Mathematical models describing the COVID-19 pandemic

  • Funded by Fundação de Amparo à Pesquisa do Estado de São Paulo [São Paulo Research Foundation] (FAPESP)
  • Total publications:0 publications

Grant number: 20/14357-1

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2021
    2023
  • Funder

    Fundação de Amparo à Pesquisa do Estado de São Paulo [São Paulo Research Foundation] (FAPESP)
  • Principal Investigator

    N/A

  • Research Location

    Brazil
  • Lead Research Institution

    Instituto de Ciência e Tecnologia (ICT). Universidade Federal de São Paulo (UNIFESP). Campus São José dos Campos. São José dos Campos
  • Research Priority Alignment

    N/A
  • Research Category

    Epidemiological studies

  • Research Subcategory

    Disease transmission dynamics

  • Special Interest Tags

    Data Management and Data Sharing

  • Study Type

    Clinical

  • Clinical Trial Details

    Not applicable

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

The objective of this project is to propose new mathematical models to describe the COVID-19 pandemic, which will be valid for different regions of the world, at different territorial levels (countries, states, municipalities). An automatic methodology to calibrate the models, without requiring intervention from experts, will be proposed, such that the analysis could be performed even in regions with limited financial resources. New techniques for trend analysis will be developed, in order to provide relevant information to health authorities. Predictions will be performed concerning the future behavior of the pandemic, with special focus on the number of nursing beds and intensive care units (ICUs). The models to be proposed will be such that they may be generalized to other epidemics in the future. The analyses will use information from the websites of the European Center for Disease Prevention and Control (ECDC), Johns Hopkins University, São Paulo State Department of Health and Brasil.io Project. The results will be assessed through theoretical analyses, comparisons with similar results from the literature and, mainly, comparison between simulated and real results. Articles will be published in journals and conferences. At least two master's theses will be supervised.