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    Home / Central Data Catalog / TASP / AHRI.TASP.DATAEVERYWHERE.DASHBOARD.2016.V1
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Visualisation of sequence and demographic data to assist HIV surveillance in Northern KwaZulu-Natal: extending the TasP/iSense dashboard to include markers of HIV drug resistance mutations.

South Africa, 2012 - 2016
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Reference ID
AHRI.TasP.DataEveryWhere.Dashboard.2016.v1
Producer(s)
Frampton, Dan, McKendry, Rachel, Pillay, Deenan
Collections
TasP ANRS 12249
Metadata
Documentation in PDF DDI/XML JSON
Created on
May 27, 2019
Last modified
May 27, 2019
Page views
8423
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  • Study Description
  • Data Dictionary
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  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data collection
  • Data processing
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  • Identification

    Survey ID number

    AHRI.TasP.DataEveryWhere.Dashboard.2016.v1

    Title

    Visualisation of sequence and demographic data to assist HIV surveillance in Northern KwaZulu-Natal: extending the TasP/iSense dashboard to include markers of HIV drug resistance mutations.

    Country
    Name Country code
    South Africa ZA
    Abstract

    This proposal aims to extend an existing collaboration between AHRI and UCL. As part of the iSense project, teams from AHRI and UCL have successfully developed a dashboard that integrates information from mobile computers used for TasP field visits with data from the clinics to display spatial coverage of homestead visits, highlighting those that require follow-up visits to ensure linkage to care. The dashboard provides a broad snapshot of the state of the study, spatially aggregating geographical zones in order to preserve the privacy of trial participants.

    The aim of this proposal is to extend this framework to visualise presence and prevalence of drug resistance mutations (DRMs) within the study area. A higher prevalence of DRMs than expected may be linked to several factors, e.g. poor drug adherence, and thus of value to clinicians and healthcare workers in terms of focusing efforts and resource allocation.

    Kind of Data

    The existing dashboard is built on pseudonymised demographic data grouped into geographic hexagons. Within the PANGEA project, we have independently assembled HIV genomes from patient clinical samples and identified DRMs for each sample. To map the DRMs to each geographical hexagon, we require a lookup table to link the TasP/PANGEA IDs to hexagons.

    Unit of Analysis

    Each sample ID should be linked to a single hexagon where possible.

    Version

    Version Description

    V1.0.0

    Scope

    Topics
    Topic Vocabulary URI
    HIV-1; Incidence; Phylogeny; Epidemics; Population Surveillance; Rural Population; HIV Infections; Africa Africa Health Research Institute www.ahri.org
    Keywords
    Mapping, visualisation, data linkage, drug resistance, DRM, HIV-1

    Coverage

    Geographic Coverage

    South Africa

    Universe

    Clusters: the trial area consists of 150 local areas (neighbourhoods). These were aggregated into 34 clusters of between one
    and six contiguous neighbourhoods, each cluster comprising an average of 1 000 individuals >15 years of age. Clusters
    were designed to encompass social networks based on earlier studies. TasP phase 1 has been implemented in 10 geographic
    clusters (5 control and 5 intervention). Twelve additional clusters have been opened in June 2014.

    Locations: corresponds to physical locations. There are two types of locations: homesteads and TasP clinics.

    Homesteads: the population lives in scattered homesteads that are not concentrated into villages or compounds. All usable
    and occupied homesteads were eligible for trial participation.

    Households: each homestead coul be composed of one or several households. An household remains always attached to the
    same homestead.

    Eligible individuals : all 16 years or older and resident household members. Each individuals is attached to an household. In
    case of internal migration, an individual could move to another household.

    TasP clinics: dedicated trial clinics implemented in each survey cluster.

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Frampton, Dan Division of Infection and Immunity, UCL, London Division of Infection and Immunity, UCL, London UCL, London
    McKendry, Rachel London Center for Nanotechnology, UCL, London
    Pillay, Deenan Africa Health Research Institute
    Producers
    Name
    Africa Health Research Institute
    Funding Agency/Sponsor
    Name Role
    South African Medical Research Council Genotyping funding source
    Engineering and Physical Sciences Research Council Design and implementation of dashboard within the iSense project
    Other Identifications/Acknowledgments
    Name Affiliation Role
    Jaco Dreyer Africa Health Research Institute Linking sample and demographic data design
    Ed Manley UCL Centre for Advanced Spatial Analysis (CASA), London Implementation of iSense dashboard design
    Dave Concannon UCL Centre for Advanced Spatial Analysis (CASA), London Implementation of iSense dashboard

    Sampling

    Sampling Procedure

    HIV positive individuals within the TasP surveillance area of the Africa Health Research Insititute from 2012 to 2016.

    Data collection

    Dates of Data Collection
    Start End
    2012-01-01 2016-12-04

    Data processing

    Data Editing

    Samples were sequenced at the Durban based laboratory of AHRI; genome assembly and downstream sequence analysis was performed at UCL.

    Data Access

    Access conditions

    Data is available to researchers upon application and approval by AHRI data governance committee. Application for the data can be done online through the following link: https://data.africacentre.ac.za/index.php/auth/login

    Metadata production

    DDI Document ID

    DDI.AHRI.TasP.DataEveryWhere.Dashboard.2016.v1

    Producers
    Name
    Africa Health Research Institute
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