Mathematics Faculty Articles
Document Type
Article
Publication Date
3-2023
Publication Title
Acta Tropica
Keywords
Aedes aegypti, mosquito control, vector-borne disease, mathematical modeling, population dynamics
ISSN
0001-706X
Volume
238
Abstract
Aedes aegypti is one of the most dominant mosquito species in the urban areas of Miami-Dade County, Florida, and is responsible for the local arbovirus transmissions. Since August 2016, mosquito traps have been placed throughout the county to improve surveillance and guide mosquito control and arbovirus outbreak response. In this paper, we develop a deterministic mosquito population model, estimate model parameters by using local entomological and temperature data, and use the model to calibrate the mosquito trap data from 2017 to 2019. We further use the model to compare the Ae. aegypti population and evaluate the impact of rainfall intensity in different urban built environments. Our results show that rainfall affects the breeding sites and the abundance of Ae. aegypti more significantly in tourist areas than in residential places. In addition, we apply the model to quantitatively assess the effectiveness of vector control strategies in Miami-Dade County.
Additional Comments
This research was partially supported by the National Science Foundation (DMS-1853622, DMS-1853562), the Miami-Dade Mosquito Control Division, and the CDC (https://www.cdc.gov/) grant 1U01CK000510-05: Southeastern Regional Center of Excellence in Vector-Borne Diseases: The Gateway Program. NSF and CDC had no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript. The authors would like to thank the two anonymous reviewers for their helpful comments and valuable suggestions.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
NSUWorks Citation
Chen, Jing; Huo, Xi; Wilke, Andre B. B.; Beier, John C.; Vasquez, Chalmers; Petrie, William; Cantrell, Robert Stephen; Cosner, Chris; and Ruan, Shigui, "Linking Mathematical Models and Trap Data to Infer the Proliferation, Abundance, and Control of Aedes aegypti" (2023). Mathematics Faculty Articles. 357.
https://nsuworks.nova.edu/math_facarticles/357
ORCID ID
https://orcid.org/0000-0001-8893-8156
DOI
10.1016/j.actatropica.2023.106837
Comments
0001-706X/© 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).