67 citations · 92 across the 10 of their papers we have counts for
5 papers · 1 filter
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…
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…