ijohnsInternational Journal of Otolaryngology and Head & Neck Surgery2168-54602168-5452Scientific Research Publishing10.4236/ijohns.2026.152011ijohns-149751ArticleMedicineHealthcareOlfactory Dysfunction Related to SARS-CoV-2 among Healthcare Workers in N’Djamena: Prevalence, Clinical Characteristics, and Associated Factors0000-0003-1122-1856TaoussiAboubakar Assidick1OuchemiChoua2BoltiMahamat Ali3HervéMbaïhodji4 Department of Otorhinolaryngology-Head and Neck Surgery, Renaissance University Hospital Center, N’Djamena, Chad Department of General Surgery, National Reference University Hospital Center, N’Djamena, Chad Department of Internal Medicine, Renaissance University Hospital Center, N’Djamena, Chad Faculty of Health Sciences, University of Abeché, Abeché, Chad
The authors declare that they have no conflicts of interest related to this study.
Background: Olfactory dysfunction (OD) is a common manifestation of SARS- CoV-2 infection but remains insufficiently documented in sub-Saharan Africa, particularly among highly exposed healthcare workers. Objective: To estimate the prevalence of OD during RT-PCR-confirmed COVID-19, describe its clinical characteristics, and identify associated factors among hospital staff in N’Djamena. Methods: An analytical cross-sectional study was conducted between January and June 2023 among hospital workers with RT-PCR-confirmed SARS-CoV-2 infection, interviewed at least four weeks after the acute episode. A standardized questionnaire documented OD occurring during infection, including type, onset characteristics, nasal obstruction, associated dysgeusia, duration, and recovery. A simplified psychophysical olfactory test using five locally familiar odorants was proposed to participants reporting persistent symptoms or uncertainty regarding recovery. Factors associated with OD were assessed using multivariable logistic regression analysis. Results: Among 161 participants, 115 reported OD (71.4%). Anosmia was the predominant presentation (91.3%), typically of sudden onset (85.2%) and most often without nasal obstruction (87.8%). Assignment to clinical departments was strongly associated with OD (adjusted OR 12.4; 95% CI 5.2 - 29.8), whereas age was inversely associated (adjusted OR 0.94 per year increase). Complete recovery was reported by 90.4% of affected participants; 5.2% had persistent, objectively confirmed OD (score ≤ 2/5). Additionally, 50.4% reported difficulty detecting potentially hazardous odors. Conclusion: Olfactory dysfunction related to SARS-CoV-2 remains highly prevalent among healthcare workers in N’Djamena, particularly among those assigned to clinical services, and is associated with a measurable functional impact on workplace safety. These findings support systematic post-COVID evaluation and targeted preventive strategies in this high-risk professional group.
Since the emergence of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a wide range of otorhinolaryngological manifestations has been reported. Among these, olfactory and gustatory dysfunction rapidly emerged as frequent—and sometimes inaugural—symptoms of infection. Numerous studies have documented a high prevalence of these disorders in patients with COVID-19, underscoring their potential diagnostic value [1]-[4].
Healthcare workers constitute a particularly vulnerable population due to repeated occupational exposure to infected patients, with a risk of SARS-CoV-2 infection exceeding that of the general population [5]. In this context, alterations of smell—including anosmia, hyposmia, and parosmia—have been commonly described. These disturbances typically occur abruptly and most often in the absence of nasal obstruction or rhinorrhea [1][2]. This distinctive clinical presentation differentiates COVID-19-related olfactory dysfunction from that observed in other viral respiratory infections and has led to its recognition as a potential clinical biomarker of SARS-CoV-2 infection [3][4]. Beyond its diagnostic significance, olfactory impairment among healthcare workers may compromise the detection of hazardous odors such as chemicals or smoke, raising important concerns regarding occupational safety.
From a pathophysiological standpoint, experimental and clinical studies have shown that SARS-CoV-2 entry receptors are predominantly expressed in non-neuronal cells of the olfactory epithelium, particularly sustentacular cells, supporting a primarily peripheral mechanism of olfactory impairment [6]. Furthermore, the clinical profile of COVID-19 has evolved throughout the pandemic, partly in relation to the circulation of different viral variants. A relative decline in the prevalence of olfactory dysfunction has been observed during periods dominated by the Delta and Omicron variants; nevertheless, these symptoms remain clinically relevant [7][8].
