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Original Research Open Access
Volume 7 | Issue 1 | DOI: https://doi.org/10.33696/AIDS.7.064

Viral Load Suppression and Associated Factors among People Living with HIV on Antiretroviral Therapy in a Tertiary Health Institution in Owo, Southwest, Nigeria

  • 1Department of Paediatrics, Federal Medical Centre, Owo, Ondo state, Nigeria
  • 2Department of Community Health, Federal Medical Centre, Owo, Ondo state, Nigeria
  • 3Department of Family Medicine, Federal Medical Centre, Owo, Ondo state, Nigeria
  • 4Department of Paediatrics, Mother and Child Hospital, Akure, Ondo state, Nigeria
  • 5Department of Obstetrics and Gynaecology, Federal Medical Centre, Owo, Ondo state, Nigeria
+ Affiliations - Affiliations

*Corresponding Author

Abiodun J. Kareem, biodunkareem13@gmail.com

Received Date: April 14, 2025

Accepted Date: July 15, 2025

Abstract

Background: Suppression of Human Immuno-deficiency Virus (HIV) viral load (VL) is essential for preventing disease progression and improved quality of life in persons living with HIV (PLHIV). In 2023, Nigeria had an HIV prevalence rate of 2.1% while Ondo state was 1.1%. No prior characterization of the status of viral load suppression of PLHIV in the Owo, Ondo state has been undertaken. This study aimed to determine the predictors of viral load suppression among PLHIV in Owo, Ondo State, Nigeria.

Methods: This is a retrospective cross-sectional study where the record of PLHIV on Antiretroviral therapy (ART) for at least six months was reviewed. The data source was the database of the HIV clinic of PLHIV enrolled in ART care from 1st September 2009 to 31st August 2024. Plasma viral load was determined using a polymerase chain reaction. The p-value <0.05 was considered significant.

Results: Two thousand and fifty subjects were recruited of which 67.8% were females while 50.8% belonged to the middle-age. The overall prevalence of viral load suppression was 91.5%; the prevalence among paediatrics was 87.1% while among adults was 91.8%. The majority (96.3%) had good ART adherence. Age (p=0.011), sex (p=0.011), current ART status (p=0.000), ART adherence (p=0.032), and baseline CD4 count (p=0.008) were associated with viral load suppression. The predictors of viral load suppression were sex (OR=1.7; p=0.006; 95%CI=1.157–2.360), current ART status (OR=7.8; p=0.000; 95%CI=5.326–11.441), ART adherence (OR=3.1; p=0.041; 95%CI=1.046–9.056), and baseline CD4 count (OR=2.6; p=0.012; 95%CI=1.248–5.022).

Conclusions: The prevalence of viral load suppression was less than the UNAID target of 95% hence, a concerted effort is required in combating the disease.

Keywords

Antiretroviral therapy, HIV/AIDS, Southwest-Nigeria, Viral Load Suppression

Introduction

Human Immuno-Deficiency Virus (HIV) is a pandemic infection that remains a global disease with public health challenges, it is a leading cause of infections globally despite the success rate of the highly active antiretroviral therapy (HAART) [1]. Globally, HIV affected 39.9 million (36.1–44.6 million) people at the end of 2023 of which 0.6% of adults aged 15–49 years were affected [2]. Sadly, the major population affected are people living in low- and middle-income countries [2]. In Nigeria, the prevalence of HIV was 2.1% in 2023 with varying prevalence across the country with Benue (5.7%) having the highest prevalence, Ondo had a prevalence of 1.1%, while Jigawa had the lowest HIV prevalence (0.3%) [3].

In the bid to reduce the burden of HIV globally, the Joint United Nations Programme on HIV and AIDS (UNAIDS) in 2014 set a target referred to as 95-95-95 which aimed to control the HIV/AIDS epidemic by 2030 [4]. The aim was that by 2030, 95% of people living with HIV (PLHIV) should know their HIV status, 95% of them should be on antiretroviral therapy (ART), and 95% of all individuals on ART should have suppressed viral load (VL) and there should be zero discrimination [5,6]. The main rationale for the use of antiretroviral therapy (ART) is to attain maximal viral suppression, reduce the risk of transmission of HIV and improve the well-being of infected persons [7]. In 2018, Nigeria had only 67% of PLHIV that knew their status, of which 53% were on treatment and only 42% were virally suppressed [8,9]. In 2023, Nigeria had approximately two million people living with HIV, the fourth largest in the world [3].

