Kate Bishop-Williams and co-authors recently published an article in the International Journal of Environmental Research and Public Health. The article explored how understanding hospital admission patterns can promote climate change adaptation. Through this article, we illustrate how analyzing hospital data alongside meteorological parameters may inform climate-health planning in low-resource contexts.
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In this episode, Kate talks about how she used an America Adapts episode, “Deconstructing a Climate Change Skeptic” as part of her class curricula at the University of Waterloo. Specifically, in this interview, "Kate discusses why she chose this episode to use a tool to teach her students effective climate communication."
Kate touches on the following topics in her interview:
Using podcasts in the classroom to promote environmental change;
Learning that climate skepticism is more prevalent than many realize;
Developing guidelines for listening to a podcast and talking climate change;
Understanding the role of open access educational materials, especially climate resources;
Students explain how listening to a climate skeptic enhanced their ability to communicate climate change.
Congratulations to Kate Bishop Williams for her new publication in the journal Systematic Reviews. This article outlines the protocol that Kate will use to conduct a systematic review to investigate whether associations between acute respiratory illness and seasonal or meteorological parameters differ between Indigenous and non-Indigenous groups residing in the same geographical region.
Citation: Bishop-Williams KE, Sargeant JM, Berrang-Ford L, Edge VL, Cunsolo A, Harper SL. A protocol for a systematic literature review: comparing the impact of seasonal and meteorological parameters on acute respiratory infections in Indigenous and non-Indigenous peoples. Systematic Reviews 2017; 6(1): 19. Click here for free open-acces to the article.
Background: Acute respiratory infections (ARI) are a leading cause of morbidity and mortality globally, and are often linked to seasonal and/or meteorological conditions. Globally, Indigenous peoples may experience a different burden of ARI compared to non-Indigenous peoples. This protocol outlines our process for conducting a systematic review to investigate whether associations between ARI and seasonal or meteorological parameters differ between Indigenous and non-Indigenous groups residing in the same geographical region.
Methodology: A search string will be used to search PubMed®, CAB Abstracts/CAB Direct©, and Science Citation Index®aggregator databases. Articles will be screened using inclusion/exclusion criteria applied first at the title and abstract level, and then at the full article level by two independent reviewers. Articles maintained after full article screening will undergo risk of bias assessment and data will be extracted. Heterogeneity tests, meta-analysis, and forest and funnel plots will be used to synthesize the results of eligible studies.
Discussion and registration: This protocol paper describes our systematic review methods to identify and analyze relevant ARI, season, and meteorological literature with robust reporting. The results are intended to improve our understanding of potential associations between seasonal and meteorological parameters and ARI and, if identified, whether this association varies by place, population, or other characteristics. The protocol is registered in the PROSPERO database (#38051).