Author: Christian Dudel; Tim Riffe; Enrique Acosta; Alyson A. van Raalte; Mikko Myrskyla
Title: Monitoring trends and differences in COVID-19 case fatality rates using decomposition methods: Contributions of age structure and age-specific fatality Document date: 2020_4_2
ID: 6ub9yh27_5
Snippet: In this paper, we analyze cross-country differences in observed CFRs and within-country time trends in CFRs. We use recent data on China, France, Germany, Italy, South Korea, Spain, and the United States. We use a standard demographic decomposition technique [6] to disentangle two potential drivers of differences and trends: (1) the age structure of diagnosed infection cases and (2) age-specific case-fatality rates. We interpret our findings in l.....
Document: In this paper, we analyze cross-country differences in observed CFRs and within-country time trends in CFRs. We use recent data on China, France, Germany, Italy, South Korea, Spain, and the United States. We use a standard demographic decomposition technique [6] to disentangle two potential drivers of differences and trends: (1) the age structure of diagnosed infection cases and (2) age-specific case-fatality rates. We interpret our findings in light of the unfolding knowledge about data-driven biases.
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