Despite the expanding literature on COVID-19-related olfactory dysfunction, most available data originate from Europe, Asia, and North America. Evidence from sub-Saharan Africa remains limited, particularly among healthcare workers. In Chad, and specifically in N’Djamena, the epidemiological and clinical characteristics of SARS-CoV-2-related olfactory dysfunction in this high-risk professional group have not been adequately documented.
The present study therefore aimed to determine the prevalence of olfactory dysfunction among healthcare workers with RT-PCR-confirmed SARS-CoV-2 infection in N’Djamena, to describe its clinical characteristics, and to identify factors associated with its occurrence.
2. Materials and Methods2.1. Study Design and Period
This analytical cross-sectional study was conducted between January and June 2023. Its primary objective was to assess the occurrence of olfactory dysfunction (OD) during RT-PCR-confirmed SARS-CoV-2 infection and to identify individual and occupational factors associated with its onset and potential persistence.
2.2. Study Sites
The study was carried out in five tertiary hospitals in N’Djamena: Renaissance University Hospital Center, National Reference University Hospital Center, Mother and Child University Hospital Center, Refondation Hospital, and Chad-China Friendship Hospital. These institutions represented the principal centers involved in COVID-19 management in Chad and encompassed staff members with varying degrees of occupational exposure to SARS-CoV-2.
2.3. Study Population
The study population consisted of hospital staff members, including both healthcare and non-healthcare workers, with RT-PCR-confirmed SARS-CoV-2 infection during the study period. Participants were eligible if they had documented proof of infection and were interviewed at least four weeks after the acute episode to ensure assessment of a stabilized post-infectious olfactory status.
The median interval between the positive RT-PCR test and the interview was 16 weeks (range: 8 - 24 weeks). Participants with documented multiple SARS-CoV-2 infections were included; however, analyses were based on the most recent confirmed episode.
Individuals with a history of olfactory disorders unrelated to COVID-19 or those unable to complete the questionnaire were excluded.
2.4. Sample Size and Recruitment
The minimum required sample size was calculated using the Schwartz formula for proportions, based on an expected prevalence of 64% among infected healthcare workers [9]. Assuming a 5% margin of error and a 95% confidence level, the theoretical sample size was 354 participants. Given the finite size of the eligible population (245 staff members), a finite population correction was applied. After accounting for an anticipated 10% non-response rate, the final target sample size was adjusted to 161 participants.
Eligible participants were identified from official lists of SARS-CoV-2-positive staff provided by hospital COVID-19 response committees. Among the 245 eligible individuals, 178 were successfully contacted. Seventeen declined participation or were unavailable at the time of contact. Ultimately, 161 participants were enrolled in the study and included in the final analysis. No significant differences in age, sex, or professional category were observed between respondents and non-respondents.
2.5. Data Collection
Data were collected through face-to-face interviews using a structured and pre-tested questionnaire administered by trained investigators. The questionnaire gathered information on sociodemographic characteristics, occupational factors (job category, department assignment as clinical or non-clinical, and hospital affiliation), and clinical features of OD occurring during SARS-CoV-2 infection, including type of disorder, onset characteristics, presence of nasal obstruction, associated dysgeusia, duration, and recovery.
2.6. Psychophysical Olfactory Test
A simplified psychophysical olfactory test was proposed to participants reporting persistent olfactory symptoms or uncertainty regarding complete recovery. Designed as a pragmatic tool adapted to the local context, the test was based on the sequential identification of five familiar odorants (lemon, roasted peanut, fresh onion, heated eucalyptus leaves, and khoumra), yielding a total score ranging from 0 to 5.
A score ≤ 2 defined persistent anosmia, a score of 3 or 4 indicated partial recovery, and a score of 5 corresponded to normal olfactory function. Odorants were presented in a standardized order for all participants, in a well-ventilated environment and without blinding. This test was not formally validated against standardized olfactory batteries and should therefore be considered a complementary pragmatic assessment tool rather than a normative diagnostic instrument.
