Burden and Transmission Risks of Viral Hepatitis in Southern Ethiopia: Evidence Needed for Prevention and Control Measures.

BACKGROUND: Hepatitis B virus (HBV) and hepatitis C virus (HCV) are significant causes of liver-associated morbidity and mortality for millions of people globally. Ethiopia is one of the viral hepatitis-endemic countries with no national strategy for surveillance and limited data. As such, this study aimed to investigated the extent and associated risk factors of HBV and HCV among community members in southern Ethiopia.
METHODS: A community-based cross-sectional study was conducted from January 2020 to August 2020. A structured questionnaire was used to collect behavioral and sociodemographic data. Serum samples were collected and assayed for seromarkers of HBV (HBsAg, anti-HBc, and anti-HBs) and HCV (anti-HCV) using ELISAs. In HBsAg-positive samples, HBV DNA was further quantified using RT-PCR. Data were entered into EpiData 3.1 and analyzed using SPSS 21.0. Descriptive statistics and logistic regression analysis were employed.
RESULTS: The study included 693 participants. Seromarkers for HBsAg, anti-HCV, anti-HBc, and anti-HBs were found to be 9.5%, 1.4%, 31.1%, and 14.3%, respectively. In 66 HBsAg positives, 57 (86.4%) had quantifiable HBV DNA. Prevalence of current HBV infection (HBsAg+, anti-HBc+, anti-HBs-) and lifetime exposure (positive for either HBsAg or anti-HBc) to HBV were 8.7% and 31.9%, respectively, and 63.1% of participants were vulnerable or had no evidence of prior HBV infection (HBsAg-, anti-HBc-, anti-HBs-). On multivariate logistic regression analysis, multiple sexual contacts, family history of hepatitis infection, alcohol consumption, and khat chewing were significantly associated with HBV. The seroprevalence of HBV was relatively high in this study area.
CONCLUSION: This study showed high prevalence of HBV infection, but low prevalence of HCV. This indicates that HBV is a major health problem in this community. Population-based surveillance, care, and treatment, as well as behavioral change and education programs, should be enhanced to minimize risk exposure.

Introduction

Hepatitis B virus (HBV) and hepatitis C virus (HCV) are a global public health challenge and account for a significant proportion of liver diseases, primarily cirrhosis and hepatocellular carcinoma.1–3 The status of HBV and HCV infections varies significantly from one part of the world to another and changes over time.4–7 The rate of HBV infection varies from high- (>8% infection rate) to intermediate- (2%–8%) and low-endemicity (<2%) areas.8 Africa is one of the highly endemic areas,9 but some northern countries are classified as intermediate, with an average rate of about 7%,10 whereas most regions of western and eastern Africa are highly endemic areas, with chronic infection rates of 7%−10%, unlike sub-Saharan Africa, where prevalence is 5%–25%, accounting for 26% of liver cancer cases and 19 per 1,000 deaths.1,8,11 Similarly, the endemicity of HCV infection varies much like that of HBV infection from high- (>5% infection rate), to intermediate- (1.1%–5%), low- (0.2–1%), and very low–endemicity areas (<0.1%).1,12,13 African countries, mainly sub-Saharan regions, have among the highest prevalence of HCV in the world — 1%–26%. More than 28 million people are chronically infected with HCV in this continent, and it is difficult to speculate about current and future trends.3–5,14–16

Both HBV and HCV can be transmitted sexually, parenterally, and vertically from mother to child,7,17 most often by percutaneous or mucous membrane exposure to infectious body fluids;18,19 however, perinatal exposure to HBV is the most common mode of transmission in areas of medium–high endemicity.20 Exposure leading to the transmission of HBV and HCV include needlestick injuries,21,22 circumcisions,23,24 tattooing,25 piercing,25,26 intravenous drug use,27 sharp materials,28 transfusion of infected blood or blood products,29–31 unprotected sexual contact,32,33 and hemodialysis.34 Infants born to HBV- or HCV-infected mothers17 and those with immunosuppressive chronic diseases like diabetes mellitus 35 are also at highrisk of HBV or HCV infection.7 Behavioral factors like alcohol consumption,36 multiple sexual contacts,37 and khat chewing38,39 put people at increased risk of transmission.

