Efforts to control dengue virus (DENV) transmission are constrained by the inadequacy of current tools to combat the vectors and virus, and by our limited understanding of the biological, social, and human behavioral dimensions of virus transmission, their heterogeneities and the interactions between them. Heterogeneity is a driver of both biological and epidemiological complexity, and needs to be accurately quantified in order to improve surveillance, generate disease predictions and design science-based interventions. Our underlying hypothesis is that transmission of DENV in urban areas is driven by heterogeneities in movement patterns and infectiousness of humans with a range of disease manifestations, and in opportunities for encounters between humans and mosquito vectors. To test this hypothesis novel theoretical and quantitative analyses will be applied to a unique database derived from diverse empirical field data from this and previous projects through the following three aims. (1) Develop novel conceptual and empirical models that accommodate heterogeneities in human movement in response to disease, mosquito population dynamics and virus transmission. Generated mathematical models will integrate the spectrum of DENV severity (including inapparent infections), individual variations in human mobility and infectiousness, and variations in vector productivity, abundance, and flight dispersal. (2) Quantify epidemiologic patterns of DENV transmission in space and time and derive key parameters for transmission models. Novel statistical techniques will be applied to retrospectively and prospectively collected field data to inform the primary structure of models as well as define their parameterization. (3) Assess the impacts of surveillance and control programs, including vaccination and vector control, on the dynamics of DENV transmission and propagation. Various scenarios to assess the impacts of alternative intervention strategies targeting potential """"""""super-spreaders"""""""" and """"""""key locations"""""""" of dengue transmission will be simulated through model testing and uncertainty analyses. Of particular interest is the hidden impact of inapparent and unreported mild cases, a potentially key, understudied element in DENV dynamics and control.

Public Health Relevance

Dengue is the most important global human mosquito-borne viral infection, with 3.97 billion people in 128 countries at risk and an estimated 390 million new infections each year. Control efforts are constrained by the inadequacy of current tools and limited understanding of the biological, social, and behavioral determinants of virus transmission. Novel modeling approaches will consider the full range of these determinants, including the role of inapparent infections and movement patterns are needed.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Program Projects (P01)
Project #
1P01AI098670-01A1
Application #
8666962
Study Section
Special Emphasis Panel (ZAI1)
Project Start
Project End
Budget Start
2014-05-01
Budget End
2015-04-30
Support Year
1
Fiscal Year
2014
Total Cost
Indirect Cost
Name
University of California Davis
Department
Type
DUNS #
City
Davis
State
CA
Country
United States
Zip Code
Okamoto, Kenichi W; Gould, Fred; Lloyd, Alun L (2016) Integrating Transgenic Vector Manipulation with Clinical Interventions to Manage Vector-Borne Diseases. PLoS Comput Biol 12:e1004695
Brady, Oliver J; Godfray, H Charles J; Tatem, Andrew J et al. (2016) Vectorial capacity and vector control: reconsidering sensitivity to parameters for malaria elimination. Trans R Soc Trop Med Hyg 110:107-17
Fontaine, Albin; Jiolle, Davy; Moltini-Conclois, Isabelle et al. (2016) Excretion of dengue virus RNA by Aedes aegypti allows non-destructive monitoring of viral dissemination in individual mosquitoes. Sci Rep 6:24885
Forshey, Brett M; Reiner, Robert C; Olkowski, Sandra et al. (2016) Incomplete Protection against Dengue Virus Type 2 Re-infection in Peru. PLoS Negl Trop Dis 10:e0004398
Messina, Jane P; Kraemer, Moritz Ug; Brady, Oliver J et al. (2016) Mapping global environmental suitability for Zika virus. Elife 5:
Vazquez-Prokopec, Gonzalo M; Perkins, T Alex; Waller, Lance A et al. (2016) Coupled Heterogeneities and Their Impact on Parasite Transmission and Control. Trends Parasitol 32:356-67
Paz-Soldan, Valerie A; Bauer, Karin M; Lenhart, Audrey et al. (2016) Experiences with insecticide-treated curtains: a qualitative study in Iquitos, Peru. BMC Public Health 16:582
Messina, Jane P; Brady, Oliver J; Pigott, David M et al. (2015) The many projected futures of dengue. Nat Rev Microbiol 13:230-9
Duong, Veasna; Lambrechts, Louis; Paul, Richard E et al. (2015) Asymptomatic humans transmit dengue virus to mosquitoes. Proc Natl Acad Sci U S A 112:14688-93
Paz-Soldán, Valerie A; Morrison, Amy C; Cordova Lopez, Jhonny J et al. (2015) Dengue Knowledge and Preventive Practices in Iquitos, Peru. Am J Trop Med Hyg 93:1330-7

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