 out factors associated with stigma subscales.

Study Design
This is an analytic cross-sectional study that have used interview-based data collection method to fill the adapted questionnaire measuring stigma among HIV/AIDS patients.

Study Population
The targeted population were lab confirmed COVID-19 positive cases in Jeddah, KSA. The inclusion criteria were lab confirmed COVID-19 positive cases in Jeddah, who can speak Arabic language fluently of ages more than (18) years and available mobile phone number in their medical file. The exclusion criteria were patients who don't have lab confirmation, living outside Jeddah, can't speak Arabic language, ≤ 18 years old, patients mobile phone number is not available on database.
Participants were recruited from the available data on public health administration in Jeddah of COVID-19 confirmed cases.

Sample Size
Sample size was calculated using Raosoft online software (raosoft.com) with 5% margin of error and 95% confidence interval. Using (29,500) as a reference population, the calculated sample size was (380), We added a 10% of the required sample to compensate for missing data.

Sampling Technique
We used a stratified random sampling. The study population were stratified according to gender (male and female), thereafter, we applied simple random sampling using random number generator from each strata to choose the representative sample of the population of Jeddah.

Data Collection Tool
In order to assess stigma related to COVID-19, a validated questionnaire for HIV-related stigma for people living with HIV/AIDS (HASI-P) was adapted [11]. The questionnaire is a validated tool that measures stigma among HIV/AIDS patients during the past 3 months [11]. It contains a total of six subscales that measures social stigma of different aspects including verbal abuse (eight items), healthcare neglect (seven items), social isolation (five items), fear of contagion (six items) and workplace stigma (two items). The final subscale is negative selfperception (five items) which measures selfstigma [11].
The tool was translated to Arabic language then translated back to English with a consistency and similarity of ˃80% between the two English versions.

Data Collection Technique
Data collection was done through phone call and the questionnaire was filled by the interviewer in accordance with the answers of the selected participants. The dependent variables were the six subscales of the stigma tool. while the independent variables: Age, gender, level of education, geographical area, employment status and job title.

Statistical Analysis
Statistical package for the social sciences (SPSS, version 27.0) was used to analyze the data. Mean and standard deviation or median and interquartile range (IQR) were used to summarize numerical variables which were calculated using the sum of points fiving to items for each scale separately. While frequency and proportion were used for categorical variables. All the calculated variables of the sections were not normally distributed, for which nonparametric tests, including Mann-Whitney and Kruskal-Wallis tests, were used to compare between the groups of independent variables. Chi-square test was done to find associations between the categorical variables. In case of invalid Chi-square test due to expected values less than five, Fisher Freeman Halton exact test was used to calculate the significance level. Pvalues less than (0.05) were considered to be significant.

RESULTS
Total number of responses was (419). The median age was 32 (IQR, [25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43]. Both genders, Saudi and non-Saudi, were included. The sociodemographic characteristics were demonstrated in (Table 1). The tool was used to measure the COVID-19 related stigma had six sections measuring verbal abuse, negative selfperception, health care neglect, social isolation, fear of contagion, and workplace stigma. Each section contained several subscales measured using four points Likert scale (never=0, once or twice=1, several times=2, most of the time=3). The responses to the items were shown in (Tables 2-5). Items of each section were summed and divided by number of items of each subscale to calculate the average score measuring the related stigma. The results of each item ranged (0-3). The verbal abuse had a median of (0, IQR=0-0.25), negative selfperception (median=0, IQR=0.02), health care neglect (median=0, IQR=0-0), social isolation (median=0.2, IQR=0-0.6), fear of contagion (median=0.33, IQR=0-0.83) and workplace stigma (median=0, IQR=0-0). The six outcome variables measuring COVID-19 related stigma were tested using non-parametric tests to see the differences between the groups of sociodemographic groups. Males had more social isolation-related stigma than females (P-value=0.026). Moreover, males had more fear of contagion-related stigma than females (P-value=0.026). Health care workers had more workplace stigma than non-healthcare workers, while unemployed had the lowest average for workplace stigma (P-value=0.022). However, further analysis failed to show any statistical differences between the groups.  For each category of the stigma scale, verbal abuse, negative self-perception, social isolations, health care neglect, fear of contagion and workplace stigma, the averages of the individualized sum of items under each category were calculated. The verbal abuse related stigma was present among 42%, negative selfperception stigma was among 28.2%, health care neglect was present among 20.5%, social isolation stigma was present among 57%, fear of contagion stigma was present among 60.9% and workplace-related stigma was present among 6.9%. The computed variables measuring different stigma subtypes were tested for significance comparing between demography groups. Gender was significantly associated with the stigma of social isolation (P-value=0.008), gender was also associated with the stigma of fear of contagion (P-value<0.001). The occupation was significantly associated with workplace related stigma (P-value=0.03). Further testing to find association between stigma subscales and participants' demography failed to find other significant results (Table 6).

