Rachel E. Baker
@rebaker.bsky.social
Assistant Professor of Environment and Society, and Epidemiology @BrownUniversity rachelelizabethbaker.com
A model of influenza outbreaks reveals a U-shaped relationship with specific humidity. Very humid and very dry conditions can both favor influenza. The model can predict outbreaks in temperate and tropical climates. In PNAS Nexus: https://ow.ly/E2yk50Zfn1g
New paper from my group led by PhD student Aleksandra Stamper on the environmental drivers of influenza across tropical and temperate locations. @pandemiccenter.bsky.social @brownpublichealth.bsky.social @brown-ibes.bsky.social academic.oup.com/pnasnexus/ar...
Unified climate factors predict influenza outbreak seasonality across tropical and temperate regions
Abstract. Influenza represents a source of considerable morbidity and mortality worldwide, exhibiting seasonal outbreak patterns that vary by location. Tem
academic.oup.com
IBES & @brown-epi.bsky.social Asst Prof @rebaker.bsky.social is lead author of a new review article in @natmed.nature.com ⤵️ @pandemiccenter.bsky.social @brownpublichealth.bsky.social
Nature Medicine@natmed.nature.com · 2mo agoOur latest Review describes how #climate variables affect pathogen transmission, seasonality and outbreak patterns, how these interact with weather extremes and demographic change, & how current data streams can map future disease trajectories.
New (on theme) paper led by @rebaker.bsky.social www.nature.com/articles/s41...
Climate change and infectious diseases - Nature Medicine
This Review examines how climate variables affect pathogen transmission, seasonality and outbreak patterns, how these interact with weather extremes and demographic change, and how current data stream...
nature.com
Our new review paper on climate and infectious disease is out now in Nature Medicine!
Nature Medicine@natmed.nature.com · 3mo agoOur latest Review describes how #climate variables affect pathogen transmission, seasonality and outbreak patterns, how these interact with weather extremes and demographic change, & how current data streams can map future disease trajectories.