2.7. Assessment of Functional Impact
The functional impact of OD on quality of life and professional practice was evaluated using a visual analog scale (VAS) ranging from 0 (no impact) to 10 (maximum impact). Participants were also asked to report specific difficulties encountered, particularly impairment in daily activities and reduced ability to detect potentially hazardous odors in the hospital environment.
2.8. Statistical Analysis
Statistical analyses were performed using SPSS version 26 (IBM Corp., Armonk, NY, USA). Categorical variables were expressed as frequencies and percentages and compared using Pearson’s chi-square test or Fisher’s exact test, as appropriate. Continuous variables were summarized as means ± standard deviations.
Variables with a p value < 0.20 in univariate analysis were entered into a multivariable logistic regression model using a backward stepwise approach to identify factors independently associated with OD. Department assignment (clinical vs. non-clinical) was used as a proxy for occupational exposure intensity. Profession and hospital affiliation were excluded from the final model due to collinearity with department assignment. Statistical significance was defined as p < 0.05.
2.9. Ethical Considerations
The study protocol was approved by the National Ethics Committee of the Ministry of Public Health of Chad. Written informed consent was obtained from all participants prior to enrollment. Data were collected anonymously and handled in strict confidentiality.
3. Results3.1. General Characteristics of the Study Population
A total of 161 hospital staff members with RT-PCR-confirmed SARS-CoV-2 infection were included in the analysis. The sociodemographic and occupational characteristics of participants are summarized in Table 1.
The mean age was 36.4 ± 8.7 years (range: 23 - 58 years), and men represented 113 participants (70.2%). The most represented age groups were 31 - 40 years (57; 35.4%) and 20 - 30 years (55; 34.2%).
Nurses, physicians, and nursing assistants accounted for 121 participants (75.2%). Seventy-five participants (46.6%) were assigned to clinical departments with high potential exposure to SARS-CoV-2, including internal medicine, emergency medicine, and intensive care units. Regarding hospital distribution, 58 participants (36.0%) were employed at the National Reference University Hospital Center and 35 (21.7%) at Refondation Hospital.
3.2. Prevalence of Olfactory Dysfunction
Olfactory dysfunction (OD) during SARS-CoV-2 infection was reported by 115 participants, yielding a prevalence of 71.4%. The distribution of OD according to sociodemographic and occupational characteristics is detailed in Table 2 and Table 3.
The prevalence of OD decreased significantly with age (p < 0.001), from 80.7% in the 31 - 40-year age group (46 participants) to 43.8% among those aged 51 - 60 years (7 participants). OD was more frequently reported in men than in women (75.2% vs. 62.5%); however, this difference did not reach statistical significance (p = 0.09).
Healthcare workers were significantly more affected than non-healthcare staff (106; 78.5% vs. 9; 34.6%, p < 0.001). A comparable pattern was observed according to department assignment, with higher prevalence in clinical services than in non-clinical departments (68; 90.7% vs. 47; 54.7%, p < 0.001).
Marked inter-hospital variability was observed, with OD prevalence ranging from 50.0% (9 participants) at the Chad-China Friendship Hospital to 86.7% (26 participants) at the Renaissance University Hospital Center (p = 0.008).
Table 1. Sociodemographic and professional characteristics of the study population (n = 161).
Variable
n
%
Sex
Male
113
70.2
Female
48
29.8
Age group (years)
20 - 30
55
34.2
31 - 40
57
35.4
41 - 50
33
20.5
51 - 60
16
9.9
Profession
Nurse
45
28.0
Physician
41
25.4
Nursing assistant
35
21.7
Midwife
8
5.0
Radiology technician
6
3.7
Laboratory technician
9
5.6
Administrative staff
11
6.8
Biomedical staff
6
3.7
Department
Medicine/Emergency/Intensive Care
75
46.6
Surgery
44
27.3
Pediatrics/Maternity
10
6.2
Medical imaging
6
3.7
Laboratory
9
5.6
Administrative department
11
6.8
Biomedical department
6
3.7
Hospital
Renaissance University Hospital Center
30
18.6
National Referral University Hospital Center
58
36.0
Mother and Child University Hospital Center
20
12.4
Refondation Hospital
35
21.7
Chad-China Friendship Hospital
18
11.2
Table 2. Distribution of olfactory dysfunction (OD) according to sociodemographic and professional characteristics.
