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PLOS Global Public Health logoLink to PLOS Global Public Health
. 2025 Oct 10;5(10):e0004692. doi: 10.1371/journal.pgph.0004692

Perceptions of COVID-19-related nudges in the Arab world: A cross-country analysis of approval rates and associated factors

Fadi Makki 1,2,, Belal Nedal Sabbah 3,, Hani Tamim 3,4, Mariam Abdelnabi 1,5, Paola Schietekat 6, Nabil Saleh 7, Ali Osseiran 1, Abdulkarim Almakadma 3,8, Mohamed Al-Komi 9, Ebaa Alsayed 9, Rajaa Fakhoury 3,10, Fatima Saleh 10, Basema Saddik 11,12,13, Hana M A Fakhoury 3,*, Sarah Daher 3, Cass R Sunstein 14
Editor: Miguel Reina Ortiz15
PMCID: PMC12513628  PMID: 41071768

Abstract

The COVID-19 pandemic has necessitated novel approaches to influence public behavior. While “nudging” has gained prominence in Western contexts, its perception and effectiveness in the Arab world remain understudied. This study aimed to investigate the approval of COVID-19-related nudges across four Arab countries and explore associated sociodemographic factors. A cross-sectional study was conducted from November 2020 to January 2022, involving 698 participants from Egypt, Lebanon, Saudi Arabia, and the United Arab Emirates. Participants were presented with eight hypothetical COVID-19-related nudges categorized according to distinct behavioral mechanisms: choice architecture (e.g., floor markers, prominent placement of fruits and vegetables), information disclosure (publicly sharing infection causes), moral appeals (letters from elderly urging compliance), social norm enforcement (public shaming of violators and use of spoilers on billboards), and surveillance-based interventions (GPS tracking of quarantined individuals). Approval rates varied widely (50%–95%). Less intrusive nudges received the highest support: supermarket floor markers (95.4%), prominent display of fruits and vegetables (88.8%), park area divisions (82.0%), infection cause disclosure (86.5%), and elderly letters urging compliance (84.1%). Approval was lower for more intrusive measures, including billboard spoilers (52.0%) and public shaming of curfew violators (49.9%). GPS tracking, the most intrusive intervention, received intermediate approval (72.8%). Higher COVID-19 concern was significantly associated with greater approval of nudges (p < 0.001), with age, gender, and family COVID-19 status also influencing approval rates. These findings demonstrate generally positive attitudes towards COVID-19-related nudges among university affiliates in four Arab countries, with clear variations according to nudge type, intrusiveness, and sociodemographic characteristics. While the results offer valuable insights for culturally tailored behavioral interventions in the Arab world, they reflect a university setting and may not be generalizable to the broader public.

Introduction

The COVID-19 pandemic has presented unprecedented challenges to public health systems worldwide, necessitating rapid and effective behavioral interventions to curb the spread of the virus [1]. In this context, the concept of “nudging,” a behavioral science approach that subtly guides decision-making without restricting choice, has gained prominence as a potential tool for policymakers [2]. Nudges have been successfully employed in various domains, including health, finance, and environmental conservation [35].

The effects of nudging have been well-documented in various Western contexts; however, empirical evidence indicates that its impact varies across different behavioral domains and settings. A comprehensive meta-analysis by Mertens et al. (2022) found that while nudging interventions generally produced positive effects, the magnitude of these effects varied significantly across different behavioral domains, ranging from small to moderate effect sizes (Cohen’s d = 0.24 to 0.65) [6]. Notably, the financial domain exhibited the smallest effects, suggesting that nudges may be less effective in influencing financial behaviors.

Despite the rich literature on nudging in Western contexts, there is a notable gap in our understanding of its perception and efficacy in non-Western cultures, particularly in the Arab world. Cultural differences can significantly influence the acceptability and effectiveness of behavioral interventions [7]. Hofstede’s cultural dimensions theory presents a valuable framework for this study [8]. It provides a structured lens to examine how cultural dimensions such as power distance, individualism, uncertainty avoidance, and indulgence may shape nudge acceptability in the Arab world, where collectivism and hierarchical social structures are prominent [9,10]. Although criticized [11], Hofstede’s framework suits our aim of this study, which is to demonstrate how similar nudges can have different reactions depending on the differences in the cultural dimensions of societies [8].