VL measurement is the gold standard for monitoring treatment success. Viral load suppression (VLS) is an essential parameter of the effectiveness of ART, a surrogate marker for disease progression, and one of the 10 global indicators in the 2015 WHO consolidated strategic information guidelines for HIV in the health sector [4,10,11]. PLHIV who are virally unsuppressed are at higher risk of disease progression, transmission, and mortality [12]. WHO recommends VL as a measure of the efficacy of ART and treatment adherence. Treatment success is defined as a VL threshold of <1,000 copies/Ml [13]. VLS is achievable and studies have shown individual, interpersonal, and institutional factors that are associated with VLS in the general population [14,15]. However, factors associated with viral suppression in Owo, Ondo state, Nigeria are not well documented. Furthermore, Nigeria is behind the target of UNAIDS 95-95-95 aspirations despite the decreasing prevalence of HIV. Therefore, this study aimed to determine the level of VLS and its associated factors among PLHIV on ART attending an HIV clinic at Federal Medical Centre, Owo, Nigeria. The knowledge of the level of VLS and the associated factors among PLHIV on ART in Federal Medical Centre, Owo, Nigeria will contribute to the achievement of the third 95 of the UNAIDS goal by 2030 and also inform public health officials of potential risk factors that they need to be verified further and addressed by targeting the high-risk groups for more intense follow-up.

Methodology

Study site

The study was carried out at the HIV infection disease clinic of Federal Medical Centre Owo, Ondo state, Nigeria. Federal Medical Centre (FMC, Owo) is strategically situated along Adekunle Ajasin Way in the ancient Owo township in Owo Local Government Area of Ondo State, Nigeria. According to the 2006 national population census, the population of Owo LGA was 218,886 [16]. The hospital, being the only federal tertiary health institution in Ondo state has annexes in Oka Akoko, Ikaramu Akoko, Ijebu Owo, Emure Ile and Akure. It therefore, serves as a referral centre to many hospitals within and outside Ondo state. The major language is Yoruba language while the major occupation is farming.

The HIV infection disease clinic runs every Tuesday, Wednesday, and Friday. The clinic provides services for the diagnosis, treatment, prevention of HIV, and free counselling and testing. The HIV clinic is divided into units which include the Adult HIV clinic, the Paediatrics HIV clinic, the Prevention of Mother-to-Child Transmission (PMTCT) unit, the Pharmacy unit, and the laboratory. The clinic can accommodate about 100 patients per day. The clinic is run by specialists in their respective fields – medical consultant specialists, pharmacists, laboratory scientists, and nurses.

Study design

The study is a retrospective cross-sectional descriptive study.

Study period

1st September 2009 to 31st August 2024.

Study population

All people living with HIV on ART receiving care at Federal Medical Centre, Owo, Ondo state, Nigeria during the study period.

Ethical clearance/approval

The study was approved by the Health Research Ethics Committee of the Federal Medical Centre, Owo, Ondo state, Nigeria with number FMCOWO/HREC/2024/124.

Study participants and data collection

The source of data was from the database of the HIV clinic obtained from all people living with HIV (PLHIV) enrolled in ART care from 1st September 2009 to 31st August 2024 at FMC Owo, Nigeria. A total of 2,050 clients were registered within this period. The database provided information on socio-demographics, clinical, immunological, virological and other relevant parameters of patients. All clients, both children and adults within the study period were enrolled and considered as the study subjects. VL testing data for samples corresponding to HIV-positive patients who had been on HAART for at least six months was used. Where there was more than one VL result, the most recent (not more than 12 months prior in line with the country’s national guideline for HIV) was used for the data [17]. Data on VL testing results (for plasma) was measured in terms of viral RNA copies/ml of blood. Before 2017, virological monitoring was carried out only in those with clinical suspicion of failure or poor adherence. Following policy changes in the country and an update of National guidelines in 2020, [17] all enrolled patients in the PLHIV had a minimum of yearly viral load monitoring. However, where the viral load was above the threshold of 1,000 copies/ml, intensified adherence counselling was carried out and viral load assays were repeated in three months.

Outcome measures

The primary outcome is virological suppression, defined as having <1,000 copies of viral RNA/ml of blood for plasma, as provided by the National Guideline for Treatment and Control of HIV/AIDS 2020 [17]. The secondary outcome of this study are factors associated with viral load suppression.