Variable
Total (n)
OD cases (n)
% within group
Sex
Male
113
85
75.2
Female
48
30
62.5
Age group (years)
20 - 30
55
41
74.5
31 - 40
57
46
80.7
41 - 50
33
21
63.6
51 - 60
16
7
43.8
Profession
Nurse
45
40
88.9
Physician
41
32
78.0
Nursing assistant
35
29
82.9
Midwife
8
2
25.0
Radiology technician
6
3
50.0
Laboratory technician
9
2
22.2
Administrative staff
11
4
36.4
Biomedical staff
6
3
50.0
Department
Medicine/Emergency/Intensive Care
75
68
90.7
Surgery
44
31
70.4
Pediatrics/Maternity
10
4
40.0
Medical imaging
6
3
50.0
Laboratory
9
2
22.2
Administrative department
11
4
36.4
Biomedical department
6
3
50.0
Hospital
Renaissance University Hospital Center
30
26
86.7
National Referral University Hospital Center
58
38
65.5
Mother and Child University Hospital Center
20
13
65.0
Refondation Hospital
35
29
82.9
Chad-China Friendship Hospital
18
9
50.0
Table 3. Factors associated with olfactory dysfunction (OD): univariate analysis.
Factor
Category
OD prevalence (%)
p value
Statistical test
Sex
Male
75.2
0.09
Pearson’s
χ2
Female
62.5
Age (years)
20 - 30
74.5
<0.001
χ2
for trend
31 - 40
80.7
41 - 50
63.6
51 - 60
43.8
Profession
Healthcare workers*
78.5
<0.001
Pearson’s
χ2
Non-healthcare workers**
34.6
Department
Clinical departments***
78.5
<0.001
Pearson’s
χ2
Non-clinical departments****
34.6
Hospital
Overall range
50.0 - 86.7
0.008
Pearson’s
χ2
*Nurses, physicians, nursing assistants, midwives, radiology technicians. **Laboratory technicians, administrative and biomedical staff. ***Medicine/Emergency/Intensive Care, Surgery, Pediatrics/Maternity, Medical imaging. ****Laboratory, Administrative and Biomedical departments.
3.3. Factors Associated with Olfactory Dysfunction
The results of the multivariable logistic regression analysis are presented in Table 4.
Assignment to a clinical department was the primary factor independently associated with OD (adjusted odds ratio [aOR]: 12.4; 95% CI: 5.2 - 29.8; p < 0.001). Age was inversely associated with OD, with an aOR of 0.94 per additional year (95% CI: 0.90 - 0.98; p = 0.002).
Sex (p = 0.15) and profession considered individually (p = 0.12) were not independently associated with OD in the multivariable model.
3.4. Clinical Characteristics of Olfactory Dysfunction
Among the 115 participants reporting OD, total anosmia was the predominant phenotype (105; 91.3%), followed by hyposmia (6; 5.2%) and parosmia (4; 3.5%) (Table 5).
Table 5. Clinical characteristics of olfactory dysfunction among affected participants (n = 115).
Characteristic
n
%
Type of dysfunction
Complete anosmia
105
91.3
Hyposmia
6
5.2
Parosmia
4
3.5
Time to onset
Initial symptom
31
27.0
Early onset (≤3 days)
59
51.3
Late onset (>3 days)
25
21.7
Mode of onset
Sudden (≤48 h)
98
85.2
Progressive (>48 h)
17
14.8
Associated features
Without nasal obstruction
101
87.8
With nasal obstruction
14
12.2
Associated dysgeusia
115
100.0
Onset was sudden (≤48 hours) in 98 participants (85.2%) and occurred in the absence of nasal obstruction in 101 (87.8%). Associated dysgeusia was reported by all participants (115; 100%).