Ethiopia is grouped among the viral hepatitis–endemic countries, with recent prevalence of 7.4% HBV and 3.1% HCV,14 but the country lacks a national strategy for surveillance of prevention and control of viral hepatitis.40 Community-based seroepidemiological surveys are infrequent and do not show the current burden of the viruses.14,41,42 These infections also remained underdiagnosed and underreported due to limited data, despite their highly infectious nature. Most reports on these infections have been from institution-based studies on high-risk groups.14,43,44

In Ethiopia, almost all reports are based on HBsAg testing, with less emphasis on anti-HBc, anti-HBs, HBV DNA, and anti-HCV for HCV, despite their clinical importance. Screening for HBV anti-HBc and anti-HBs is important to provide lifetime exposure and identify individuals vulnerableto HBV infection, respectively.45 Quantifying HBV DNA in HBsAg-positive samples is also crucial to identify those viremic individuals requiring follow-up monitoring and treatment,46,47 which is important to reduce transmission through counseling on risk behaviors.48 Assessing seromarkers of HBV and HCV infections at the community level is essential to develop strategies to reduce transmission. Therefore, this study aimed to investigat the seroprevalence and associated factors of HBV and HCV infections among the general population in southern Ethiopia.

Methods

Study Setting and Period

The study was conducted from January to August 2020 in three zonal districts of southern Ethiopia: Hadiya, Kambata, and Silte.

Study Design

This was a community-based cross–sectional study conducted to determine the seromarkers of HBV and HCV infection and identify transmission risks.

Study Population, Sample Size, and Sampling Method

Study participants were individuals aged ≥5 years, residents of the study districts, and had volunteered to participate in the study. From the three zonal districts (Hadiya, Kambata, and Silte), nine woredas (three from each district), and 18 kebeles (two from each woreda) were selected randomly. The sample size was calculated with assumptions of pooled seroprevalence of HBV in community-based studies of 8,14 95% confidence, 3% margin of error, and design effect of 2, and finally increased by 10% to account for such contingencies such as nonresponse and recording errors. This resulted in a minimum sample of 693. Based on these estimations, 278 individuals from Hadiya, 245 from Kambata, and 170 from Silte were selected by proportional allocation. Households from each of the selected kebeles were selected using systematic random sampling after calculating the Kth value by dividing the total number of households by the sample size. From each selected household, one participant was randomly recruited using a lottery method for those who were at home when visited. Individuals who were critically ill and unable to give responses were excluded.

Data Collection

A structured questionnaire was administered by face-to-face interview during house visits to collect sociodemographic, cultural (behavioral), and relevant clinical data. Blood samples (5 mL) were collected from each of the study participants. Sera were separated and stored at −70°C until screening for HBV seromarkers (HBsAg, anti-HBc, and anti-HBs), HBV DNA, and anti-HCV. Screening for seromarkers HBsAg and anti-HCV was undertaken using HbsAg and anti-HCV ELISA kits (Wantai Biological) as per manufacturer instructions. Sensitivity and specificity of the HBsAg kit were 100% and 99.4% and for the anti-HCV kit 99% and 97%, respectively. Anti-HBc and anti-HBs screening tests were also performed using ELISA kits (Monolisa anti-HBc Plus, Monolisa anti-HBs Plus, Bio-Rad). Reactive samples were retested twice more and considered reactive if at least one of the two repetitions also gave a positive result. Samples found positive on HBsAg ELISA assays were further tested using quantitative PCR assays for detection and quantification of viral nucleic acid.

HBV DNA Quantification

Detection of HBV DNA was performed for all blood samples testing positive for HBsAg. HBV DNA was extracted from 200 μL plasma using an m2000sp (Abbott Laboratories, Abbott Park, IL, USA), an automated sample-preparation system designed to use magnetic microparticle-based reagents for the purification of nucleic acids from samples, following the manufacturer’s instructions. An internal control DNA was introduced into the sample-preparation procedure and processed along with the calibrators, controls, and samples. The occurrence of amplified HBV DNA and internal control was noticed during the extension and annealing step. The amplification cycle at which a normalized fluorescent signal was detected by the m2000rt was proportional to the log of the HBV DNA concentration present in the original sample. Each sample was then quantified by an external calibration curve.

HBV DNA

The concentration of HBV DNA in a sample and/or control was measured from either a stored calibration curve or a curve formed by calibrators in a calibration or sample run. The m2000rt spontaneously reports the results on its workstation. Assay results are reported in IU/mL which is proportional to an average conversion factor of 3.41 (1 IU = 3.41 copies).

