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The Antonine Plague. Evaluation of its impact through epidemiological modelling

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081758%3A_____%2F22%3A00568436" target="_blank" >RIV/68081758:_____/22:00568436 - isvavai.cz</a>

  • Result on the web

    <a href="https://academic.oup.com/book/44160/chapter-abstract/372349918?redirectedFrom=fulltext" target="_blank" >https://academic.oup.com/book/44160/chapter-abstract/372349918?redirectedFrom=fulltext</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1093/oso/9780192857828.003.0003" target="_blank" >10.1093/oso/9780192857828.003.0003</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    The Antonine Plague. Evaluation of its impact through epidemiological modelling

  • Original language description

    Since the beginning of discussions about the ‘third-century crisis’, the famous epidemic called the Antonine Plague has been often argued to be a key causal factor. During the crisis period, different segments and regions of the Roman world underwent various forms of turmoil (social unrest and uprising, economic problems, political instability etc.) or external incursions (warfare, barbarian raids). Our current scientific knowledge of the period suggests considerable ranges of the estimated death toll of the epidemic. The main intention of this paper is to test the plausibility of these different estimated impacts, on the basis of emulative digital modelling and simulation. A geographically explicit context, with a cellular framework, represents a workspace for spatio-temporal quantitative simulations to test various scenarios. Model input data include a reconstructed distribution of population density, infrastructure intensity, historical clinical data on the disease, and others. The vital part of simulation dynamics is defined through epidemiology mathematics (a compartment model with dynamics driven by differential equations). Coping with a large array of input variables, which are known and reconstructable only to a limited extent, has constrained our ability to test scenarios for assessing possible quantitative and spatial aspects of the epidemic impact within the demographic structures of the Roman Empire. Nevertheless, on basis of the simulation results it was possible to put some of existing estimates into new perspective regarding their general plausibility.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

  • OECD FORD branch

    60102 - Archaeology

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Book/collection name

    Simulating Roman economies. Theories, methods, and computational models

  • ISBN

    978-0-19-285782-8

  • Number of pages of the result

    40

  • Pages from-to

    69-108

  • Number of pages of the book

    332

  • Publisher name

    Oxford University Press

  • Place of publication

    Oxford

  • UT code for WoS chapter