Laboratory testing methods

The laboratory analysis was carried out by the Nigerian Centre for Disease Control and Prevention accredited laboratory. For each sample collected from the patients, RNA was extracted and plasma viral load was determined using Polymerase chain reaction (PCR).

Viral Load RT-PCR and CD4 count samples are moved from areas without PCR laboratories (FMC, Owo) to testing laboratories (Obafemi Awolowo University Teaching Hospital Ile-Ife) in the optimized networks and results are returned to FMC, Owo. All the standard-of-care PCR laboratories are linked to the National Laboratory Information Management Systems (LIMS) which is in turn linked to the Nigeria Medical Records System (NMRS) and National Data Repository (NDR) for real-time reporting of patient results into the health facility records and health repository.

For the VL analysis, three millilitres of blood was collected from the peripheral veins of the participants into the EDTA bottle. The blood sample was then centrifuged at 3,000 revs for 5 minutes after which the supernatant was collected using a pipette into a plain bottle and stored at -80°C in a refrigerator until it was transported to Obafemi Awolowo University Teaching Hospital Ile-Ife for VL analysis according to the Nigeria National guideline [17].

Operational definitions

Baseline CD4 count: This is the CD4 count at the commencement of HAART.

Low CD4 count for aged 5 years and above: CD4 count below 100 cells/µl for HIV patients [17,18].

Low CD4 count for aged below 5 years: CD4 count below 200 cells/µl for HIV patients [17,18].

Viral suppression: VL<1,000 copies/mL [17,18].

Adherence to ART treatment: It is categorized as good or poor according to the percentage of drug dosage calculated from a total monthly dose of ART drugs. Good (>95% or <2 doses missed per month), and poor (<95% or >2 doses missed per month) [17].

Data quality assurance: The author extracted the data into a Microsoft Excel spreadsheet and this was verified independently by the data analyst to ensure accuracy and consistency of the data.

Data analysis: Statistical analysis was done using the Statistical Package for Social Science (SPSS) version 23.0 (SPSS for Windows Inc, Chicago LL, USA) statistical software. Continuous variables such as age, VL, and CD4 count were summarized using mean and standard deviation. The proportion of subjects with virological suppression was expressed as a percentage. Categorical variables such as sex and age group were summarized using frequencies and proportions and presented using tables and charts. An Independent sample t-test was used to compare the means of two normally distributed variables. Bivariate analysis was used to determine the factors associated with VLS while multivariate analysis was used to determine the predictor of VLS. The level of significance was set at p-value <0.05.

Results

A total of 2,050 patients were seen during the study period of which females accounted for about two-thirds of the participants (67.8%) and the predominant age group was age 45–64 years which accounted for half (50.8%) of the population while the paediatrics age group were 137 (6.7%) of which the under 5 years were six (0.3%).

The majority (60.6%) of the population were active on ART while 94 (5.4%) were reported dead and seventy-three (4.2%) had discontinued care. The majority (96.4%) had good ART adherence. About half (46.7%) were on ART for more than a decade while only 60 (2.9%) were on ART for less than a year but more than six months. Almost all (99.5%) were on first-line ART. More than four-fifths (88.7%) reside within Ondo state. These can be seen in Table 1.

Table 2 shows the clinical, virological and immunological characteristics of the participants. Two-thirds (66.7%) of the population were in stage 1 of the WHO clinical staging while 353 (17.3%) were in the advanced clinical stage. The majority (91.5%) had suppressed VL and 685 (85.9%) had a normal baseline CD4 count. The VLS among the paediatrics (children and adolescents) patients was 87.1% while among the adults was 91.8%.

Table 1. Sociodemographic and antiretroviral characteristics of participants on ART.

Variable

Frequency (2050)

Percentages

Sex

Males

661

32.2

Females

1,389

67.8

Age (years)

<5

6

0.3

5-9

10

0.5

10-19

121

5.9

20-44

713

34.8

45-64

1,042

50.8

≥65

158

7.7

Current ART status

Active on ART

1,242

60.6

Non-active on ART

808

39.4

ART adherence of active on ART (1272)

Good

1,226

96.4

Poor

46

3.6

Duration on ART (years)

6 months-1 year

60

2.9

1-5

340

16.6

6-10

692

33.8

>10

958

46.7

Regime of ART

 

 

1st line ART

2,039

99.5

2nd line ART

 11

 0.5

Location

Within Ondo state

1,818

88.7

Outside Ondo state

232

 11.3

ART: Antiretroviral Therapy

 

Table 2. Clinical, virological and immunological characteristics of participants on ART.

