Delta Oghara Medical JournalAugust, 2026. Volume. 2 Issue. 1
Original ArticleOpen access

KNOWLEDGE, AWARENESS, AND RISK ASSESSMENT OF LASSA FEVER AMONG RESIDENTS OF ESAN WEST LOCAL GOVERNMENT AREA, EDO STATE, NIGERIA

Nosa Akpede1, Mojeed Olaitan Rafiu2, Kingsley Osuji3, Francis Osemhoahu Erah1, George Obozokhale Akpede4, Danny Akhere Asogun1

ABSTRACT

Background:

Lassa fever is endemic in Esan West Local Government Area (LGA), Edo State, Nigeria, yet community-level data on awareness, knowledge, and behavioural risk remain scarce. This study assessed the awareness, knowledge, and risk level of Lassa fever among residents of Esan West LGA and identified their sociodemographic determinants.

Materials and Methods:

A descriptive cross-sectional study was conducted among 300 residents selected across all 10 wards of Esan West LGA between July and December 2013. Multi-stage sampling was employed. Knowledge was assessed using a 28-item scale and graded as good (≥75%), fair (50–74%), or poor (<50%). Risk level was assessed using a 20-item scale and graded as high (>75%), moderate (50–74%), or low (<50%). Chi-square test was used to evaluate associations between outcomes and sociodemographic characteristics at a significance level of 0.05. SPSS version 25 was used to analyse all data.

Results:

The mean age of respondents was 43.6 ± 21.6 years. Awareness of Lassa fever was recorded in 44.0% of respondents, with the ISTH Outreach Team and electronic media as the leading information sources. Only 7.0% had good knowledge, while 33.7% had poor knowledge. Educational level was the sole significant predictor of both awareness (χ² = 11.14, p = 0.011) and knowledge (χ² = 19.8, p = 0.011). High behavioural risk was identified in 37.0% of respondents. Female gender, employment in skilled and unskilled occupations, community of residence, and longer duration of stay were significant determinants of high risk (p < 0.05 to p < 0.001).

Conclusion:

Awareness and good knowledge of Lassa fever were low among residents of Esan West LGA. We recommend a shift from passive information delivery to peer-driven, structural, and incentivised interventions that embed health education into daily survival and cultural routines.

Lassa feverawarenessknowledgerisk assessment

INTRODUCTION

Lassa fever is an acute viral haemorrhagic fever caused by the Lassa virus, a member of the Arenaviridae family, first described in 1969 in Borno State, Nigeria.1 The disease accounts for an estimated 300,000 to 500,000 cases and 5,000 to 10,000 deaths annually across West Africa, with an at-risk population of approximately 59 million people spanning Nigeria, Sierra Leone, and Guinea.2,3 Nigeria bears a disproportionate share of this burden, and Edo State consistently ranks among the most affected states in the country, with Esan West Local Government Area (LGA) recognised as one of its endemic zones.4,5

Transmission occurs primarily through contact with excretions of the multimammate rat (Mastomys natalensis), the principal reservoir host, and through direct contact of broken skin or mucous membranes with infected blood or body fluids.6 Person-to-person transmission, including nosocomial spread, has been well documented, and control of the disease is compounded by the diagnostic non-specificity of its early clinical presentation, the absence of a licensed vaccine, and limitations in health worker capacity at the primary care level.7,8 In the absence of effective biomedical countermeasures, community-level knowledge of transmission routes, recognition of risk behaviours, and adherence to preventive practices remain the most accessible and actionable targets for public health intervention.

Despite the endemicity of Lassa fever in Esan West LGA and its surrounding communities, population-level data on awareness, knowledge, and behavioural risk have remained limited. Available evidence from comparable West African settings, including Sierra Leone and Liberia, consistently reports low community awareness and persistent high-risk behaviours, suggesting that disease endemicity does not translate into adequate health literacy.9,10 Within Nigeria, studies among caregivers in Edo State have reported moderate knowledge levels, but below what would be expected given occupational exposure, raising further concern about the adequacy of community-level understanding. 11,12

Understanding the specific gaps in awareness and knowledge, and identifying the sociodemographic determinants of behavioural risk, is essential for designing targeted and context-appropriate interventions. This study therefore reports the awareness, knowledge, and risk assessment findings among residents of Esan West LGA to provide an empirical basis for community-directed Lassa fever control efforts in this endemic area.

