Literature DB >> 35834422

Pediatric HIV Case Identification Across 22 PEPFAR-Supported Countries During the COVID-19 Pandemic, October 2019-September 2020.

Ariana M Traub, Amy Medley, Jessica Gross, Margo Sloan, Anouk Amzel, Megan M Gleason, Nimasha B Fernando, Vincent Wong, Michael P Grillo, Hilary T Wolf, Teeb Al-Samarrai, Alean Frawley, Mosarwa Segwabe, Catherine Motswere, Evelyne Baramperanye, Valery Nzima, Magdalene Mange Mayer, Shirish Balachandra, Francois-Xavier N'siesi, Henri O Longuma, Patricia Nyembo, Sikhathele Mazibuko, Tsegaye Tilahun, Wondimu Teferi, Olbeg Desinor, Jean-Louis Reginald, Teresa Simiyu, Lennah Nyabiage, Justine Mirembe, Mamorapeli Ts'oeu, Gerald Zomba, Mtemwa Nyangulu, Argentina Wate, Jessica Greenberg Cowan, Denis Mali, Ismelda Pietersen, Dolapo Ogundehin, Dennis Onotu, Akudo Ikpeazu, Esron Niyonsaba, Jackson Bamwesigye, Hlamalani Mabasa, Gurpreet Kindra, Sudhir Bunga, Fredrick Rwegerera, Edward Machage, Galal King'ori, Jacqueline Calnan, Esther Nazziwa, Godfrey Lingenda, Kebby Musokotwane, Ruth Bulaya-Tembo, Talent Maphosa, Meena Srivastava.   

Abstract

During 2020, an estimated 150,000 persons aged 0-14 years acquired HIV globally (1). Case identification is the first step to ensure children living with HIV are linked to life-saving treatment, achieve viral suppression, and live long, healthy lives. Successful interventions to optimize pediatric HIV testing during the COVID-19 pandemic are needed to sustain progress toward achieving Joint United Nations Programme on HIV/AIDS (UNAIDS) 95-95-95 targets.* Changes in HIV testing and diagnoses among persons aged 1-14 years (children) were assessed in 22 U.S. President's Emergency Plan for AIDS Relief (PEPFAR)-supported countries during October 1, 2019-September 30, 2020. This period corresponds to the two fiscal quarters before the COVID-19 pandemic (i.e., Q1 and Q2) and the two quarters after the pandemic began (i.e., Q3 and Q4). Testing was disaggregated by age group, testing strategy, and fiscal year quarter. During October 2019-September 2020, PEPFAR supported 4,312,343 HIV tests and identified 74,658 children living with HIV (CLHIV). The number of HIV tests performed was similar during Q1 and Q2, decreased 40.1% from Q2 to Q3, and increased 19.7% from Q3 to Q4. The number of HIV cases identified among children aged 1-14 years (cases identified) increased 7.4% from Q1 to Q2, decreased 29.4% from Q2 to Q3, and increased 3.3% from Q3 to Q4. Although testing in outpatient departments decreased 21% from Q1 to Q4, testing from other strategies increased during the same period, including mobile testing by 38%, facility-based index testing (offering an HIV test to partners and biological children of persons living with HIV) by 8%, and testing children with signs or symptoms of malnutrition within health facilities by 7%. In addition, most tests (61.3%) and cases identified (60.9%) were among children aged 5-14 years (school-aged children), highlighting the need to continue offering HIV testing to older children. These findings provide important information on the most effective strategies for identifying CLHIV during the COVID-19 pandemic. HIV testing programs should continue to use programmatic, surveillance, and financial data at both national and subnational levels to determine the optimal mix of testing strategies to minimize disruptions in pediatric case identification during the COVID-19 pandemic.

