@article{fdi:010063252, title = {{HIV} estimates at second subnational level from national population-bases surveys}, author = {{L}armarange, {J}oseph and {B}endaud, {V}.}, editor = {}, language = {{ENG}}, abstract = {{O}bjectives:{A} better understanding of the subnational variations could be paramount to the efficiency and effectiveness of the response to the {HIV} epidemic. {T}he purpose of this study is to describe the methodology used to produce the first estimates at second subnational level released by {UNAIDS}. {M}ethods:{W}e selected national population-based surveys with {HIV} testing and survey clusters geolocation, conducted in 2008 or later. {A} kernel density estimation approach (prev{R}) with adaptive bandwidths was used to generate a surface of {HIV} prevalence. {T}his surface was combined with {L}and{S}can global population distribution grid to estimate the spatial distribution of people living with {HIV} ({PLWHIV}). {F}inally, results were adjusted to national {UNAIDS}'s published estimates and merged per second subnational administrative unit. {A}n indicator of the quality of the estimates was computed for each administrative unit. {R}esults:{T}hese estimates combine two complementary approaches: the prev{R} method, focusing on spatial variations of {HIV} prevalence, as well as national estimates published by {UNAIDS}, taking into account trends of {HIV} prevalence over time. {S}eventeen country reports have been produced. {H}owever, quality of the estimates at second subnational level is highly heterogonous between countries, depending on the number of units and the survey sampling size. {I}n some countries, estimates at second subnational level are very uncertain and should be interpreted with caution. {C}onclusion:{T}hese estimates at second subnational level constitute a first step to help countries to better understand their {HIV} epidemic and to inform programming at lower geographical levels. {F}urther developments are needed to better match local needs.}, keywords = {{SIDA} ; {EPIDEMIOLOGIE} ; {METHODE} {D}'{ANALYSE} ; {ESTIMATION} ; {PREVALENCE} ; {VARIATION} {SPATIALE} ; {AFRIQUE} {SUBSAHARIENNE}}, booktitle = {{T}he 2013/14 {UNAIDS} estimates methods : extending the scope and granularity of {HIV} estimates}, journal = {{AIDS}}, volume = {28}, numero = {{S}uppl. 4}, pages = {{S}469--476}, ISSN = {0269-9370}, year = {2014}, DOI = {10.1097/{QAD}.0000000000000480}, URL = {https://www.documentation.ird.fr/hor/fdi:010063252}, }