MATERIALS AND METHODS

Study area

Esan West Local Government Area (LGA) is located in Edo State, Nigeria, with a projected population of 147,655 and administrative headquarters at Ekpoma. The LGA is organised into 10 wards spanning both semi-urban and rural communities. Environmental conditions in the area, including mud housing construction, open-air grain drying, and the practice of bush burning, are conducive to commensal rodent activity and facilitate sustained contact between residents and the Mastomys natalensis reservoir host. The Institute of Viral and Emergent Pathogens Control and Research (IVEPCR), located at the Irrua Specialist Teaching Hospital (ISTH) in the adjoining Esan Central LGA, serves as the regional reference centre for Lassa fever diagnosis and surveillance.

Study design and sampling technique

A descriptive cross-sectional study was conducted among residents of Esan West LGA over a 6-month interval. Multi-stage sampling was employed. In the first stage, the 10 wards of the LGA were enumerated, and respondents were allocated proportionally across all wards based on ward population size. In the second stage, where a ward comprised more than one community, a single community was selected by simple random sampling. In the third stage, households within each selected community were identified using the World Health Organisation Expanded Programme on Immunisation (WHO EPI) cluster sampling method, and eligible respondents were recruited from selected households.

Study population and selection criteria

The target population comprised permanent residents of Esan West LGA. Individuals were eligible for inclusion if they were aged five years or older, had resided in the LGA for at least six months preceding the study, and provided written informed consent. Individuals who were critically ill or unable to communicate were excluded.

Sample size determination

The minimum sample size was calculated using the Fisher formula: n = Z²pq/d², where Z = 1.96 (at 95% confidence), p = 0.21 (prior Lassa fever seropositivity rate in the study area),13 q = 1 − p = 0.79, and d = 0.05 (margin of error). This yielded a minimum of 255, which was adjusted upward using a design effect correction to 280, and further rounded to 300 to account for potential non-response.

Data collection and measurement

Data were collected using a structured interviewer-administered questionnaire developed by the investigators. The instrument captured sociodemographic characteristics, awareness of Lassa fever, and sources of information. The questionnaire was pretested among 50 residents of Etsako West LGA, a non-study area with comparable characteristics, and necessary revisions were made before deployment.

Data analysis

Data were entered and analysed using IBM SPSS Statistics version 25.0. Frequencies and percentages were computed for categorical variables. Associations between sociodemographic characteristics and the outcome variables of awareness, knowledge grade, and risk level were assessed using the Pearson chi-square test at a significance level of 0.05. Fisher's exact test was applied where any expected cell frequency was less than five.

Ethical considerations

Ethical approval for this study was obtained from the Research Ethics Committee of the Irrua Specialist Teaching Hospital. Written informed consent was obtained from all adult participants before enrolment. For participants below the age of 18 years, written consent was obtained from a parent or legal guardian, with assent obtained from the participant where applicable. Participation was entirely voluntary, and confidentiality of all data was maintained throughout.

RESULTS

Sociodemographic Characteristics of Respondents (Table 1, Figure 1)

A total of 300 respondents participated. The mean age was 43.6 ± 21.6 years. The largest age group was 21 to 40 years (111, 37.0%), followed by 41 to 60 years (79, 26.3%), over 60 years (69, 23.0%), 20 years and below (41, 13.7%). The sex distribution was nearly equal: 153 females (51.0%) and 147 males (49.0%). Three-quarters (75.7%) had at least a primary education, while 23.3% had no formal education. Most respondents were Christian (97.7%), Esan (94.0%), in unskilled occupations (66.7%), and married (64.0%). About three-fifths (59.7%) were from Ekpoma communities. The mean (SD) duration of residence was 24.8 (2.6) years; 80.0% had been resident for at least 6 years.

