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Mathematical Models for COVID-19 Pandemic: A Comparative Analysis.
Adiga, Aniruddha; Dubhashi, Devdatt; Lewis, Bryan; Marathe, Madhav; Venkatramanan, Srinivasan; Vullikanti, Anil.
  • Adiga A; Biocomplexity Institute and Initiative, University of Virginia, Charlottesville, USA.
  • Dubhashi D; Department of Computer Science and Engineering, Chalmers University, Gothenburg, Sweden.
  • Lewis B; Biocomplexity Institute and Initiative, University of Virginia, Charlottesville, USA.
  • Marathe M; Biocomplexity Institute and Initiative, University of Virginia, Charlottesville, USA.
  • Venkatramanan S; Department of Computer Science, University of Virginia, Charlottesville, USA.
  • Vullikanti A; Biocomplexity Institute and Initiative, University of Virginia, Charlottesville, USA.
J Indian Inst Sci ; 100(4): 793-807, 2020.
Article in English | MEDLINE | ID: covidwho-1235806
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ABSTRACT
COVID-19 pandemic represents an unprecedented global health crisis in the last 100 years. Its economic, social and health impact continues to grow and is likely to end up as one of the worst global disasters since the 1918 pandemic and the World Wars. Mathematical models have played an important role in the ongoing crisis; they have been used to inform public policies and have been instrumental in many of the social distancing measures that were instituted worldwide. In this article, we review some of the important mathematical models used to support the ongoing planning and response efforts. These models differ in their use, their mathematical form and their scope.

Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: J Indian Inst Sci Year: 2020 Document Type: Article Affiliation country: S41745-020-00200-6

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: J Indian Inst Sci Year: 2020 Document Type: Article Affiliation country: S41745-020-00200-6