Ground reality versus model-based computation of basic reproductive numbers in epidemics

Arni S.R. Srinivasa Rao, Steven G. Krantz

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Computation of basic reproductive numbers is one of the primary goals of epidemic modelers. There are several challenges in such computations, especially when the data from the virus transmission networks are not so easy to collect; this makes model validation almost impossible. We provide a technical comment on the precautions to be taken while computing model-based basic reproductive numbers so that the ground realities of such computation are maintained. Basic reproductive numbers need to be adjusted retrospectively to compensate for reporting errors within the epidemic spread networks. Such an adjustment would lead to revised pandemic preparedness and mitigation plans.

Original languageEnglish (US)
Article number125004
JournalJournal of Mathematical Analysis and Applications
DOIs
StateAccepted/In press - 2021

Keywords

  • Data adjustment
  • Population network
  • SIR model

ASJC Scopus subject areas

  • Analysis
  • Applied Mathematics

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