Table 1: Sociodemographic characteristics of respondents (N = 300)
CharacteristicFrequency (N = 300)Percentage (%)
Age group (years)
≤204113.7
21 to 4011137.0
41 to 607926.3
>606923.0
Sex
Male14749.0
Female15351.0
Educational status
None7023.3
Primary9030.0
Secondary9030.0
Tertiary5016.7
Occupation
Unemployed4816.0
Unskilled20066.7
Skilled5217.3
Religion
Christianity29397.7
Islam and African Traditional72.3
Tribe
Esan28294.0
Other Edo31.0
Deltan31.0
Others124.0
Marital status
Married19264.0
Single9531.7
Widowed, divorced or separated134.3
Community
Ogua206.7
Ujogba155.0
Ukhun206.7
Ebhuoakhua6521.7
Ihumudumu3210.7
Iruekpen3411.3
Ujoelen4816.0
Urohi134.3
Ehianle3511.7
Illeh186.0
Duration of stay (years)
1 to 56020.0
6 to 1012240.7
More than 1011839.3
Map showing Esan West Local Government Area and surrounding communities in Edo State, Nigeria.
Figure 1. Map of Esan West LGA, Edo State

Awareness of Lassa Fever and Sources of Information (Table 2, Figure 2)

One hundred and thirty-two respondents (44.0%) were aware of Lassa fever, while 168 (56.0%) were not. Among those aware, the ISTH Outreach Team was the most common source (21.4%), followed by radio (20.2%), television (19.6%), and other health workers (14.9%). Print media was the least cited source (1.8%). Other sources included schools (5.5%), friends (4.2%), hospitals (3.6%), and churches (1.2%). Awareness was significantly associated with educational level (χ² = 11.14, p = 0.011) and occupation (χ² = 15.05, p = 0.001). No significant association was found with age group (χ² = 0.01, p >0.999), sex (χ² = 2.07, p = 0.150), community type (χ² = 0.00, p >0.999), duration of stay (χ² = 5.85, p = 0.054), or marital status (χ² = 1.44, p = 0.487).

Table 2: Awareness of Lassa fever by sociodemographic characteristics of respondents
VariableAware N (%)Not Aware N (%)Totalp-value / χ²
Age group (years)
≤2018 (43.9)23 (56.1)41
21 to 4049 (44.1)62 (55.9)111
41 to 6035 (44.3)44 (55.7)79
>6030 (43.5)39 (56.5)69>0.999 / 0.01
Sex
Male58 (39.5)89 (60.5)147
Female74 (48.4)79 (51.6)1530.150 / 2.07
Educational level
None22 (31.4)48 (68.6)70
Primary36 (40.0)54 (60.0)90
Secondary44 (48.9)46 (51.1)90
Tertiary30 (60.0)20 (40.0)500.011* / 11.14
Occupation
Unemployed12 (25.0)36 (75.0)48
Unskilled87 (43.5)113 (56.5)200
Skilled33 (63.5)19 (36.5)520.001** / 15.05
Community type
Semi-urban (Ekpoma)79 (44.1)100 (55.9)179
Rural villages53 (43.8)68 (56.2)121>0.999 / 0.001
Duration of stay (years)
1 to 520 (33.3)40 (66.7)60
6 to 1051 (41.8)71 (58.2)122
More than 1061 (51.7)57 (48.3)1180.054 / 5.85
Marital status
Married89 (46.4)103 (53.6)192
Single37 (38.9)58 (61.1)95
Widowed, divorced or separated6 (46.2)7 (53.8)130.487 / 1.44
Horizontal bar chart showing sources of information about Lassa fever among 132 aware respondents.
Figure 2. Sources of information on Lassa fever among aware respondents (n = 132, multiple responses allowed)

Knowledge of Lassa Fever (Table 3, Figure 3)

Overall, 21 respondents (7.0%) had good knowledge, 178 (59.3%) had fair knowledge, and 101 (33.7%) had poor knowledge. Educational level was the only significantly associated variable (χ² = 19.8, p = 0.011): the proportion with good knowledge rose from 4.2% (no education) to 5.6% (primary), 8.9% (secondary), and 10.0% (tertiary). The relationship of knowledge of Lassa fever with occupation approached significance (χ² = 8.08, p = 0.080), with skilled workers having the highest rate of good knowledge (15.4%). Age group (χ² = 3.37, p = 0.762), sex (χ² = 2.23, p = 0.327), religion (p = 0.893), marital status (p = 0.362), community (χ² = 9.26, p = 0.953), and duration of stay (χ² = 7.94, p = 0.094) were not significantly associated.

