TY - JOUR
KW - Sociologica;
AU - Joachim Maier
AB - During the Covid-19 pandemic, scientists have described the spread of the virus using different theoretical models. Even though some of these models are difficult to understand in detail, they are typically based on a few classic epidemiological models that are understandable even to non-experts. In this article, we discuss some of these classic models and highlight important conclusions that can be drawn from them. We are convinced that understanding these models can contribute significantly to public acceptance of government interventions and to constructive discussions about upcoming decisions. The media often portray mathematical models as complicated black boxes that only a few experts can understand. Even though the development and analysis of mathematical models indeed requires the expertise of specialists, we believe that our society can understand many aspects of these models and the theoretical basis of infectious disease dynamics.
BT - NAL-LIVE
DA - 07/2024
DO - 10.34714/leopoldina_NAL-live_0004_01000
M3 - Research Article
N2 - During the Covid-19 pandemic, scientists have described the spread of the virus using different theoretical models. Even though some of these models are difficult to understand in detail, they are typically based on a few classic epidemiological models that are understandable even to non-experts. In this article, we discuss some of these classic models and highlight important conclusions that can be drawn from them. We are convinced that understanding these models can contribute significantly to public acceptance of government interventions and to constructive discussions about upcoming decisions. The media often portray mathematical models as complicated black boxes that only a few experts can understand. Even though the development and analysis of mathematical models indeed requires the expertise of specialists, we believe that our society can understand many aspects of these models and the theoretical basis of infectious disease dynamics.
PY - 2025
ST - Sociological Cycles
T2 - NAL-LIVE
TI - V. 1.0 Sociological Cycles: The Role of Expectation-Reality Gaps
VL - 4/2025
ER -