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Epidemiology of HIV/AIDS and Opportunistic Infections Among Adult
Patients in Imo State, Nigeria
1
Okpara, P. O.
2
Uzum, D. S.,
1
Eberendu, I. F.
1
Ozims, S. J and
1
Nwoke, B. E. B
1
Department of Public Health, Imo State University, Oweri, Nigeria
2
Department of Biological Sciences, Dennis Osadebay University, Asaba, Nigeria
DOI:
https://doi.org/10.51244/IJRSI.2025.1215PH000177
Received: 02 October 2025; Accepted: 10 October 2025; Published: 05 November 2025
ABSTRACT
This work is designed to determine the epidemiology of HIV/AIDS and opportunistic infections among adult
patients in Imo State. The study was with analytical cross sectional survey design with five research questions
and three hypotheses. The population of this study comprised of 67,527 adults on ART treatment facilities in
Imo State. The sample size for the study was determined using sample size formula by Taro Yamane based on
finite population proportion, and 95%confidence level. Questionnaire was used for data collection and the
instrument was validated by the supervisors for face validity and was also submitted to experts in the field of
HIV/AIDS epidemiology, opportunistic and co-opportunistic infections in the hospital and community settings
for consensus validity. Data was analysed using statistical analysis to answer research questions and Chi-Square
(x2) inferential statistics at 0.05 level of significance was used to test the study hypotheses. Findings showed
that among the 2,470 HIV/AIDS patients, 13.4% had pulmonary tuberculosis, 7.2% had salmonellosis, 4.1% had
herpes simplex 2,7.9% had pneumococcal pneumonia, 4.6% had herpes zoster, 9.0%had herpes simplex 1, 3.1%
had molluscum contagiosum, 4.0%mycobacterium avium complex, 2.3% pneumocystis pneumonia and the
highest (30.4%) was oral thrush (oropharyngeal candidiasis).Based on the Pearson chi-square test of association
between socio-demographic profiles, socio-economic status, and HIV/AIDS opportunistic infections among the
study participants, the following conclusions were made: there is a significant association between socio-
demographic profiles and all the HIV/AIDS opportunistic infections among the study participants; there is a
significant association between socio-economic status and some of the HIV/AIDS opportunistic infections
among the study participants and therefore recommends the need for the development of HIV/AIDS-
opportunistic infections preventive programs in Imo State.
Keywords: epidemiology, HIV, AIDS, infection, opportunistic, adult, patients
INTRODUCTION
Opportunistic infections are infections which occur more frequently and severely among persons with weakened
immune systems, including people living with HIV (Centers for Disease Control and Prevention, 2018). World
Health Organization (2019) stated that all HIV-infected persons are vulnerable to develop a wide range of
opportunistic infections, but the prevalence and incidence of HIV-associated opportunistic infections vary
widely (Kharsany and Karim, 2016; Low et al. 2016). The first case of AIDS was reported in Nigeria 1986 and
since then, national HIV prevalence has increased exponentially from 1.8% in 1991 peaking at 5.8% in 2001 and
progressively declining since then to the current figure of 3.1% in 2014 (ANC Survey Report, 2014). As at 2014
Nigeria has the second highest burden of HIV globally with 3.4 million people living with HIV. There is a
considerable regional state variation in HIV prevalence in the country; ranging from 1% in Kebbi State to 12.7%
in Benue State. Partners in the global AIDS response have intensively supported our government and institutions
over the past two decades to scale-up prevention, treatment, care and support. Still, HIV/AIDS remains a leading
cause of the burden of disease and a significant public health menace for our country. Much more is needed in
other to achieve our shared goal of ending AIDS as a public health menace. An AIDS-free Nigeria remains our
goal, with zero new infections, zero AIDS-related discrimination and stigma. The goal can be achieved by fast-
tracking the national response towards ending AIDS in Nigeria. (Aliyu and Ogungbemi, 2021)
In Nigeria despite a relatively well-funded and functioning National Control Programme, opportunistic
infections has remained a pressing public health problem. The disease burden posed by opportunistic infections
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in Nigeria is considerable high and the epidemic continues unabated, much of it fuelled by the high HIV
prevalence in the region. Nigeria is currently ranked among high burden countries with an estimated 0.40 million
-0.59 million incident cases in 2010, outranked by only India and China (World Health Organization, 2011).