Quality Assurance

Serum samples were stored at –70°C until processed. The manufacturer’s instructions and standard operating procedures were firmly followed during laboratory tests. ELISA results were determined based on the manufacturer’s cutoff-value instruction. Negative, low-positive, and high-positiveinternal control kits were used with each run to check the quality of reagents according to the manufacturer’s instructions.

Data Processing and Analysis

Data were processed, entered into EpiData 3.1, and analyzed using SPSS 21.0. Descriptive statistics — means ± SD for continuous variables and frequencies for categorical variables — were employed. A binary logistic regression model was fitted to identify factors associated with the seroprevalence of HBV infection. Variables indicating significant associations on bivariate analysis were taken as candidates for multivariate analysis, and those showing significant associations on multivariate analysis were taken as final predictors of the dependent variable. These independent variables showing significant associations are reported using P-values, ORs, and 95% CIs. P<0.05 was determined to be statistically significant.

Ethics Approval and Consent to Participate

Ethics permission was obtained from the ethical review board of the Aklilu Lemma Institute of Pathobiology, Addis Ababa University. Written permission letters were submitted to all the administrative offices concerned. Informed consent was obtained from each participant after an explanation of the aim, potential risks, and importance of the study. Consent for participants aged <18 years was obtained from their parents or legal guardians. Participants were assured that they had the full right to take part or not to take part in the study. To maintain privacy, participants’ information was coded and all personal identifiers removed. All methods were carried out in accordance with the Declaration of Helsinki and the National Research Ethics Review Guideline of Ethiopia.

Results

Sociodemographic Characteristics of Participants

A total of 693 (60.9% female, age 6–82 years, mean age 31.74±9.32 years) study participants were enrolled. Among these, 278 (40.1%) were from Hadiya, 245 (35.4%) from Kambata, and the remaining 170 (24.5%) from Silte. Most (501, 72.3) were rural residents. A majority (58.8%) were married (Table 1).

Table 1

Distribution of HBsAg, HBV DNA, and Anti-HCV Positivity with Sociodemographic Characteristics

		n (%)	HBsAg+, n (%)	HBV DNA+, n (%)	anti-HCV+, n (%)
Sex	Male	271 (39.1)	19 (7.1)	13 (4.8)	3 (1.1)
	Female	422 (60.9)	47 (11.1)	44 (10.2)	7 (1.7)
Age, years	<18	81 (11.7)	10 (12.4)	7 (8.6)	1 (1.2)
	18–29	234 (33.8)	24 (10.3)	19 (8.1)	3 (1.3)
	30–45	278 (40.1)	25 (9.0)	21 (7.6)	5 (1.8)
	46–65	72 (10.4)	6 (8.3)	6 (6.9)	1 (1.4)
	>65	28 (4.0)	2 (7.1)	2 (7.1)	—
Residence	Rural	501 (72.3)	42 (8.3)	37 (7.4)	6 (1.2)
	Urban	192 (27.7)	24 (12.5)	20 (10.4)	4 (2.1)
Religion	Protestant	305 (44.0)	29 (9.5)	25 (8.2)	4 (1.3)
	Muslim	193 (27.8)	24 (12.4)	22 (11.4)	4 (2.1)
	Orthodox	105 (15.2)	8 (7.6)	6 (5.7)	1 (1.0)
	Catholic	90 (13.0)	5 (5.6)	4 (4.4)	1 (1.7)
Education	Illiterate	233 (33.6)	25 (10.7)	21 (9.0)	3 (1.3)
	1–8 years	201 (29.0)	19 (9.4)	16 (8.0)	2 (1.0)
	9–12 years	183 (26.4)	16 (8.2)	15 (8.2)	4 (2.2)
	University or above	76 (11.0)	5 (6.6)	5 (6.6)	1 (1.3)
Marital status	Married	408 (58.9)	42 (10.3)	36 (8.8)	7 (1.7)
	Single	230 (33.2)	18 (7.8)	16 (7.0)	3 (1.2)
	Divorced	23 (3.3)	3 (13.0)	3 (13.0)	—
	Widowed	32 (4.6)	3 (9.4)	2 (6.3)	—
Occupation	Farmer	360 (51.9)	36 (10.0)	30 (8.3)	5 (1.4)
	Merchant	79 (11.4)	9 (11.4)	7 (8.7)	2 (2.5)
	Laborer	92 (13.3)	9 (9.8)	9 (9.8)	1 (1.1)
	Student	87 (12.6)	6 (8.0)	6 (8.0)	—
	Unemployed	75 (10.8)	6 (9.1)	5 (6.7)	2 (2.67)
Family size	<2	48 (6.9)	3 (6.3)	3 (6.3)	—
	2–3	99 (14.3)	8 (8.1)	7 (7.1)	1 (1.0)
	4–5	263 (38.0)	24 (9.1)	21 (8.0)	3 (1.1)
	>5	283 (40.8)	31 (11.3)	26 (9.2)	6 (2.1)
District	Hadiya	278 (40.1)	25 (9.0)	21 (7.6)	3 (1.1)
	Kambata	245 (35.4)	19 (7.8)	17 (6.9)	2 (0.8)
	Silte	170 (24.5)	22 (12.9)	19 (11.2)	5 (2.9)

