On estimating the basic reproduction number in distinct stages of a contagious disease spreading
dc.contributor.author | Schimit P.H.T. | |
dc.contributor.author | Monteiro L.H.A. | |
dc.date.accessioned | 2024-03-13T01:07:34Z | |
dc.date.available | 2024-03-13T01:07:34Z | |
dc.date.issued | 2012 | |
dc.description.abstract | In epidemiology, the basic reproduction number R 0 is usually defined as the average number of new infections caused by a single infective individual introduced into a completely susceptible population. According to this definition, R 0 is related to the initial stage of the spreading of a contagious disease. However, from epidemiological models based on ordinary differential equations (ODE), R 0 is commonly derived from a linear stability analysis and interpreted as a bifurcation parameter: typically, when R 0>1, the contagious disease tends to persist in the population because the endemic stationary solution is asymptotically stable; when R 0<1, the corresponding pathogen tends to naturally disappear because the disease-free stationary solution is asymptotically stable. Here we intend to answer the following question: Do these two different approaches for calculating R 0 give the same numerical values? In other words, is the number of secondary infections caused by a unique sick individual equal to the threshold obtained from stability analysis of steady states of ODE? For finding the answer, we use a susceptible-infective-recovered (SIR) model described in terms of ODE and also in terms of a probabilistic cellular automaton (PCA), where each individual (corresponding to a cell of the PCA lattice) is connected to others by a random network favoring local contacts. The values of R 0 obtained from both approaches are compared, showing good agreement. © 2012 Elsevier B.V. | |
dc.description.firstpage | 156 | |
dc.description.lastpage | 160 | |
dc.description.volume | 240 | |
dc.identifier.doi | 10.1016/j.ecolmodel.2012.04.026 | |
dc.identifier.issn | 0304-3800 | |
dc.identifier.uri | https://dspace.mackenzie.br/handle/10899/36780 | |
dc.relation.ispartof | Ecological Modelling | |
dc.rights | Acesso Restrito | |
dc.subject.otherlanguage | Basic reproduction number | |
dc.subject.otherlanguage | Complex network | |
dc.subject.otherlanguage | Epidemiology | |
dc.subject.otherlanguage | Ordinary differential equations | |
dc.subject.otherlanguage | Probabilistic cellular automata | |
dc.title | On estimating the basic reproduction number in distinct stages of a contagious disease spreading | |
dc.type | Artigo | |
local.scopus.citations | 9 | |
local.scopus.eid | 2-s2.0-84862249855 | |
local.scopus.subject | Asymptotically stable | |
local.scopus.subject | Average numbers | |
local.scopus.subject | Basic reproduction number | |
local.scopus.subject | Bifurcation parameter | |
local.scopus.subject | Complex networks | |
local.scopus.subject | Contagious disease | |
local.scopus.subject | Epidemiological models | |
local.scopus.subject | Initial stages | |
local.scopus.subject | Numerical values | |
local.scopus.subject | Probabilistic cellular automatons | |
local.scopus.subject | Random network | |
local.scopus.subject | Stability analysis | |
local.scopus.subject | Stationary solutions | |
local.scopus.subject | Steady state | |
local.scopus.subject | Susceptible population | |
local.scopus.updated | 2024-05-01 | |
local.scopus.url | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84862249855&origin=inward |