Whilst all of the high burden countries have demonstrated declines or stabilization in their incident rates, Nigeria
has shown an increasing trend in incident rate with the latest annual incidence estimated to be 1170 per 100 000
persons. The importance of HIV Infection as a risk factor is understood by the latest estimate of a 60% HIV
prevalence among incident opportunistic infections cases in Nigeria, relative to a general population HIV
prevalence of 9.6 (Federal Ministry of Health, 2018).
Opportunistic infections are the leading causes of morbidity and mortality among HIV-infected children
contributing to 94.1% of HIV-related deaths (Candiani et al., 2007; Haileamlak et al., 2017; Mermin et al.,
2008). Unless opportunistic infections are treated as early as possible, they markedly affect the treatment
outcomes of PLHIV leading to poor quality of life, hastening disease progression, increasing medical costs,
potentiating the risk of treatment failure, and impairing patient’s response to antiretroviral therapy (ART) drugs
(Sisay et al., 2018). In low- and middle-income countries such as Nigeria, the most frequently occurring
opportunistic infections are tuberculosis (TB), oral candidiasis, varicella zoster, pneumocystis pneumonia,
bacterial pneumonia, herpes zoster, and dermatophyte infections (Gona et al. 2006). Despite the dramatic decline
in the incidence opportunistic infections after the introduction highly active antiretroviral therapy (HAART),
they remain a major cause of morbidity and mortality among these vulnerable populations (Prasitsuebsai et al.,
2014). However, for better interventions, information regarding the patterns and occurrences of opportunistic
infections is very essential to reduce mortality in HIV/AIDS-opportunistic infections patients in Imo State hence
this study.
Objectives of the study
The broad objective is to examine the determinants of HIV/AIDS- opportunistic infections among adult patients
in ART treatment facilities in Imo State, Nigeria. The specific objectives were to
To determine the socio-demographic profile of adult patients with HIV/AIDS associated opportunistic
infections attending the ART treatment facilities in Imo State.
To determine the prevalence of HIV/AIDS associated opportunistic infections among adults attending
ART treatment facilities in Imo State.
To determine the association between socio-demographic profile and HIV/AIDS- opportunistic
infections among adult patients in ART treatment facilities in Imo State.
METHODOLOGY
The study was carried out in Imo State, Nigeria. Imo state is one of the 36 states of Nigeria. It is located in the
south eastern region of the country, specifically between the lower River Niger and the upper Imo River. It is
inhabited mainly by the Igbo ethnic group whose occupation is agriculture and trading. Owerri is the capital of
the state and also its major city. Other cities in the state including Orlu, Okigwe, Mbaise, Oguta, Mbano and
Obowo. The state lies within latitudes 4
o
45’N and 7
o
15’N, and longitude 6
o
50’E and 7
o
25’E with an area of
around 5, 100 sq km. Christianity is the predominant religion. Igbo language is the predominant language and
English language is the official language of communication. The population of Imo State is about 3,927, 563
according to 2006 population census (NBS, 2007).
Population of the study
The population of this study comprised of 67,527 adults on ART treatment facilities in Imo State.
Sample size determination
The sample size for the study was determined using sample size formula by Taro Yamane based on finite
population proportion, and 95% confidence level (Yamane, 1973).
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The Taro Yamane formula is:
n = N/1+N(e)
2
Where
n = Sample size required
N = Number of adults on ART treatment facilities in Imo State i.e. 67,527
e = Margin of error (5% or 0.05)
Substituting in the formula;
n = 67527/1+67527(0.05)
2
= 67527/1+67527(0.0025)
= 67527/1+168.8175
= 67527/169.8175
= 397.645 ≈ 398
In other to improve the precision of the study the calculated sample size was adjusted with an allowance of 4%
(0.04) using the formula:
n
adj
= n/1-0.04
= n/0.96
= 3.98/0.96
= 414.5 ≈ 415
The calculation sample size of 415 was used for each of the six study centre given a total sample size of (415 x
6 = 2490). The six study sites were: Imo State Specialist Hospital, Umuguma; General Hospital, Okigwe; St.
Damian Hospital, Okporo; General Hospital, Aboh Mbaise, General Hospital, Awo-Omamma and Joint
Hospital, Mbano.
