COVID-19

Follow here my ideas and projects connected to the COVID-19 pandemic

What is the role of monitoring breakthrough infections ? Our recent publication The impact of COVID-19 vaccines on the Case Fatality Rate: The importance of monitoring breakthrough infections formally showed how in the presence of vaccines, the case fatality rate (CFR) depends not only on the effectiveness of vaccines in preventing deaths but also on the detection of breakthrough infections. As a result, a decline in the CFR may not imply that vaccines are effective in reducing deaths. Likewise, a constant CFR can still mean that vaccines are effective in reducing deaths. This shows how unless efforts are directed at detecting breakthrough infections, it is hard to disentangle the effect of vaccines in reducing deaths from the probability of detecting infections on the CFR.

Source: Own elaboration, extracted from di Lego et al., 2022
Source: Own elaboration, extracted from di Lego et al., 2022

Other research with colleagues Miguel Sánchez-Romero, Alexia Fürnkranz-Prskawetz, and Bernardo Lanza Queiroz on COVID-19 has focused on indirectly estimating the proportion of people ever infected, the interpretation of the case-fatality rate (CFR), and estimating the effectiveness of vaccines in preventing deaths. Our most recent published work was An indirect method to monitor the fraction of people ever infected with COVID-19: An application to the United States. In this work we propose a complementary approach that combines estimated (1) infection fatality rates (IFR) using a Bayesian melding SEIR model with (2) reported case-fatality rates (CFR), in order to indirectly estimate the fraction of people ever infected (from the total population) and detected (from the ever infected). We apply the technique to the U.S. due to their remarkable regional diversity and because at the moment of our analysis (January 2021) the country counted with almost a quarter of all global confirmed cases and deaths. You can find all the codes to replicate the study here.

Source: Own elaboration, extracted from Sánchez-Romero et al., 2021
Source: Own elaboration, extracted from Sánchez-Romero et al., 2021

We also performed an extensive estimation for all countries in the world in a working paper of the Vienna University of Technology, Institute of Statistics and Mathematical Methods in Economics, Research Group Economics, Vienna entitled How many lives can be saved? A global view on the impact of testing, herd immunity and demographics on COVID-19 fatality rates, where we assess the impact of testing, herd immunity and demographics in COVID-19 Fatality rates.

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Text and figures are licensed under Creative Commons Attribution CC BY 4.0. Source code is available at https://github.com/vdilego/vdilego.github.io, unless otherwise noted. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".