Unknown

Dataset Information

COVID-19 Modeling Outcome versus Reality in Sweden.


ABSTRACT: It has been very difficult to predict the development of the COVID-19 pandemic based on mathematical models for the spread of infectious diseases, and due to major non-pharmacological interventions (NPIs), it is still unclear to what extent the models would have fit reality in a "do nothing" scenario. To shed light on this question, the case of Sweden during the time frame from autumn 2020 to spring 2021 is particularly interesting, since the NPIs were relatively minor and only marginally updated. We found that state of the art models are significantly overestimating the spread, unless we assume that social interactions significantly decrease continuously throughout the time frame, in a way that does not correlate well with Google-mobility data nor updates to the NPIs or public holidays. T

SUBMITTER: Carlsson M 

PROVIDER: S-EPMC9415753 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature