- Open Access
Stigma toward people with COVID-19 among the Lebanese population: a cross-sectional study of correlates and mediating effects
BMC Psychology volume 9, Article number: 164 (2021)
Stigma develops during outbreaks such as the COVID-19 pandemic due to the human fear that arises from the anxiety about a disease of an unknown etiology, with the associated detrimental consequences on both the individual and society. This study was conducted to assess if knowledge about COVID-19, attitude, practice and behavior regarding preventive measures against COVID-19, fear, and anxiety towards COVID-19 will affect the level of stigma and evaluate the mediating effect of fear, anxiety, and diagnosis of COVID-19 on stigma.
A cross-sectional online survey conducted between December 20, 2020, and January 05, 2021, enrolled 405 participants recruited from the Lebanese population. Two scales were created and adapted to the Lebanese context to measure the current stigma (stigma discrimination scale, self-stigma scale) toward COVID-19.
More than half of the sample had moderate to severe stigma discrimination (62%) and self-stigma (65.9%). The multivariable analysis showed that higher fear of COVID-19 scale (Beta = .143) was significantly associated with a higher stigma discrimination scale. Whereas, higher knowledge score (Beta = −.153) was significantly associated with a lower stigma discrimination scale. Fear of COVID-19, anxiety from COVID-19, being diagnosed with COVID-19, and having a family member with COVID-19 partially mediated the association between knowledge and stigma discrimination scale. No mediation effect of fear and anxiety scale was found between the knowledge and self-stigma score.
Our main findings indicate that a considerable proportion of the Lebanese population has stigma discrimination behaviors toward COVID-19 patients and that those who were infected with the virus experienced COVID-19-related stigmatization.
Today humanity is facing one of the biggest challenges of the century since the first case of coronavirus disease 2019 (COVID-19) was detected in China and classified as a pandemic. The novel coronavirus-2 (SARS-CoV2) is rapidly spreading and affecting millions of people worldwide, with a mortality rate of 2.2%, as reported by the World Health Organization (WHO) on February 2, 2021 . In Lebanon, the first case of COVID-19 was diagnosed in February 2020; since then, the numbers have steadily increased, which mandated several lockdowns, in an attempt to limit virus transmission . The nature widespread of COVID-19 has raised global concerns as, in the absence of effective treatment, therapy remains empirical and symptomatic [3,4,5,6]. Thus, to minimize the virus’ spread, efforts are focusing on prevention, including social distancing, awareness through public health education, and hygiene practices in daily routines, in addition to sanitary lockdown . Moreover, this pandemic has had a psychological impact on people, manifested by anxiety, sadness, and depression .
Another notable factor associated with this pandemic is the stigma in its two dimensions (public stigma and self-stigma), previously documented with other infectious, physical, and psychological health disorders, especially when isolation and quarantine are involved . Public stigma consists of prejudice, stereotypical beliefs, and discriminatory behaviors, such as disallowing COVID-19 patients from full community participation . Self-stigma is the internalization of the negative views and feelings of others and social devaluation of the illness, occurring when individuals come to believe the negative societal conceptions and stereotypes associated with their condition . Perceived devaluation and discrimination is thought to lead to diminished self-esteem and self-efficacy . A person with an undesired condition is aware of public stigma about their condition, subsequently, the person concurs that these stereotypes apply to them and might lead to harm, to significant decreases in self-esteem and self-efficacy . Believing that one belongs to a stigmatized group can lead to negative social comparisons, feelings of inferiority, inadequacy, and self-criticism . Self-criticism could triggers the emotional response of thinking as being attacked, persecuted or feeling with anger, disgust or hate consequently increasing vulnerability, expression of symptoms and elevate risk of relapse of a disease . Several studies have evaluated the association between personality traits and stigma [15,16,17]. For example a study done by Arikan among 700 university students have found a strong association between narcissistic personality and the tendency to stigmatize others . Another study done by Brown among 605 college students found that openness and agreeableness were negatively associated with stigma towards severe mental illness .
Stigma or stigmatization develops during outbreaks due to the human fear that arises from the anxiety about a disease of an unknown etiology, with the associated detrimental consequences on both individual and society levels . In many countries, the dramatic global increase in the number of persons infected with the COVID-19 virus has raised public fear and concerns . Thus, a new form of discrimination emerged in some societies against individuals infected or in close contact with patients with COVID-19 . Also, anxiety and worry for being stereotyped has shown to lead to delaying or even masking the diagnosis by postponing the sought of healthcare services of symptomatic patients and under-detecting infectious people . Delayed diagnosis has been associated with prognostic deterioration due to an increase in the viral load, mainly in the elderly and vulnerable groups facilitating the rapid spread of both COVID-19 and its complications .
The level of stigma associated with COVID-19 is based on many factors, as it is a recent disease surrounded by many controversies, and people are often afraid of the unknown, associating their fear with other infected people . Some persons became fearful of suspicious or infected persons as they are actual risk factors for COVID-19 disease and they held negative attitudes and beliefs toward them . Stigma or discriminatory behaviors may increase due to a lack of knowledge of the novel coronavirus disease, means of transmission, effective treatment options, and preventive strategies [18, 24]. Stigma towards COVID-19 is due to the fear of its mortality and high communicability that can be resolved through proper education and transparent healthcare policies . Also, excessive misinformation could act as a driver or facilitator of stigmatization linked to COVID-19 . Thus, improving knowledge would reduce stigma perceptions, particularly among vulnerable groups, including low-income, low-educated, rural residents, and older people . Previous literature has also highlighted that people with better personal resources, such as higher income, higher educational level, better social support, and good mental health, are more knowledgeable about emerging infectious diseases, thus less likely to stigmatize [27, 28]. Furthermore, stigma has been practiced more in some communities, where people are blamed and criticized for spreading the virus .
Several countries have reported stigma associated with COVID-19, which may dramatically increase the level of stress when information is disclosed on social media platforms [30, 31]. However, there is scarce COVID-19-specific stigma research despite the fact that stigma can affect health outcomes. Most of the scientific articles found in the literature are in the form of a review, letter to the editor or commentary [30,31,32,33]. Only two studies to our knowledge have been found in the Arab countries that assessed the stigma level toward COVID-19 patients [34, 35]. A study done in Jordan among 1655 participants from the general population have found that the prevalence of stigma towards infected people and their contact was 64% . Another study done in Egypt among 509 physicians have found that 31.2% of participants reported severe level of COVID-19-related stigma . Thus, it is crucial to evaluate factors associated with stigma since it can undermine family connections, weaken society cohesion, and prompt social isolation of groups, resulting in more severe health problems and difficulties controlling a disease outbreak .
Outbreaks of infectious diseases such as the COVID-19 are often related to a greater fear of contracting the disease, which can lead to emotions of anxiety and mistrust among the general people . As a result of this fear and anxiety, some communities have begun to discriminate against people who are infected with COVID-19 or who get the disease . Consequently, stigma arose from a lack of understanding or fear and anxiety about a disease, which is defined as negative attitudes and beliefs about people, places, or things . In addition, those who contracted the virus might feel judged by others or by themselves and might hide their illness to avoid discrimination . The COVID-19 patients were accused of being ignorant and careless, and hence are considered responsible for contracting the virus . The COVID-19 patients were stereotyped as coronavirus spreaders who were actively spreading the virus . As a result of this misconception, society adopted a number of negative behaviors and discriminative attitudes against them . Therefore, stigma could be a consequence of a lack of understanding of how COVID-19 spreads, a desire to blame someone, fear of disease and concerns from the unknown, and gossip that spreads rumors and myths . Based on this information and since no previous theoretical framework was found, a conceptual model was specially constructed for this study to understand the directional association between knowledge, fear, anxiety, being diagnosed with COVID-19, having a family member with COVID-19 and stigma (Fig. 1).
In Lebanon, no previous research has assessed stigma toward COVID-19 and its associated factors. Therefore, this study aims to explore whether knowledge about COVID-19, attitude, practice and behavior regarding preventive measures against COVID-19, fear, and anxiety towards COVID-19 will affect stigma levels and evaluate the mediating effect of fear, anxiety, and diagnosis of COVID-19 on stigma.
Study design and sampling
A cross-sectional online survey conducted between December 20, 2020, and January 05, 2021, enrolled 405 participants recruited from the Lebanese population. In this study, we report all measures, manipulations and exclusions. Data collection was carried out through an anonymous self-administered questionnaire developed on Google Forms and shared on various social media platforms (WhatsApp, Facebook, and Instagram)
(https://forms.gle/jQXG1E3ScHbhDb5W6) (Additional File 1), using the snowball sampling technique. In turn, participants were encouraged to share the form with their friends and contacts. All people above 18 years with access to the internet were eligible to participate. All participants were aware of the general purpose of the study and gave prior informed consent. Participation in this study was voluntary, and participants received no incentive in return.
Sample size calculation
The Epi Info™ software (Centers for Disease Control and Prevention, Epi Info™) calculated a minimum sample of 354 participants, considering a Lebanese population of 6,856,000  and a prevalence of 64% of individuals having stigma towards people with COVID-19 (based on a Jordan study ), with a 95% confidence level, and an alpha error of 5%. The target was 390 participants after adding 10% (n = 35.4) to take into account non-response or missing data; the final sample included 405 participants. In the absence of similar research in Lebanon, all the calculations were based on the Jordanian study. Sample size was determined before any data analysis.
The online survey tool, available in English and Arabic, included open and closed-ended questions and consisted of two parts.
The first part of the questionnaire consisted of sociodemographic characteristics such as age, gender, marital status, educational level, monthly income, employment status, the region of residence, number of people living in the house, number of rooms in the house, and religion. It also included questions related to direct or indirect contact with infected people, in addition to diagnosis and testing status with COVID-19. The household crowding index was calculated by dividing the number of persons living in the house by the number of rooms, excluding the kitchen and bathrooms. The monthly income was divided into four levels: no income, low < 1000 USD (United States Dollar), intermediate 1000–2000 USD, and high income > 2000 USD. The official exchange rate was considered: 1 USD = 1500 Lebanese Pounds (LBP). To differentiate between those who have been diagnosed with COVID-19, a dichotomized question was asked as follows: “Have you been diagnosed with COVID-19? (Yes or No)”. Also, a question was asked if people have ever gotten tested for COVID-19 as follows: “Have you been tested for COVID-19? (Yes or No)”.
The second part of the questionnaire consisted of several scales used in this study:
Two scales were developed and used according to the type of stigma: the stigma discrimination scale and the self-stigma scale.
At the time of the study, no particular tools for assessing the COVID-19-related stigma were available in the literature, except for one instrument related to COVID-19 self-stigma among healthcare workers after quarantine in Vietnam . Therefore, other instruments used to measure self-stigma and stigma discrimination in the general population in other viral epidemics were sought, and the only available were those used during the HIV/AIDS pandemic [41,42,43,44]. In 2004, Verma et al.  created a scale, based on the modified HIV Berger scale , to measure stigma among healthcare workers during the SARS pandemic. Thus, after a thorough literature review, we created and adapted two scales to measure stigma discrimination and self-stigma during COVID-19.
The Stigma Discrimination Scale (SDS-11)
It consists of 11 items selected from previous studies [41,42,43] and measures the discriminatory attitude toward people with COVID-19. All items are rated on a 5-point Likert scale from 1 (Strongly disagree) to 5 (Strongly agree). Examples of the items include: “You feel it is not worthwhile for you to serve persons who contracted COVID-19,” “People with current COVID-19 are dangerous to the society,” and “People with current COVID-19 should not have the same freedoms as other people.” The total stigma discrimination score calculated by summing all the answers ranges from 11 to 55, with higher scores indicating a higher level of stigma discrimination. In this study, the scale showed excellent reliability with a Cronbach’s alpha of 0.917.
The Self-Stigma Scale (SSS-15)
This tool includes 15 items selected from COVID-19-related stigma  and the HIV Berger scale ; it measures self-stigma (i.e., the negative attitudes, including internalized shame about own condition) in people previously or currently infected with COVID-19 only. The items are rated on a 5-point Likert scale from 1 (Strongly disagree) to 5 (Strongly agree). Examples of the items include: “I feel guilty because of being isolated,” “People have physically backed away from me when they learned I have COVID-19,”and “I have been hurt by how people reacted to learning I have COVID-19”. The total self-stigma score, ranging from 15 to 75, is the sum of answers to all 15 items. Higher scores indicate higher levels of self-stigma. In this study, the scale showed excellent reliability with a Cronbach’s alpha of .917.
In the absence of a cut-off value for any stigma scale worldwide, the percentile was used to categorize both scales. This approach suggested by Charles et al.  in their study of stigma toward HIV/AIDS, categorized people into three groups: no or mild, moderate, and severe stigma, using the 33rd and 66th percentile cut-off values from the distribution of scores.
Thus, in our study, both stigma scales were classified into three categories: 0 to 33% (no or mild stigma), 33 to 66% (moderate stigma), and > 66% (severe stigma).
Fear of COVID-19 scale (FCV-19S)
The FCV-19S is a 7-item scale developed to assess the fear of COVID-19 among the general population . In this study, the Arabic validated version of the FCV-19S was used . Examples of the items include: “I am most afraid of coronavirus-19,” “My hands become clammy when I think about coronavirus-19,” “I cannot sleep because I’m worrying about getting coronavirus-19.” Items are rated on a 5-point Likert scale from 1 (Strongly disagree) to 5 (Strongly agree). A total score is calculated by adding up each item score with a higher score indicating greater fear of COVID-19 . In this study, the scale showed acceptable reliability with a Cronbach’s alpha of 0.856.
Coronavirus Anxiety Scale (CAS)
The CAS is a self-report 5-item scale, measuring physiologically-based symptoms triggered by information and thoughts relevant to COVID-19 . Participants are asked to rate how often they experienced each symptom of anxiety over the past two week. The measure is scored on a 5-point Likert scale from 0 (Not at all) to 4 (Nearly every day). Examples of the items include: “I felt dizzy, lightheaded, or faint, when I read or listened to news about the coronavirus,” “I felt paralyzed or frozen when I thought about or was exposed to information about the coronavirus,” and “I felt nauseous or had stomach problems when I thought about or was exposed to information about the coronavirus.” The total score is calculated by summing the five items, with higher scores indicating higher anxiety toward COVID-19 . In this study, the scale showed good reliability with a Cronbach’s alpha of 0.846.
Knowledge, attitude, and practice (KAP) toward the COVID-19 pandemic
The questions used to assess KAP toward COVID-19 were selected from previous studies conducted among health professionals and the general population [50,51,52,53,54,55,56] and adapted to this research.
Knowledge sub-scale: Twenty multiple-choice items (with single- and multiple-option answers) were used in this section to assess the knowledge regarding the COVID-19 disease. All answers were coded as binary variables (1 = Yes, 0 = No); multiple-option questions were considered as separate variables. Examples of the items include: “For how long should a person be isolated in case of COVID-19 infection suspicion (mild symptoms or contact with an infected persons),” “If a suspected person tests negative but has no symptoms,” and “Can someone who has been quarantined for COVID-19 spread the illness to others?”. The total was calculated by summing all the correct answers ranged from 0 to 29, where a higher score would indicate higher knowledge about COVID-19. In this study, the scale showed acceptable reliability with a Cronbach’s alpha of 0.557.
Attitude sub-scale: Six questions assessed the positive attitudes toward preventive measures, adherence to government actions, and adaptive steps toward COVID-19. All questions are measured on a 3-point Likert scale from 1 (Disagree) to 3 (Agree). Examples of the items include: “Do you think social distancing/self-isolation is an effective measure to reduce the spread of COVID-19?” “Keeping up with the information regarding the government’s call for COVID-19 preventive efforts is important for the community,” and “People with COVID-19 who isolate themselves show that they have a responsibility in preventing the transmission of COVID-19”. The total attitude score created by summing the six answers ranged from 6 to 18, where a higher score would indicate a more positive attitude towards COVID-19. In this study, the scale showed acceptable reliability with a Cronbach’s alpha of 0.615.
Practice sub-scale: Twenty-four items evaluated positive practice and behavior regarding preventive measures against COVID-19. All questions were rated on a 5-point Likert scale from 1 (Never) to 5 (Always). Examples of the items include: “In the last few days, have you worn a mask when you were in a crowded place?” “Do you maintain social distancing (or home quarantine)?” and “Do you clean/disinfect your mobile phone?” The total practice score calculated by summing the 24 items ranged from 24 to 120, with higher scores indicating appropriate safety practice towards COVID-19. In this study, the scale showed excellent reliability with a Cronbach’s alpha of 0.900.
All the scales, except the FCV-19S scale, were translated from English into Arabic, following the forward and backward translation method. Two authors performed the translation from English into Arabic, and another two did the back-translation. Discrepancies were resolved by consensus between the original English edition and the translated one.
A pilot study was conducted on ten subjects to check the clarity of the questionnaire and test for the acceptability of questions. Related data were included in the final dataset and they did not affect neither negatively or positively on the current study result.
Data were analyzed on SPSS software version 25. Cronbach’s alpha was calculated for the reliability analysis of all scales. A descriptive analysis was performed using absolute frequencies and percentages for categorical variables and means and standard deviations (SD) for quantitative measures. Student’s t-test or ANOVA F tests were used for categorical variables with two or more levels, respectively, to assess the association of variables with continuous stigma scales. The Pearson correlation coefficient “r” was used to measure the association between continuous variables.
Construct validity of the two stigma scales was assessed using a principal component analysis. To ensure the model’s adequacy, Kaiser–Meyer–Olkin measure of sampling adequacy and Bartlett’s test of sphericity were calculated. Factors with eigenvalues values larger than one were retained and the scree plot method was used for determining the number of components to extract . Only items with factor loading larger than 0.4 were considered . Moreover, the internal consistency of the stigma scales was assessed using Cronbach's alpha.
Three linear regressions were performed, taking the stigma discrimination scale and the self-stigma scale as the dependent variables. The stepwise method was used to simultaneously remove the weakest correlated variables and come up with a model that best explains the distribution. The unstandardized coefficient “Beta” was used to measure the effect of the factors on the dependent variables. All the variables that showed a p-value < 0.2 in the bivariate analysis were included in the model to eliminate potential confounding factors.
The Johnson-Neyman technique (CAHOST method) was used to perform a moderation analysis where explanatory variables interact to affect a desired response . Four models were used to assess the effect of knowledge on stigma discrimination. This effect depending on fear from COVID-19 (model 1), anxiety from COVID-19 (model 2), being diagnosed with COVID-19 (model 3) and the diagnosis of a family member with COVID-19 (model 4). The CAHOST method generated simple slopes graphs and 95% confidence intervals (CI) to test the significance of the effect . The moderating effect was significant when the CI did not include zero . The covariates included in the models showed significant associations with the stigma discrimination scale in the bivariate analysis.
The PROCESS SPSS Macro version 3.4 model four was used to calculate three pathways in the mediation analysis. Pathway A determined the regression coefficient for the effect of knowledge on fear, anxiety, and diagnosis of COVID-19. Pathway B examined the association between anxiety, fear, and diagnosis of COVID-19 on stigma, independent of the knowledge level, and pathway C estimated the total and direct effect of knowledge on stigma. Pathway AB calculated the indirect intervention effects. The macro generated bias-corrected bootstrapped 95% confidence intervals (CI) to test the significance of the indirect effect. Mediation was significant when the CI around the indirect effect did not include zero. The covariates that were included in the mediation model were those that showed significant associations with the stigma scales in the bivariate analysis. A p-value less than 0.05 was considered significant.
Table 1 summarizes the sociodemographic characteristics of the participants. The mean age of the participants was 28.38 (SD = 12.02) years, and the mean household crowding index was 1.14 (SD = 0.55). The majority of the participants were females (79.8%), single (68.1%), had a university education level (89.6%), lived in urban areas (73.3%), and had low and no income (58.8%). More than half of the participants were unemployed (55.8%), and only 28.1% had a family member working in the medical field. Only 10.1% of the participants were diagnosed with COVID-19, and only 27.9% had a history of COVID-19 in the family. More than half of the sample had moderate to severe stigma discrimination (62%) and self-stigma (65.9%).
Description of the scales used in the study
Table 2 describes all the scales used in this study in terms of mean, standard deviation (SD), median, minimum, and maximum.
A factor analysis using a principal component analysis technique was used to test the validity of the COVID-19 stigma discrimination scale and self-stigma scale and ensure the model’s adequacy. All items of the two scales could be extracted from the list and none of them were removed because no item over-correlated to each other (r > 0.9), had a low loading on factors (< 0.3) or a low communality (< 0.3). The Kaiser–Meyer–Olkin measure of sampling adequacy was 0.641 for the stigma discrimination scale and 0.717 for the self-stigma scale and Bartlett’s test of sphericity was significant (p < 0.001) for the two scales. Moreover, the COVID-19 stigma discrimination scale items produced four factors that had an eigenvalue over 1, the first factor explained 22.88% of the total variance, while the second explained 15.58%, the third 12.46%, and the fourth 10.20% making a total of 61.13% of the data variance. The total reliability of Cronbach’s alpha was 0.565 (Additional file 1: Table S1). The COVID-19 self-stigma scale items produced three factors that had an eigenvalue over 1, the first factor explained 46.69% of the total variance, while the second explained 16.54%, and the third 10.25% making a total of 56.16% of the data variance. The total reliability of Cronbach’s alpha was 0.917 (Additional file 1: Table S2).
The bivariate analysis taking the stigma discrimination as the dependent variable showed that lower scores were associated with being diagnosed with COVID-19 (M = 23.59; SD = 5.82) compared to not (M = 26.55; SD = 5.30), having tested for COVID-19 (M = 25.03; SD = 5.22) compared to not (M = 27.09; SD = 5.40), having had direct contact with COVID-19 patient (M = 25.39; SD = 5.44) compared to not (M = 26.44; SD = 5.36), having had direct contact with suspected COVID-19 case (M = 25.22; SD = 4.80) compared to not (M = 26.67; SD = 5.69) and having a family history of COVID-19 (M = 23.95; SD = 5.08) compared to not (M = 27.12; SD = 5.33). Whereas, higher stigma discrimination scores were significantly associated with being a health care worker (M = 25.88; SD = 5.44) compared to not (M = 28.22; SD = 4.88), fear of COVID-19 (r = 0.127, p = 0.010), and higher anxiety of COVID-19 (r = 0.118, p = 0.017). However, a higher knowledge score (r = -0.109, p = 0.028) was significantly correlated with a lower stigma discrimination score (Table 3).
Regarding the self-stigma scale, lower scores were associated with being a healthcare worker (M = 26.80; SD = 7.76) compared to not (M = 40.31; SD = 12.16), while having had indirect contact with COVID-19 case (M = 41.22; SD = 11.88) compared to not (M = 27.33; SD = 15.29) scored higher on the self-stigma scale (Table 3).
A first linear regression taking the stigma discrimination scale as the dependent variable showed that higher fear of COVID-19 scale (Beta = 0.143), being a Druze (Beta = 0.157), and being married (Beta = 0.123) were significantly and positively associated with higher SDS scores. Whereas, higher knowledge score (Beta = −0.153) was significantly associated with a lower SDS score (Table 4, Model 1).
A second linear regression taking the stigma discrimination scale as the dependent variable and adding the diagnosis of COVID-19 and having a family member with COVID-19 as independent variables showed that higher knowledge (Beta = −0.209), having a history of COVID-19 in the family (Beta = −0.284), being employed in the medical field (Beta = −0.410), having direct contact with suspected COVID-19 case (Beta = −0.208), and being diagnosed with COVID-19 (Beta = −0.144) were significantly associated with lower SDS scores. However, being a Muslim (Beta = 0.167), a Druze (Beta = 0.267), and married (Beta = 0.144) were significantly associated with higher SDS scores (Table 4, Model 2).
A second linear regression taking the self-stigma scale as the dependent variable in patients diagnosed with COVID-19 showed that being a Muslim (Beta = 12.294) and having indirect contact with COVID-19 case (Beta = 8.162) were significantly and positively associated with self-stigma; whereas, a high income (Beta = −12.157) was significantly associated with lower self-stigma (Table 4, Model 2).
Moderation Johnson–Neyman analysis
The moderation analysis showed the following (results presented in Addtional file 1, supplementary file 3, Table S1 and Table S2):
Model 1 shows the effect of knowledge on stigma discrimination. The effect of knowledge depended on fear from COVID-19 in a way that in case of low fear scores, a high knowledge score was associated with a lower stigma discrimination (Additional file 1: Figs. S1 and S2).
Model 2 shows the effect of knowledge on stigma discrimination. The effect of knowledge depended on anxiety from COVID-19 in a way that in case of high anxiety scores, a high knowledge score was associated with a lower stigma discrimination (Additional file 1: Figs. S3 and S4).
Model 3 shows the effect of knowledge on stigma discrimination. The effect of knowledge depended on COVID-19 diagnosis result, in a way that in the case of positive COVID-19 diagnosis, a high knowledge score was associated with a lower stigma discrimination. (Additional file 1: Fig. S5 and S6).
Model 4 shows the effect of knowledge on stigma discrimination. The effect of knowledge depended on the diagnosis result of a family member with COVID-19 in a way that in the case of positive diagnosis, a high knowledge score would have been associated with a lower stigma discrimination but the moderation effect was not significant (Additional file 1: Figs. S7 and S8).
Table 5 shows the mediating effect of fear and anxiety of COVID-19 between knowledge and stigma discrimination scale.
Fear of COVID-19, anxiety from COVID-19, being diagnosed with COVID-19, and having a family member with COVID-19 partially mediated the association between knowledge and stigma discrimination scale.