Entities:  

Mesh:

Year:  2022        PMID: 35834422      PMCID: PMC9290390          DOI: 10.15585/mmwr.mm7128a2

Source DB:  PubMed          Journal:  MMWR Morb Mortal Wkly Rep        ISSN: 0149-2195            Impact factor:   35.301


During 2020, an estimated 150,000 persons aged 0–14 years acquired HIV globally (). Case identification is the first step to ensure children living with HIV are linked to life-saving treatment, achieve viral suppression, and live long, healthy lives. Successful interventions to optimize pediatric HIV testing during the COVID-19 pandemic are needed to sustain progress toward achieving Joint United Nations Programme on HIV/AIDS (UNAIDS) 95–95–95 targets.* Changes in HIV testing and diagnoses among persons aged 1–14 years (children) were assessed in 22 U.S. President’s Emergency Plan for AIDS Relief (PEPFAR)-supported countries during October 1, 2019–September 30, 2020. This period corresponds to the two fiscal quarters before the COVID-19 pandemic (i.e., Q1 and Q2) and the two quarters after the pandemic began (i.e., Q3 and Q4). Testing was disaggregated by age group, testing strategy, and fiscal year quarter. During October 2019–September 2020, PEPFAR supported 4,312,343 HIV tests and identified 74,658 children living with HIV (CLHIV). The number of HIV tests performed was similar during Q1 and Q2, decreased 40.1% from Q2 to Q3, and increased 19.7% from Q3 to Q4. The number of HIV cases identified among children aged 1–14 years (cases identified) increased 7.4% from Q1 to Q2, decreased 29.4% from Q2 to Q3, and increased 3.3% from Q3 to Q4. Although testing in outpatient departments decreased 21% from Q1 to Q4, testing from other strategies increased during the same period, including mobile testing by 38%, facility-based index testing (offering an HIV test to partners and biological children of persons living with HIV) by 8%, and testing children with signs or symptoms of malnutrition within health facilities by 7%. In addition, most tests (61.3%) and cases identified (60.9%) were among children aged 5–14 years (school-aged children), highlighting the need to continue offering HIV testing to older children. These findings provide important information on the most effective strategies for identifying CLHIV during the COVID-19 pandemic. HIV testing programs should continue to use programmatic, surveillance, and financial data at both national and subnational levels to determine the optimal mix of testing strategies to minimize disruptions in pediatric case identification during the COVID-19 pandemic. Monitoring, evaluation, and reporting indicators from 22 of 50 PEPFAR-supported countries were analyzed to assess changes in the number of HIV tests conducted and the number of cases identified among children during the two fiscal quarters before the start of the COVID-19 pandemic (October 2019–March 2020) and the two fiscal quarters after the pandemic began (April–September 2020). These 22 countries were selected because they account for >80% of CLHIV not receiving HIV treatment globally. Percent positivity was calculated by dividing the number of positive test results by the total number of tests reported. HIV test outcomes are reported overall, and by country, age group, testing strategy, and fiscal year quarter. Testing strategies include provider-initiated testing and counseling (PITC) in outpatient departments, tuberculosis clinics, malnutrition services, well-child clinics (for infants and children aged <5 years), and inpatient wards; index testing in facility and community settings; voluntary counseling and testing (VCT) initiated by clients; and mobile testing in the community. This protocol was reviewed in accordance with CDC human research protection procedures, determined to be a non-research public health program activity, and conducted consistent with applicable federal law and CDC policy. Of the 4,312,343 HIV tests conducted among children in the 22 countries, approximately one quarter (22.6%) occurred in South Africa. Among the 74,658 cases identified (representing an overall 1.7% positivity rate), approximately one half (54.7%) were in Mozambique, Nigeria, South Africa, and Tanzania, with Mozambique identifying the most cases (12,367; 16.6%) (Table 1). The majority of tests conducted (61.3%) and of cases identified (60.9%) were among school-aged children (Table 1). Percent positivity was highest among children aged 5–9 years (2.1%) followed by those aged 1–4 (1.8%) and 10–14 (1.5%) years.
TABLE 1

Number of tests and number and percentage of children and adolescents aged 1–14 years identified with HIV, by age group — 22 PEPFAR-supported countries, October 2019–September 2020

