title: Comparing dengue and chikungunya emergence and endemic transmission in A. aegypti and A. albopictus.
abstract: Chikungunya and dengue are re-emerging mosquito-borne infectious diseases that are of increasing concern as human travel and expanding mosquito ranges increase the risk of spread. We seek to understand the differences in transient and endemic behavior of chikungunya and dengue; risk of emergence for different virus-vector assemblages; and the role that virus evolution plays in disease dynamics and risk. To address these questions, we adapt a mathematical mosquito-borne disease model to chikungunya and dengue in Aedes aegypti and Aedes albopictus mosquitoes. We derive analytical threshold conditions and important dimensionless parameters for virus transmission; perform sensitivity analysis on quantities of interest such as the basic reproduction number, endemic equilibrium, and first epidemic peak; and compute distributions for the quantities of interest across parameter ranges. We found that chikungunya and dengue exhibit different transient dynamics and long-term endemic levels. While the order of most sensitive parameters is preserved across vector-virus combinations, the magnitude of sensitivity is different across scenarios, indicating that risk of invasion or an outbreak can change with vector-virus assemblages. We found that the dengue - A. aegypti and new Rèunion strain of chikungunya - A. albopictus systems represent the highest risk across the range of parameters considered. These results inform future experimental and field research efforts and point toward effective mitigation strategies adapted to each disease.
authors.affiliation: Center for Computational Science, Tulane University, New Orleans, LA 70118, United States. Electronic address: cmanore@tulane.edu.
authors.forename: Carrie A
authors.initials: CA
authors.lastname: Manore
authors.affiliation: Center for Computational Science, Tulane University, New Orleans, LA 70118, United States.
authors.forename: Kyle S
authors.initials: KS
authors.lastname: Hickmann
authors.affiliation: Department of Mathematics, Tulane University, New Orleans, LA 70118, United States.
authors.forename: Sen
authors.initials: S
authors.lastname: Xu
authors.affiliation: Department of Mathematics & Statistics, The University of New Mexico Albuquerque, NM 87131, United States; Department of Biology, The University of New Mexico Albuquerque, NM 87131, United States.
authors.forename: Helen J
authors.initials: HJ
authors.lastname: Wearing
authors.affiliation: Department of Mathematics, Tulane University, New Orleans, LA 70118, United States.
authors.forename: James M
authors.initials: JM
authors.lastname: Hyman
mesh_terms: D000330:Aedes; D000818:Animals; D065632:Chikungunya Fever / Q000453:epidemiology / Q000635:transmission; D002646:Chikungunya virus; D003715:Dengue / Q000453:epidemiology / Q000635:transmission; D003716:Dengue Virus; D019353:Endemic Diseases; D006801:Humans; D007303:Insect Vectors; D008954:Models, Biological
keywords: Disease comparison; Emerging disease; Mathematical model; Vector-borne disease control