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A downscaling approach to compare COVID‐19 count data from databases aggregated at different spatial scales.

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Title: A downscaling approach to compare COVID‐19 count data from databases aggregated at different spatial scales.
Authors: Python, Andre1 (AUTHOR) apython@zju.edu.cn, Bender, Andreas2 (AUTHOR), Blangiardo, Marta3 (AUTHOR), Illian, Janine B.4 (AUTHOR), Lin, Ying5 (AUTHOR), Liu, Baoli6,7 (AUTHOR), Lucas, Tim C.D.8 (AUTHOR), Tan, Siwei9 (AUTHOR), Wen, Yingying9 (AUTHOR), Svanidze, Davit10 (AUTHOR), Yin, Jianwei1,9 (AUTHOR)
Source: Journal of the Royal Statistical Society: Series A (Statistics in Society). Jan2022, Vol. 185 Issue 1, p202-218. 17p. 2 Color Photographs, 1 Chart, 2 Graphs.
Database: Mathematics Source
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        Value: 10.1111/rssa.12738
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        Text: English
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      – TitleFull: A downscaling approach to compare COVID‐19 count data from databases aggregated at different spatial scales.
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              Text: Jan2022
              Type: published
              Y: 2022
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