HBsAg and HBV DNA Positivity

The seroprevalence of HBV infection (HBsAg ELISA) was 66 of 693 (9.5%). Of the HBsAg-seropositive samples, 57 of 66 (86.4%) were HBV nucleic acid–test positives or viremic HBV–infected. The highest prevalence of HBV was observed in those aged <18 years (12.4%), urban residents (12.5%), and families with more than five members (11.3%; Table 1). All HBV DNA–positive samples (86.4%) were above the cutoff for detectable viral load (200 IU/mL) for HBV infection. Among participants with a family history of hepatitis infection (n=63), those with multiple sexual contacts (n=51), history of khat chewing (n=91), and history of alcohol consumption (n=74), the prevalence of HBV was 17.5%, 17.6%, 16.5%, and 14.9%, respectively (Table 3).

Table 3

HCV and HBV Seroprevalence in Relation to Risk Factors

	HCV		HBV
	P (%)	n	P (%)	n	COR (95% CI)	P	AOR (95% CI)	P
Hospital admission  (yes)	2 (3.9)	49	7 (13.7)	44	1.6 (1.4–19.4)	0.047	2.6 (0.5, 23.8)	0.091
No	8 (1.2)	634	59 (8.9)	583	1		1
Multiple sexual contacts  (yes)	3 (5.9)	48	9 (17.6)	42	2.2 (1.9, 18.3)	0.025	3.9 (12.3, 21.4)*	0.001
	7 (1.1)	635	57 (8.9)	585	1
No							1
Alcohol consumption  (yes)	3 (3.9)	75	11 (14.9)	63	1.8 (3.1, 20.2)	0.018	2.7 (6.7, 19.8)*	0.006
No	7 (1.1)	608	55 (8.9)	564	1		1
Intravenous drug use  (yes)	3 (3.3)	90	11 (11.8)	82	1.3 (3.4, 26.4)	0.044	1.9 (0.6, 17.4)	0.056
No	7 (1.1)	593	55 (9.2)	545	1		1
Tooth extraction  (yes)	4 (4.3)	85	5 (11.4)	39	1.2 (9.6, 22.4)	0.011	1.4 (4.7, 19.6)1	0.075
No	6 (1.0)	598	61 (9.6)	587	1
Surgical procedure  (yes)	2 (4.3)	45	5 (8.6)	50	0.9 (0.8, 12.5)	0.045	3.3 (15.1, 32.4)	0.092
No	8 (1.2)	638	61 (9.6)	577	1		1
Contact with jaundiced or hepatitis patients  (yes)	2 (3.9)	56	12 (13.8)	75	1.6 (7.8, 54.1)	0.039	2.9 (5.8, 17.7)	0.003
No	8 (1.2)	627	54 (8.9)	552	1		1
Family history of infection  (yes)	3 (4.8)	60	11 (17.5)	52	2.2 (1.5, 8.9)	0.048	5.2 (1.6, 11.2)*	0.001
No	7 (1.1)	623	55 (8.3)	575	1		1
Khat^ chewing  (yes)	4 (4.3)	67	15 (16.5)	76	2.1 (1.2, 9.2)	0.032	3.2 (13.6, 21.7)*	0.009
No	6 (1.0)	616	51 (8.5)	551	1
							1
History of tattooing  (yes)	3 (4.8)	72	5 (11.9	37	1.3 (1.6, 5.7)	0.041	0.8 (0.9, 31.7)	0.065
No							1
	7 (1.1)	611	61 (9.4)	590	1

Notes: *P<0.05. P, positive; N, negative; 1, reference. ^Khat is a plant native to Ethiopia. It contains the alkaloid cathinone, a stimulant that is said to cause excitement and euphoria.