Diseases such as COVID-19 influence both the medical condition and mental health. People may experience discrimination, stigma, fear, guilt, and shame, affecting their mental condition and causing severe psychological issues. Our study evaluated the level of stigma among a sample of the Lebanese population and assessed factors related to stigma. Our findings revealed that 62% of the people discriminate against COVID-19 patients and that 65.9% of the participants who were infected with COVID-19 experienced self-stigma, similar to those of a study about COVID-19-related stigmatization among a sample of Egyptian healthcare workers, reporting 61% of stigma towards healthcare workers and 57.5% of self-stigma . Another study done in Jordan among 1655 individuals from the general population found that 64.8% of the participants stigmatize infected people and those exposed to infected people . The COVID-19 crisis has created pervasive feelings of negativity and stigmatization in society and has led people to avoid getting in contact or connecting with others . In certain cases, this situation has led to increased prejudice and discrimination, even hostility . Also, individuals with COVID-19 may mask their symptoms to prevent marginalization and stigma . This reactive behavior together with the stress caused by obscuring symptoms makes it easier for infectious diseases to spread, especially among those with mild symptoms who avoid seeking medical treatment and behave as normal to hide their illness .
Our results revealed that the fear of COVID-19 provokes higher discrimination stigma, in agreement with those of a study among 1687 adults from the general Columbian population, showing that high fear of COVID-19 was related to high stigma . Our findings are also consistent with those of previous studies, reporting an association between the levels of fear, stigma, and discrimination in past outbreaks of infectious diseases . It is well known that fear and anxiety about a disease can lead to higher stigma such as negative behaviors toward others and beliefs about persons, locations, or things . Throughout history, numerous contagious diseases have been stigmatized, such as Ebola and sexually transmitted diseases like HIV/AIDS. Over the past few years, severe acute respiratory syndrome (SARS) has emerged as a new feared disease, creating substantial stigmatization [64,65,66], as is the case with COVID-19, where the fear of the unknown and insufficient knowledge about the virus and its lethality stigmatize the illness [18, 67]. Increased fear adds to the risk of stigma, hence the importance of raising awareness about COVID-19. Warning about negative behaviors and giving hope by talking about people who recovered from COVID-19, supporting stigmatized groups, and spreading good news will help fight the stigma and increase empathy towards COVID-19 patients while decreasing fear and stigma .
In our study, a higher level of knowledge was associated with lower stigma. The same result was found in Chinese research, where participants with adequate knowledge reported lower levels of stigma toward COVID-19 patients, and those who easily found and understood information about COVID-19 expressed lower stigma . An Egyptian study also demonstrated that a higher knowledge score was significantly correlated with lower stigma discrimination scores . Stigma increases with insufficient knowledge about how COVID-19 is transmitted, treated, and prevented . In the general population, it is correlated with inadequate awareness and inconsistent facts regarding the transmission of COVID-19 . Indeed, people with better knowledge have more information about emerging infectious diseases, are less anxious, and less likely to stigmatize . Non-discriminatory behaviors are associated with enhanced COVID-19-related awareness, beliefs, and behaviors, and decreased stigma .
Regarding religiosity, our results showed that Druze and Muslims had a higher stigma than Christians. In Lebanon, the main religions are Islam (61% of the population) followed by Christianity (33.7%) . The Muslim faith is a collectivist community with unique values and beliefs, depending on individual experience and group view; these beliefs can delay or encourage stigma . Also, the exaggerated negative reactions of society against the Muslims and the Druze could be attributed to the role of media. Inaccurate reports spread negative perceptions about these two communities . A similar study in India has shown that the entire Muslim community was stigmatized as the spreader of the virus, using expressions such as “Corona terrorism,” “enemies of humanity” and “Corona Jihad” . In Turkey and the United Kingdom, conspiracy theories circulating on social media blamed Muslim immigrants for the virus [76, 77]. The political and religious issues in Lebanon contribute in favor of the stigma based on religious identity . As the first declared case of COVID-19 in the country was coming from Iran, the area and the community associated with the patient were stigmatized . With new cases diagnosed, the stigma was redirected to other patients of other faiths and residential areas .
Our findings revealed that fear and anxiety toward COVID-19, being diagnosed with COVID-19, and having a family member with COVID-19 mediated the association between knowledge and discrimination stigma, with the absence of a similar framework, exploring the relationships between these factors, in the literature. Most health-related stigma frameworks investigate psychological pathways, focusing either on persons experiencing stigma, those perpetrating it, or both [79,80,81,82,83]. A study among 1500 participants from the general Korean population has used a structural model to evaluate the effects of mass media usage and the level of knowledge on anxiety, and the mediating effect of fear of infection and prejudice against infected people . It found that COVID-19 knowledge has a major preventive effect on fear of infection, discrimination toward infected persons, and anxiety . Misconceptions about the disease and actions based on these misconceptions have been reported to contribute to a negative perception of infected people and lead to stigma or prejudice against them. Lack of awareness and knowledge about COVID-19 increases anxiety and fear by inducing negative emotions such as fear of infected persons [85,86,87]. Studies have found a correlation between the level of knowledge about infectious diseases and discriminatory thoughts against infected persons [88,89,90]. Also, it is well established that having a friend or family member who has tested positive is a factor that positively affects stigma . Indeed, having a family member with COVID-19 has been related to lower levels of perceived risk and anxiety  and reduced need for social distance, as well as lower discrimination behaviors [66, 93]. Those already diagnosed with COVID-19 will acquire sufficient knowledge and a better understanding of the disease, which could reduce the level of stigma and discriminatory behaviors . Also, patients with COVID-19 and their families may have experienced stigma, feeling judged by others, and marginalized from the community . These feelings and behaviors could mitigate the stigma toward the disease. Having adequate knowledge about COVID-19 can reduce stigma towards infected people and ultimately reduce anxiety. Further studies are needed to identify variables that promote and mediate the stigmatization process of individuals. Psychosocial distress such as depression, stress, anger and anxiety expressed among COVID-19 patients and survivors, must be addressed in future studies. In addition to the assessment of personality traits and self-esteem that could affect the level of stigma. Social support is critical in reducing the harmful impacts of stigma, which can lead to illness transmission and social instability.
This study has several limitations. First, its cross-sectional design cannot verify the causal relationship between stigma-related variables. Second, the study relies on self-reporting data where the answers of participants about their stigmatic attitudes may be biased because of social desirability. Third, due to social distancing measures during our investigation, we used a snowball approach rather than a representative method for sampling. Also, the instruments used to measure stigma were specifically designed for this study, in the absence of a specific tool to assess COVID-19-related stigma. Also, personality traits were not taken into account. Residual confounding bias is also possible since there might be stigma-related factors that were not assessed in this study.
