Trade-offs between individual and ensemble forecasts of an emerging infectious disease - Oidtman et. al and Perkins (Nature Communications, 2021)
https://t.co/FtWtDXGQYz
Could old-growth forests be the key to curbing climate change? A new ESSIC-led study maps the forests of the American Midwest over millennia, and has the potential to shift ongoing debates about how landscapes can be managed to maximize carbon storage. https://t.co/hwar8DjFK4
Changing how forests are managed could mitigate the effects of #ClimateChange.
In a paper published by @ScienceMagazine, @ESSICUMD postdoc @annraiho mapped forests to monitor #CarbonStorage. Read why she says it's important to sustain large trees: https://t.co/fFEOGL8FtR
Our preprint is out! In this study, we established a mathematical framework to select sites for future clinical chikungunya vaccine trials. This framework is flexible for different trial designs and other emerging diseases as it only requires serological data.
2020 saw an unexpected decline in dengue cases. Here we link this to specific COVID-19 movement restrictions and estimate they averted 720,000 cases. Will have a considerable (+/-?) impact on future dengue dynamics and hints at new control strategies https://t.co/NDaorbBXIZ
We are starting an iniative in Computational One Health at the University of Idaho! We currently have positions open for four research staff positions: https://t.co/VkvEEjBL5E This is a great opportunity to work with a fun team in a beautiful location!!!