Sampling technique
Multi-stage sampling technique was used in the selection of the respondents
Stage 1: This involed the purposive selection of the three senatorial zones namely; Owerri, Okigwe and Orlu
Stage 2: This involved a Simple random sampling technique by balloting was used to select one urban treatment
facility from each of the three senatorial zones. Imo State Specialist Hospital, Umuguma was selected in Owerri
Zone, St. Damian’s Hospital, Okporo Orlu from Orlu zone and General Hospital, Okigwe from Okigwe zone.
Selection of rural ART facilities was also done by simple random technique using balloting methods to select
one treatment facility from each of the three senatorial zones. General Hospital Aboh Mbaise was selected from
Owerri zone, General Hospital Awo-Omamma was selected from Orlu zone and Joint Hospital Mbano selected
from Okigwe zone.
Stage 3: (Selection of Participants). The first participants for the study were selected by consecutive sampling
method based on the patients living with HIV/AIDS who presented at each of the six study centres, who met the
inclusion criteria and gave consent for the study. These participants were recruited into the study until the sample
size of 2470 was reached.
Instrument for data collection
Questionnaire was the major instrument for data collection. The instrument contained both closed ended and
open-ended questions design to elicit information on HIV/AIDS- opportunistic infections among adult patients
in ART treatment facilities. The questionnaire was made up of two sections. The first section was designed to
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gather information on the socio-demographic characteristics of the respondents while the second section was
designed to gather information on HIV/AIDS- opportunistic infections among adult patients in ART treatment
facilities.
Validation and reliability of research instrument of instrument
Face validity was adopted in the study. The data gathering instrument was sent to experts in the field of public
health for criticisms, corrections and possible suggestion. The reliability of the instrument was done using the
test re-test method with a reliability coefficient of 0.82 indicating a good measure of reliability (Onyemekonwu,
et al., (2019).
RESULT
Socio-demographic profile of the respondents
The socio-demographic profile of the respondents are presented in Table 1 below. The result are presented and
discusses as follows:
Age Distribution:
Age groups were divided into ranges (e.g., 18-25, 26-35, 36-45, etc.), with the most populous age category
identified. This helps in understanding whether certain age groups are more vulnerable to opportunistic
infections.
Statistical measures, including mean and standard deviation, are provided to offer additional insights into the
age-related data.
Gender Distribution: The proportion of male and female participants is presented, highlighting any gender
disparities in the sample. Chi-square tests can show if gender is significantly associated with the prevalence of
opportunistic infections.
Marital Status: Marital status (single, married, divorced, or widowed) is explored, with frequency distributions
showing how these categories compare. Any patterns indicating higher vulnerability among specific marital
statuses are noted.
Educational Level: Educational attainment, categorized by levels (e.g., primary, secondary, tertiary), is
analyzed. Differences in educational levels among participants with and without opportunistic infections may
indicate knowledge gaps that affect health outcomes.
Employment Status: Employment types (e.g., employed, unemployed, self-employed) and income brackets are
examined to assess the potential impact of economic stability on health outcomes. The socio-economic
implications of employment status in relation to HIV care and susceptibility to infections are discussed.
Table 1: Distribution for Socio-demographical Profile of the Study Participants
Socio Demographics
Number
Percent (%)
Age(years)
18 25
295
11.9
26 33
480
19.4
34 41
510
20.6
42 49
560
22.7
50 60
625
25.3
Total
2470
100
Sex
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Male
1040
42.1
Female
1430
57.9
Total
2470
100
Education Status
None
360
14.6
Primary
430
17.4
Secondary
970
39.3
Post Secondary
710
28.7
Total
2470
100
Socio-economic status
Lowest quintiles
920
37.2
2
nd
Lowest quintiles
630
25.5
Middle quintiles
504
20.4
2
nd
highest quintile
306
12.4
Highest quintile
110
4.5
Total
2470
100
ART Location
Urban
1650
66.8
Rural
820
33.2
Total
2470
100
Years of HIV
Less than 5 Years
977
39.6
5 9 years
815
33.0
10 years and above
678
27.4
Total
2470
100
Infection Co-occurrence: The co-occurrence of multiple infections (e.g., tuberculosis and candidiasis in the
same individuals) is explored. This is particularly relevant for understanding the compounded health impacts on
individuals facing multiple infections simultaneously.
