A tuberculosis elimination‐focused geospatial approach to optimising access to diagnostic <scp>GeneXpert</scp> machines in <scp>Fiji</scp>-Reference-Cited by-同舟云学术

A tuberculosis elimination‐focused geospatial approach to optimising access to diagnostic GeneXpert machines in Fiji

Published:2024-06-04 Issue:8 Volume:29 Page:715-722
ISSN:1360-2276
Container-title:Tropical Medicine & International Health
language:en
Short-container-title:Tropical Med Int Health

Author:

Bates George¹,Hill Philip C.¹²^ORCID,Koroituku Isireli²,Wilson Donald²³,Reddy Mun⁴,Kama Mike⁴

Affiliation:

1. Centre for International Health, Division of Health Sciences University of Otago Dunedin New Zealand

2. Communicable Diseases Research Centre, Fiji Institute of Pacific Health Research, College of Medicine, Nursing & Health Sciences Fiji National University Suva Fiji

3. Fiji Institute of Pacific Health Research, College of Medicine, Nursing & Health Sciences Fiji National University Suva Fiji

4. National Tuberculosis Control Program Ministry of Health Suva Fiji

Abstract

AbstractObjectivesFiji could be the first country to eliminate tuberculosis. To inform this strategy, we aimed to identify how many GeneXpert® machines are required to enable over 90% of Fijians to be within one‐hour easy access.MethodsWe used Geographic Information System (Quantum GIS; QGIS), OpenStreetMap and population data (Kontur) to map possible facilities in relation to QGIS generated 60‐min drive‐time isochrones, with correction for missing road data. For outer islands, we calculated a distance to nearest hub operation.ResultsThe solution comprised 24 GeneXpert® machines, allocating 7 GeneXpert® to Viti Levu, 6 GeneXpert® to Vanua Levu and 11 to other islands. This resulted in 827,810 people, 93.6% of Fiji's population, being within 1 h of a machine. Twenty‐one thousand four hundred seventy‐nine people on outer islands were an average of 43 km by water from the nearest facility.ConclusionsWe conclude that over 90% of Fijians could be within an hour of a GeneXpert® machine with placement of 24 machines.

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/tmi.14023

Reference20 articles.

1. World Health Organisation.Tuberculosis profile: Fiji. [Internet].2021[cited 2023 Feb 18]. Available from:https://worldhealthorg.shinyapps.io/tb_profiles/?_inputs_&entity_type=%22country%22&lan=%22EN%22&iso2=%22FJ%22

2. OpenStreetMap Foundation.OpenStreetMap.2022[cited 2023 Feb 18]. Available from:https://www.openstreetmap.org/

3. QGIS.QGIS: A Free and Open Source Geographic Information System.2023[cited 2023 Feb 18]. Available from:https://www.qgis.org/en/site/

4. Kontur.Kontur Population dataset.2023[cited 2023 Feb 18]. Available from:https://www.kontur.io/portfolio/population-dataset/

5. Fiji Bureau of Statistics.Fiji Bureau of Statistics Releases 2017 Census Results.2018[cited 2023 Feb 18]. Available from:https://www.fiji.gov.fj/Media-Centre/News/Fiji-Bureau-of-Statistics-Releases-2017-Census-Res