67 citations · 92 across the 10 of their papers we have counts for
10 papers
Optimal Scheduling of Dengue Vector Control
Aram Vajdi, Lee W. Cohnstaedt, Caterina M. Scoglio +1
Dengue transmission is shaped by the population dynamics of the Aedes aegypti mosquito, making vector control a central strategy for disease mitigation. The impact of interventions…
A two-parameter, minimal-data model to predict dengue cases: the 2022-2023 outbreak in Florida, USA
Saman Hosseini, Lee W. Cohnstaedt, Caterina Scoglio
Reliable and timely dengue predictions can provide an actionable lead time for targeted vector control and clinical preparedness, reducing preventable disease and health-system cos…
A Data-Parsimonious Model for Long-Term Risk Assessments of West Nile Virus Spillover
Saman Hosseini, Lee W. Cohnstaedt, Matin Marjani +1
Many West Nile virus (WNV) forecasting frameworks incorporate entomological or avian surveillance data, which may be unavailable in some regions. We introduce a novel data-parsimon…
EpidemIQs: Prompt-to-Paper LLM Agents for Epidemic Modeling and Analysis
Mohammad Hossein Samaei, Faryad Darabi Sahneh, Lee W. Cohnstaedt +1
Large Language Models (LLMs) offer new opportunities to accelerate complex interdisciplinary research domains. Epidemic modeling, characterized by its complexity and reliance on ne…
Probabilistic Assessment of West Nile Virus Spillover Risk Using a Compartmental Mechanistic Model
Saman Hosseini, Lee W. Cohnstaedt, Matin Marjani +1
This paper presents a novel probabilistic approach for assessing the risk of West Nile Disease (WND) spillover to the human population. The assessment has been conducted under two…
Assessing Dengue Risk Globally Using Non-Markovian Models
Aram Vajdi, Lee W. Cohnstaedt, Caterina M. Scoglio
Dengue is a vector-borne disease transmitted by Aedes mosquitoes. The worldwide spread of these mosquitoes and the increasing disease burden have emphasized the need for a spatio-t…
A Non-Markovian Model to Assess Contact Tracing for the Containment of COVID-19
Aram Vajdi, Lee W. Cohnstaedt, Leela E. Noronhaz +3
COVID-19 remains a challenging global threat with ongoing waves of infections and clinical disease which have resulted millions of deaths and an enormous strain on health systems w…
A windowed correlation based feature selection method to improve time series prediction of dengue fever cases
Tanvir Ferdousi, Lee W. Cohnstaedt, Caterina M. Scoglio
The performance of data-driven prediction models depends on the availability of data samples for model training. A model that learns about dengue fever incidence in a population us…
A hierarchical network approach for modeling Rift Valley fever epidemics with applications in North America
Ling Xue, Lee W. Cohnstaedt, H. Morgan Scott +1
Rift Valley fever is a vector-borne zoonotic disease which causes high morbidity and mortality in livestock. In the event Rift Valley fever virus is introduced to the United States…
A Network-Based Meta-Population Approach to Model Rift Valley Fever Epidemics
Ling Xue, H. Morgan Scott, Lee. Cohnstaedt +1
Rift Valley fever virus (RVFV) has been expanding its geographical distribution with important implications for both human and animal health. The emergence of Rift Valley fever (RV…