Figure 4.2: Overall Prevalence of HIV/AIDS Opportunistic Infections among HIV/AIDS Patients studied
Present of
Opportunisti
c Infection
(OI),
1228
(49.7%)
Non present
of
Opportunisti
c Infection
(OI),
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Association between socio-demographic profile and most common HIV/AIDS- opportunistic infections in
the study area
Socio Demographics
Total
Oral Thrush
Tuberclosis (TB)
Herpes Simplex I
Yes
%
No
%
Yes
%
No
%
Yes
%
No
%
Age(years)
18 25
295
95
32.2
200
67.8
45
15.3
250
84.7
33
11.2
262
88.8
26 33
480
150
31.3
330
68.8
60
12.5
420
87.5
43
9.0
437
91.0
34 41
510
170
33.3
340
66.7
72
14.1
438
85.9
46
9.0
464
91.0
42 49
560
165
29.5
395
70.5
84
15.0
476
85.0
47
8.4
513
91.6
50 60
625
170
27.2
455
72.8
69
11.0
556
89.0
53
8.5
572
91.5
Total
2470
750
30.4
1720
69.6
330
13.4
2140
86.6
222
9.0
2248
91.0
Statistical Test
P= 0.203, χ
2
= 5.950
P= 0.224, χ
2
= 5.68
P= 0.702, χ
2
= 2.184
Sex
Male
1040
295
28.4
745
71.6
126
12.1
914
87.9
98
9.4
942
90.6
Female
1430
455
31.8
975
68.2
204
14.3
1226
85.7
124
8.7
1306
91.3
Total
2470
750
30.4
1720
69.6
330
13.4
2140
86.6
222
9.0
2248
91.0
Statistical Test
P= 0.065, χ
2
= 3.395
P= 0.121, χ
2
= 2.405
P= 0.519, χ
2
= 0.416
Table 4.5 Continued
Socio Demographics
Total
Oral Thrush
Tuberclosis (TB)
Herpes Simplex I
Yes
%
No
%
Yes
%
No
%
Yes
%
No
%
Education Status
None
360
125
34.7
235
65.3
56
15.6
304
56
37
10.3
323
89.7
Primary
430
146
34.0
284
66.0
65
15.1
365
65
42
9.8
388
90.2
Secondary
970
279
28.8
691
71.2
116
12.0
854
116
88
9.1
882
90.9
Post-Secondary
710
200
28.2
510
71.8
93
13.1
617
93
55
7.7
655
92.3
Total
2470
750
30.4
1720
69.6
330
13.4
2140
330
222
9.0
2248
91.0
Statistical Test
P= 0.034, χ
2
= 8.65
P= 0.198, χ
2
= 4.661
P= 0.494, χ
2
= 2.396
ART Location
Urban
1650
433
26.2
1217
73.8
195
11.8
1455
88.2
131
7.9
1519
92.1
Rural
820
317
38.7
503
61.3
135
16.5
685
83.5
91
11.1
729
88.9
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Total
2470
750
30.4
1720
69.6
330
13.4
2140
86.6
222
9.0
2248
91.0
Statistical Test
P= 0.000, χ
2
= 39.94
P= 0.001, χ
2
= 10.21
P= 0.010, χ
2
= 6.679
Years of HIV
Less than 5 Years
977
231
23.6
746
76.4
102
10.4
875
89.6
49
5.0
928
95.0
5 -9 years
815
232
28.5
583
71.5
110
13.5
705
86.5
78
9.6
737
90.4
10 years and above
678
287
42.3
391
57.7
118
17.4
560
82.6
95
14.0
583
86.0
Total
2470
750
30.4
1720
69.6
330
13.4
2140
86.6
222
9.0
2248
91.0
DISCUSSIONS
Prevalence of HIV/AIDS Opportunistic Infections
The present study found the overall prevalence of HIV/AIDS Opportunistic Infections as 49.7%. The rate is
quite high, possible reason for this high prevalence may be linked to poor and late initiation to anti retroviral
therapy (ART) and consequently lowering of CD4 counts. ART initiation has been reported to be associated
with a reduced incidence of opportunistic infections,
The rate found in this study within range to 46.6% reported among adults in Ibadan Nigeria (Akinyemi et al.,
2017), but higher than 22% in Port Harcourt Nigeria (Okonko et al., 2020). It is higher than 43.97% [95% CI
(38.59, 49.34)] reported in a pooled prevalence in among ART receiving adults in Ethopia (Woldegeorgis et al.,
2023). It is also higher than 33.1% (95% CI = 34.644.1) found in a current study in Ghana among newly
diagnosed HIV patients (Puplampu et al., 2024). The findings in the current study are rather lower than overall
prevalence of 55.3% reported in Tigray Ethopia (Woldegeorgis et al., 2023), 57.9% reported in Gabon (Mouinga-
Ondeme et al., 2024) and 78.8% in found in a study in Kenya (Chepkondo et al., 2020). It therefore implies that
variations in prevalence calls for more studies for better understanding of the risk factors associated with the
onset of the opportunistic infections
Prevalence for commonest opportunistic Infections in the study area
Many opportunistic infections were found prevailing in the study area, but the three most common were oro-
pharygenal candidiasis or oral thrush (30.4%), pulmonary tuberculosis (13.4%) and Herpes Simplex 1 (9.0%).