Variables

Frequency

Percentages

WHO clinical staging (2050)

1

1,368

66.7

2

329

16.0

3

317

15.5

4

36

1.8

Viral load (copy/ml) (1,741)

<1000

1,593

91.5

≥1000

148

8.5

Base line CD4 count (cells/µl) (797)

Normal

685

85.9

Low

112

14.1

WHO: World Health Organization


The factors associated with VLS are shown in Table 3. The participants that had VLS were majorly (69.0%) females and the difference from the males was statistically significant (χ2=6.495; p=0.011). More than half (53.7%) of the participants that were virally suppressed were within the age group 45–64 years while 90 (5.6%) of the participants that had viral suppression were adolescents. All the participants within the age group 0–9 years were virally suppressed. The VLS within the age group was statistically significant (χ2=14.846; p=0.011). About three-quarters (73.6%) of participants that had VLS were active on ART while 26.4% of the unsuppressed VL were active on ART and the difference was statistically significant (χ2=143.131; p=0.000). Among the non-active participants, 73 (17.4%) of them who were virally suppressed and 21 (19.3%) of those who had VL unsuppressed died. Among the participants who were active on ART, VLS was observed among 96.4% of those who had good adherence (χ2=4.607; p=0.032).

Table 3. The factors associated with viral load suppression among the participants on ART.

Variables

Viral load

suppressed (%)

Viral load

unsuppressed (%)

Statistical test (χ2)

P value

Sex

Males

494 (31.0)

61 (41.2)

6.495

0.011

Females

1,099 (69.0)

87 (58.8)

 

 

Age (years)

<5

5 (0.3)

0 (0.0)

14.846*

0.011

5-9

10 (0.6)

0 (0.0)

 

 

10-19

90 (5.6)

17 (11.5)

 

 

20-44

506 (31.8)

58 (39.2)

 

 

45-64

856 (53.7)

62 (41.9)

 

 

≥65

126 (7.9)

11 (7.4)

 

 

Current ART status

Active

1,173 (73.6)

39 (26.4)

143.131

0.000

Non-active

420 (26.4)

109 (73.6)

 

 

ART adherence of active on ART

Good

1,131 (96.4)

95 (89.7)

4.607

0.032

Poor

42 (3.6)

4 (10.3)

 

 

Duration on ART (years)

6 months–1year

23 (1.4)

1 (0.7)

3.255*

0.354

1–5

249 (15.6)

19 (12.8)

 

 

6–10

520 (32.6)

58 (39.2)

 

 

>10

801 (50.3)

70 (47.3)

 

 

Regime of ART

1st line ART

1,583 (99.4)

147 (99.3)

0.005*

0.944

2nd line ART

10 (0.6)

1 (0.7)

 

 

WHO clinical staging

1

1,064 (66.8)

100 (67.6)

2.036*

0.565

2

256 (16.1)

24 (16.2)

 

 

3

251 (15.8)

20 (13.5)

 

 

4

22 (1.4)

4 (2.7)

 

 

Location

Within Ondo state

1,434 (90.0)

126 (85.1)

3.467

0.063

Outside Ondo state

159 (10.0)

22 (14.9)

 

 

Base line CD4 count (cells/µl)

 

 

 

 

Normal

539 (88.8)

38 (76.0)

7.075

0.008

Low

68 (11.2)

12 (24.0)

 

 

Mean (SD) of viral load (copy/ml)

36.7 (76.4)

217,128.7 (548,539.3)

-15.840t

0.000

Median viral load (IQR)

19.0 (19.0–19.0)

48,800.0 (8,928.5–193,399.8

 

 

* = Fischer exact test

t = Independent student t test


Half (50.3%) of the subjects that were virally suppressed had been on the ART for more than a decade while 1.4% of the virally suppressed participants had been on ART between 6 months and one year, the difference was not statistically significant (χ2=3.255; p=0.354). Almost all (99.4%) of the participants with suppressed VL were on first-line ART regimen, there was however no statistically significant difference from those on second-line ART regimen (χ2=0.005; p=0.944). Two-thirds (66.8%) of the participants that had VLS were in WHO clinical stage 1 while 1.4% were in WHO clinical stage 4. The difference was not statistically significant (χ2=2.036; p=0.565). More (88.8%) of the participants with suppressed VL had a normal baseline CD4 count while 12 (24.0%) with unsuppressed VL had a low baseline CD4 count and the difference was statistically significant (χ2=7.075; p=0.008).

