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Documents authored by Wise, Sarah


Document
Complete Volume
LIPIcs, Volume 277, GIScience 2023, Complete Volume

Authors: Roger Beecham, Jed A. Long, Dianna Smith, Qunshan Zhao, and Sarah Wise

Published in: LIPIcs, Volume 277, 12th International Conference on Geographic Information Science (GIScience 2023)


Abstract
LIPIcs, Volume 277, GIScience 2023, Complete Volume

Cite as

12th International Conference on Geographic Information Science (GIScience 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 277, pp. 1-740, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)


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@Proceedings{beecham_et_al:LIPIcs.GIScience.2023,
  title =	{{LIPIcs, Volume 277, GIScience 2023, Complete Volume}},
  booktitle =	{12th International Conference on Geographic Information Science (GIScience 2023)},
  pages =	{1--740},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-288-4},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{277},
  editor =	{Beecham, Roger and Long, Jed A. and Smith, Dianna and Zhao, Qunshan and Wise, Sarah},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2023},
  URN =		{urn:nbn:de:0030-drops-188945},
  doi =		{10.4230/LIPIcs.GIScience.2023},
  annote =	{Keywords: LIPIcs, Volume 277, GIScience 2023, Complete Volume}
}
Document
Front Matter
Front Matter, Table of Contents, Preface, Conference Organization

Authors: Roger Beecham, Jed A. Long, Dianna Smith, Qunshan Zhao, and Sarah Wise

Published in: LIPIcs, Volume 277, 12th International Conference on Geographic Information Science (GIScience 2023)


Abstract
Front Matter, Table of Contents, Preface, Conference Organization

Cite as

12th International Conference on Geographic Information Science (GIScience 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 277, pp. 0:i-0:xxiv, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)


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@InProceedings{beecham_et_al:LIPIcs.GIScience.2023.0,
  author =	{Beecham, Roger and Long, Jed A. and Smith, Dianna and Zhao, Qunshan and Wise, Sarah},
  title =	{{Front Matter, Table of Contents, Preface, Conference Organization}},
  booktitle =	{12th International Conference on Geographic Information Science (GIScience 2023)},
  pages =	{0:i--0:xxiv},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-288-4},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{277},
  editor =	{Beecham, Roger and Long, Jed A. and Smith, Dianna and Zhao, Qunshan and Wise, Sarah},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2023.0},
  URN =		{urn:nbn:de:0030-drops-188950},
  doi =		{10.4230/LIPIcs.GIScience.2023.0},
  annote =	{Keywords: Front Matter, Table of Contents, Preface, Conference Organization}
}
Document
Short Paper
Agent-Based Modelling and Disease: Demonstrating the Role of Human Remains in Epidemic Outbreaks (Short Paper)

Authors: Huixin Liu and Sarah Wise

Published in: LIPIcs, Volume 277, 12th International Conference on Geographic Information Science (GIScience 2023)


Abstract
Hemorrhagic fever viruses present a high risk to humans, given their associated high fatality rates, extensive care requirements, and few relevant vaccines. One of the most famous such viruses is the Ebola virus, which first came to international attention during an outbreak in 1976. Another is Marburg virus, cases of which are being reported in Equatorial Guinea at the time of writing. Researchers and governments all over the world share a goal in seeking effective ways to reduce or prevent the influence or spreading of such diseases. This study introduces a prototype agent-based model to explore the epidemic infectious progression of a simulated fever virus. More specifically, this work seeks to recreate the role of human remains in the progression of such an epidemic, and to help gauge the influence of different environmental conditions on this dynamic.

Cite as

Huixin Liu and Sarah Wise. Agent-Based Modelling and Disease: Demonstrating the Role of Human Remains in Epidemic Outbreaks (Short Paper). In 12th International Conference on Geographic Information Science (GIScience 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 277, pp. 48:1-48:7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)


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@InProceedings{liu_et_al:LIPIcs.GIScience.2023.48,
  author =	{Liu, Huixin and Wise, Sarah},
  title =	{{Agent-Based Modelling and Disease: Demonstrating the Role of Human Remains in Epidemic Outbreaks}},
  booktitle =	{12th International Conference on Geographic Information Science (GIScience 2023)},
  pages =	{48:1--48:7},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-288-4},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{277},
  editor =	{Beecham, Roger and Long, Jed A. and Smith, Dianna and Zhao, Qunshan and Wise, Sarah},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2023.48},
  URN =		{urn:nbn:de:0030-drops-189435},
  doi =		{10.4230/LIPIcs.GIScience.2023.48},
  annote =	{Keywords: Disease modelling, agent-based model, hemorrhagic fever virus, epidemiology, safe burial practices}
}
Document
Short Paper
Calibration in a Data Sparse Environment: How Many Cases Did We Miss? (Short Paper)

Authors: Robert Manning Smith, Sarah Wise, and Sophie Ayling

Published in: LIPIcs, Volume 277, 12th International Conference on Geographic Information Science (GIScience 2023)


Abstract
Reported case numbers in the COVID-19 pandemic are assumed in many countries to have underestimated the true prevalence of the disease. Deficits in reporting may have been particularly great in countries with limited testing capability and restrictive testing policies. Simultaneously, some models have been accused of over-reporting the scale of the pandemic. At a time when modeling consortia around the world are turning to the lessons learnt from pandemic modelling, we present an example of simulating testing as well as the spread of disease. In particular, we factor in the amount and nature of testing that was carried out in the first wave of the COVID-19 pandemic (March - September 2020), calibrating our spatial Agent Based Model (ABM) model to the reported case numbers in Zimbabwe.

Cite as

Robert Manning Smith, Sarah Wise, and Sophie Ayling. Calibration in a Data Sparse Environment: How Many Cases Did We Miss? (Short Paper). In 12th International Conference on Geographic Information Science (GIScience 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 277, pp. 50:1-50:7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)


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@InProceedings{manningsmith_et_al:LIPIcs.GIScience.2023.50,
  author =	{Manning Smith, Robert and Wise, Sarah and Ayling, Sophie},
  title =	{{Calibration in a Data Sparse Environment: How Many Cases Did We Miss?}},
  booktitle =	{12th International Conference on Geographic Information Science (GIScience 2023)},
  pages =	{50:1--50:7},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-288-4},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{277},
  editor =	{Beecham, Roger and Long, Jed A. and Smith, Dianna and Zhao, Qunshan and Wise, Sarah},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2023.50},
  URN =		{urn:nbn:de:0030-drops-189452},
  doi =		{10.4230/LIPIcs.GIScience.2023.50},
  annote =	{Keywords: Agent Based Modelling, Infectious Disease Modelling, COVID-19, Zimbabwe, SARS-CoV-2, calibration}
}
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