Most other studies also found one or more of the first three most common OIs found in this study as commonest
OI among HIV patients. For instance, in Ibadan South Western Nigerian study (Akinyemi et al., 2017), the
commonest opportunistic infections (OIs) were: oral candidiasis (27.6%), chronic diarrhoea (23.5%) and
peripheral neuropathy (14.8%). Also, a study in Port Harcourt South South Nigeria, found the three commonest
OIs amang HIV patients as Candida albicans (vaginosis) (28.9%), TB (22.0%) and oral thrush (11%) (Okonko
et al., 2020). In a study in Kenya, the 3 most common OIs were TB (35%), Herpes Zoster (15.4%) and oral
thrush (8%) (Chepkondo et al., 2020). Another study in Indonesia found the most common types of OIS as
tuberculosis infection (43%), candidacies (21%), and diarrhea (9%) (Sutini et al., 2022). It therefore indicates
that some of the commonest OIs found in this study were also common in other studies. It implies that the risk
factors of the common OIs need to be ideally studied.
This study identified oral thrush as the most predominant opportunistic infections in the participants with a
prevalence of 30.4%. This percentage for oral thrush in within approximately 28 % reported in Ibadana
(Akinyemi et al., 2017), The rate found in the present study was lower than the rate found in a study conducted
by Mitiku et al., (2015). It was lower than 11% found in Port Harcourt Nigeria (Okonko et al., 2020). It was also
generally higher than most of the studies in most other developed and some other developing countries like
Ethiopia (9.7%, n = 358).
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The pulmonary TB rate of 13.4% in this study was lower than 22% found in Okokno et al (2022), while the 9%
found on Herpes Simplex 1 is this study. This difference might possibly be explained by methodological
differences in selecting study subjects.
In terms of pathogenic class of the organism, infections based on fungi and bacterial and viral infections were
quite high. This is understandable considering that oral thrush (fungus infection), pulmonary TB (bacteriological
infection) and Herpes Simplex 1 (viral infection) dominated the OIs found in this study. It indicates the high
vulnerability of the PLWHA on those organism infections and the need for more surveillance and delicate care
of PLWHA. A central African study (Mouinga-Ondeme, et al., 2023) found high pathogenic classes of the
organism for OIs on bacterial infections (55.4%), viral (39.7%) and parasites (18%). Other HIV/AIDS
opportunistic infections found among the study participants were pneumococcal pneumonia, salmonellosis
(enteric fever), vulva vaginal candidacies are (vaginal thrush).
In this current study, one thousand and one-fifty (46.6%) of the study participants had HIV/AIDS opportunistic
infections that predominately affected the oro-digestive system (gastric intestinal system). Five hundred and
eighty-four (23.6%) of the HIV/AIDS opportunistic infections affected the respiratory system while urogenital
system was affected among three hundred and thirty-eight (13.7%) of the study participants. The dermatological
system (skin) was involved in 7.7% of the opportunistic infections among the study participants.
Association between socio-demographic profile and HIV/AIDS- opportunistic infections among the study
group
Significant socio-demographic profile factors found in this study were ART location and years of having HIV.
ART receiving locations varied significantly in the rate of having opportunistic infection with the rural group
having greater odds of infection. This is in congruent with another finding which showed higher risk for rural or
less developed parts of a country (Girma et al., 2022).
According to Shisana (2009), in South Africa, HIV prevalence is highest in urban informal settlements (19.9%)
followed by rural informal settlements (13.4%), rural formal settlements (10.4%) then urban formal settlements
(10.1%). Urban and rural informal settlements are generally under-resourced and lack some of the basic
necessities such as formal housing, water, sanitation and access to preventive health services. Also, there is a
possibility of reduced effectiveness for therapy administration in the rural areas, which is often the case in most
HIV care facilities in poor countries or limited resource countries (Mongo-Delis, et al., 2019).
