Mathematics Models for Aedes Albopictus Population Pattern in Miami-Dade
Abstract
Miami-Dade’s humid tropical climate is conducive to an outbreak of vector transmission diseases. To protect their residents, cities in those areas enforce spraying schemes to keep the mosquito population under control. However, collecting data from mosquito traps alone cannot provide sufficient information for an effective and efficient spraying system. Hence, this research seeks to find mathematical models that reflect a dominant mosquito Aedes Albopictus population in South Florida’s areas. We determined the parameter of life span, oviposition, juvenile survival, and development rate models driven by the temperature using computer simulation. For further study, we compared Aedes Albopictus and Aedes Aegypti. Then, we will apply the Markov Chain Monte Carlo algorithm to fit the Aedes Albopictus population model in an annual cycle.
Faculty Sponsors
Jing Chen
Project Type
Event
Location
Alvin Sherman Library
Start Date
4-5-2023 12:00 PM
End Date
4-6-2023 4:00 PM
Mathematics Models for Aedes Albopictus Population Pattern in Miami-Dade
Alvin Sherman Library
Miami-Dade’s humid tropical climate is conducive to an outbreak of vector transmission diseases. To protect their residents, cities in those areas enforce spraying schemes to keep the mosquito population under control. However, collecting data from mosquito traps alone cannot provide sufficient information for an effective and efficient spraying system. Hence, this research seeks to find mathematical models that reflect a dominant mosquito Aedes Albopictus population in South Florida’s areas. We determined the parameter of life span, oviposition, juvenile survival, and development rate models driven by the temperature using computer simulation. For further study, we compared Aedes Albopictus and Aedes Aegypti. Then, we will apply the Markov Chain Monte Carlo algorithm to fit the Aedes Albopictus population model in an annual cycle.
