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Linking Infectious disease Front-liners' control Efforts with central public health authorities in The African Great Lakes Region

Grant number: 101103059

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Key facts

  • Disease

    mpox
  • Start & end year

    2023
    2028
  • Known Financial Commitments (USD)

    $5,676,175
  • Funder

    European Commission
  • Principal Investigator

    . AARESTRUP Frank
  • Research Location

    N/A
  • Lead Research Institution

    DANMARKS TEKNISKE UNIVERSITET
  • Research Priority Alignment

    N/A
  • Research Category

    Pathogen: natural history, transmission and diagnostics

  • Research Subcategory

    Pathogen genomics, mutations and adaptations

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

  • Mpox Research Priorities

    N/A

  • Mpox Research Sub Priorities

    N/A

Abstract

The African Great Lakes region is one of the most densely populated areas in Africa and also one of the areas globally with the highest biodiversity, and forced or voluntary migrations. Very limited information is available on the prevalence and epidemiology of infectious diseases, especially gastrointestinal diseases and antimicrobial resistance that has been very understudied. Logistically it is difficult to sample and conventionally study infectious diseases in the area and such studies have limited real-time value locally. In this study we will take full advantage of the potential offered by combining field-deployable nanopore sequencing combined with metagenomics and lap-top bioinformatics, to establish frontline sequencing at remote sites and linking this with central sharing of analytic output. Newly developed bioinformatics solutions by us have made it possible to perform simple bioinformatics analyses in real-time using lap-tops and subsequently share the analytic output simply using the mobile net, avoiding the need of transferring large amounts of data and access to high-performance computing. In GREAT-LIFE we will establish sequencing across six countries in the region and use this to study the abundances of AMR in villages and refugee camps. Linking this with spatial and temporal epidemiological data will enable us to identify locally relevant drivers for AMR and provide data for changing empiric treatment and policies. In addition, we will utilize sequencing directly on GI samples to identify the causative agents (and their AMR) both to provide data for policies, but also to provide immediate results for direct patient care in the frontline. We will educate a number of people in the very frontline to utilize field-sequencing and bioinformatics, as well as more advanced bioinformaticians and epidemiologist centrally. The data generated will be linked in real-time through a central hub in Tanzania to public health authorities for actions.

4 Publications linked via Europe PMC

Comparative Genomic Diversity of Escherichia coli Strains Isolated from Western Kenya

Tanzanian goat gut microbiomes adapt to roadside pollutants and environmental stressors.

Assembly-free typing of Nanopore and Illumina data through proximity scoring with KMA.

Draft genomic sequences of Vibrio cholerae strains linked to the cholera outbreak in Kamituga, South Kivu, DRC.