3.5. Course of Olfactory Dysfunction
All participants reporting OD (n = 115) received treatment according to the national COVID-19 management protocol; 81 (70.4%) required hospitalization.
Figure 1. Outcome of olfactory dysfunction after SARS-CoV-2 infection among healthcare workers (n = 115). Complete recovery was observed in 104 participants (90.4%), partial recovery in 5 (4.3%), and persistent anosmia in 6 (5.2%).
The evolution of OD is illustrated in Figure 1. Complete recovery was observed in 104 participants (90.4%), partial recovery in 5 (4.3%), and persistent anosmia in 6 (5.2%).
Among participants with complete recovery (n = 104), the mean duration of OD was 13.1 ± 5.5 days, with a median of 11 days (range: 3 - 28 days). As illustrated in Figure 2, recovery most commonly occurred within the first two weeks following symptom onset.
Figure 2. Duration of olfactory dysfunction among participants with complete recovery (n = 104). Distribution of recovery times, showing that normalization of olfactory function occurred predominantly within the first two weeks after symptom onset.
3.6. Results of the Psychophysical Olfactory Test
A simplified psychophysical olfactory test was administered to 15 participants reporting persistent symptoms or uncertainty regarding recovery.
Objective testing confirmed persistent anosmia in 6 participants (40.0%), partial recovery in 5 (33.3%), and normal olfactory function in 4 (26.7%).
3.7. Functional Impact of Olfactory Dysfunction
The overall functional impact of OD, assessed using a visual analog scale (VAS), is presented in Table 6. The mean impact score was 4.0 ± 2.2.
Table 6. Functional impact of olfactory dysfunction reported by healthcare workers (n = 115).
Aspect of impact
n
%
Overall impact score (VAS 0 - 10)
Mild impact (0 - 4)
80
69.6
Moderate to severe impact (5 - 10)
35
30.4
Specific consequences
Loss of appetite
81
70.4
Difficulty detecting chemical odors
58
50.4
A low impact (VAS 0 - 4) was reported by 80 participants (69.6%), whereas 35 participants (30.4%) reported a moderate to severe impact (VAS 5 - 10). The most frequently reported consequences were loss of appetite (81; 70.4%) and difficulty detecting potentially hazardous odors, such as chemicals or smoke (58; 50.4%). Qualitative reports also described professional discomfort, particularly in tasks requiring olfactory detection.
4. Discussion
This multicenter study conducted among healthcare workers in N’Djamena demonstrates a high prevalence of olfactory dysfunction (71.4%) following SARS-CoV-2 infection. This prevalence falls within the upper range reported in early European and international studies, where prevalence varied between 40% and 86%, depending on the populations studied, circulating variants, and assessment methods used [1]-[3][10][11]. The addition of psychophysical testing to self-reported symptoms has been shown to reveal a broader extent of olfactory impairment, suggesting that the true impact of SARS-CoV-2 on olfaction may be underestimated in many series [3][12]. In a sub-Saharan African setting that remains sparsely documented and within a highly exposed professional population, our findings confirm that olfactory dysfunction is a major clinical marker of COVID-19.
From a clinical perspective, the phenotype observed in our cohort—sudden-onset, non-obstructive anosmia associated with near-constant dysgeusia—corresponds to the now well-established olfactory signature of COVID-19 [2][13]. The absence of nasal obstruction in most participants distinguishes these disorders from classical post-viral anosmia, which is typically accompanied by nasal congestion [1]. These features are consistent with pathophysiological evidence showing that SARS-CoV-2 preferentially targets sustentacular cells of the olfactory epithelium expressing ACE2 and TMPRSS2, rather than olfactory sensory neurons themselves [6][10][11]. Damage to these supporting cells disrupts epithelial architecture and the neuronal microenvironment, which may explain the severity of olfactory loss despite relative neuronal preservation [6][10][14]. The near-systematic association between anosmia and dysgeusia observed in our study likely reflects combined impairment of orthonasal and retronasal olfactory pathways, a mechanism widely documented in the literature [8][15][16].