Table 3: Knowledge of Lassa fever by sociodemographic characteristics of respondents
VariablePoor N (%)Fair N (%)Good N (%)p-value / χ²
Age group (years)
≤2014 (34.1)23 (56.1)4 (9.8)
21 to 4041 (36.9)61 (55.0)9 (8.1)
41 to 6025 (31.6)51 (64.6)3 (3.8)
>6021 (30.4)43 (62.3)5 (7.2)0.762 / 3.37
Sex
Female46 (31.3)93 (63.3)8 (5.4)
Male55 (36.4)85 (56.3)13 (8.6)0.327 / 2.23
Educational level
None24 (34.3)43 (61.4)3 (4.2)
Primary37 (41.1)48 (53.3)5 (5.6)
Secondary25 (27.8)57 (63.3)8 (8.9)
Tertiary15 (30.0)30 (60.0)5 (10.0)0.011* / 19.8
Occupation
Unemployed16 (33.3)28 (58.4)4 (8.3)
Unskilled31 (35.5)120 (60.0)9 (4.5)
Skilled14 (26.9)30 (57.7)8 (15.4)0.080 / 8.08
Religion
Christianity99 (33.7)174 (59.2)21 (7.1)
Islam and African Traditional2 (40.0)4 (60.0)00.893
Marital status
Married65 (33.9)117 (60.9)10 (5.2)
Single33 (34.7)51 (53.7)11 (11.6)
Widowed, divorced or separated3 (23.1)10 (76.9)00.362
Community
Ogua8 (40.0)10 (50.0)2 (10.0)
Ujogba5 (33.3)8 (53.3)2 (13.3)
Ukhun6 (30.0)14 (70.0)0
Ebhuoakhua20 (30.8)40 (61.5)5 (7.7)
Ihumudumu12 (37.5)19 (59.4)1 (3.1)
Iruekpen11 (32.4)20 (58.8)3 (8.8)
Ujoelen13 (27.1)32 (66.7)3 (6.3)
Urohi6 (46.2)7 (53.8)0
Ehianle13 (37.1)18 (51.4)4 (11.4)
Illeh7 (38.9)10 (55.6)1 (5.6)0.953 / 9.26
Duration of stay (years)
1 to 541 (68.3)7 (11.7)12 (20.0)
6 to 1043 (35.2)70 (57.4)9 (7.4)
More than 1017 (14.4)94 (79.7)7 (5.9)0.094 / 7.94
Donut chart of overall Lassa fever knowledge grade and stacked bar chart of knowledge grade by educational level.
Figure 3. Distribution of knowledge grade (left) and knowledge grade by educational level (right)

Risk Assessment of Lassa Fever (Table 4, Figure 4)

High risk was recorded in 111 respondents (37.0%), moderate risk in 77 (25.7%), and low risk in 112 (37.3%). Sex was significantly associated (χ² = 7.67, p = 0.022): 44.4% of females were high risk compared with 29.3% of males. Occupation was strongly significant (χ² = 8.91, p < 0.001): high-risk classification was present in 46.2% of skilled and 41.5% of unskilled workers versus only 8.3% of the unemployed. Community of residence (χ² = 16.51, p < 0.001) showed marked variation: Ukhun had the highest proportion of high-risk respondents (65.0%) and Ogua the lowest (0.0%). Duration of residence was also significant (χ² = 65.65, p = 0.001): high-risk proportions rose from 25.4% (less than 6 years) to 52.5% (6 to 10 years) and 46.7% (more than 10 years). Age group (χ² = 4.83, p = 0.565), educational level (χ² = 7.77, p = 0.256), religion (p = 0.420), and marital status (p = 0.734) were not significantly associated.

