---
res:
  bibo_abstract:
  - In Fall 2020, several European countries reported rapid increases in COVID-19
    cases along with growing estimates of the effective reproduction rates. Such an
    acceleration in epidemic spread is usually attributed to time-dependent effects,
    e.g. human travel, seasonal behavioral changes, mutations of the pathogen etc.
    In this case however the acceleration occurred when counter measures such as testing
    and contact tracing exceeded their capacity limit. Considering Austria as an example,
    here we show that this dynamics can be captured by a time-independent, i.e. autonomous,
    compartmental model that incorporates these capacity limits. In this model, the
    epidemic acceleration coincides with the exhaustion of mitigation efforts, resulting
    in an increasing fraction of undetected cases that drive the effective reproduction
    rate progressively higher. We demonstrate that standard models which does not
    include this effect necessarily result in a systematic underestimation of the
    effective reproduction rate.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Nazmi B
      foaf_name: Budanur, Nazmi B
      foaf_surname: Budanur
      foaf_workInfoHomepage: http://www.librecat.org/personId=3EA1010E-F248-11E8-B48F-1D18A9856A87
    orcid: 0000-0003-0423-5010
  - foaf_Person:
      foaf_givenName: Björn
      foaf_name: Hof, Björn
      foaf_surname: Hof
      foaf_workInfoHomepage: http://www.librecat.org/personId=3A374330-F248-11E8-B48F-1D18A9856A87
    orcid: 0000-0003-2057-2754
  bibo_doi: 10.1371/journal.pone.0269975
  bibo_issue: '7'
  bibo_volume: 17
  dct_date: 2022^xs_gYear
  dct_identifier:
  - UT:000911392100055
  dct_isPartOf:
  - http://id.crossref.org/issn/1932-6203
  dct_language: eng
  dct_publisher: Public Library of Science@
  dct_title: An autonomous compartmental model for accelerating epidemics@
  fabio_hasPubmedId: '35849565'
...