Full Citation
Title: Using Topological Maps to Explore the COVID-19 Pandemic in Canada
Citation Type: Journal Article
Publication Year: 2021
ISBN:
ISSN: 19119925
DOI: 10.3138/CART-2020-0025
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PMCID:
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Abstract: The authors use a combination of national microdata from the Integrated Public Use Microdata Series (IPUMS) and regional population and health microdata, spatialized to the household level, and use historical GIS ( SIGH) to track the transmission of influenza infection among public school children on the northern peninsula of Michigan during the 1918 pandemic. Microdata are non-aggregated data from aextreme degree of precision. The authors describe three important advantages of using historical microdata in the context of HGIS the contextualization of data in space and time in correspondence with the period, the avoidance of ecological error and the ability to navigate freely between the micro and macro scales. They show the potential of studying historical pandemics using historical microdata by conducting a spatiotemporal analysis of this infectious respiratory disease in three schools from April to June 1918. In this paper we utilize a combination of national microdata from the Integrated Public Use Microdata Series (IPUMS) with local population and health microdata, spatialized to thehousehold level, and employ an historical GIS (HGIS) to follow infectious disease transmission between public school children in Michigan’s Upper Peninsula during the 1918 influenza pandemic. Microdata are data at the finest, non-aggregated level of precision. We illustrate three important advantages of using historical microdata within an HGIS framework contextualization of data within their period-accurate space—time, avoidance of the ecological fallacy, and the ability to move freely between micro and macro scales. We demonstrate the potential for studying historic pandemics using historical microdata by doing a spatiotemporal analysis following infectious respiratory disease through three schools from April to June 1918.
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Authors: Lafreniere, Don; Stone, Timothy; Hildebrandt, Rose; Sadler, Richard C.; Madison, Michael; Trepal, Daniel; Spikberg, Gary; Juip, James
Periodical (Full): Cartographica
Issue: 1
Volume: 56
Pages: 51-63
Data Collections: IPUMS USA
Topics: Health, Population Mobility and Spatial Demography, Work, Family, and Time
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