CountryNo. of HIV tests conducted (%)
No. of HIV-positive tests (%)
All1–4 yrs5–9 yrs10–14 yrsAll1–4 yrs5–9 yrs10–14 yrs
Angola
6,949
2,874 (41.4)
2,281 (32.8)
1,794 (25.8)
381 (5.5)
174 (6.1)
129 (5.7)
78 (4.3)
Botswana
4,524
1,556 (34.4)
367 (8.1)
2,601 (57.5)
43 (1.0)
15 (1.0)
16 (4.4)
12 (0.5)
Burundi
23,349
13,392 (57.4)
5,130 (22.0)
4,827 (20.7)
414 (1.8)
143 (1.1)
143 (2.8)
128 (2.7)
Cameroon
104,328
39,852 (38.2)
32,773 (31.4)
31,703 (30.4)
1,906 (1.8)
840 (2.1)
639 (1.9)
427 (1.3)
Côte d’Ivoire
117,773
47,254 (40.1)
34,567 (29.4)
35,952 (30.5)
1,148 (1.0)
538 (1.1)
316 (0.9)
294 (0.8)
DRC
98,410
35,296 (35.9)
32,888 (33.4)
30,226 (30.7)
4,087 (4.2)
1,637 (4.6)
1,454 (4.4)
996 (3.3)
Eswatini
27,618
8,028 (29.1)
6,864 (24.9)
12,726 (46.1)
449 (1.6)
116 (1.4)
112 (1.6)
221 (1.7)
Ethiopia
354,066
230,396 (65.1)
51,330 (14.5)
72,340 (20.4)
1,451 (0.4)
619 (0.3)
394 (0.8)
438 (0.6)
Haiti
33,772
16,321 (48.3)
8,130 (24.1)
9,321 (27.6)
452 (1.3)
185 (1.1)
124 (1.5)
143 (1.5)
Kenya
297,984
79,364 (26.6)
85,125 (28.6)
133,495 (44.8)
4,693(1.6)
1,803 (2.3)
1,515 (1.8)
1,375 (1.0)
Lesotho
61,645
19,731 (32.0)
16,105 (26.1)
25,809 (41.9)
226 (0.4)
83 (0.4)
45 (0.3)
98 (0.4)
Malawi
155,859
73,200 (47.0)
30,423 (19.5)
52,236 (33.5)
3,028 (1.9)
1,300 (1.8)
711 (2.3)
1,017 (1.9)
Mozambique
637,575
222,439 (34.9)
201,503 (31.6)
213,633 (33.5)
12,367 (1.9)
4,753 (2.1)
4,524 (2.2)
3,090 (1.4)
Namibia
12,268
5,245 (42.8)
3,398 (27.7)
3,625 (29.5)
251 (2.0)
100 (1.9)
78 (2.3)
73 (2.0)
Nigeria
405,589
122,720 (30.3)
114,727 (28.3)
168,142 (41.5)
9,471 (2.3)
3,817 (3.1)
2,785 (2.4)
2,869 (1.7)
Rwanda
8,963
1,957 (21.8)
3,452 (38.5)
3,554 (39.7)
147 (1.6)
70 (3.6)
49 (1.4)
28 (0.8)
South Africa
972,761
441,881 (45.4)
211,183 (21.7)
319,697(32.9)
10,726 (1.1)
3,561 (0.8)
2,638 (1.2)
4,527 (1.4)
South Sudan
36,577
14,554 (39.8)
8,953 (24.5)
13,070 (35.7)
475 (1.3)
274 (1.9)
101 (1.1)
100 (0.8)
Tanzania
236,162
89,164 (37.8)
74,053 (31.4)
72,945 (30.9)
8,282 (3.5)
3,370 (3.8)
2,684 (3.6)
2,228 (3.1)
Uganda
354,014
81,255 (23.6)
81,065 (23.5)
182,694 (53.0)
5,031 (1.5)
2,089 (2.6)
1,542 (1.9)
1,400 (0.8)
Zambia
244,555
89,148 (36.5)
64,176 (26.2)
91,231 (37.3)
7,153 (2.9)
2,835 (3.2)
2,104 (3.3)
2,214 (2.4)
Zimbabwe
126,602
32,891 (26.0)
14,663 (11.6)
79,048 (62.4)
2,477 (2.0)
893 (2.7)
665 (4.5)
919 (1.2)
Total 4,312,343 1,668,518 (38.7) 1,083,156 (25.1) 1,560,669 (36.2) 74,658 (1.7) 29,215 (1.8) 22,768 (2.1) 22,675 (1.5)

Source: PEPFAR Monitoring, Evaluation, and Reporting Database, Data for Accountability, Transparency, and Impact Monitoring database, October 2019–September 2020.

