biological features—that distinguish nonreservoirs. Generally,...
Ebola and other filoviruses pose significant public health conservation threats by causing high mortality in primates, including humans. Preventing future outbreaks of ebolavirus depends on identifying wildlife reservoirs, but extraordinarily biodiversity potential hosts temporally dynamic environments equatorial Africa contributes to sporadic, unpredictable that have hampered efforts identify wild reservoirs for nearly 40 years. Using a machine learning algorithm, generalized boosted...
West Nile virus (WNV) is generally considered to be an urban pathogen in the United States, but studies associating land cover and disease incidence, seroprevalence, or infection rate humans, birds, domesticated wild mammals, mosquitoes report varying sometimes contradictory results at array of spatial extents. Human can provide insight about basic transmission activity; therefore, we analyzed data on incidence WNV humans obtain a comprehensive picture how human type are associated across...
Vector-borne diseases are emerging and re-emerging in urban environments throughout the world, presenting an increasing challenge to human health a major obstacle development. Currently, more than half of global population is concentrated environments, which highly heterogeneous extent, degree, distribution environmental modifications. Because prevalence vector-borne pathogens so closely coupled ecologies vector host species, this heterogeneity has potential significantly alter dynamical...
Rationale: Most U.S. residents who develop tuberculosis (TB) were born abroad, and TB incidence is increasingly driven by infection risks in other countries.Objectives: To estimate the potential impact of effective global control on health economic outcomes United States.Methods: We estimated using linked mathematical models epidemiology States migrants' birth countries. A base-case scenario extrapolated country-specific trends. compared this with scenarios which countries achieve 90%...
Abstract Southeast Brazil has experienced two large yellow fever (YF) outbreaks since 2016. While the 2016–2017 outbreak mainly affected states of Espírito Santo and Minas Gerais, 2017–2018 YF primarily involved São Paulo, Rio de Janeiro, latter which are highly populated popular destinations for international travelers. This analysis quantifies risk virus (YFV) infected travelers arriving in United States via air travel from Brazil, including both incoming Brazilian returning US We assumed...
Abstract Past research has found associations between ebolavirus spillover and forest loss fragmentation, although most predictions of the spatial distribution ebolaviruses have not utilized these data. Spatial temporal scales covariate data measurement also previously been accounted for in predictive models spillover, making it difficult to account variables that influence transmission dynamics, such as movement interaction human animal populations, trade, behavioral responses presence a...
Abstract White-nose syndrome has caused massive mortality in multiple bat species and spread across much of North America, making it one the most destructive wildlife diseases on record. This also resulted being well-documented disease outbreaks, possible to look for changes pattern spatial over time. We fit a series interaction models United States county-level observations pathogenic fungus, Pseudogymnoascus destructans , that causes white-nose syndrome. Models included distance between...