Geographical variations and factors associated with recent HIV testing prevalence in Ghana: spatial mapping and complex survey analyses of the 2014 demographic and health surveys.
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ABSTRACT: Objective
To examine the factors associated with recent HIV testing and to develop an HIV testing prevalence surface map using spatial interpolation techniques to identify geographical areas with low and high HIV testing rates in Ghana.Design
Secondary analysis of Demographic and Health Survey.Setting
Rural and urban Ghana PARTICIPANTS: The study sample comprised 9380 women and 3854 men of 15-49 years.Results
We found that 13% of women and 6% of men of Ghana had tested for HIV in the past 12 months. For women, being within the age groups of 15-39 years, being currently married, attainment of post-secondary education, having only one sexual partner and dwelling in certain regions with reference to greater Accra (Volta, Eastern, Upper West and Upper East) were associated with a higher likelihood of HIV testing. For men, being older than 19 years, attainment of post-secondary education and dwelling in the Upper East region with reference to the greater Accra region were significantly associated with a higher likelihood of HIV testing. The surface map further revealed intra-regional level differences in HIV testing estimates.Conclusion
Given the results, HIV testing must be expanded with equitable testing resource allocation that target areas within the regions in Ghana with low HIV testing prevalence. Men should be encouraged to be tested for HIV.
SUBMITTER: Nutor JJ
PROVIDER: S-EPMC8273465 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundParticipation in bowel cancer screening programs remains poor in many countries. Knowledge of geographical variation in participation rates may help design targeted interventions to improve uptake. This study describes small-area and broad geographical patterns in bowel screening participation in Australia between 2015-2020.MethodsPublicly available population-level participation data for Australia's National Bowel Cancer Screening Program (NBCSP) were modelled using generalized linear models to quantify screening patterns by remoteness and area-level disadvantage. Bayesian spatial models were used to obtain smoothed estimates of participation across 2,247 small areas during 2019-2020 compared to the national average, and during 2015-2016 and 2017-2018 for comparison. Spatial heterogeneity was assessed using the maximized excess events test.ResultsOverall, screening participation rates was around 44% over the three time-periods. Participation was consistently lower in remote or disadvantaged areas, although heterogeneity was evident within these broad categories. There was strong evidence of spatial differences in participation over all three periods, with little change in patterns between time periods. If the spatial variation was reduced (so low participation areas were increased to the 80th centile), an extra 250,000 screens (4% of total) would have been conducted during 2019-2020.ConclusionsDespite having a well-structured evidence-based government funded national bowel cancer screening program, the substantial spatial variation in participation rates highlights the importance of accounting for the unique characteristics of specific geographical regions and their inhabitants. Identifying the reasons for geographical disparities could inform interventions to achieve more equitable access and a higher overall bowel screening uptake.
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Project description:Whole genome sequencing (WGS) is progressively being used to investigate the transmission dynamics of Mycobacterium tuberculosis complex (MTBC). We used WGS analysis to resolve traditional genotype clusters and explored the spatial distribution of confirmed recent transmission clusters. Bacterial genomes from a total of 452 MTBC isolates belonging to large traditional clusters from a population-based study spanning July 2012 and December 2015 were obtained through short read next-generation sequencing using the illumina HiSeq2500 platform. We performed clustering and spatial analysis using specified R packages and ArcGIS. Of the 452 traditional genotype clustered genomes, 314 (69.5%) were confirmed clusters with a median cluster size of 7.5 genomes and an interquartile range of 4-12. Recent tuberculosis (TB) transmission was estimated as 24.7%. We confirmed the wide spread of a Cameroon sub-lineage clone with a cluster size of 78 genomes predominantly from the Ablekuma sub-district of Accra metropolis. More importantly, we identified a recent transmission cluster associated with isoniazid resistance belonging to the Ghana sub-lineage of lineage 4. WGS was useful in detecting unsuspected outbreaks; hence, we recommend its use not only as a research tool but as a surveillance tool to aid in providing the necessary guided steps to track, monitor, and control TB.
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