ERIC Number: EJ1269515
Record Type: Journal
Publication Date: 2020-Sep
Pages: 5
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0036-6811
EISSN: N/A
Available Date: N/A
Pandemics: Facts, Figures and Data Analysis
Harris, Frank
School Science Review, v102 n378 p16-20 Sep 2020
The year 2020 saw the outbreak of the COVID-19 pandemic that not only had wide-reaching social and economic consequences but also put healthcare systems under stress. Strategies for coping with the virus depended heavily on the interpretation of data. This article uses information from a UK upper tier local authority to examine how closely the rise in COVID-19 cases could be predicted from graphs. Plotting the data and analysing the graphs are useful exercises for post-16 science students.
Descriptors: Pandemics, COVID-19, Data Interpretation, Prediction, Graphs, Science Education, Hospitals, Foreign Countries, Mathematical Models, Postsecondary Education
Association for Science Education. College Lane Hatfield, Herts, AL10 9AA, UK. Tel: +44-1-707-283000; Fax: +44-1-707-266532; e-mail: info@ase.org.uk; Web site: http://www.ase.org.uk
Publication Type: Journal Articles; Reports - Descriptive
Education Level: Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: United Kingdom
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Author Affiliations: N/A