Previous research has explored public attitudes towards nudges in various countries. Sunstein et al. found general approval for nudges across several European countries and the United States, with variations based on the type of nudge and cultural context [12]. Similarly, Jung and Mellers observed that Americans generally approved of nudges, but were less supportive of those perceived as manipulative or coercive [13]. However, these studies primarily focused on Western populations, leaving a significant gap in our understanding of nudge perceptions in other cultural contexts.

The Arab world, with its distinct cultural, social, and political landscape, presents a unique setting for examining the acceptability of nudges. The region’s collectivist culture, strong family ties, and varying degrees of government trust may influence how nudges are perceived and accepted [9,10]. Moreover, the COVID-19 pandemic has heightened the urgency of understanding effective behavioral interventions in this region, which has faced significant challenges in managing the outbreak [14].

This study aimed to address this knowledge gap by investigating the approval of COVID-19-related nudges across four Arab countries in the university setting. The target population comprised university affiliates, including students, faculty, and administrative staff, from the four participating institutions. We explored public sentiment towards eight distinct nudges, categorized into five types: choice architecture, information disclosure, moral appeals, social norm enforcement, and surveillance-based interventions. By examining the approval rates of these varied nudges, we sought to understand which types of interventions are most acceptable in Arab societies and how this acceptance varies across different demographic groups.

Materials and methods

Study design and participants

This cross-sectional study was conducted between 24 November 2020 and 5 January 2022 across four Arab countries: Egypt, Lebanon, Saudi Arabia (KSA), and the United Arab Emirates (UAE). The study population consisted of university affiliates (students, faculty, and administrative staff) from four institutions: the American University in Cairo (Egypt), Beirut Arab University (Lebanon), Alfaisal University (KSA), and the University of Sharjah (UAE). In total, 698 individuals participated by responding to an online survey distributed through institutional mailing lists.

Data collection

Recruitment and data collection did not commence simultaneously across all study sites. Instead, each partner university launched its survey at different time points. In some institutions, the start of data collection was delayed to avoid conflicts with semester-end exams. On average, data collection in each country lasted approximately three months.

Alfaisal University was the first to initiate data collection, distributing the survey on November 24, 2020, and closing recruitment on February 5, 2021. The American University in Cairo followed, launching its survey on December 2, 2020, and concluding data collection on February 15, 2021. The University of Sharjah began data collection on February 4, 2021, and completed it on May 5, 2021. The final site, Beirut Arab University, launched its survey on September 27, 2021, and concluded recruitment on January 5, 2022.

Despite variations in recruitment timelines across sites, data analysis commenced only after all responses had been collected. Informed consent was obtained online through an electronic consent form presented at the beginning of the survey. Participants were informed that their participation was voluntary and that their responses would remain anonymous and confidential. Only those who actively indicated consent (by selecting a checkbox) were able to proceed with the survey. Anonymity was maintained by collecting only non-sensitive, non-identifiable demographic data, with no names, email addresses, or other personal identifiers recorded. To ensure confidentiality, access to the survey data was restricted to the principal investigators and the statistician involved in the analysis.

Ethical considerations

The study received ethical approval from the Institutional Review Boards of all four participating universities: Alfaisal University Institutional Review Board, approval number IRB-20065; American University in Cairo (AUC) Research Ethics Committee, approval number 2020-2021-005; Beirut Arab University (BAU) Institutional Review Board, approval number 2021-H-0122-HS-R-0442; and the University of Sharjah Research Ethics Committee, approval number REC-20-11-04-02.

Inclusivity in global research

Additional information regarding the ethical, cultural, and scientific considerations specific to inclusivity in global research is included in the Supporting Information (S1 Checklist. Inclusivity in Global Research Checklist).

Survey instrument

A standardized questionnaire was developed and administered via SurveyMonkey. Recruitment occurred via institutional mailing lists, with one initial invitation and two reminders during the recruitment period. The electronic survey was distributed via email to all university affiliates with participation being voluntary and no incentives provided. The survey was available in both Arabic and English and consisted of three main sections.