Abbreviations: DRC = Democratic Republic of the Congo; PEPFAR = U.S. President’s Emergency Plan for AIDS Relief.

Source: PEPFAR Monitoring, Evaluation, and Reporting Database, Data for Accountability, Transparency, and Impact Monitoring database, October 2019–September 2020. Abbreviations: DRC = Democratic Republic of the Congo; PEPFAR = U.S. President’s Emergency Plan for AIDS Relief. The number of HIV tests conducted among children decreased 40.1% from Q2 to Q3 across all 22 countries at the start of the COVID-19 pandemic but increased 19.7% from Q3 to Q4 as programs began making shifts in their HIV testing strategies. Similarly, the number of cases identified decreased 29.4% from Q2 to Q3 but increased 3.3% from Q3 to Q4. Seventeen of the 22 countries reported that the number of cases identified increased from Q3 to Q4. By Q4, case identification had surpassed pre–COVID-19 levels in six countries, (Q4:Q1 ratio ≥1.0), returned to pre–COVID-19 levels in three countries (Q4:Q1 ratio >0.95–<1.0), and remained below pre–COVID-19 levels in 13 countries (Q4:Q1 ratio <0.95) (Table 2).
TABLE 2

Number of tests and number and percentage of children and adolescents aged 1–14 years identified with HIV, by quarter — 22 PEPFAR-supported countries, October 2019–September 2020

CountryNo. of HIV tests conducted

No. of HIV-positive tests (%)

AllOct–Dec 2019Jan–Mar 2020Apr–Jun 2020Jul–Sep 2020RatioQ4 versus Q1*AllOct–Dec 2019Jan–Mar 2020Apr–Jun 2020Jul–Sep 2020RatioQ4 versus Q1*
Angola
6,949
1,477
2,173
1,336
1,963
1.33
381 (5.5)
86 (5.8)
101 (4.6)
68 (5.1)
126 (6.4)
1.47
Botswana
4,524
3,376
667
209
272
0.08
43 (1.0)
16 (0.5)
11 (1.6)
10 (4.8)
6 (2.2)
0.38
Burundi
23,349
5,817
5,642
6,452
5,438
0.93
414 (1.8)
100 (1.7)
106 (1.9)
123 (1.9)
85 (1.6)
0.85
Cameroon
104,336
20,320
22,297
29,540
32,179
1.58
1,905 (1.8)
319 (1.6)
505 (2.3)
534 (1.8)
547 (1.7)
1.71
Côte d’Ivoire
117,773
34,491
32,157
26,602
24,523
0.71
1,148 (1.0)
284 (0.8)
302 (0.9)
259 (1.0)
303 (1.2)
1.07
DRC
98,410
22,811
27,226
23,610
24,763
1.09
4,087 (4.2)
894 (3.9)
1,096 (4.0)
1,001 (4.2)
1,096 (4.4)
1.23
Eswatini
27,618
5,489
7,971
2,839
11,319
2.06
449 (1.6)
110 (2.0)
144 (1.8)
72 (2.5)
123 (1.1)
1.12
Ethiopia
354,075
135,267
108,439
50,760
59,609
0.44
1,451 (0.4)
535 (0.4)
436 (0.4)
228 (0.4)
252 (0.4)
0.47
Haiti
33,772
9,038
10,469
5,024
9,241
1.02
452 (1.3)
107 (1.2)
133 (1.3)
78 (1.6)
134 (1.5)
1.25
Kenya
297,985
94,057
79,212
57,048
67,668
0.72
4,689 (1.6)
1,246 (1.3)
1,440 (1.8)
971 (1.7)
1,032 (1.5)
0.83
Lesotho
61,645
30,726
22,387
4,803
3,729
0.12
226 (0.4)
79 (0.3)
88 (0.4)
34 (0.7)
25 (0.7)
0.32
Malawi
155,859
62,284
40,349
21,721
31,505
0.51
3,028 (1.9)
1,062 (1.7)
728 (1.8)
514 (2.4)
724 (2.3)
0.68
Mozambique
637,570
173,106
201,520
125,967
136,977
0.79
12,367 (1.9)
3,096 (1.8)
3,875 (1.9)
2,626 (2.1)
2,770 (2.0)
0.89
Namibia
12,268
3,236
3,749
3,006
2,277
0.70
251 (2.0)
66 (2.0)
67 (1.8)
68 (2.3)
50 (2.2)
0.76
Nigeria
405,589
94,283
104,003
83,941
123,362
1.31
9,471 (2.3)
2,489 (2.6)
2,386 (2.3)
2,166 (2.6)
2,430 (2.0)
0.98
Rwanda
8,963
2,159
2,233
2,207
2,364
1.09
147 (1.6)
46 (2.1)
34 (1.5)
33 (1.5)
34 (1.4)
0.74
South Africa
972,760
265,547
318,778
168,309
220,126
0.83
10,726 (1.1)
3,514 (1.3)
3,682 (1.2)
1,728 (1.0)
1,802 (0.8)
0.51
South Sudan
36,577
11,430
9,529
7,464
8,154
0.71
475 (1.3)
112 (1.0)
160 (1.7)
93 (1.2)
110 (1.3)
0.98
Tanzania
236,162
58,561
71,216
59,803
46,582
0.80
8,282 (3.5)
2,356 (4.0)
2,411 (3.4)
2,050 (3.4)
1,465 (3.1)
0.62
Uganda
345,016
102,383
118,751
49,706
74,176
0.72
5,031 (1.5)
1,155 (1.1)
1,769 (1.5)
982 (2.0)
1,125 (1.5)
0.97
Zambia
244,555
81,290
72,208
47,150
43,907
0.54
7,153 (2.9)
2,159 (2.7)
1,863 (2.6)
1,652 (3.5)
1,479 (3.4)
0.69
Zimbabwe
126,602
51,328
52,754
10,051
12,469
0.24
2,479 (2.0)
828 (1.6)
844 (1.6)
362 (3.6)
445 (3.6)
0.54
Total 4,312,357 1,268,476 1,313,730 787,548 942,603 0.74 74,655 (1.7) 20,659 (1.6) 22,181 (1.7) 15,652 (2.0) 16,163 (1.7) 0.78