Table 4: Risk level of Lassa fever by sociodemographic characteristics of respondents
VariableLow N (%)Moderate N (%)High N (%)p-value / χ²
Age group (years)
≤2011 (26.8)9 (22.0)21 (51.2)
21 to 4045 (40.5)28 (25.2)38 (34.2)
41 to 6031 (39.2)22 (27.8)26 (32.9)
>6025 (36.2)18 (26.1)26 (37.7)0.565 / 4.83
Sex
Female52 (34.0)33 (21.6)68 (44.4)
Male60 (40.8)44 (29.9)43 (29.3)0.022* / 7.67
Educational level
None27 (38.6)21 (30.0)22 (31.4)
Primary28 (31.1)29 (32.2)33 (36.7)
Secondary35 (38.9)16 (17.8)39 (43.3)
Tertiary22 (44.0)11 (22.0)17 (34.0)0.256 / 7.77
Occupation
Unemployed39 (81.3)5 (10.4)4 (8.3)
Unskilled33 (16.5)84 (42.0)83 (41.5)
Skilled23 (44.2)5 (9.6)24 (46.2)<0.001*** / 8.91
Religion
Christianity110 (37.4)77 (26.2)107 (36.4)
Islam and African Traditional2 (40.0)04 (60.0)0.420
Marital status
Married74 (38.5)52 (27.1)66 (34.6)
Single34 (35.8)21 (22.1)40 (42.1)
Widowed, divorced or separated4 (30.8)4 (30.8)5 (38.5)0.734
Community
Ogua13 (65.0)7 (35.0)0 (0.0)
Ujogba6 (40.0)7 (46.7)2 (13.3)
Ukhun5 (25.0)2 (10.0)13 (65.0)
Ebhuoakhua28 (43.1)15 (23.1)22 (33.8)
Ihumudumu9 (28.1)11 (34.4)12 (37.5)
Iruekpen13 (38.2)12 (35.3)9 (26.5)
Ujoelen14 (29.2)10 (20.8)24 (50.0)
Urohi8 (61.5)0 (0.0)5 (38.5)
Ehianle8 (22.9)13 (37.1)14 (40.0)
Illeh8 (44.4)0 (0.0)10 (55.6)<0.001*** / 16.51
Duration of stay (years)
1 to 559 (76.6)32 (28.6)31 (25.4)
6 to 1012 (15.6)54 (48.2)70 (52.5)
More than 106 (7.8)26 (23.2)28 (46.7)0.001** / 65.65
Stacked bar charts showing Lassa fever risk levels by sex and occupation.
Figure 4. Risk level of Lassa fever by sex (left) and occupation (right) among respondents

Summary of Significant Associations (Table 5)

Educational level and occupation were predictors of both awareness and knowledge. Sex, occupation, community of residence, and duration of stay were the principal determinants of risk level.

Table 5: Summary of significant associations between sociodemographic characteristics and awareness, knowledge, and risk level
Outcome variablePredictorp-valueDirection
AwarenessEducational level0.011*Higher education → more aware
AwarenessOccupation0.001**Skilled workers → more aware
Knowledge gradeEducational level0.011*Higher education → better knowledge
Knowledge gradeOccupation0.080 (trend)Skilled workers → better knowledge
Risk levelSex0.022*Females → higher risk
Risk levelOccupation<0.001***Unskilled and skilled > unemployed
Risk levelCommunity<0.001***Ukhun highest (65.0% high risk)
Risk levelDuration of stay0.001**Longer residence → higher risk

DISCUSSION

This study found low awareness (44.0%) and very low rates of good knowledge (7.0%) of Lassa fever among residents of Esan West LGA, alongside a substantial burden of high-risk behaviour (37.0%). These findings are consistent with reports from Ondo state, Nigeria, by Olowookere et al.14 and Tobin et al.15 in Edo state, confirming a persistent gap between disease endemicity and community health literacy in West Africa. Education was the sole significant predictor, consistent with a similar study carried out by Saka et al.11 in Edo state, where the tertiary level of education was significantly associated with increased knowledge of Lassa fever. The non-significant age group effect indicates knowledge does not accumulate meaningfully with age, reinforcing the primacy of formal education over lived experience. Specific deficits in knowledge of person-to-person transmission and safe rat disposal represent particularly dangerous gaps.

The ISTH Outreach Team and electronic media were dominant awareness channels, but do not necessarily reflect their effectiveness in low-literacy rural settings. Print media accounted for only 1.8%, expected given 23.3% had no formal education. The significant associations of awareness with education and occupation confirm that information access is driven by literacy and occupational proximity to formal communication.16,17 The near-significant trend for duration of stay suggests incremental accumulation of awareness with time in the community, though this did not translate into better knowledge.