The study participants who have living with the disease of less than or equal to five years since living with the
disease were less likely to have TB compared to those who had been in the diseases for at least six years. The
odds for OI were higher among those with longer duration of HIV against the rate among those with lower
duration (Mayer and Hamilton, 2010). This finding is not a surprise finding, since HIV disease could likely wane
the body immunity overtime, which invariably increases risk for positive OI. This is consistent with another
study where years of living with HIV is a significant predictor of TB (Chepkondol et al., 2020).
Age was not found as a significant associating factor of OI in this study, but the rate for OI was found to be
slightly higher among the younger age groups compared to the rate among the older age group. This is likely
because the younger age groups are more likely to engage in risky sexual behavoiurs. Similarly, some other
studies (Lawn et al. 2005; Moges and Kassa, 2014; Okonko, Anyanwu, Osadebe and Odu, 2018) which reported
higher risk of OI for younger age, compared to older age. This is contrary to findings in Ghate et al., (2009) which
reported that older age was a strong risk factor for developing opportunistic infections. In Akinyemi et al., (2017),
Opportunistic infections such as tuberculosis, oral candidasis, chronic dermatitis, chronic diarrhoea diseases, and
herpes zoster were more prevalent among older adults
Similar to age, the sex of the patients was not found to be significantly associated with opportunistic infection
in this study. This present study finding is in congruent with findings with Okonko et al. (2020) for which more
women were infected with OIs than men but sex showed significant association with major OIs in that study
such as TB, Candida and HBV. In Teeka et al., (2024), the prevalence of OIs was reported higher among females
as well as the divorced/separated. The effect of marital status with OI was not investigated in this study.
Elsewhere in Gabon, a neighboring country study, more men were infected than women (Mouinga-Ondeme et
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al., 2024). However, it has been argued that gender does not play any significant role in the rate of opportunistic
infection among PLWHA (Odaibo et al., 2013).
The level of the participants’ education indicates that OI occurred with lower odds among the higher education
participants compared to those without any formal form of education. This coincided with findings in some other
studies that find higher odds among PLWHA with lower level of education (Girma et al., 2022; Mouinga-
Ondeme et al., 2024).
In this study years of living with HIV was found to be a predictor of opportunistic infections. Participants who
were living with HIV for ≤5 years were 47% less likely to have TB compared to those living with HIV for 6
years. This is understandable since HIV weakens the immune system over time and increases the risk for TB
infection (Mayer and Hamilton, 2010).
CONCLUSION AND RECOMMENDATIONS
It was concluded that The rate of occurrence of opportunistic infection among HIV/AIDS patients is quite high
in the study area indicating that opportunistic infections still remained a challenge among HIV/AIDS patients in
the study area. In addition to other opportunistic infections, Oral thrush, pulmonary TB and herpes simplex 1
constitute more than half of the OIs existing in the study area. It means that parts of the major problem for
individuals with HIV/AIDS in the area are mostly related to fungi, bacterial and viral diseases. Some factors of
socio demographics such as ART location, and years since been infected with HIV are significantly associated
with OI (especially Oral thrush, pulmonary TB and herpes simplex 1).
It was recommended that
i. HIV prevention, care and treatment programmes should provide timely response to the peculiar
challenges associated with this trend.
ii. There is need to properly evaluate all HIV infected individuals for opportunistic diseases and practical
efforts to optimize their immunological recovery should be made which may involve evaluation for drug
resistance followed by appropriate drug switch.
iii. HAART adherence counseling should be intensified in patients receiving HAART. Measures that may
be instituted could include use of treatment partners, use of alarm reminders, reducing pill burdens, and drug
switch following non-tolerable side effects.
iv. The Federal ministry of health should undertake feasible health education and promotion strategies that
will increase awareness, prevention and management of OIs among PLWHA.
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INTERNATIONAL JOURNAL OF RESEARCH AND SCIENTIFIC INNOVATION (IJRSI)
ISSN No. 2321-2705 | DOI: 10.51244/IJRSI | Volume XII Issue XV October 2025 | Special Issue on Public Health
Page 2413
www.rsisinternational.org
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