Source: PEPFAR Monitoring, Evaluation, and Reporting Database, Data for Accountability, Transparency, and Impact Monitoring database, October 2019–September 2020.

Abbreviations: DRC = Democratic Republic of the Congo; PEPFAR = U.S. President’s Emergency Plan for AIDS Relief; Q1 = quarter 1; Q4 = quarter 4.

* Q1 (Oct–Dec 2019) and Q4 (Jul–Sep 2020).

Source: PEPFAR Monitoring, Evaluation, and Reporting Database, Data for Accountability, Transparency, and Impact Monitoring database, October 2019–September 2020. Abbreviations: DRC = Democratic Republic of the Congo; PEPFAR = U.S. President’s Emergency Plan for AIDS Relief; Q1 = quarter 1; Q4 = quarter 4. * Q1 (Oct–Dec 2019) and Q4 (Jul–Sep 2020). Approximately one half (47.9%) of HIV tests were conducted in outpatient department settings, followed by facility-based index testing (12.1%), well-child clinics (8.1%), and mobile testing (5.4%). PITC in outpatient departments identified the largest number of cases (24,812; 33.2%), followed by facility-based index testing (24,372; 32.6%), community-based index testing (5,922; 7.9%), and VCT (5,034; 6.7%). Similarly, the percent positivity was highest for PITC in tuberculosis clinics (5.4%), followed by facility-based index testing (4.6%), community-based index testing (3.6%), and VCT (2.6%). Facility and community-based index testing, combined, identified the most cases across the four quarters (40.5%; positivity rate = 4.4%), despite only representing 18.3% of all testing. By Q4, the number of tests conducted returned to pre–COVID-19 levels (Q4:Q1 ratio >0.95) for three strategies: mobile testing, facility-based index testing, and PITC among malnourished children (Table 3). However, the number of tests conducted was <75% of pre–COVID-19 levels in Q4 for PITC in inpatient wards and well-child clinics, VCT, and index testing in community settings. The number of cases identified decreased from Q2 to Q3 across all strategies except inpatient wards, where the number increased by 28.8% and the percentage of HIV-positive test results nearly doubled from 1.2% to 2.2%. By Q4, case identification only reached pre–COVID-19 levels for facility-based index testing and PITC among malnourished children.
TABLE 3