The first section gathered sociodemographic characteristics including age, gender, education level, occupation, income, marital status, and number of children.

The second section focused on health-related factors, including self-reported health status, measured by the question “How would you describe your current health?” on a 7-point Likert scale (1 = very poor, 7 = excellent), COVID-19 concern level, measured on a 7-point Likert scale (1 = not at all concerned, 7 = extremely concerned), and personal or family history of COVID-19 infection.

In the third section, participants were presented with eight hypothetical COVID-19-related nudges, each reflecting a distinct behavioral mechanism.

  • Choice architecture nudges included: (1) social distancing floor markers in supermarkets; (2) park area divisions limiting the number of people per section (e.g., a maximum of 10 individuals per square), achieved by demarcating green spaces into marked areas; and (3) the prominent display of fruits and vegetables as the first items on grocery store mobile apps and websites.

  • Information disclosure nudges included: (4) public disclosure of infection causes, referring to the reporting of aggregated, anonymized information (e.g., “because of the exchange of hugs and kisses at a family gathering, nine cases of COVID-19 have been detected, three of which required hospitalization”), as practiced by several Ministries of Health in the region, rather than the disclosure of identifiable individual data.

  • Moral nudges included: (5) elderly people sending letters to family members urging them to comply with preventive rules.

  • Social norm enforcement nudges included: (6) public shaming through publishing the nationalities of curfew violators and (7) the use of spoilers on billboards, involving the public display of plot details from popular television series during lockdowns to discourage non-essential travel.

  • Surveillance-based interventions included: (8) GPS tracking of quarantined individuals via a mobile app.

For each scenario, participants indicated their approval or disapproval of the nudge using a binary (approve/disapprove) response format.

Nudge selection

The nudges were selected to capture a diverse range of behavioral mechanisms relevant to the COVID-19 context and culturally salient in the Arab region. The set was curated from both implemented interventions and illustrative examples, including several directly inspired by measures adopted during the pandemic in Middle Eastern countries—such as GPS tracking, social distancing floor markers, and public disclosure of infection causes.

Selection was also intentional in covering a spectrum of intrusiveness, ranging from subtle strategies such as product placement in grocery apps (choice architecture) to more overt interventions like public shaming and billboard spoilers (social norm enforcement, with the latter relying on deterrence through aversive sanctioning). Although the prominent display of fruits and vegetables in grocery apps was not COVID-specific, it was included as a choice architecture nudge because several ministries of health in the region, along with the WHO Eastern Mediterranean Regional Office, promoted healthy eating during the pandemic to support immune function and reduce vulnerability to infection [15].

To ensure contextual appropriateness, we sought feedback from regional and behavioral science experts, who reviewed a preliminary list and provided informal input on perceived intrusiveness and pandemic relevance. Their feedback informed the refinement of the final set of interventions.

To systematically assess and classify the intrusiveness of the eight interventions, we applied the Nuffield Council on Bioethics Intervention Ladder [16], a widely used framework in public health ethics. This framework categorizes interventions according to the extent to which they limit individual autonomy, from least intrusive (“providing information”) to most intrusive (“restricting choice”). Each intervention was mapped to a rung of the ladder to ensure transparent and consistent classification. For example, public disclosure of infection causes was classified as “providing information,” supermarket floor markers and grocery app defaults as “changing the default,” billboards spoiling TV shows as “utilizing disincentives,” and GPS tracking as “restricting choice.” A complete summary of how each intervention was mapped onto the Nuffield Intervention Ladder is provided in S1 Table.

Statistical analysis

Descriptive statistics were used to summarize sociodemographic characteristics and nudge approval rates. Categorical variables were summarized by the number and percent, whereas the continuous ones were summarized by mean and standard deviation (SD) or median and interquartile range (IQR). Chi-square or Fisher’s exact tests were used to assess the association between demographic and health related factors and nudge approval.