The mean VL was 18,491.4 (170,553.1) cp/ml with a median of 19.0 (19.0–30.0) and a range of 0–4,979,399 cp/ml among the study population. The mean viral load among subjects that were suppressed was 36.7 (76.4) cp/ml and median of 19.0 (19.0–19.0) cp/ml with a range of 19–896 cp/ml while among the unsuppressed, the mean viral load was 217,128.7 (548,539.3) cp/ml and the median was 48,800.00 (8,928.5–193,399.8) cp/ml with range of 1030–4,979,399 cp/ml. The difference in the mean between the suppressed VL and unsuppressed VL was statistically significant (t=-15.840; p=0.000).

The predictors of VLS among the participants were sex, current ART status, ART adherence, and baseline CD4 count. The females were 1.7 times more likely to have VLS than the males (OR=1.653; p=0.006; 95%CI=1.157–2.360). The participants who were active on ART were eight times more likely to have suppressed VL than those who were not active on ART (OR=7.806; p=0.000; 95%CI=5.326–11.441). Of those who were active on ART, participants with good adherence to ART were thrice more likely to have suppressed VL than those with poor adherence (OR=3.078; p=0.041; 95%CI=1.046–9.056). The subjects who had a normal baseline CD4 count were 2.6 more likely to have a suppressed VL than those with a low baseline CD4 count (OR=2.569; p=0.012; 95%CI=1.248–5.022). This is shown in Table 4.

Table 4. Predictors of viral load suppression among participants on ART.

Variables

Odds ratio

P-value

95% Confidence interval

 

Lower

Upper

Sex

Male

1

 

 

 

Female

1.653

0.006

1.157

2.360

Age (years)

<5

1

 

 

 

5–9

0.000

0.999

0.000

0.000

10–19

0.000

0.999

0.000

0.000

20–44

2.081

0.076

0.927

4.669

45–64

1.477

0.262

0.748

2.919

≥65

0.851

0.636

0.435

1.662

Current ART status

Non-active

1

 

 

 

Active

7.806

0.000

5.326

11.441

ART adherence of active on ART

Poor

1

 

 

 

Good

3.078

0.041

1.046

9.056

Base line CD4 count (cells/µl)

Low

1

 

 

 

Normal

2.569

0.012

1.248

5.022

Discussion

This present study sets out to determine the prevalence of VLS and its associated factors among PLHIV in Owo, Ondo state, Southwest Nigeria. Two thousand and fifty people were recruited. The majority of the patients in this study were females in keeping with Africa [19–21] and the global trends [2]. These are attributed to various factors such as the females’ physiologic vulnerability and gender inequalities at the individual, socio-cultural, economic, and systemic levels [19]. The increased prevalence of HIV among females could be due to Female Genital Mutilation, unequal power dynamics in the negotiation of safer sex and lack of economic empowerment [19,21].

A higher percentage of the adult population was living with HIV than the children in this present study. This is similar to findings in other national surveys [22,23], the Centre for Disease Control (CDC) in the USA [23] and the WHO summary of the global HIV epidemic, 2023 [2]. This is not surprising as adults engaged in sexual activities (a major mode of transmission) more than children and it is known that most infections in children occur via vertical transmission [24,25].

The present study revealed that 91.5% of the participants had their VL suppressed, although, the VLS among the paediatrics (children and adolescents) patients was 87.1% which was lower than the adults (91.8%). The overall VLS in this present study was higher than what was reported in Kenya (88.3%) [26] and Ghana (66.7%) [27]. The present study also reported a higher VLS than the global study which showed a VLS among adults as 72% while among children it was 46% [2,28]. However, it was lower than what was reported in Namibia (94.4%) [29]. The differences in the reported VLS could be due to the different settings in which the study was done. It could also be due to the concerted effort of our institution to ensure drug adherence and clinic compliance.

The predictors of VLS in this present study were sex, current ART status, ART adherence, and baseline CD4 count. In this study, the females were more likely to have VLS than the males which was similar to other studies where the females had more VLS than the males [20,30]. In contrast, other studies found being female was a significant factor in viral non-suppression [31,32]. While in other surveys, gender did not affect VLS [33,34].