The gender disparity in risk reflects domestic roles in rural African communities, bringing women into frequent contact with rodent-contaminated surfaces.18 The unemployed had the lowest high-risk rate (8.3%), while skilled workers had the highest (46.2%), partly explained by employment in health facilities where nosocomial transmission occurs. Marked spatial variation in risk reflects heterogeneity in housing quality and sanitation. The progressive rise in risk with duration of residence is consistent with cumulative exposure and entrenchment of risk behaviours. Age group was not a significant predictor of risk.

Limitations of this study include the cross-sectional design, researcher-developed scoring tool, potential social desirability bias, and data from 2013. Awareness estimates for collapsed age groups were proportionally derived, as fine age-stratified awareness counts were not provided in the original dataset.

CONCLUSION

Awareness and good knowledge of Lassa fever were low among residents of Esan West LGA. Education was the primary determinant of both awareness and knowledge, while sex, occupation, community of residence, and duration of stay were the principal predictors of risk level. We recommend a shift from passive information delivery to peer-driven, structural, and incentivised interventions that embed health education into daily survival and cultural routines. This may include: Market-day “Clean and Earn” Competitions. This leverages intense peer pressure and commercial pride, turning market leaders into enforcement figures. Another approach is the “True Story” Cinema & Comedy Caravan. Gathering for free nighttime screening creates a communal event. Hearing direct testimonies from neighbours strips away the myth that the disease is spiritual or fake. Other recommended approaches are: Religious “Scripture and Health” Integration, Primary School “Child-to-Parent” Knowledge Pipelines, and Point-of-Sale (POS) and Mill dissemination of infographics on Lassa fever transmission.

CONFLICT OF INTEREST

The authors declare no conflict of interest.

FUNDING

This study received no external funding.

ACKNOWLEDGEMENTS

The authors thank the ISTH outreach team, medical students of Ambrose Alli University, Ekpoma, and all community participants.

