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Nov
30
Posted by Kathy Downing on November 30th, 2021
Posted in: Blog, CHES Credit, Education and Outreach, NNLM Class
Tags: NNLM, PHDL
Learn how scientist with the help of NASA and community observations are creating regional predictive risk models of mosquito-borne disease outbreaks in Connecting Climate Change, Mosquitos and Community Health.
Scientists use environmental data obtained from NASA satellites to create regional predictive risk models of mosquito-borne disease outbreaks. The spatial patterns of precipitation, humidity, temperature, and land cover identify the locations where disease carrying mosquitoes can thrive and transmit pathogens that cause disease. The data obtained from satellites can be enhanced with high resolution, ground-based observations made by citizen scientists participating in GLOBE Mission Mosquito (GMM). GMM is an international field campaign supporting citizen scientists of all ages to monitor changes in the frequency, range, and distribution of potential disease vector mosquitoes by reporting observations of potential mosquito habitats and land cover using a free mobile app. These data can be downloaded from The GLOBE Program database and analyzed to explore a variety of research questions. Join this fast-paced webinar to learn about the connection between NASA climate change science, citizen science observations, and mosquito-borne disease, including cutting edge research related to machine learning and artificial intelligence.
The class will present several resources and opportunities relevant to library and health professionals and researchers (scientific data, databases, and scientific publications). Information on additional outreach materials (webinars, reference materials, multimedia, hands-on activities, and more) will be included.
Connecting Climate Change, Mosquitoes, and Community Health is being offered as part of the NNLM’s Health Bytes with Region 3 Webinar Series.
ABOUT Kathy Downing