Seroprevalence of HCV Infections

The overall seroprevalence of HCV infection was ten of 693 (1.4%) using the anti-HCV ELISA. No participants were infected with both HBV and HCV. Participants with multiple sexual contacts (n=51), a family history of hepatitis infection (n=63), and a history of chat chewing (n=91) and alcohol consumption (n=74) showed the highest prevalence of HCV: 5.9%, 4.8%, 4.3%, and 3.9%, respectively (Table 3).

Seromarkers of HBV

The HBsAg, anti-HBc, and anti-HBs seromarkers were found in 66 (9.5%), 215 (31.1%), and 99 (14.3%) participants, respectively. The prevalence of current HBV infection (HBsAg+, anti-HBc+, and anti-HBs–) was 60 (8.7%), while lifetime exposure (positive for either HBsAg or anti-HBc) to HBV was 221 (31.9%). Participants vulnerable to HBV infection (HBsAg–, anti-HBc–, anti-HBs–) numbered 437 (63.1%). Those with immunity due to previous hepatitis B exposure (HBsAg–, anti-HBc+, and anti-HBs+) and vaccination (HBsAg–, anti-HBc–, anti-HBs+) numbered 64 (9.2%) and 35 (5.1%), respectively (Table 2).

Table 2

HBV-seromarker Distribution

	n (%)	Interpretation
HBsAg–, anti-HBc–, anti-HBs–	437 (63.1)	Vulnerable/no evidence of prior infection
HBsAg–, anti-HBc+, anti-HBs+	64 (9.2)	Immune due to past or natural infection
HBsAg+, anti-HBc+, anti-HBs–	60 (8.7)	Chronically infected based on anti-HBc total (Current infection)
HBsAg–, anti-HBc–, anti-HBs+	35 (5.1)	Immune due to hepatitis B vaccination
HBsAg+, anti-HBc–, anti-HBs–	6 (0.9)	1. Early infection/low anti-HBc level2. False-positive HBsAg, thus susceptible
HBsAg–, anti-HBc+, anti-HBs–	91 (13.1)	Unspecified — four options:1. Resolved infection (common)2. False-positive anti-HBc, thus susceptible3. “Low level” chronic infection4. Resolving acute infection

Independent Predictors of HBV Infection

On bivariate analysis, HBV infection was significantly (P<0.05) associated with unprotected multiple sexual contact (COR 2.2, 95% CI 1.9–18.3), alcohol consumption (COR 1.8, 95% CI 3.1–20.2), contact with known hepatitis (jaundiced) patients (COR 1.6, 95% CI 7.8–54.1), family history of hepatitis infection (COR 2.2, 95% CI 1.5–8.9), and khat chewing (COR 2.1, 95% CI 1.2–9.2; Table 3). After adjustment for possible confounders with multivariate logistic regression analysis to explore independent predictors of HBV infection, multiple sexual contacts (AOR 3.9, 95% CI 12.3–21.4), alcohol consumption (AOR 2.7, 95% CI 6.7–19.8), khat chewing (AOR 3.2, 95% CI 13.6–21.7), and family history of hepatitis (AOR 5.2, 95% CI 1.6–11.2) were significantly associated with HBV infection (Table 3). Logistic regression analysis for HCV infection was not performed because we found only a small (ten) number of positive cases.

Discussion

In this study, we found a high rate (9.5%) of HBV infection, showing high endemicity according to WHO criteria (≥8%).8,49 Observed seroprevalence was higher than the previous national pooled prevalence of 7.4% and subgroup meta-analysis prevalence of 8.0% in community-based studies in Ethiopia.14 It is also higher than community-based study findings elsewhere in Ethiopia and eastern African countries, eg, 3.1% reported from Gojjam, northwest Ethiopia,41 6.9% in Madagascar,50 2.1% in Kenya,51 as well as 6.1% in the whole African region52 and 3.5% global prevalence;53 however, significant heterogeneity among these studies was observed. The widest differences between Ethiopia and the others could be due to the use of different generations of test kits with different sensitivity and specificity, in addition to differences in study design, population, occupations, and geographical factors. This relative increase in the prevalence of HBV in the area compared to other regions suggests the current study district is a focal point for the prevention and control of hepatitis in Ethiopia. In addition, of those HBV-seropositive, the presence of high quantifiable plasma HBV DNA indicates there is a high proportion of viremic individuals in the community with relatively increased risk of HBV transmission and progression to chronic liver problems. Therefore, this needs prompt surveillance strategies for prevention and control, as well as screening for care and treatments.

