Abstract
We discuss the use of quantitative data and methods to understand where and how COVID-19 spreads, to estimate and predict its impacts on population health and wellbeing, and to plan effective public health responses. Geographic approaches often involve developing multi-scalar and dynamic models that incorporate geographic processes and variability, harnessing big and real-time data on people’s mobilities and interactions, and paying attention to how gender, ethnicity, and other dimensions of people’s identities intersect with larger structures in impacting the uneven geographies of COVID-19 risk. Our chapter addresses each of these topics while highlighting the need for critical and place-based approaches that are sensitive to local and regional variability in COVID-19 processes and impacts.
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McLafferty, S.L., Guhlincozzi, A., Winata, F. (2021). Counting COVID: Quantitative Geographical Approaches to COVID-19. In: Andrews, G.J., Crooks, V.A., Pearce, J.R., Messina, J.P. (eds) COVID-19 and Similar Futures. Global Perspectives on Health Geography. Springer, Cham. https://doi.org/10.1007/978-3-030-70179-6_54
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DOI: https://doi.org/10.1007/978-3-030-70179-6_54
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