Being active on ART was another predictor of viral suppression in our study. This correlates with other findings of a positive association between ART and viral suppression [20,35–37]. The WHO has stated that consistent use of ART can lead to undetectable levels of the virus and stop the progression of the disease [28,38]. Effective ART also prevents onward transmission of HIV [38]. Therefore, the WHO has recommended early initiation of ART for all people with HIV [38]. Our study findings are thus not surprising. Similarly, participants on ART with good adherence were thrice more likely to have suppressed VL than those with poor adherence. A study done by Silveira in Brazil revealed that of all the factors that had positive associations with VLS, treatment adherence had the largest effect [39]. Similarly, a retrospective cohort study in Uganda revealed that adherence was a predictor of VLS in the district [40]. A study in Ethiopia, reported that poor adherence was a risk factor for unsuppressed VL [41]. As earlier stated, a major goal of ART is to achieve undetectable viral levels and individual behavioural factors such as good adherence are key to achieving that. The more the adherence, the more the virus is exposed and likely to be susceptible to the effects of the antiretroviral drugs.

The baseline CD4 count of subjects in this study was another significant predictor of VLS. It has been known that there is an inverse relationship between the CD4 count and the VL and that the loss of CD4 cells results in the inability to mount a proper immune response [15,20]. So, patients with normal baseline CD4 count will likely have the ability to have adequate immune response to the virus and with the use of ART, achieve VLS. Our finding was consistent with some other results that patients with higher CD4 counts are likely to achieve VLS and vice versa [15,20,30,40].

The limitation of this study is the limited availability of the paediatrics age group data.

In conclusion, the overall prevalence rate of VLS is high, but still suboptimal to the 95-95-95 target set by the UNAIDS for 2030. The significant predictors of VLS found in this study were sex, current ART status, ART adherence and baseline CD4 count. We recommend that concerted efforts be made in combating the disease with a focus on the predictors.

Acknowledgement

The authors acknowledge the contributions of Mr. Ogunbodede Tolulope Samuel who analysed the data.

Financial Support

There was no financial support of any kind either in grants, equipment, or otherwise.

Conflict of Interest

The authors declared that there are no conflicts of interest.

References

1. GBD 2015 HIV Collaborators. Estimates of global, regional, and national incidence, prevalence, and mortality of HIV, 1980-2015: the Global Burden of Disease Study 2015. Lancet HIV. 2016 Aug;3(8):e361–87.

2. World Health Organization. HIV/AIDS. Geneva: World Health Organization; 2024. Available at https://www.who.int/data/gho/data/themes/hiv-aids. Accessed 1 Nov 2024.

3. Onovo AA, Adeyemi A, Onime D, Kalnoky M, Kagniniwa B, Dessie M, et al. Estimation of HIV prevalence and burden in Nigeria: a Bayesian predictive modelling study. EClinicalMedicine. 2023 Jul 20;62:102098.

4. UNAIDS. 2025 AIDS targets. Ending AIDS epidemic by 2030. Geneva: Joint United Nations Programme on HIV/AIDS. World AIDS Day Report 2020. 2021; pp. 42–68. Available at https://doi.org/10.18356/9789210055475c005

5. UNAIDS. Understanding fast-track targets. Accelerating action to end the AIDS epidemic by 2030. Geneva: Joint United Nations Programme on HIV/AIDS. UNAIDS. 2015; p. 12.

6. United Nations Program on HIV/AIDS (UNAIDS). 2019. Start free stay free AIDS. Available at https://www.unaids.org/sites/default/files/media_asset/20190722_UNAIDS_SFSFAF_2019_en.pdf. Free Press. Accessed 2 Nov 2024.

7. World Health Organization. Consolidated Guidelines on HIV Prevention, Testing, Treatment, Service Delivery and Monitoring: Recommendations for a Public Health Approach [Internet]. Geneva: World Health Organization; 2021.

8. UNAIDS. The 90–90–90 Ambitious Treatment Target to Help End AIDS Epidemic. Available at https://www.unaids.org/sites/default/files/media_asset/90-90-90_en.pdf. Accessed 2 Nov 2024

9. National Agency for the Control of AIDS (NACA). Nigeria HIV/AIDS Indicator and Impact Survey March 2019. Available at https://naca.gov.ng/wpcontent/uploads/2019/03/NAIIS-North-west. Accessed 1 Nov 2024.

10. Ali JH, Yirtaw TG. Time to viral load suppression and its associated factors in cohort of patients taking antiretroviral treatment in East Shewa zone, Oromiya, Ethiopia, 2018. BMC Infect Dis. 2019 Dec 27;19(1):1084.