On the other hand, this study revealed much higher findings than previous studies conducted in more developed regions, eg, 1.6% in Europe,54 2.5% in South Korea,55 2.8% in Turkey,56 and 1.4% in Brazil.57 Compared with these countries, the magnitude of HBV is considerably high. The varied differences between this study and the others might be due to differences in study duration and study settings that could affect social behavior, lifestyle, and socioeconomic status that predispose to HBV infection.16 In addition, individuals in more advanced nations get proper vaccines and work in healthier clinical settings where their protection is reasonably maintained, and these factors might result in a reduced risk of HBV infection.

On the contrary, the overall seroprevalence of HCV in the study area was 1.4%. This seroprevalence of anti-HCV is classified as low endemicity by WHO criteria,8,58,59 and agrees with similar studies in Ethiopia.41,60 It is also consistent with other studies from eastern Africa.61,62 On the contrary, the seroprevalence of anti-HCV reported in our study was less than that from pooled national prevalence of Ethiopia (3.1%)14 and the 3.0% reported in sub-Saharan Africa.63 This might be due to differences in study period, design, population, and occupation.

We found a higher rate of HBV infection in larger families than smaller ones. Several studies have shown and suggested similar findings.4,41,64 This higher rate of HBV infection in larger families could explain the presence of horizontal transmission of HBV infection within the family. In a large family, there might be increased close contact of family members that could create an increased chance of HBV transmission. We also found a higher rate of HBV infection in younger people than older ones. Some studies have shown and suggested similar findings.65,66 The probable reason for this difference could be that higher positivity in younger people being related to vertical transmission, and the highest chance of viral persistence to the progression of chronic HBV infection is in the early age of infection. This study likewise revealed high prevalence of HBV infection in less educated individuals, somewhat similar to other studies conducted in Ethiopia5,41,67,68 and elsewhere. This relatively higher HBV seropositivity among the less educated might be attributed to poor awareness regarding modes of transmission, and increased education might increase awareness of prevention practices.

Multivariate analysis controlling for potential confounders showed a significant association of family history of hepatitis infection, multiple sexual contacts, khat chewing, and alcohol consumption with seropositivity of HBsAg, which is consistent with other study findings from Ethiopia.20,69 In this study, participants who had a family history of hepatitis infection had a fivefold chance of acquiring HBV. This was an independent risk factor and is in line with a previous study from northwest Ethiopia70 and a study from Kenya.71 This could explain close contact of family members with hepatitis patients increasing the chance of HBV transmission in the family or family environments that need a contact-screening program and intervention. Participants who practiced sex with multiple sexual partners had higher odds of HBV infection than their counterparts, as demonstrated elsewhere in Africa.18,52,72 Alcohol drinkers had an almost threefold risk of being positive for HBsAg and anti-HCV compared to their counterparts, showing the influence of alcohol consumption in the transmission of viral hepatitis.15,73

Strengths and Limitations

The inclusion of a large sample size a wide population group covering rural and urban populations and the use of fourth-generation ELISA and HBV PCR to provide evidence for active viremia are the strengths of this study. However, this study has also some limitations, including a lack of HCV molecular nucleic acid testing, HBeAg, and anti-HBc IgM tests to differentiate between active viral replication and acute infection; however, the evidence was provided by PCR for active viremia. This study also lacked an occult hepatitis B test in HBsAg ELISA negatives to estimate silent-transmission risks.

Conclusion

The findings of this study indicated that the magnitude of HBV infection among the general population was high, but low for HCV infection. A high proportion of the HBsAg-positive individuals were also HBV DNA–positive with high viral load indicating actively viremic HBV infection. Therefore, this high viremic HBV infection puts individuals at risk of developing chronic liver diseases, in addition to spreading HBV to others. A majority of participants were found to be susceptible to HBV infection. Modifiable risk factors, such as multiple sexual contacts, family history of hepatitis infection, alcohol consumption, and khat chewing, were identified. This indicates there are high risks of transmission of these infectious pathogens in the community and points to a need for special attention to be paid to HBV-linked risk factors. Therefore, there is a need for prompt action to emphasize efforts alleviating transmission through awareness creation on modes of transmission, vaccination, and early screening, and treatment policies must be strengthened to minimize and control the spread of infection.