@inproceedings{fdi:010087005,
  title = {{I}dentifying population-specific {HIV} diagnosis gaps in {W}estern {A}frica and assessing their impact on new infections : a modelling analysis for {C}{\^o}te d'{I}voire, {M}ali and {S}enegal [poster]},
  author = {{S}ilhol, {R}. and {M}aheu-{G}iroux, {M}. and {S}oni, {N}. and {S}imo {F}otso, {A}. and {R}ouveau, {N}icolas and {V}autier, {A}. and {D}oumenc-{A}{\¨ie}dara, {C}. and {G}eoffroy, {O}. and {N}'{G}uessan, {K}.{N}. and {M}ukandavire, {C}. and {V}ickerman, {P}. and {K}eita, {A}. and {N}dour, {C}.{T}. and {L}armarange, {J}oseph and {B}oily, {M}.{C}. and {A}tlas {T}eam},
  editor = {},
  language = {{ENG}},
  abstract = {{B}ackground : {P}rogress towards {HIV} elimination in {W}estern {A}frica may be hindered by diagnosis gaps among people living with {HIV} ({PLHIV}), especially among key populations ({KP}) such as female sex workers ({FSW}), their clients, and men who have sex with men ({MSM}). {W}e aimed to identify largest gaps in diagnosis by risk group in {M}ali, {C}{\^o}te d'{I}voire, and {S}enegal, and project their contribution to new {HIV} infections. {METHODS} : {D}eterministic models of {HIV} transmission/diagnosis/treatment that incorporate {HIV} transmission among {KP} were parameterized following comprehensive country-specific reviews of demographic, behavioural, {HIV} and intervention data. {T}he model was calibrated to country- and group-specific empirical outcomes such as {HIV} incidence/prevalence, the fractions of {PLHIV} ever tested, diagnosed, and on treatment. {W}e estimated the distribution of undiagnosed {PLHIV} by risk group in 2020 and the population-attributable-fractions (t{PAF}s) (i.e. fraction of new primary and secondary {HIV} infections 2020-2029 originating from risk groups of undiagnosed {PLHIV}). {R}esults : {F}rom 46% (95% {UI}: 38-58) to 69% (59-79) of undiagnosed {PLHIV} in 2020 were males, with the lowest proportion in {M}ali and the highest proportion in {S}enegal, where 41% (28-59) of undiagnosed {PLHIV} were {MSM}. {U}ndiagnosed men are estimated to contribute most new {HIV} infections occurring over 2020-2029 ({T}able). {U}ndiagnosed {FSW} and their clients contribute substantial proportions of new {HIV} infections in {M}ali, with t{PAF}=20% (10-36) and t{PAF}=43% (26-56), respectively, while undiagnosed {MSM} in {S}enegal are estimated to contribute half of new infections. {A} lower proportion of new {HIV} infections are transmitted by undiagnosed {KP} in {C}{\^o}te d'{I}voire (t{PAF}=21%(10-38)). {C}onclusions : {C}urrent {HIV} testing services and approaches are leaving members of {KP} behind. {I}ncreasing the availability of confidential {HIV} testing modalities in addition to traditional tests may substantially reduce gaps in {HIV} diagnosis and accelerate the decrease of new {HIV} infections in {W}estern {A}frica since half of them could be transmitted by undiagnosed {KP}.},
  keywords = {{COTE} {D}'{IVOIRE} ; {MALI} ; {SENEGAL}},
  numero = {},
  pages = {1  multigr.},
  booktitle = {},
  year = {2022},
  URL = {https://www.documentation.ird.fr/hor/fdi:010087005},
}