Mathematical modelling and analysis of the spread of the virus in Hungary

  • Funded by Ministry for Innovation and Technology (Hungary)
  • Total publications:1000 publications

Grant number: N/A

Grant search

Key facts

  • Disease

    COVID-19
  • start year

    -99
  • Known Financial Commitments (USD)

    $0
  • Funder

    Ministry for Innovation and Technology (Hungary)
  • Principal Investigator

    N/A

  • Research Location

    Hungary
  • Lead Research Institution

    University of Szeged
  • Research Priority Alignment

    N/A
  • Research Category

    Epidemiological studies

  • Research Subcategory

    Disease transmission dynamics

  • Special Interest Tags

    N/A

  • Study Type

    Unspecified

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

The goal of the research that is ongoing at the University of Szeged is the mathematical modelling and analysis of the spread of the virus in Hungary, and the preparation of a prognosis. In the interests of slowing the spread of the virus and reducing pressure on the healthcare system, the research is supporting decision-making based on proof and calculations. In the interests of precisely modelling the spread of the infection, experts are collecting data on relationship and travel habits before and after the virus outbreak. Anyone can help the research by filling out an online questionnaire in just a few minutes, and over 150 thousand people filled in the form in the first week alone.

Publicationslinked via Europe PMC

The Skills to Manage Pain Randomized Trial: Results of Antiretroviral Therapy Adherence, HIV Primary Care Retention, and Virologic Suppression Outcomes.

A reanalysis of population dynamics in the Casas Grandes region of Northern Mexico using mitochondrial DNA.

Action painting under spectroscopic light: Excited-state exchange interactions behind the vibrant blue in Jackson Pollock's <i>Number 1A, 1948</i>.

Improving the efficacy of anti-SSEA4 antibody in pancreatic cancer immunotherapy with glyco-optimization and immune checkpoint blockade.

Clenbuterol induces lean mass and muscle protein accretion, but attenuates cardiorespiratory fitness and desensitizes muscle β<sub>2</sub>-adrenergic signalling.

Posttranscriptional control of the B cell receptor by HuR is essential for innate B cell maintenance and function.

Five-year results of the SCENT trial with Surpass flow diverters to treat large or giant wide-neck aneurysms.

Peritumoral macrophages recruit eosinophils to promote antitumor immune responses in breast cancer.

Intention judgments are not a reliable measure of intuitive preferences.