Research by recent Harvard RWJF Health & Society Scholar program alumna Colleen Reid, PhD, on the health hazards of wildfire smoke is featured in this release by University of Colorado Boulder. Photo: Cameron Strandberg, Fitzhugh Newspaper. Jasper, Alberta
Trees (over grass) to promote health in urban settings
Recent Harvard RWJF Health & Society Scholar Colleen Reid, along with Harvard Pop Center faculty member Laura Kubzansky, are authors on a paper that suggests that trees—more than grass and apart from parks—may be a key element to green space when it comes to promoting health in urban settings. Photo: Dylan Passmore on Flickr
Increase in asthma symptoms linked to wildfire smoke, fine particulate matter air pollution
Harvard RWJF Health & Society Scholar Colleen Reid, PhD, is lead author on a study published in Environmental Research that contributes to the growing body of knowledge of health risks associated with wildfire smoke. Photo: Cameron Strandberg, Fitzhugh Newspaper. Jasper, Alberta
Wildfire smoke consistently linked to respiratory health effects, growing evidence of link to mortality
Harvard RWJF Health & Society Scholar Colleen Reid, PhD, is lead author on a study in Environmental Health Perspectives that reviews a range of scientific studies on health effects from exposure to wildfire smoke, and seeks to identify particularly susceptible populations. Photo: Cameron Strandberg, Fitzhugh Newspaper. Jasper, Alberta
Could temperature deviation from past neighboring years increase mortality risk for elderly?
Harvard RWJF Health & Society Scholar Colleen Reid, PhD is an author on a paper published in International Journal of Biometeorology that examines the effects of abnormal weather patterns (temperature deviation compared to previous years) on elderly mortality.
Study shows using machine learning algorithms can reliably predict air quality during major wildfire
Harvard Robert Wood Johnson Health & Society Scholar Colleen Reid, PhD, is lead author on a study published Environmental Science & Technology that applied machine learning algorithms that combine data from satellites and chemical transport models (CMTs) – a type of computer numerical model – to predict fine particulate matter during the 2008 northern California wildfires.
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