Number of children and adolescents aged 1–14 years receiving testing, identified as HIV-positive, and percent positivity by HIV testing strategy — 22 PEPFAR-supported countries, October 2019–September 2020

HIV testing strategyNo. of HIV tests conducted (%)

No. of HIV-positive tests (%)

AllOct–Dec 2019Jan–Mar 2020Apr–Jun 2020Jul–Sep 2020RatioQ4 versus Q1*AllPercent positivityOct–Dec 2019Jan–Mar2020Apr–Jun 2020Jul–Sep 2020RatioQ4 versus Q1*
Outpatient department
2,065,526 (47.9)
585,548 (46.2)
616,578 (46.9)
402,996 (51.2)
460,404 (48.8)
0.79
24,812 (33.2)
1.2
6,625 (1.1)
7,808 (1.3)
5,039 (1.3)
5,340 (1.2)
0.81
Index (facility)
523,931 (12.1)
127,743 (10.1)
140,453 (10.7)
117,241 (14.9)
138,494 (14.7)
1.08
24,327 (32.6)
4.6
6,154 (4.8)
7,000 (5.0)
5,491 (4.7)
5,682 (4.1)
0.92
Index (community)
162,966 (3.8)
47,751 (3.8)
62,559 (4.8)
19,950 (2.5)
32,706 (3.5)
0.68
5,922 (7.9)
3.6
1,806 (3.8)
1,956 (3.1)
950 (4.8)
1,210 (3.7)
0.67
Inpatient wards
168,420 (3.9)
49,425 (3.9)
49,144 (3.7)
33,924 (4.3)
35,927 (3.8)
0.73
2,337 (3.1)
1.4
582 (1.2)
590 (1.2)
760 (2.2)
405 (1.1)
0.70
Tuberculosis clinics
39,378 (0.9)
10,128 (0.8)
12,073 (0.9)
8,147 (1.0)
9,030 (1.0)
0.89
2,124 (2.8)
5.4
674 (6.7)
618 (5.1)
470 (5.8)
362 (4.0)
0.54
Malnutrition clinics
27,513 (0.6)
6,406 (0.5)
7,287 (0.6)
6,986 (0.9)
6,834 (0.7)
1.07
284 (0.4)
1.0
75 (1.2)
77 (1.1)
59 (0.8)
73 (1.1)
0.97
VCT
192,269 (4.5)
67,926 (5.4)
50,780 (3.9)
32,189 (4.1)
41,374 (4.4)
0.61
5,034 (6.7)
2.6
1,578 (2.3)
1,504 (3.0)
960 (3.0)
992 (2.4)
0.63
Well-child clinics§
349,315 (8.1)
112,522 (8.9)
104,654 (8.0)
62,483 (7.9)
69,656 (7.4)
0.62
2,591 (3.5)
0.7
858 (0.8)
664 (0.6)
602 (1.0)
467 (0.7)
0.54
Mobile
233,476 (5.4)
49,386 (3.9)
74,792 (5.7)
41,168 (5.2)
68,130 (7.2)
1.38
3,015 (4.0)
1.3
835 (1.7)
885 (1.2)
597 (1.5)
698 (1.0)
0.84
All other strategies
549,563 (12.7)
211,641 (16.7)
195,410 (14.9)
62,464 (7.9)
80,048 (8.5)
0.38
4,209 (5.6)
0.8
1,472 (0.7)
1,079 (0.6)
724 (1.2)
934 (1.2)
0.63
Total 4,312,357 1,268,476 1,313,730 787,548 942,603 0.74 74,655 1.7 20,659 (1.6) 22,181 (1.7) 15,652 (2.0) 16,163 (1.7) 0.78

Source: PEPFAR Monitoring, Evaluation, and Reporting Database, Data for Accountability, Transparency, and Impact Monitoring database, October 2019–September 2020.

Abbreviations: PEPFAR = U.S. President’s Emergency Plan for AIDS Relief; Q1 = quarter 1; Q4 = quarter 4; VCT = voluntary counseling and testing.

