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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 initiationâ•ž

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 satisfiedâ•ž

Coverage of 4 antenatal visits during pregnancy % (year of data) â•ž

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%*â•¢

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%*â””

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%*â•‘

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%*â””

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%*â•¢

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%*â””

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 â•¢prosecutions exist based on general law â•žUNAIDS DATA 2017. Available from: http://www.comminit.com/unaids/content/unaids-data-2017