London
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MethodologyEstimated PLHIV: Based on the MPES methodology1 which estimates the total number of people living with HIV in London and 95% credible intervals around this estimate2.
PLHIV diagnosed: Based on the MPES methodology1 which estimates the number of people living with diagnosed HIV in London.
PLHIV on ART: Proportion of diagnosed PLHIV in London on ART multiplied by the number of PLHIV diagnosed.
PLHIV virally suppressed: Proportion of PLHIV on ART in London whose most recent VL test in 2016 was less than 200 copies/mL multiplied by the number of PLHIV on ART.
1 A Gouber et al. Bayesian multi-parameter synthesis of HIV surveillance data in England and Wales, 2001. Technical Report. J. Roy. Statist. Soc. A, 171 (2006): 541-580.
2 95% credible intervals describe the statistical uncertainty surrounding estimates of PLHIV from a Bayesian analysis, which correctly and formally propagates the uncertainty inherent in the data through to the final estimates.
Hover your mouse on bar for detailed data.
Hover your mouse on bar for detailed data.
MethodologyEstimated PLHIV: Based on the MPES methodology1 which estimates the total number of people living with HIV in London and 95% credible intervals around this estimate2.
PLHIV diagnosed: Based on the MPES methodology1 which estimates the number of people living with diagnosed HIV in London.
PLHIV on ART: Proportion of diagnosed PLHIV in London on ART multiplied by the number of PLHIV diagnosed.
PLHIV virally suppressed: Proportion of PLHIV on ART in London whose most recent VL test in 2016 was less than 200 copies/mL multiplied by the number of PLHIV on ART.
1 A Gouber et al. Bayesian multi-parameter synthesis of HIV surveillance data in England and Wales, 2001. Technical Report. J. Roy. Statist. Soc. A, 171 (2006): 541-580.
2 95% credible intervals describe the statistical uncertainty surrounding estimates of PLHIV from a Bayesian analysis, which correctly and formally propagates the uncertainty inherent in the data through to the final estimates.
Hover your mouse on bar for detailed data.
Hover your mouse on bar for detailed data.
MethodologyEstimated PLHIV: Based on the MPES methodology1 which estimates the total number of people living with HIV in London and 95% credible intervals around this estimate2.
PLHIV diagnosed: Based on the MPES methodology1 which estimates the number of people living with diagnosed HIV in London.
PLHIV on ART: Proportion of diagnosed PLHIV in London on ART multiplied by the number of PLHIV diagnosed.
PLHIV virally suppressed: Proportion of PLHIV on ART in London whose most recent VL test in 2016 was less than 200 copies/mL multiplied by the number of PLHIV on ART.
1 A Gouber et al. Bayesian multi-parameter synthesis of HIV surveillance data in England and Wales, 2001. Technical Report. J. Roy. Statist. Soc. A, 171 (2006): 541-580.
2 95% credible intervals describe the statistical uncertainty surrounding estimates of PLHIV from a Bayesian analysis, which correctly and formally propagates the uncertainty inherent in the data through to the final estimates.
Note: The Continuum of Care measures are derived from observed data and percentages may differ slightly to those obtained using rounded figures.
Hover your mouse on bar for detailed data.
MethodologyEstimated PLHIV: Based on the MPES methodology1 which estimates the total number of people living with HIV in London and 95% credible intervals around this estimate2.
PLHIV diagnosed: Based on the MPES methodology1 which estimates the number of people living with diagnosed HIV in London.
PLHIV on ART: Proportion of diagnosed PLHIV in London on ART multiplied by the number of PLHIV diagnosed.
PLHIV virally suppressed: Proportion of PLHIV on ART in London whose most recent VL test in 2016 was less than 200 copies/mL multiplied by the number of PLHIV on ART.
1 A Gouber et al. Bayesian multi-parameter synthesis of HIV surveillance data in England and Wales, 2001. Technical Report. J. Roy. Statist. Soc. A, 171 (2006): 541-580.
2 95% credible intervals describe the statistical uncertainty surrounding estimates of PLHIV from a Bayesian analysis, which correctly and formally propagates the uncertainty inherent in the data through to the final estimates.