* Ratio of the number of tests conducted and positive test results received comparing Q1 (Oct–Dec 2019) and Q4 (Jul–Sep 2020).

† Number of HIV-positive test results divided by the total number of tests conducted.

§ For infants and children aged <5 years.

Source: PEPFAR Monitoring, Evaluation, and Reporting Database, Data for Accountability, Transparency, and Impact Monitoring database, October 2019–September 2020. Abbreviations: PEPFAR = U.S. President’s Emergency Plan for AIDS Relief; Q1 = quarter 1; Q4 = quarter 4; VCT = voluntary counseling and testing. * Ratio of the number of tests conducted and positive test results received comparing Q1 (Oct–Dec 2019) and Q4 (Jul–Sep 2020). † Number of HIV-positive test results divided by the total number of tests conducted. § For infants and children aged <5 years.

Discussion

Findings from this report suggest progress toward reaching the UNAIDS 95–95–95 targets for CLHIV were negatively affected during the COVID-19 pandemic, especially during April–June 2020. Although the number of HIV tests conducted and cases identified increased from Q3 to Q4, the overall number of children diagnosed with HIV during Q4 remained below pre–COVID-19 levels. Although more resource intensive (), index testing remains a priority for identifying children before they develop advanced disease, and during the COVID-19 pandemic when children and caregivers are less likely to seek outpatient services (). Prioritizing the identification and testing of the biological children of key populations (i.e., persons who engage in sex work, men who have sex with men, persons who inject drugs, persons who identify as transgender, and persons who are incarcerated in prisons and other closed settings) living with HIV is also critical given their increased risk and vulnerabilities (). Although community index testing and mobile testing did not identify as many cases as did PITC, they also remain important strategies to identify children unable to access health care (), and to limit potential exposures at health care facilities during the COVID-19 pandemic. In a similar recent analysis of 16 countries, those countries that maintained or increased community-based testing, including index testing, were able to mitigate declines in the number of cases identified during the COVID-19 pandemic (). In the current analysis, the number of tests conducted and cases identified in community-based index testing during Q4 did not reach pre–COVID-19 levels, although this strategy did have a relatively high percent positivity in Q4. Community-based testing strategies are often more expensive than facility-based approaches (). Therefore, each country program will have to determine the cost-benefit ratio of different testing strategies using national and subnational data to guide decisions on which strategies to implement for pediatric case finding. Orphans and vulnerable children programs, which are integral to community-based care for CLHIV, can also provide support to facilitate HIV testing (). Programs might consider accelerating policies allowing the distribution of oral self-test kits to caregivers to screen their biological children aged ≥2 years for HIV to reduce barriers to HIV testing, decrease visits to health care facilities, and close gaps in elicitation and testing of biological contacts (). Children infected through perinatal transmission might be seen at health care facilities (e.g., tuberculosis clinics, malnutrition clinics, and inpatient wards) with advanced disease if they are not diagnosed through other testing strategies. In this analysis, the percent positivity was highest for PITC in tuberculosis clinics; testing in inpatient wards was the only strategy that had an increase in cases identified during the first quarter of the COVID-19 pandemic. Universal testing at these entry points is therefore crucial, particularly during the COVID-19 pandemic when children might seek care with more advanced disease. In addition, most tests conducted (61.3%) and cases identified (60.9%) were among school-aged children. This finding highlights the ongoing need for both early infant diagnosis to identify and link children to treatment at an earlier age and HIV testing services among older children because studies indicate children infected during breastfeeding can survive into adolescence even without treatment (). The findings in this report are subject to at least four limitations. First, although countries follow PEPFAR monitoring and reporting guidance, data quality and reporting by testing strategy vary across countries. This caveat is particularly true for community-based testing in which contacts of known persons living with HIV might not always be accurately reflected under index testing. Second, PEPFAR indicators monitor the number of tests conducted, not the number of persons tested. Thus, the number of tests conducted and HIV-positive test results returned might be higher than the number of persons who received testing. Third, the impacts, restrictions, and adaptations to the COVID-19 pandemic varied across countries. This analysis cannot fully account for the impact of these variations on the results presented. Further qualitative assessments might provide a more in-depth understanding of how COVID-19 affected the provision and uptake of HIV testing across multiple waves of the pandemic. Finally, some countries did not use all the testing strategies included in this analysis. Case identification is the first step to ensure CLHIV are linked to life-saving treatment, achieve viral suppression, and live long, healthy lives. During the COVID-19 pandemic, many PEPFAR-supported countries experienced disruptions in case identification among CLHIV. Six countries (Angola, Cameroon, Côte d’Ivoire, Democratic Republic of Congo, Eswatini, and Haiti), however, were able to exceed pre–COVID-19 case identification levels, using a combination of high yield strategies, including facility index testing, mobile testing, and testing children with signs or symptoms of malnutrition. These findings provide important information for countries and programs on the most effective strategies for identifying CLHIV during the COVID-19 pandemic. HIV testing programs should continue to use programmatic, surveillance, and financial data at both national and subnational levels to determine the optimal mix of testing strategies to minimize disruptions in pediatric case identification during the COVID-19 pandemic surges and other public health crises.

