Evaluation of epidemiological scenarios of the COVID19 disease using an original model using membrane computing

  • Funded by National Institute of Health Carlos III [El Instituto de Salud Carlos III] (ISCIII)
  • Total publications:0 publications

Grant number: COV20_00067

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Key facts

  • Disease

    COVID-19
  • Funder

    National Institute of Health Carlos III [El Instituto de Salud Carlos III] (ISCIII)
  • Principal Investigator

    Fernando Baquero
  • Research Location

    Spain
  • Lead Research Institution

    VHIR-HUVH (INSTITUTO DE INVESTIGACION HOSPITAL UNIVERSITARI VALL D'HEBRON)
  • Research Priority Alignment

    N/A
  • Research Category

    Epidemiological studies

  • Research Subcategory

    Impact/ effectiveness of control measures

  • Special Interest Tags

    N/A

  • Study Type

    Clinical

  • Clinical Trial Details

    Not applicable

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

The aim is to apply our already recognized knowledge in the establishment of computational models based on new membrane computing techniques in order to develop a multiparametric and multi-hierarchical model for predicting the effect of interventions in the Co Vid 19 epidemic. The model allows enter ranges of values at multiple levels (for example, ages, contact rates, contact times, transmission rates, protective transmission measures, effects of possible therapeutic and vaccine agents - see below for other possible changes) and observe how the Modification of each of the factors or of several of them simultaneously influences the epidemiological trend of the disease. The purpose is to help decision-making for the establishment of on-demand interventions for specific scenarios.