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Integrating Molecular Diagnostics and GIS Mapping: A Multidisciplinary Approach to Understanding Tuberculosis Disease Dynamics in South Africa Using Xpert MTB/RIF.


ABSTRACT: An investigation was carried out to examine the use of national Xpert MTB/RIF data (2013-2017) and GIS technology for MTB/RIF surveillance in South Africa. The aim was to exhibit the potential of using molecular diagnostics for TB surveillance across the country. The variables analysed include Mycobacterium tuberculosis (Mtb) positivity, the mycobacterial proportion of rifampicin-resistant Mtb (RIF), and probe frequency. The summary statistics of these variables were generated and aggregated at the facility and municipal level. The spatial distribution patterns of the indicators across municipalities were determined using the Moran's I and Getis Ord (Gi) statistics. A case-control study was conducted to investigate factors associated with a high mycobacterial load. Logistic regression was used to analyse this study's results. There was striking spatial heterogeneity in the distribution of Mtb and RIF across South Africa. The median patient age, urban setting classification, and number of health care workers were found to be associated with the mycobacterial load. This study illustrates the potential of using data generated from molecular diagnostics in combination with GIS technology for Mtb surveillance in South Africa. Spatially targeted interventions can be implemented in areas where high-burden Mtb persists.

SUBMITTER: Scott LE 

PROVIDER: S-EPMC10606157 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature

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Integrating Molecular Diagnostics and GIS Mapping: A Multidisciplinary Approach to Understanding Tuberculosis Disease Dynamics in South Africa Using Xpert MTB/RIF.

Scott Lesley Erica LE   Shapiro Anne Nicole AN   Da Silva Manuel Pedro MP   Tsoka Jonathan J   Jacobson Karen Rita KR   Emch Michael M   Moultrie Harry H   Jenkins Helen Elizabeth HE   Moore David D   Van Rie Annelies A   Stevens Wendy Susan WS  

Diagnostics (Basel, Switzerland) 20231010 20


An investigation was carried out to examine the use of national Xpert MTB/RIF data (2013-2017) and GIS technology for MTB/RIF surveillance in South Africa. The aim was to exhibit the potential of using molecular diagnostics for TB surveillance across the country. The variables analysed include <i>Mycobacterium tuberculosis</i> (<i>Mtb</i>) positivity, the mycobacterial proportion of rifampicin-resistant <i>Mtb</i> (RIF), and probe frequency. The summary statistics of these variables were generat  ...[more]

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