Our main findings indicate that a considerable proportion of the Lebanese population have stigma discrimination behaviors toward COVID-19 patients and that those who had the virus experienced COVID-19-related stigmatization. Knowledge was associated with lower stigma while the fear of COVID-19 was related to higher stigma. Thus, public health education and raising community and media awareness about COVID-19 are necessary to reduce stigma. Providing targeted psychological support to citizens during a pandemic is also warranted.
Availability of data and materials
Data can be made available under reasonable request form the corresponding author.
Worldometers. COVID-19 coronavirus pandemic. https://www.worldometers.info/coronavirus/. Accessed 28 June 2020. 2020.
Republic of Lebanon. Ministry of Public Health. COVID-19 confirmed cases by Casa, Lebanon, 21 Feb-16 March 2020. https://www.moph.gov.lb/en/DynamicPages/index/127/27449/covid-19-confirmed-cases-by-casa-lebanon-21-feb-16-march-2020. Accessed 24 June 2021. 2021.
Ahmed SF, Quadeer AA, McKay MR. Preliminary identification of potential vaccine targets for the COVID-19 coronavirus (SARS-CoV-2) based on SARS-CoV immunological studies. Viruses. 2020;12(3):254.
Fantini J, Di Scala C, Chahinian H, Yahi N. Structural and molecular modelling studies reveal a new mechanism of action of chloroquine and hydroxychloroquine against SARS-CoV-2 infection. Int J Antim Agents. 2020;55(5):105960.
Yao X, Ye F, Zhang M, et al. In vitro antiviral activity and projection of optimized dosing design of hydroxychloroquine for the treatment of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Clin Infect Dis. 2020;71(15):732–9.
Gautret P, Lagier J-C, Parola P, et al. Hydroxychloroquine and azithromycin as a treatment of COVID-19: results of an open-label non-randomized clinical trial. Int J Antim Agents. 2020;56(1):105949.
Jefferson T, Del Mar CB, Dooley L, et al. Physical interventions to interrupt or reduce the spread of respiratory viruses. Cochrane Database Syst Rev. 2020;11:66.
Serafini G, Parmigiani B, Amerio A, Aguglia A, Sher L, Amore M. The psychological impact of COVID-19 on the mental health in the general population. QJM Int J Med. 2020;113(8):531–7.
Herek GM. AIDS and stigma. Am Behav Sci. 1999;42(7):1106–16.
Wood L, Birtel M, Alsawy S, Pyle M, Morrison A. Public perceptions of stigma towards people with schizophrenia, depression, and anxiety. Psychiatry Res. 2014;220(1–2):604–8.
Bathje G, Marston H. Self-stigmatization. Encycl Crit Psychol. 2014;66:1713–6.
Ritsher JB, Phelan JC. Internalized stigma predicts erosion of morale among psychiatric outpatients. Psychiatry Res. 2004;129(3):257–65.
Gilbert P, Irons C. Shame, self-criticism, and self-compassion in adolescence. Adoles Emot Dev Emerg Depress Disord. 2009;1:195–214.
Gilbert P, Clarke M, Hempel S, Miles JN, Irons C. Criticizing and reassuring oneself: an exploration of forms, styles and reasons in female students. Br J Clin Psychol. 2004;43(1):31–50.
Arikan K. A stigmatizating attitude towards psychiatric illnesses is associated with narcissistic personality traits. Isr J Psychiatry Relat Sci. 2005;42(4):248.
Brown SA. The contribution of previous contact and personality traits to severe mental illness stigma. Am J Psychiatric Rehabil. 2012;15(3):274–89.
Canu WH, Newman ML, Morrow TL, Pope DL. Social appraisal of adult ADHD: stigma and influences of the beholder’s Big Five personality traits. J Atten Disord. 2008;11(6):700–10.
Saeed F, Mihan R, Mousavi SZ, et al. A narrative review of stigma related to infectious disease outbreaks: what can be learned in the face of the Covid-19 pandemic? Frontiers in Psychiatry. 2020;11.
Lin C-Y. Social reaction toward the 2019 novel coronavirus (COVID-19). Soc Health Behav. 2020;3(1):1.
Grover S, Singh P, Sahoo S, Mehra A. Stigma related to COVID-19 infection: Are the Health Care Workers stigmatizing their own colleagues? Asian J Psychiatry. 2020;6:66.
Rong X, Yang L, Chu H, Fan M. Effect of delay in diagnosis on transmission of COVID-19. Math Biosci Eng. 2020;17(3):2725–40.
Williams J, Gonzalez-Medina D. Infectious diseases and social stigma. Appl Innov Technol. 2011;4(1):58–70.
Centers for Disease Control and Prevention. Reducing Stigma. https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/reducing-stigma.html. Accessed 25 June 2021. 2020.
Duan W, Bu H, Chen Z. COVID-19-related stigma profiles and risk factors among people who are at high risk of contagion. Soc Sci Med. 2020;266:113425.
Abdelhafiz AS, Mohammed Z, Ibrahim ME, et al. Knowledge, perceptions, and attitude of Egyptians towards the novel coronavirus disease (COVID-19). J Community Health. 2020;45(5):881–90.
Ransing R, Ramalho R, de Filippis R, et al. Infectious disease outbreak related stigma and discrimination during the COVID-19 pandemic: drivers, facilitators, manifestations, and outcomes across the world. Brain Behav Immunity. 2020;6:66.
Des Jarlais DC, Galea S, Tracy M, Tross S, Vlahov D. Stigmatization of newly emerging infectious diseases: AIDS and SARS. Am J Public Health. 2006;96(3):561–9.
Des Jarlais DC, Stuber J, Tracy M, Tross S, Galea S. Social factors associated with AIDS and SARS. Emerg Infect Dis. 2005;11(11):1767.
Bhattacharya P, Banerjee D, Rao TS. The “untold” side of COVID-19: social stigma and its consequences in India. Indian J Psychol Med. 2020;42(4):382–6.
Bhanot D, Singh T, Verma SK, Sharad S. Stigma and discrimination during COVID-19 pandemic. Front Public Health. 2020;8:829.
Abdelhafiz AS, Alorabi M. Social stigma: the hidden threat of COVID-19. Front Public Health. 2020;8:66.
Villa S, Jaramillo E, Mangioni D, Bandera A, Gori A, Raviglione MC. Stigma at the time of the COVID-19 pandemic. Clin Microbiol Infect. 2020;26(11):1450–2.
Singh R, Subedi M. COVID-19 and stigma: social discrimination towards frontline healthcare providers and COVID-19 recovered patients in Nepal. Asian J Psychiatry. 2020;6:66.