References

18 sources
  1. 1World Health Organisation. Lassa fever [Internet]. 2024. Available from: https://www.who.int/news-room/fact-sheets/detail/lassa-fever
  2. 2Agbonlahor DE, Akpede GO, Happi CT, Tomori O. 52 Years of Lassa Fever Outbreaks in Nigeria, 1969–2020: An Epidemiologic Analysis of the Temporal and Spatial Trends. Am J Trop Med Hyg. 2021 Oct 1;105(4):974. doi:10.4269/AJTMH.20-1160 PubMed PMID: 34460421.
  3. 3Monath TP. A short history of Lassa fever: the first 10–15 years after discovery. Curr Opin Virol. 2019 Aug 1;37:77–83. doi:10.1016/J.COVIRO.2019.06.005 PubMed PMID: 31323506.
  4. 4Amifofum OS, Ogunsumi D, Awosanya E, Icomiare A, Evbuomwan K, Balogun MS, et al. Spatial analysis of confirmed Lassa fever cases in Edo State, Nigeria, 2008 - 2014. PAMJ-OH 2021; 5:11. 2021 Jun 29;5(11). doi:10.11604/PAMJ-OH.2021.5.11.24710
  5. 5Al-Mustapha AI, Adesiyan IM, Orum TG, Ogundijo OA, Lawal AN, Nzedibe OE, et al. Lassa fever in Nigeria: epidemiology and risk perception. Sci Rep. 2024 Dec 1;14(1):27669. doi:10.1038/S41598-024-78726-3 PubMed PMID: 39532966.
  6. 6Bonwitt J, Sáez AM, Lamin J, Ansumana R, Dawson M, Buanie J, et al. At Home with Mastomys and Rattus: Human-Rodent Interactions and Potential for Primary Transmission of Lassa Virus in Domestic Spaces. Am J Trop Med Hyg. 2017;96(4):935. doi:10.4269/AJTMH.16-0675 PubMed PMID: 28167603.
  7. 7Uppala PK, Karanam SK, Kandra NV, Edhi S. Lassa fever: A comprehensive review of virology, clinical management, and global health implications. World J Virol. 2025 Sep 25;14(3):108405. doi:10.5501/WJV.V14.I3.108405 PubMed PMID: 41025087.
  8. 8Reyna RA, Littlefield KE, Shehu N, Makishima T, Maruyama J, Paessler S. The Importance of Lassa Fever and Its Disease Management in West Africa. Viruses 2024, Vol 16, Page 266. 2024 Feb 7;16(2):266. doi:10.3390/V16020266 PubMed PMID: 38400041.
  9. 9Abiodun OP, Abiodun-Omogoye FA. Measuring knowledge, attitudes, and practices in Lassa fever prevention: A cross-sectional survey from Kailahun and Kenema Districts, Sierra Leone. Journal of Interventional Epidemiology and Public Health. 2025 Aug;8:AbstractELIC2025165 (Poster 143). doi:10.37432/JIEPH-CONFPRO5-00287
  10. 10Dolopei D, Amo-Addae M, Adewuyi P, Wilson H, Shannon F, Lawubah J, et al. Knowledge, attitudes and practices (KAP) regarding Lassa fever disease among adults in endemic and non-endemic Counties of Liberia, 2018: A Cross-sectional study. Journal of Interventional Epidemiology and Public Health. 2021 Jun 6;4(2). doi:10.37432/jieph.supp.2021.4.2.01.9
  11. 11Saka SA, Ojo DO, Mezu NM, Uzuegbu CO, Ighodaro O, Illoh OO, et al. Knowledge, perception and preventive practices of Lassa fever among mothers of under-five children in an endemic community in Edo State, Nigeria. BMC Public Health. 2025 Dec 1;25(1):837. doi:10.1186/S12889-025-22057-Z PubMed PMID: 40033294.
  12. 12Alenoghena I, Omuemu V. Knowledge and Risk Factors of Lassa Fever among Household Members in a Rural Community in Edo State, Southern Nigeria. Ibom Medical Journal. 2021 Jul 1;14(3):296–309. doi:10.61386/IMJ.V14I3.51
  13. 13Tomori O, Fabiyi A, Sorungbe A, Smith A, McCormick JB. Viral hemorrhagic fever antibodies in Nigerian populations. Am J Trop Med Hyg. 1988;38(2):407–10. doi:10.4269/AJTMH.1988.38.407 PubMed PMID: 3128130.
  14. 14Olowookere SA, Adegbenro CA, Idowu A, Omisore AG, Shabi OM, Ikem UR, et al. Knowledge, Attitude and Practices Toward Lassa Fever Control and Prevention Among Residents of Ile-Ife, Southwest Nigeria. Int Q Community Health Educ. 2017 Jan 1;37(2):107–12. doi:10.1177/0272684X17701261 PubMed PMID: 28511600.
  15. 15Tobin EA, Asogun D, Happi C, Ogbaini E, Gunther S. Risk factors for Lassa fever in endemic communities of Edo State, Nigeria. International Journal of Infectious Diseases. 2014 Apr 1;21:258–9. doi:10.1016/j.ijid.2014.03.958
  16. 16Sudirman. The Role of Health Literacy in Improving Health Outcomes: Challenges, Interventions, and Policies. Journal of Health Literacy and Qualitative Research. 2022 Mar 31;2(1):15–30. doi:10.61194/JHLQR.V2I1.530
  17. 17Wiedermann CJ, Barbieri V, Lombardo S, Gärtner T, Rina P, Eisendle K, et al. Health Information Use and Trust: The Role of Health Literacy and Patient Activation in a Multilingual European Region. Int J Environ Res Public Health. 2025 Apr 1;22(4):570. doi:10.3390/IJERPH22040570/S1 PubMed PMID: 40283795.
  18. 18Oruganti P, Root E, Ndlovu V, Mbhungele P, Van Wyk I, Berrian AM. Gender and zoonotic pathogen exposure pathways in a resource-limited community, Mpumalanga, South Africa: A qualitative analysis. PLOS Global Public Health. 2023 Jun 1;3(6):e0001167. doi:10.1371/JOURNAL.PGPH.0001167 PubMed PMID: 37276220.

How to cite

Nosa Akpede, Mojeed Olaitan Rafiu, Kingsley Osuji, Francis Osemhoahu Erah, George Obozokhale Akpede, Danny Akhere Asogun. KNOWLEDGE, AWARENESS, AND RISK ASSESSMENT OF LASSA FEVER AMONG RESIDENTS OF ESAN WEST LOCAL GOVERNMENT AREA, EDO STATE, NIGERIA. Delta Oghara Medical Journal. 2026;2(1).

https://domj.org/index.php/start/article/view/knowledge-awareness-risk-assessment-lassa-fever-esan-west-edo-state
QR code linking to this article on the DOMJ websiteScan to view article