Skip to main content

Table 1 Characteristics of EMTCT validated countries and SSA Global Plan priority countries by December 2016

From: What will it take for the Global Plan priority countries in Sub-Saharan Africa to eliminate mother-to-child transmission of HIV?

  New HIV* infections Male+Female HIV Incidence per 1000 * Male+Female HIV population* Male+Female 1st 90: %PLHIV who know their status *(Target 90%) Recommended CD4 for treatment initiation 2nd 90: - Percent of People living with HIV receiving ART (Target 81%)* 3rd 90 :% viral suppression among all PLHIV (Target 73%)* PMTCT coverage (Effective regimen 2010-2017)* New HIV infections (15-49) Female (2017)* Criminialisation of non-disclosure of HIV status╢╞ Women 15-49 who have their demands for family planning satisfied Coverage of 4 antenatal visits during pregnancy % (year of data)
Armenia 180 (120-230) 0.06 (0.04-0.08) 3400 (2800-4300) 66 (55-82) ≤500 cells/mm3 45 (37-55) 38 (31-47) ... 43 (70-61) Yes Could not find data 96% (2015-16)
Belarus 2400 (1500-3900) 0.27 (0.17-0.44) 24000 (18000-33000) 79 (58-108) Treat all 46 (34-63) 30 (22-41) 92 (63-130) 798 (572-656) Yes 100% (2012)
Cuba 1800 (1500-2200) 0.17 (0.14-0.19) 30000 (26000-33000) 80 (70-90) ≤500 cells/mm3 66 (58-75) 43 (38-49) 113 (93-128) 497 (569-600) Yes 98% (2014)
Thailand ... ... 440000 (390000-510000) 98 (86-113) Treat all 72 (63-83) 62 (55-72) 96 (79-115)   No 93% (2012)
Angola 27000 (20000-37000) 0.99 (0.73-1.36) 310000 (260000-360000) ... Treat all 26 (22-30)   34 (24-42) 13,353 (13332-13737) unknown unknown No data
Botswana 14000 (10000-16000) 7.47 (5.24-8.94) 380000 (340000-410000) 86 (78-93) Treat all 84 (77-91) 81 (74-88) 90 (79-100) 6,710 (6140-6304) Yes unknown 73% (2007)
Burundi 3100 (1800-4600) 0.29 (0.17-0.44) 78000 (63000-93000) 80 (64-94) Treat all 77 (62-91)   85 (61-105) 1,385 (1034-1103) Yes 32%*^ 33% (2010)
Cameroon 28000 (19000-36000) 1.24 (0.83-1.58) 510000 (430000-600000) 71 (59-82) Treat all 49 (41-57)   77 (60-93) 13,828 (16118-17108) Unknown 24%*╢ 59% (2014)
Chad 5800 3600-7700) 0.41 (0.26-0.54) 110000 (94000-140000) ... ≤500 cells/mm3 45 (37-54)   68 (52-83) 2,500 (2510-2407) Unknown 28%*╧ 31% (2013-15)
Cote d’ Ivoire 30000 (13000-56000) 1.29 (0.55-2.43) 500000 (350000-690000) 54 (38-75) Treat all 46 (32-63) 35 (25-49) 70 (45-103) 12,211 Yes 32.2% 44% (2011-12)
Democratic Republic of the Congo 15000 (8200-23000) 0.17 (0,09-0.27) 390000 (310000-470000) 59 (46-71) Treat all 55 (43-66)   59 (44-74) 7,109 (10367-9237) unknown 28%*└ 48% (2011-12)
Eswatini 7000 (6200-7900) 8.02 (7.07-9.17) 210000 (190000-220000) 90 (83-97) Treat all 85 (78-91) 74 (68-79) 90 (76-99) 3,362 No 15%*║ 76% (2014)
Ethiopia 16000 (7200-28000) 0.17 (0.08-0.31) 610000 (470000-780000) 73 (56-94) Treat all 71 (55-91) 32 (25-41) 59 (39-78) 6,229 Yes 60.5% 32% (2016)
Ghana 19000 (15000-24000) 0.68 (0.54-0.86) 310000 (260000-370000) ... Treat all 40 (33-47)   66 (49-79) 9,771 Yes 33%*└ 87% (2014)
Kenya 53000 (31000-86000) 1.21 (0.7-1) 1500000 (1300000-1800000) ... Treat all 75 (63-89) 63 (53-74) 76 (58-92) 25,599 Unknown 80% (65-95%) 58% (2014)
Lesotho 15000 (13000-17000) 9.07 (7.66-10.37) 320000 (290000-340000) 80 (74-85) Treat all 74 (68-78) 68 (63-72) 90 (76-99) 6,969 No 78.9% 76% (2014)
Malawi 39000 (35000-51000) 2.39 (2.11-3.18) 1000000 (980000-1100000) 90 (84-97) Treat all 71 (66-77) 61 (58-67) 92 (75-105) 18,320 No 73.9% 51% (2015-16)
Mozambique 130000 (92000-170000) 4.75 (3.43-6.55) 2100000 (1800000-2500000) 59 (49-70) Treat all 54 (45-65)   86 (64-109) 59,473 No 29%*╢ 51% (2011)
Namibia 7400 5900-8400) 3.49 (2.73-4.01) 200000 (180000-210000) 90 (84-97) Treat all 84 (79-91) 74 (69-80) 124 (101-139) 3,672 No 80.4% 63% (2013)
Nigeria. Treat all      No* unknown 51% (2013)
 South Africa 270000 240000-300000) 5.46 (4.86-6.21) 7200000 (6600000-7900000) 90 (82-98) Treat all 61 (56-66) 47 (43-52) 106 (82-125) 136,327 No 14%*╨ 87% (2008)
 Uganda 50000 (42000-59000) 1.37 (1.15-1.64) 1300000 (1300000-1400000) 81 (76-86) Treat all 72 (68-77) 56 (53-60) 112 (90-126) 23,414 Yes 43% 48% (2011)
 United Republic of Tanzania 65000 (58000-74000) 1.36 (1.21-1.55) 1500000 (1300000-1600000)   Treat all 66 (58-73) 48 (43-53) 85 (68-99) 28,240 Yes 55.1% 51% (2015-16)
 Zambia 48000 (41000-58000) 3.6 (2.77-4.16) 1100000 (1100000-1200000)   Treat all 75 (70-81)   92 (78-103) 22,397 Noa 21%*└ 56% (2013-14)
 Zimbabwe 41000 (29000-52000) 3.08 (2.18-3.96) 1300000 (1200000-1500000) 85 (74-96) Treat all 84 (74-95)   96 (77-109) 19,255 Yes 84.8% 76% (2015)
  1. *data from UNAIDS Spectrum model 2018 prosecutions exist based on general law UNAIDS DATA 2017. Available from: http://www.comminit.com/unaids/content/unaids-data-2017