11. World Health Organization. Consolidated Guidelines on the Use of Antiretroviral Drugs for Treating and Preventing HIV Infection Recommendations for a Public Health Approach. 2nd ed. Geneva: World Health Organization; 2016. Available at https://www.who.int/hiv/pub/arv/arv-2016/en/. Accessed 2 Nov 2024.

12. World Health Organization. What’s New in Treatment Monitoring: Viral Load and CD4 Testing. WHO-HIV-2017 Update. Geneva: World Health Organization; 2017. https://www.who.int/publications/i/item/WHO-HIV-2017.22. Accessed 2 Nov 2024.

13. World Health Organization. Consolidated guidelines on the use of antiretroviral drugs for treating and preventing HIV infection: recommendations for a public health approach, 2nd ed. Geneva: World Health Organization; 2016. Available at https://iris.who.int/handle/10665/208825. Accessed 3 Nov 2024.

14. Bulage L, Ssewanyana I, Nankabirwa V, Nsubuga F, Kihembo C, Pande G, et al. Factors Associated with Virological Non-suppression among HIV-Positive Patients on Antiretroviral Therapy in Uganda, August 2014-July 2015. BMC Infect Dis. 2017 May 3;17(1):326.

15. Jobanputra K, Parker LA, Azih C, Okello V, Maphalala G, Kershberger B, et al. Factors associated with virological failure and suppression after enhanced adherence counselling, in children, adolescents and adults on antiretroviral therapy for HIV in Swaziland. PLoS One. 2015 Feb 19;10(2):e0116144.

16. Olugbamila OB, Omole FK, Omosulu SB, Soyinka OA, Odeyale TO, Olufayo O AO. Marketing the tourism potentials of Owo community for the development of Ondo State, Nigeria. Res Human Soc Sci. 2012;2(11):83-93.

17. The National Guidelines for HIV prevention, treatment and care. National AIDS and STIs control programme Federal Ministry of Health, Nigeria 2020. Available at https://www.prepwatch.org/wp-content/uploads/2017/08/nigeria_national_guidelines_2016.pdf. Accessed 3 Nov 2024.

18. Harris NS, Johnson AS, Huang YA, Kern D, Fulton P, Smith DK, et al. Vital Signs: Status of Human Immunodeficiency Virus Testing, Viral Suppression, and HIV Preexposure Prophylaxis - United States, 2013-2018. MMWR Morb Mortal Wkly Rep. 2019 Dec 6;68(48):1117–23.

19. Gender equality, women’s empowerment (GEWE) and HIV in Africa: The impact of intersecting issues and key continental priorities. Available at https://au.int/sites/default/files/documents/41625-doc-AU_GEWE_Advocacy_Brief_ENGLISH_Final.pdf. Accessed 16 Jan 2025.

20. Muhie NS. Predictors for viral load suppression among HIV positive adults under ART treatment in University of Gondar Comprehensive Specialized Hospital: retrospective cohort study. Sci Rep. 2024 Feb 8;14(1):3258–67.

21. UN Women. HIV and AIDS. Available at https://www.unwomen.org/en/what-we-do/hiv-and-aids. Accessed 16 Jan 2025.

22. National Agency for the Control of AIDS (NACA). Nigeria Prevalence Rate. Available at https://naca.gov.ng/nigeria-prevalence-rate/ Accessed 16 Jan 2025.

23. Nigeria: number of people with HIV | Statista. Available at https://www.statista.com/statistics/1128675/people-living-with-hiv-receiving-treatment-in-nigeria/. Accessed 17 Jan 2025

24. Centers for Disease Prevention and Control (CDC). Fast Facts: HIV in the US by Age. Available at https://www.restoredcdc.org/www.cdc.gov/hiv/data-research/facts-stats/age.html. Accessed 16 Jan 2025.

25. Weinberg GA. Human Immunodeficiency Virus (HIV) Infection in Children and Adolescents. Available at https://www.msdmanuals.com/home/children-s-health-issues/human-immunodeficiency-virus-hiv-infection-in-children/human-immunodeficiency-virus-hiv-infection-in-children-and-adolescents. Accessed 17 Jan 2025.

26. Boakye P, Safowaa A. Prevalence and predictors of viral load suppression in adults living with HIV in the western region of Ghana: A cross-sectional study. AIMS Public Health. 2023 May 25;10(2):469–79.

