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Spatial analysis of HIV-TB co-clustering in Uganda.

Spatial analysis of HIV-TB co-clustering in Uganda.

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dc.contributor.author Augustus Aturinde
dc.contributor.author Farnaghi
dc.contributor.author Petter Pilesjö
dc.contributor.author Ali Mansourian
dc.date.accessioned 2021-01-10T11:55:41Z
dc.date.available 2021-01-10T11:55:41Z
dc.date.issued 2019
dc.identifier.issn 14712334
dc.identifier.uri https://combine.alvar.ug/handle/1/49096
dc.description.abstract Tuberculosis (TB) is the leading cause of death for individuals infected with Human immunodeficiency virus (HIV). Conversely, HIV is the most important risk factor in the progression of TB from the latent to the active status. In order to manage this double epidemic situation, an integrated approach that includes HIV management in TB patients was proposed by the World Health Organization and was implemented in Uganda (one of the countries endemic with both diseases). To enable targeted intervention using the integrated approach, areas with high disease prevalence rates for TB and HIV need to be identified first. However, there is no such study in Uganda, addressing the joint spatial patterns of these two diseases. This study uses global Moran’s index, spatial scan statistics and bivariate global and local Moran’s indices to investigate the geographical clustering patterns of both diseases, as individuals and as combined. The data used are TB and HIV case data for 2015, 2016 and 2017 obtained from the District Health Information Software 2 system, housed and maintained by the Ministry of Health, Uganda. Results from this analysis show that while TB and HIV diseases are highly correlated (55–76%), they exhibit relatively different spatial clustering patterns across Uganda. The joint TB/HIV prevalence shows consistent hotspot clusters around districts surrounding Lake Victoria as well as northern Uganda. These two clusters could be linked to the presence of high HIV prevalence among the fishing communities of Lake Victoria and the presence of refugees and internally displaced people camps, respectively. The consistent cold spot observed in eastern Uganda and around Kasese could be explained by low HIV prevalence in communities with circumcision tradition. This study makes a significant contribution to TB/HIV public health bodies around Uganda by identifying areas with high joint disease burden, in the light of TB/HIV co-infection. It, thus, provides a valuable starting point for an informed and targeted intervention, as a positive step towards a TB and HIV-AIDS free community.
dc.description.sponsorship Styrelsen för Internationellt Utvecklingssamarbete (2015-003424)
dc.publisher BioMed Central
dc.relation.ispartof BMC infectious diseases
dc.subject Bivariate Moran’s I
dc.subject HIV
dc.subject Moran’s I
dc.subject Spatial co-clustering
dc.subject Spatial scan statistics
dc.subject TB
dc.subject TB/HIV co-infection
dc.subject Uganda
dc.subject.mesh Cluster Analysis
dc.subject.mesh Coinfection/diagnosis
dc.subject.mesh HIV Infections/diagnosis
dc.subject.mesh Humans
dc.subject.mesh Prevalence
dc.subject.mesh Risk Factors
dc.subject.mesh Spatial Analysis
dc.subject.mesh Tuberculosis/diagnosis
dc.subject.mesh Uganda/epidemiology
dc.title Spatial analysis of HIV-TB co-clustering in Uganda.
dc.type journal article
dc.identifier.doi 10.1186/s12879-019-4246-2
dc.identifier.pmid 31299907
dc.identifier.mag 2958022795
dc.identifier.pmc PMC6625059
dc.identifier.lens 040-409-187-652-417
dc.identifier.volume 19
dc.identifier.issue 1
dc.identifier.spage 612
dc.identifier.epage 612
dc.subject.lens-fields Moran's I
dc.subject.lens-fields Public health
dc.subject.lens-fields Internally displaced person
dc.subject.lens-fields Prevalence
dc.subject.lens-fields Medical microbiology
dc.subject.lens-fields Geography
dc.subject.lens-fields Tuberculosis
dc.subject.lens-fields Risk factor
dc.subject.lens-fields Infectious disease (medical specialty)
dc.subject.lens-fields Environmental health


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