Quantifying heterogeneities in dengue virus transmission dynamics
Dengue is a mosquito-borne disease characterized by extensive heterogeneity, including in the severity of symptoms experienced by people infected with dengue virus. As one component of this large, field-based project, the Perkins Lab has applied mathematical modeling to tie together disparate data sets to estimate the contribution to dengue virus transmission made by people with mild symptoms, who often go undetected by public health surveillance. Research activities carried out through that grant are leading to refined estimates of that and related questions, including for Zika virus, which invaded Iquitos during the course of this project.
Computational science is a multidisciplinary field that utilizes advanced computing to understand and solve complex problems. Researchers at the EIGH develop computational models, hardware, software, data management, and more to tackle a variety of global health concerns.
At the EIGH, our researchers use epidemiology to understand the distribution and determinants of the health and disease conditions in specific populations, and to identify risk factors for certain diseases. This allows them to develop, implement, and measure the impact of targeted, preventative healthcare methods.
At the EIGH, our researchers work to combat a number of various illnesses, including infectious diseases caused by organisms like bacteria, viruses, fungi, and parasites. These diseases can also be spread from one person to another and may be transmitted from animals to humans.
Vector-borne disease research is a historic strength of the EIGH. Our researchers study multiple parts of the vector-borne disease lifecycle, such as how the parasites, viruses, and bacteria cause these kinds of diseases, how the vectors spread these diseases, and how to improve prevention methods in tropical and subtropical areas, which have the highest burden of vector-borne illnesses.
- Emory University
- North Carolina State University
- United States Naval Medical Research Unit No. 6, Lima, Peru
- University of California, Davis
Espana, G., Yao, Y., Anderson, K., Fitzpatrick, M., Smith, D., Morrison, A., Wilder-Smith, A., Scott, T., & Perkins, A. Model-based assessment of public health impact and cost-effectiveness of dengue vaccination following screening for prior exposure.
Perkins, A., Reiner, R., Espana, G., ten Bosch, Q., Verma, A., Liebman, K., Paz-Soldan, V., Elder, J., Morrison, A., Stoddard, S., Kitron, U., Vazquez-Prokopec, G., Scott, T., & Smith, D. An agent-based model of dengue virus transmission shows how multiple uncertainties about vaccine efficacy influence public health impact projections.
Lloyd, A., Kitron, U., Perkins, A., Vazquez-Prokopec, G., & Waller, L. The Basic Reproductive Number for Disease Systems with Multiple Coupled Heterogeneities.
Reiner Jr., R., Stoddard, S., Vazquez-Prokopec, G., Astete, H., Perkins, A., Sihuincha, M., Stancil, J., Smith, D., Kochel, T., Halsey, E., Kitron, U., Morrison, A., & Scott, T. Estimating the impact of city-wide Aedes aegypti population control: An observational study in Iquitos, Peru.
ten Bosch, Q., Clapham, H., Lambrechts, L., Duong, V., Buchy, P., Althouse, B., Lloyd, A., Waller, L., Morrison, A., Kitron, U., Vazquez-Prokopec, G., Scott, T., & Perkins, A. Contributions from the silent majority dominate dengue virus transmission.
Perkins, A., Paz-Soldan, V., Stoddard, S., Morrison, A., Forshey, B., Long, K., Halsey, E., Kochel, T., Elder, J., Kitron, U., Scott, T., & Vazquez-Prokopec, G. Calling in sick: impacts of fever on intra-urban human mobility.
Vazquez-Prokopec, G., Perkins, A., Waller, L., Lloyd, A., Reiner, R., Scott, T., & Kitron, U. Coupled Heterogeneities and Their Impact on Parasite Transmission and Control.