@article{fdi:010066180,
  title = {{S}patial analysis of {HIV} infection and associated individual characteristics in {B}urundi : indications for effective prevention},
  author = {{B}arankanira, {E}mmanuel and {M}olinari, {N}. and {N}iyongabo, {T}. and {L}aurent, {C}hristian},
  editor = {},
  language = {{ENG}},
  abstract = {{B}ackground: {A}dequate resource allocation is critical in the battle against {HIV}/{AIDS}, especially in {A}frica. {T}he determination of the location and nature of {HIV} services to implement must comply with the geographic, social and behavioral characteristics of patients. {W}e therefore investigated the spatial heterogeneity of {HIV} prevalence in {B}urundi and then assessed the association of social and behavioral characteristics with {HIV} infection accounting for the spatial heterogeneity. {M}ethods: {W}e used data from the 2010 {D}emographic and {H}ealth {S}urvey. {W}e analyzed these data with a geostatistical approach (which takes into account spatial autocorrelation) by i) interpolating {HIV} data using the kernel density estimation, ii) identifying the spatial clusters with high and low {HIV} prevalence using the {K}ulldorff spatial scan statistics, and then iii) performing a multivariate spatial logistic regression. {R}esults: {O}verall {HIV} prevalence was 1.4 %. {T}he interpolated data showed the great spatial heterogeneity of {HIV} prevalence (from 0 to 10 %), independently of administrative boundaries. {A} cluster with high {HIV} prevalence was found in the capital city and adjacent areas (3.9 %; relative risk 3.7, p < 0.001) whereas a cluster with low prevalence straddled two southern provinces (0 %; p = 0.02). {B}y multivariate spatial analysis, {HIV} infection was significantly associated with the female sex (posterior odds ratio [{POR}] 1.36, 95 % credible interval [{C}r{I}] 1.13-1.64), an older age ({POR} 1.97, 95 % {C}r{I} 1.26-3.08), the level of education ({POR} 1.50, 95 % {C}r{I} 1.22-1.84), the marital status ({POR} 1.86, 95 % {C}r{I} 1.23-2.80), a higher wealth index ({POR} 2.11, 95 % {C}r{I} 1.77-2.51), the sexual activity ({POR} 1.76, 95 % {C}r{I} 1.04-2.96), and a history of sexually transmitted infection ({POR} 2.03, 95 % {C}r{I} 1.56-2.64). {C}onclusions: {O}ur study, which shows where and towards which populations {HIV} resources should be allocated, could help national health policy makers develop an effective {HIV} intervention in {B}urundi. {O}ur findings support the strategy of the {J}oint {U}nited {N}ations {P}rogramme on {HIV}/{AIDS} ({UNAIDS}) for country-specific, in-depth analyses of {HIV} epidemics to tailor national prevention responses.},
  keywords = {{HIV} ; {P}revalence ; {H}eterogeneity ; {S}patial ; {F}actors ; {BURUNDI}},
  booktitle = {},
  journal = {{BMC} {P}ublic {H}ealth},
  volume = {16},
  numero = {},
  pages = {118 [11 ]},
  ISSN = {1471-2458},
  year = {2016},
  DOI = {10.1186/s12889-016-2760-3},
  URL = {https://www.documentation.ird.fr/hor/fdi:010066180},
}