chikungunya

A Bayesian spatiotemporal approach to modelling arboviral diseases in Mexico

October 19, 2023

Flying Under the Radar

May 11, 2020

Spatial variation in the frequency of knockdown resistance genotypes in Florida Aedes aegypti populations

May 11, 2020

Spatiotemporal Tools for Emerging and Endemic Disease Hotspots in Small Areas: An Analysis of Dengue and Chikungunya in Barbados, 2013–2016

April 27, 2020

Machine Learning Predictions of Dengue Patients Outcomes Yield Promising Results

March 5, 2020

Severity Index for Suspected Arbovirus (SISA): Machine learning for accurate prediction of hospitalization in subjects suspected of arboviral infection

February 14, 2020

Geography Colloquium: Decisions will be made – modeling vector borne disease at multiple scales for different purposes and use

January 10, 2020

New maps show where mosquitoes will invade Ecuador’s Andes mountains

April 25, 2019

Social-Ecological Factors Drive Dengue and Mosquito Presence in the Galapagos

March 8, 2019

Geography Grad student receives best PhD paper at the 2018 SEDAAG annual meeting!

December 5, 2018

Nonlinear and delayed impacts of climate on dengue risk in Barbados: A modelling study

July 17, 2018

New research models temperature-driven Zika, dengue, and chikungunya transmission

May 10, 2017

Farewell to summer MedGeo researcher

August 19, 2016

NSF Funding UF Research on Climate Change Impacts on Vectorborne Disease

September 21, 2015