Mostafa A, Sabry W, Mostafa NS. COVID-19-related stigmatization among a sample of Egyptian healthcare workers. PLoS ONE. 2020;15(12):e0244172.
Abuhammad S, Alzoubi H, K, Khabour O, . Fear of COVID-19 and stigmatization towards infected people among Jordanian people. Int J Clin Pract. 2020;66:13899.
Bhat SS, Vashisht A, Kumari S, Singh OK, Farooque N. Development of social stigmatization during a pandemic caused by COVID-19. J Adv Med Dent Sci Res. 2020;8(5):71–4.
Person B, Sy F, Holton K, Govert B, Liang A. Fear and stigma: the epidemic within the SARS outbreak. Emerg Infect Dis. 2004;10(2):358.
Tang B, Wang X, Li Q, et al. Estimation of the transmission risk of the 2019-nCoV and its implication for public health interventions. J Clin Med. 2020;9(2):462.
Worldometer. Lebanon population. https://www.worldometers.info/world-population/lebanon-population/. Accessed 5 Feb 2021. 2020.
Do Duy C, Nong VM, Van AN, Thu TD, Do Thu N, Quang TN. COVID-19 related stigma and its association with mental health of health-care workers after quarantined in Vietnam. Psychiatry Clin Neurosci. 2020;6:66.
Green G. Attitudes towards people with HIV: Are they as stigmatizing as people with HIV perceive them to be? Soc Sci Med. 1995;41(4):557–68.
Genberg BL, Kawichai S, Chingono A, et al. Assessing HIV/AIDS stigma and discrimination in developing countries. AIDS Behav. 2008;12(5):772–80.
See L-C, Shen Y-M, Chen C-L, et al. Professional attitude of health care workers toward serving HIV/AIDS patients and drug users: questionnaire design and evaluation of reliability and validity. AIDS Care. 2011;23(11):1448–55.
Berger BE, Ferrans CE, Lashley FR. Measuring stigma in people with HIV: Psychometric assessment of the HIV stigma scale. Res Nurs Health. 2001;24(6):518–29.
Verma S, Mythily S, Chan Y, Deslypere J, Teo E, Chong S. Post-SARS psychological morbidity and stigma among general practitioners and traditional Chinese medicine practitioners in Singapore. Ann Acad Med Singap. 2004;33(6):743–8.
Charles B, Jeyaseelan L, Pandian AK, Sam AE, Thenmozhi M, Jayaseelan V. Association between stigma, depression and quality of life of people living with HIV/AIDS (PLHA) in South India–a community based cross sectional study. BMC Public Health. 2012;12(1):1–11.
Ahorsu DK, Lin C-Y, Imani V, Saffari M, Griffiths MD, Pakpour AH. The fear of COVID-19 scale: development and initial validation. Int J Ment Health Addict. 2020;66:1–9.
Alyami M, Henning M, Krägeloh CU, Alyami H. Psychometric evaluation of the Arabic version of the Fear of COVID-19 Scale. International journal of mental health and addiction. 2020;66:1–14.
Lee SA. Coronavirus anxiety scale: a brief mental health screener for COVID-19 related anxiety. Death Stud. 2020;44(7):393–401.
Saadeh D, Sacre H, Hallit S, Farah R, Salameh P. Knowledge, attitudes, and practices toward the coronavirus disease 2019 (COVID-19) among nurses in Lebanon. Perspect Psychiatric Care. 2020;6:66.
Domiati S, Itani M, Itani G. Knowledge, attitude, and practice of the Lebanese Community toward COVID-19. Front Med. 2020;7:66.
Reuben RC, Danladi MM, Saleh DA, Ejembi PE. Knowledge, attitudes and practices towards COVID-19: an epidemiological survey in North-Central Nigeria. J Community Health. 2020;66:1–14.
Pal R, Yadav U, Grover S, Saboo B, Verma A, Bhadada SK. Knowledge, attitudes and practices towards COVID-19 among young adults with Type 1 Diabetes Mellitus amid the nationwide lockdown in India: a cross-sectional survey. Diabetes Res Clin Pract. 2020;166:108344.
Saefi M, Fauzi A, Kristiana E, et al. Survey data of COVID-19-related knowledge, attitude, and practices among Indonesian undergraduate students. Data Brief. 2020;31:105855.
Ferdous MZ, Islam MS, Sikder MT, Mosaddek ASM, Zegarra-Valdivia J, Gozal D. Knowledge, attitude, and practice regarding COVID-19 outbreak in Bangladesh: an online-based cross-sectional study. PLoS One. 2020;15(10):239254.
Mohammed K, Khadijah A, Noor A, et al. Knowledge, attitude and practice toward COVID-19 among the public in the Kingdom of Saudi Arabia: a cross-sectional study. Front Public Health. 2020;8:217.
Kanyongo GY. Determining the correct number of components to extract from a principal components analysis: a Monte Carlo study of the accuracy of the scree plot. J Mod Appl Stat Methods. 2005;4(1):13.
Ellis JL. Factor analysis and item analysis. Appl Stat Behav Res. 2017;66:11–59.
Carden SW, Holtzman NS, Strube MJ. CAHOST: an excel workbook for facilitating the Johnson–Neyman technique for two-way interactions in multiple regression. Front Psychol. 2017;8:1293.
UNESCO. Call for proposals: stigmatization around the Covid-19 crisis and the Role of Media Information Literacy (MIL). https://en.unesco.org/news/call-proposals-stigmatization-around-covid-19-crisis-and-role-media-information-literacy-mil. Accessed 7 Feb 2021. 2020.
Cassiani-Miranda CA, Campo-Arias A, Tirado-Otálvaro AF, et al. <? covid19?> Stigmatisation associated with COVID-19 in the general Colombian population. International Journal of Social Psychiatry. 2020:0020764020972445.
Fischer LS, Mansergh G, Lynch J, Santibanez S. Addressing disease-related stigma during infectious disease outbreaks. Disaster Med Public Health Prep. 2019;13(5–6):989–94.
Centers for Disease Control and Prevention. Reducing stigma. https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/reducing-stigma.html. Accessed 14 Feb 2021.
Gilmore N, Somerville MA. Stigmatization, scapegoating and discrimination in sexually transmitted diseases: overcoming ‘them’and ‘us.’ Soc Sci Med. 1994;39(9):1339–58.
Smith-Morris C. Epidemiological placism in public health emergencies: Ebola in two Dallas neighborhoods. Soc Sci Med. 2017;179:106–14.
Ramaci T, Barattucci M, Ledda C, Rapisarda V. Social stigma during COVID-19 and its impact on HCWs outcomes. Sustainability. 2020;12(9):3834.