A major finding of this study is the determinant role of occupational exposure. Healthcare workers assigned to clinical departments had a more than twelve-fold higher risk of olfactory dysfunction compared with non-clinical staff, independently of age and sex. This observation reinforces international evidence indicating increased vulnerability among frontline healthcare workers repeatedly exposed to high viral loads [6][15][16]. Initial viral load may therefore represent a key factor modulating the intensity of olfactory impairment. The inter-hospital variability observed further suggests that organizational factors—such as the availability of personal protective equipment or patient management practices—may influence exposure risk [17].
The categorization of professions as healthcare versus non-healthcare and departments as clinical versus non-clinical was based on the level of direct patient contact and presumed exposure to SARS-CoV-2. Although this classification may oversimplify heterogeneous exposure patterns within departments, it provides a pragmatic framework for approximating occupational risk in a resource-limited setting and should be interpreted accordingly.
Age was inversely associated with the occurrence of olfactory dysfunction, with younger participants being more frequently affected. This finding aligns with several international studies reporting a higher prevalence of olfactory impairment among young and middle-aged adults [18]-[20]. Proposed explanations include age-related differences in ACE2 expression in the nasal mucosa [21], a more robust local inflammatory response in younger individuals, or a physiological decline in baseline olfactory sensitivity with aging, which may render olfactory loss less perceptible in older subjects.
The clinical course of olfactory dysfunction was generally favorable, with complete recovery reported in more than 90% of participants within two weeks, consistent with longitudinal data [9][22]-[24]. Nevertheless, a small proportion experienced persistent symptoms, confirming that approximately 5% - 10% of patients may develop long-term olfactory sequelae following COVID-19 [25]-[27]. These persistent cases warrant specific management, particularly olfactory training, which is currently recommended as first-line therapy in international guidelines [27].
An original contribution of this study lies in the assessment of the functional and occupational impact of olfactory dysfunction. A substantial proportion of healthcare workers reported difficulty detecting potentially hazardous odors, such as chemicals or smoke, raising important safety concerns within the hospital environment. Reduced appetite and diminished quality of life were also frequently reported, consistent with existing evidence on the broader consequences of olfactory disorders [15][16].
Study Limitations and Strengths
This study has several limitations. Olfactory dysfunction was self-reported and retrospectively assessed with a median delay of 16 weeks (range: 8 - 24 weeks), which may have introduced recall bias [12]. Psychophysical testing was conducted in a limited subgroup using a simplified, non-validated protocol, potentially leading to misclassification of residual dysfunction. In addition, the study included only RT-PCR-confirmed cases during a specific epidemic period, which may limit generalizability to other variants, milder community infections, or different epidemiological contexts. The cross-sectional design further precludes long-term follow-up and limits causal inference.
Despite these limitations, the multicenter design and focus on a highly exposed professional population strengthen the relevance of the findings. This study provides original data from sub-Saharan Africa on COVID-19-related olfactory dysfunction among healthcare workers and underscores the importance of systematic evaluation of these disorders in post-COVID follow-up, given their clinical and occupational implications.
5. Conclusions
Olfactory dysfunction represents a frequent manifestation of SARS-CoV-2 infection among healthcare workers in N’Djamena, affecting more than two-thirds of infected individuals. Its occurrence is strongly associated with occupational exposure in clinical settings and is more commonly observed among younger staff members. Clinically, these disorders display the characteristic COVID-19 phenotype and generally follow a favorable course, although persistent forms occur in a minority of cases.
Beyond their diagnostic relevance, olfactory disorders carry meaningful functional and occupational implications, particularly regarding workplace safety. These findings highlight the importance of systematic evaluation of olfactory dysfunction in post-COVID follow-up among healthcare workers and support the implementation of targeted preventive and management strategies, especially in resource-limited settings.
Acknowledgements
The authors express their sincere gratitude to the administrations of the participating hospitals—Renaissance University Hospital Center, National Reference University Hospital Center, Mother and Child University Hospital Center, Refondation Hospital, and Chad-China Friendship Hospital—for their collaboration and institutional support in the conduct of this study. They also thank all healthcare workers who agreed to participate in the survey, as well as the medical students involved in data collection.
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