DISCUSSION
We conducted this study to explore the COVID-19-related stigma and the associated factors among patients diagnosed with SARS-Cov-2 in Saudi Arabia. A total of six subscales measuring different aspects were included. Fear of contagion was the highest subscale reported by the participants with 12.2%, followed by social isolation with 5.2% scoring. Other subscales scored less than three percent each. In parallel to the pandemic of COVID-19, comes the pandemic of stigma related to the disease. However, this phenomenon was previously noticed and commonly associated with global outbreaks of infectious diseases. It is worth mentioning that stigma can last even long after the resolution of the outbreak as Kelly et al., mentioned in his study which investigated the stigma related to Ebola virus in Liberia [12]. The stigma was documented after 18 months of the resolution of Ebola outbreak [12].
The results of our study indicate that males were more affected with stigma than females (P-value=0.026). This significance level is applied for both social isolation and fear of contagion related stigma equally. This is in line with White Alan report on specifications of men and COVID-19, which revealed that the pandemic has affected men negatively, increasing the mental illness and stigma [13]. Furthermore, Imran et al., and similarly, in a qualitative study measuring different subscales of stigma towards COVID-19, males had more personalized stigma than females, this finding was significant (P-value=0.036) [14].
Consequences of stigma on the affected patients and recovered ones may vary from refusal to serve food or provide accommodation rooms to threats, bullying and physical attacks [15][16]. Xenophobia, which is a term stands for prejudice against people from other countries have been faced by Asians. In Rome for example, one school's principle asked Chinee's children to have a formal medical report with their COVID-19 status before attending classes [17]. Stigma has been linked to affect some groups more than others. Those who have been reported to perceive stigma related to SARS-Cov-2 were travelers abroad, those of Asian descent and health care workers (HCW) [18]. Our study findings indicate that perceived work-related stigma was significantly associated with health care workers (P-value=0.022). While considered the heroes of the pandemic, HCW faced attacks and other difficulties while performing their duty due to related stigma [19]. Similarly, there were reports from Mexico indicating that nurses and doctors used their bicycle to go to work due to inability to access the public transportation [11]. In Egypt, taxi drivers refused to drive for HCW or to deliver food to the hospital [20]. It is worth mentioning that negative effects of stigma and related mental illnesses can cause sleep disturbance and may cause self-harm or suicide to those who perceive COVID-19-related stigma [21].
Globally, and during the quarantine, the world was economically affected which has caused many employees to lose their job. Furthermore, those who have returned to their work was stressful found to be stressful [22]. The stigma has affected the health conditions of susceptible patients and caused delay in seeking medical attention and even hiding their symptoms [23]. In India, one incidence of a pregnant lady who was abandoned by her family was linked to stigma, the lady was found to be positive after giving birth [24]. The stigma has outraged to affect susceptible individuals in India such as migrant and laborers naming those groups