Article ID: CBB546389082

Non-epistemic factors in epidemiological models. The case of mortality data (2021)

unapi

The COVID-19 pandemic has made it especially visible that mortality data are a key component of epidemiological models, being a single indicator that provides information about various health aspects, such as disease prevalence and effectiveness of interventions, and thus enabling predictions on many fronts. In this paper, we illustrate the interrelation between facts and values in death statistics, by analyzing the rules for death certification issued by the World Health Organization. We show how the notion of the underlying cause of death can change in view of public health goals. This brings us to a general point about how non-epistemic factors, such as values and goals, are reflected in the choice of different measures in epidemiological models. We finally argue that this analysis is not only relevant from a theoretical point of view but also has important practical consequences.

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Authors & Contributors
Zizek, Slavoj
Simonutti, Luisa
Fernando Rosa
Brigo, Francesco
David Armando
Stefania Achella
Concepts
Medicine and society
Coronavirus disease 2019 (COVID-19)
Epidemics
Public health
Pandemics
Medicine
Time Periods
21st century
20th century, late
20th century
Early modern
19th century
16th century
Places
Sierra Leone
England
Wales
London (England)
South America
North America
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