Risk calculators during COVID-19 pandemic Four innovative examples from Wrocław
DOI:
https://doi.org/10.15503/emet.2021.112.124Słowa kluczowe:
risk calculator, Adverse Event (AE), Machine Learning (ML), COVID-19, infection probability, risk of severe diseaseAbstrakt
Aim. The Internet and e-health solutions have become an integral part of daily life due to the pandemic. We are exploring the most impactful and positive innovations such as risk calculators or dashboards with forecasts and current situations aimed at providing information to the public.
Concept. We analysed four innovative, Wrocław-based risk calculators which allow users to better understand transmission dynamics, pathogenesis process or infection control.
Result. Practical application: We show that: 1) Polish COVID-19 symptom checker for self-diagnosis is among the leading products providing similar services around the world; 2) predicting disease course at its beginning is one of the main challenges of future medicine due to the availability of various kinds of data; 3) analysis of spatio-temporal transmission patterns based on digital surveillance for a given community can help with managing infection control locally; and 4) Sputnik V risk calculator enables patients to estimate probabilities of having given adverse events (probably the first app of this kind) following a given individual's variables (age, gender and dose).
Conclusion. There are already thousands of disseminated e-health solutions related to the coronavirus pandemic which will shape medicine for the next decade. Risk calculators can impact both individual decisions as well as community public health service.
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Prawa autorskie (c) 2022 Andrzej Jarynowski, Alexander Semenov, Vitaly Belik
Utwór dostępny jest na licencji Creative Commons Uznanie autorstwa 4.0 Międzynarodowe.
