4.3 Article

EBOLA MODEL AND OPTIMAL CONTROL WITH VACCINATION CONSTRAINTS

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出版社

AMER INST MATHEMATICAL SCIENCES-AIMS
DOI: 10.3934/jimo.2017054

关键词

Ebola virus; mathematical modelling; transmission of Ebola; control of the spread of the Ebola disease; optimal control with vaccination constraints; vaccination scenarios

资金

  1. Ministerio de Economia y Competitividad of Spain [MTM2012-38794-C02-01, MTM2016-75140-P]
  2. European Community fund FEDER
  3. AIMS-Cameroon fellowship
  4. Ministerio de Economa y Competitividad of Spain [MTM2016-75140-P, MTM2010-15314, MTM2013-43014-P]
  5. Xunta de Galicia [R2014/002, GRC 2015/004]
  6. Portuguese Foundation for Science and Technology (FCT) [SFRH/BPD/72061/2010]
  7. FCT through CIDMA [UID/MAT/04106/2013]
  8. project TOCCATA - Project 3599 - Promover a Producao Cientfica e Desenvolvimento Tecnologico e a Constituicao de Redes Tematicas (3599-PPCDT) [PTDC/EEI-AUT/2933/2014]
  9. FEDER funds through COMPETE 2020, Programa Operacional Competitividade e Internacionalizacao (POCI)
  10. FCT

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The Ebola virus disease is a severe viral haemorrhagic fever syndrome caused by Ebola virus. This disease is transmitted by direct contact with the body fluids of an infected person and objects contaminated with virus or infected animals, with a death rate close to 90% in humans. Recently, some mathematical models have been presented to analyse the spread of the 2014 Ebola outbreak in West Africa. In this paper, we introduce vaccination of the susceptible population with the aim of controlling the spread of the disease and analyse two optimal control problems related with the transmission of Ebola disease with vaccination. Firstly, we consider the case where the total number of available vaccines in a fixed period of time is limited. Secondly, we analyse the situation where there is a limited supply of vaccines at each instant of time for a fixed interval of time. The optimal control problems have been solved analytically. Finally, we have performed a number of numerical simulations in order to compare the models with vaccination and the model without vaccination, which has recently been shown to fit the real data. Three vaccination scenarios have been considered for our numerical simulations, namely: unlimited supply of vaccines; limited total number of vaccines; and limited supply of vaccines at each instant of time.

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