Des Jarlais DC, Galea S, Tracy M, Tross S, Vlahov D. Stigmatization of newly emerging infectious diseases: AIDS and SARS. Am J Public Health. 2006;96(3):561–7.
World Health Organization. A guide to preventing and addressing social stigma associated with COVID-19. Accessed 24 May 2020; 2020.
Jiang T, Zhou X, Lin L, et al. COVID-19-related stigma and its' influencing factors: a rapid nationwide study in China. 2020.
UNICEF. COVID-19 & stigma: How to prevent and address social stigma in your community. https://www.unicef.org/sudan/covid-19-stigma-how-prevent-and-address-social-stigma-your-community. Accessed 14 Feb 2021. 2020.
Gollust SE, Nagler RH, Fowler EF. The emergence of COVID-19 in the US: a public health and political communication crisis. J Health Polit Policy Law. 2020;45(6):967–81.
Cultural Atlas. Lebanese culture. Religion. https://culturalatlas.sbs.com.au/lebanese-culture/lebanese-culture-religion. Accessed 14 Feb 2021. 2021.
Ciftci A, Jones N, Corrigan PW. Mental health stigma in the Muslim community. J Muslim Ment Health. 2013;7(1):66.
Munnik MB. Reaching out in a climate of negativity: perceptions and persistence among Muslim sources engaging with news media. Contemp Islam. 2018;12(3):211–27.
Krishnan M. Indian Muslims face renewed stigma amid COVID-19 crisis. Deutsche Welle: Made for Minds. 2020.
ARAB NEWS. COVID-19 conspiracy theories spreading ‘like wildfire’ among UK Muslims. https://www.arabnews.com/node/1802046/world. Accessed 24 June 2021 2021.
Middle East News Turkey. Opinion | As coronavirus cases spike in Turkey, so does anti-Semitism. https://www.haaretz.com/middle-east-news/turkey/.premium-as-coronavirus-cases-spike-in-turkey-so-does-anti-semitism-1.8682725. Accessed 24 June 2021 2021.
Bizri AR, Khachfe HH, Fares MY, Musharrafieh U. COVID-19 pandemic: an insult over injury for Lebanon. J Community Health. 2020;66:1–7.
Barlösius E, Philipps A. Felt stigma and obesity: Introducing the generalized other. Soc Sci Med. 2015;130:9–15.
Himmelstein MS, Puhl RM, Quinn DM. Intersectionality: an understudied framework for addressing weight stigma. Am J Prev Med. 2017;53(4):421–31.
Longdon E, Read J. ‘People with problems, not patients with illnesses’: using psychosocial frameworks to reduce the stigma of psychosis. Isr J Psychiatry Relat Sci. 2017;54(1):24–30.
Earnshaw VA, Chaudoir SR. From conceptualizing to measuring HIV stigma: a review of HIV stigma mechanism measures. AIDS Behav. 2009;13(6):1160–77.
Fox AB, Earnshaw VA, Taverna EC, Vogt D. Conceptualizing and measuring mental illness stigma: the mental illness stigma framework and critical review of measures. Stigma Health. 2018;3(4):348.
Lee Y-R, Lee J-Y, Park I-H, et al. The relationships among media usage regarding COVID-19, knowledge about infection, and anxiety: structural model analysis. J Korean Med Sci. 2020;35(48):66.
Asmundson GJ, Taylor S. How health anxiety influences responses to viral outbreaks like COVID-19: What all decision-makers, health authorities, and health care professionals need to know. J Anxiety Disord. 2020;71:102211.
Dong L, Bouey J. Public mental health crisis during COVID-19 pandemic, China. Emerg Infect Dis. 2020;26(7):1616.
Vindegaard N, Benros ME. COVID-19 pandemic and mental health consequences: Systematic review of the current evidence. Brain Behav Immun. 2020;89:531–42.
Kim Y. Examining social distance against the infected affected by influenza A (H1N1) news use: focusing on the stigma effect. Korean J J Commun Stud. 2010;54:206–27.
Herek GM, Capitanio JP, Widaman KF. HIV-related stigma and knowledge in the United States: prevalence and trends, 1991–1999. Am J Public Health. 2002;92(3):371–7.
Sohn A, Moon J, Shin S, Chun S, Kim S. Discriminatory attitudes towards person with HIV/AIDS (PWHAs) among adolescents in Seoul, Korea. Health Soc Sci. 2008;23(1):31–56.
Lyndon AE, Crowe A, Wuensch KL, McCammon SL, Davis KB. College students’ stigmatization of people with mental illness: familiarity, implicit person theory, and attribution. J Ment Health. 2019;28(3):255–9.
Link BG, Cullen FT. Contact with the mentally ill and perceptions of how dangerous they are. J Health Soc Behav. 1986;66:289–302.
Angermeyer MC, Matschinger H, Corrigan PW. Familiarity with mental illness and social distance from people with schizophrenia and major depression: testing a model using data from a representative population survey. Schizophr Res. 2004;69(2–3):175–82.
Turner-Musa J, Ajayi O, Kemp L. Examining social determinants of health, stigma, and COVID-19 disparities. Paper presented at: Healthcare; 2020.
The authors would like to thank the participants who helped in the data collection by filling up and spreading the web-based online survey.
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The ethics committee at the Psychiatric Hospital of the Cross approved the study protocol (HPC-038-2020).
Informed consent was obtained online from all participants, on the first page of the questionnaire.
All methods were carried out in accordance with relevant guidelines and regulations.
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Supplementary file 1. Stigma and COVID-19 questionnaire. Supplementary file 2: Table 1. Promax rotated matrix of stigma discrimination scale. Supplementary file 2: Table 2. Promax rotated matrix of self-stigma. Supplementary file 3: Table 1. Johnson-Neyman analysis plots. Supplementary file 3: Table 2. Plots of simple slope. Supplementary file 3: Figure 1. Johnson-Neyman model 1. Supplementary file 3: Figure 2. Plot of simple slopes model 1. Supplementary file 3: Figure 3. Johnson-Neyman model 2. Supplementary file 3: Figure 4. Plot of simple slopes model 2. Supplementary file 3: Figure 5. Johnson-Neyman model 3. Supplementary file 3: Figure 6. Plot of simple slopes model 3. Supplementary file 3: Figure 7. Johnson-Neyman model 4. Supplementary file 3: Figure 8. Plot of simple slopes model 4.
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Haddad, C., Bou Malhab, S., Malaeb, D. et al. Stigma toward people with COVID-19 among the Lebanese population: a cross-sectional study of correlates and mediating effects. BMC Psychol 9, 164 (2021). https://doi.org/10.1186/s40359-021-00646-y