99 research outputs found
The various clusters that were identified in the PhyloType analyses of the <i>gag</i> p24 and <i>pol</i> Bayesian tree topologies.
<p>ZA β South Africa, SE β Senegal, BW β Botswana, BR β Brazil, CPT β Cape Town, IL β Israel, IN β India, KE β Kenya.</p><p>The various clusters that were identified in the PhyloType analyses of the <i>gag</i> p24 and <i>pol</i> Bayesian tree topologies.</p
RT-<i>pol</i> transmission clusters of Capetonian sequences.
<p>On the right hand side are the two individual <i>pol</i> clusters with their estimated time of origin. On the left hand side is a big Bayesian time resolved phylogenetic tree with 166 RT-<i>pol</i> Capetonian sequences with the two monophyletic clades that were identified in the PhyloType analysis.</p
PhyloType schematic of the various clusters found in the analyses of the Bayesian <i>pol</i> tree topology.
<p>The Bayesian tree topology contains 1477 sequences and was constructed in MrBayes with the use of the GTR + Gamma model of nucleotide substitution. The two Capetonian clusters that were identified are presented on the right hand side of the tree while all of the clusters that were identified through the analyses are presented on the left hand side.</p
Estimated dates of origin for each of the identified clusters.
<p>Estimates marked in bold correspond to the estimates from the βbest fittingβ model as was determined through Bayes Factor calculation following 1000 replicates.</p><p>Relax β Relax molecular clock; Strict β Strict molecular clock; ESS β Effective Sample Size; HPD β Highest Posterior Density; BSP β Bayesian Skyline Plot tree prior; Const β Constant population size tree prior; Expo β Exponential growth tree prior; est β estimated mutation rate; fix β fixed mutation rate.</p><p>Estimated dates of origin for each of the identified clusters.</p
PhyloType schematic of the various clusters found in the analyses of the Bayesian <i>gag</i> p24 tree topology.
<p>The Bayesian tree topology contains 628 sequences and was constructed in MrBayes with the use of the GTR + Gamma model of nucleotide substitution. The two Capetonian clusters that were identified are presented on the right hand side of the tree while all of the clusters that were identified through the analyses are presented on the left hand side.</p
Available patient information about each of the patients within the identified clusters.
<p>Hetero β Heterosexual; SA β South African National; MSM β Men who have sex with men; ND β No data available; Both β indicating that both <i>gag</i> p24 and RT-<i>pol</i> sequences were available for this patient.</p><p>Available patient information about each of the patients within the identified clusters.</p
Pain: Ubuhlungu.mov
<p>This video narrative was
created in November 2013 in a digital storytelling workshop in an
under-resourced, rural community of high HIV prevalence of South Africa. The
aim of this study is to employ community stories to explore community
perceptions of HIV, ART adherence and adherence to other chronic medications in
this setting. The workshop was facilitated by professional facilitator Pam
Sykes and hosted by Africa Centre for Population Health.</p
Accepting your status: Ukwamukela isimo.mov
<p>This video narrative was
created in November 2013 in a digital storytelling workshop in an
under-resourced, rural community of high HIV prevalence of South Africa. The
aim of this study is to employ community stories to explore community
perceptions of HIV, ART adherence and adherence to other chronic medications in
this setting. The workshop was facilitated by professional facilitator Pam
Sykes and hosted by Africa Centre for Population Health.</p
Being uninformed: Ukungafundiseki.mov
<p>This video narrative was
created in November 2013 in a digital storytelling workshop in an
under-resourced, rural community of high HIV prevalence of South Africa. The
aim of this study is to employ community stories to explore community
perceptions of HIV, ART adherence and adherence to other chronic medications in
this setting. The workshop was facilitated by professional facilitator Pam
Sykes and hosted by Africa Centre for Population Health.</p
Danger: Ubungozi.mov
<p>This video narrative was
created in November 2013 in a digital storytelling workshop in an
under-resourced, rural community of high HIV prevalence of South Africa. The
aim of this study is to employ community stories to explore community
perceptions of HIV, ART adherence and adherence to other chronic medications in
this setting. The workshop was facilitated by professional facilitator Pam
Sykes and hosted by Africa Centre for Population Health.</p
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