What is already known about this topic?

Identifying and linking children living with HIV to treatment is essential to reduce morbidity and mortality.

What is added by this report?

During the first 3 months of the COVID-19 pandemic, HIV testing and case identification among children and adolescents aged 1–14 years in 22 PEPFAR-supported countries decreased by 40.1% and 29.4%, respectively. Although outpatient testing decreased (21%), testing increased for other strategies, including mobile (38%), facility-based index (8%), and malnutrition (7%), suggesting these strategies can mitigate the impact of COVID-19 on pediatric case identification.

What are the implications for public health practice?

HIV testing programs can use programmatic, surveillance, and financial data to determine the optimal mix of testing strategies during the COVID-19 pandemic.
  5 in total

1.  Net survival of perinatally and postnatally HIV-infected children: a pooled analysis of individual data from sub-Saharan Africa.

Authors:  Milly Marston; Renaud Becquet; Basia Zaba; Lawrence H Moulton; Glenda Gray; Hoosen Coovadia; Max Essex; Didier K Ekouevi; Debra Jackson; Anna Coutsoudis; Charles Kilewo; Valériane Leroy; Stefan Wiktor; Ruth Nduati; Philippe Msellati; François Dabis; Marie-Louise Newell; Peter D Ghys
Journal:  Int J Epidemiol       Date:  2011-01-18       Impact factor: 7.196

2.  Where are the positives? HIV testing in sub-Saharan Africa in the era of test and treat.

Authors:  Kevin M De Cock; Joseph L Barker; Rachel Baggaley; Wafaa M El Sadr
Journal:  AIDS       Date:  2019-02-01       Impact factor: 4.177

3.  Community burden of undiagnosed HIV infection among adolescents in Zimbabwe following primary healthcare-based provider-initiated HIV testing and counselling: A cross-sectional survey.

Authors:  Victoria Simms; Ethel Dauya; Subathira Dakshina; Tsitsi Bandason; Grace McHugh; Shungu Munyati; Prosper Chonzi; Katharina Kranzer; Getrude Ncube; Collen Masimirembwa; Roslyn Thelingwani; Tsitsi Apollo; Richard Hayes; Helen A Weiss; Rashida A Ferrand
Journal:  PLoS Med       Date:  2017-07-25       Impact factor: 11.069

4.  Programmatic determinants of successful referral to health and social services for orphans and vulnerable children: A longitudinal study in Tanzania.

Authors:  Shraddha Bajaria; Ramadhani Abdul; Amon Exavery; Epifania Minja; John Charles; Sally Mtenga; Elizabeth Jere; Eveline Geubbels
Journal:  PLoS One       Date:  2020-09-18       Impact factor: 3.240

Review 5.  Costs of implementing community-based intervention for HIV testing in sub-Saharan Africa: a systematic review.

Authors:  Florida Uzoaru; Ucheoma Nwaozuru; Jason J Ong; Felix Obi; Chisom Obiezu-Umeh; Joseph D Tucker; Thembekile Shato; Stacey L Mason; Victoria Carter; Sunita Manu; Rhonda BeLue; Oliver Ezechi; Juliet Iwelunmor
Journal:  Implement Sci Commun       Date:  2021-07-05
  5 in total

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