Abstract

We study the basic reproduction number (R0) in an epidemic model where infected individuals are initially asymptomatic and structured by the time since infection. At the beginning of an epidemic outbreak the computation of R0 relies on limited data based mostly on symptomatic cases, since asymptomatic infected individuals are not detected by the surveillance system. R0 has been widely used as an indicator to assess the dissemination of infectious diseases. Asymptomatic individuals are assumed to either become symptomatic after a fixed period of time or they are removed (recovery or disease-related death). We determine R0 understood as the expected secondary symptomatic cases produced by a symptomatic primary case through a chain of asymptomatic infections. R0 is computed directly by interpreting the model ingredients and also using a more systematic approach based on the next-generation operator. Reported Covid-19 cases data during the first wave of the pandemic in Spain are used to fit the model and obtain both values of R0 before and after the severe lockdown imposed in March 2020. The results confirm that SARS-CoV-2 was expanding within the population before the lockdown whereas the virus spreading was controlled two weeks after the lockdown. In memoriam Carles Perelló, emeritus professor at UAB, recently deceased and scientific father/grandfather of the authors.

Highlights

  • Emergence of infectious diseases is a problem that humans are doomed to face over and over

  • Beyond the particularities of each new pathogen, the dynamics of epidemics depend on similar processes

  • The underlying variables that determine the dynamics of a population are not directly measurable due to technical limitations

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Summary

Introduction

Emergence of infectious diseases is a problem that humans are doomed to face over and over. The expansion of an epidemics is usually monitored by means of two indicators: the exponential growth rate of the disease and the basic reproduction number, denoted by R0. The former corresponds to the change in the. The two indicators seem to be equivalent in regard to the analysis of the epidemic, the mechanistic interpretation of R0 and its, often, explicit dependence on relevant parameters of the model, makes it especially well suited to design and evaluate social measures intended to control and eradicate the epidemics [9] As it has been discussed elsewhere different reproduction numbers can be defined depending on what is understood as a birth event, which in an epidemiological context could correspond to a new infection or, alternatively, to a new reported case [5, 9].

Exponential growth
Basic reproduction number
Next-generation operator
Simplifications and Covid-19
Discussion
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