27. Kyere GA, Vechey GA, Charles-Unadike VO, Tarkang EE. Trends in viral load suppression among HIV patients on antiretroviral therapy (ART) at Asante Mampong Municipal Hospital, Ghana: 2019-2023. BMC Infect Dis. 2024 Oct 16;24(1):1170–80.

28. The World Health Organization. New WHO guidance on HIV viral suppression and scientific updates released at IAS 2023. Geneva: World Health Organization; 2023. Available at https://www.who.int/news/item/23-07-2023-new-who-guidance-on-hiv-viral-suppression-and-scientific-updates-released-at-ias-2023. Accessed 18 Jan 2025.

29. Lecher SL. HIV viral load monitoring among patients receiving antiretroviral therapy-eight sub-Saharan Africa countries, 2013-2018. MMWR. Morbidity and mortality weekly report. 2021; 70:1117–22.

30. Desta AA, Woldearegay TW, Futwi N, Gebrehiwot GT, Gebru GG, Berhe AA, et al. HIV virological non-suppression and factors associated with non-suppression among adolescents and adults on antiretroviral therapy in northern Ethiopia: a retrospective study. BMC Infect Dis. 2020 Jan 2;20(1):4

31. Haider MR, Brown MJ, Harrison S, Yang X, Ingram L, Bhochhibhoya A, et al. Sociodemographic factors affecting viral load suppression among people living with HIV in South Carolina. AIDS Care. 2021 Mar;33(3):290–8.

32. Afrane AKA, Goka BQ, Renner L, Yawson AE, Alhassan Y, Owiafe SN, et al. HIV virological non-suppression and its associated factors in children on antiretroviral therapy at a major treatment centre in Southern Ghana: a cross-sectional study. BMC Infect Dis. 2021 Aug 2;21(1):731.

33. Rangarajan S, Donn JC, Giang le T, Bui DD, Hung Nguyen H, Tou PB, et al. Factors associated with HIV viral load suppression on antiretroviral therapy in Vietnam. J Virus Erad. 2016 Apr 1;2(2):94–101.

34. Conan N, Badawi M, Chihana ML, Wanjala S, Kingwara L, Mambula C, et al. Two-fold increase in the HIV viral load suppression rate along with decreased incidence over six years in Ndhiwa sub-county, Kenya. Trop Med Int Health. 2021 Dec;26(12):1609–15.

35. Anyaike C, Atoyebi OA, Musa OI, Bolarinwa OA, Durowade KA, Ogundiran A, et al. Adherence to combined Antiretroviral therapy (cART) among people living with HIV/AIDS in a Tertiary Hospital in Ilorin, Nigeria. Pan Afr Med J. 2019 Jan 7;32:10:21.

36. Jean Louis F, Buteau J, François K, Hulland E, Domerçant JW, Yang C, et al. Virologic outcome among patients receiving antiretroviral therapy at five hospitals in Haiti. PLoS One. 2018 Jan 30;13(1):e0192077.

37. Cohen MS, Chen YQ, McCauley M, Gamble T, Hosseinipour MC, Kumarasamy N, et al. HPTN 052 Study Team. Prevention of HIV-1 infection with early antiretroviral therapy. N Engl J Med. 2011 Aug 11;365(6):493–505.

38. World Health Organization (WHO). Treatment and care in adults. Geneva: World Health Organization. Available at https://www.who.int/teams/global-hiv-hepatitis-and-stis-programmes/hiv/treatment/hiv-treatment-for-adults. Accessed 17 Jan 2025.

39. Silveira MP, Draschler Mde L, Leite JC, Pinheiro CA, da Silveira VL. Predictors of undetectable plasma viral load in HIV-positive adults receiving antiretroviral therapy in Southern Brazil. Braz J Infect Dis. 2002 Aug;6(4):164–71.

40. Wakooko P, Gavamukulya Y, Wandabwa JN. Viral load Suppression and Associated Factors among HIV Patients on Antiretroviral Treatment in Bulambuli District, Eastern Uganda: A Retrospective Cohort Study. Infect Dis (Auckl). 2020 Nov 5;13:1178633720970632.

41. Waju B, Dube L, Ahmed M, Assefa SS. Unsuppressed Viral Load Level in Public Health Facilities: Nonvirological Predictors among Adult Antiretroviral Therapy Users in Southwestern Ethiopia. HIV AIDS (Auckl). 2021 May 14;13:513–26.

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