Results

Sociodemographic characteristics

Our study included 698 participants from four Arab countries. Responses by institution were: 106 from Alfaisal University (Saudi Arabia; 15.2%), 90 from the American University in Cairo (Egypt; 12.9%), 386 from Beirut Arab University (Lebanon; 55.3%), and 116 from the University of Sharjah (United Arab Emirates; 16.6%).Based on publicly available data regarding the size of each university community—including students, faculty, and staff—we estimate the response rates to be approximately: 3.9% for Alfaisal University (≈2,700 affiliates), 1.2% for AUC (≈7,600 affiliates), 2.2% for BAU (≈17,300 affiliates), and 0.5% for the University of Sharjah (≈23,100 affiliates). The sample was predominantly female (57.3%), and the median age was 22 years (IQR: 19–35). Due to skewness in the age distribution, the median with interquartile range (IQR) is reported instead of the mean and standard deviation. Students represented the majority of the participants (65.5%), while the rest consisted of academic/administrative staff (34.5%). Regarding education, 40.0% had secondary education or lower, 34.8% had an undergraduate degree, and 25.2% had a graduate degree. The majority of participants were single (73.9%) and from middle-income households (51.0%) (Table 1).

Table 1. Sociodemographic and health-related characteristics of participants (N = 698).

Variables n (%)
University Alfaisal 106 (15.2%)
AUC 90 (12.9%)
BAU 386 (55.3%)
Sharjah 116 (16.6%)
Female 400 (57.3%)
Age Median (IQR) 22 (19 - 35)
Education Secondary education or lower 279 (40.0%)
Undergraduate degree 243 (34.8%)
Graduate degree 176 (25.2%)
Occupation Student 457 (65.5%)
Academic Staff/Admin/Administrative Staff/Faculty 241 (34.5%)
Major Medicine 197 (32.7%)
Health 55 (9.1%)
Non-health 351 (58.2%)
Income Low 117 (19.9%)
Middle 300 (51.0%)
High 171 (29.1%)
Marital status Single 516 (73.9%)
Married 182 (26.1%)
Number of children Median (IQR) 0 (0 - 1)
BMI categories (self-reported) Underweight 46 (7.6%)
Healthy 320 (53.0%)
Overweight 173 (28.6%)
Obese 65 (10.8%)
Self-reported health status Mean ± SD 5.5 ± 1.2
Median (IQR) 6 (5 - 6)
COVID-19 concern Mean ± SD 4.6 ± 1.9
Median (IQR) 5 (3 - 6)
Have you tested positive for COVID-19? 70 (12.4%)
Have any of your family members tested positive for COVID-19? 517 (74.1%)

Self-reported health status was measured by the question “How would you describe your current health?” on a 7-point Likert scale (1 = very poor, 7 = excellent). COVID-19 concern was measured on a 7-point Likert scale (1 = not at all concerned, 7 = extremely concerned). AUC, American University in Cairo; BAU, Beirut Arab University; SD, standard deviation; IQR, interquartile range; BMI, body mass index; COPD, chronic obstructive pulmonary disease; CVD, cardiovascular disease.

Nudge approval rates

We observed a general trend of approval for the tested nudges, with approval ranging from 49.9% to 95.4%. However, support varied not only by nudge category but also by intrusiveness level (Table 2).

Table 2. Approval of COVID-19-related nudges by category and intrusiveness rank (N = 698).

Nudge description Intrusiveness rank Category Response n (%)
To increase compliance with social distancing rules, causes of infections are made publicly available (e.g., because of the exchange of hugs and kisses at a family gathering, nine cases of COVID-19 have been detected, three of which required hospitalization). 1 Information disclosure Approve 604 (86.5)
Disapprove 94 (13.5)
To increase compliance with COVID-19 preventive measures, elderly people are asked to send letters to family members pleading with them to respect the rules for their sake. 2 Moral nudges Approve 587 (84.1)
Disapprove 111 (15.9)
To encourage customers to maintain a safe distance of 2 meters between each other, supermarkets are required to install social distancing floor markers at checkout lanes. 3 Choice architecture Approve 666 (95.4)
Disapprove 32 (4.6)
To increase healthy eating during the pandemic, grocery stores are required to display fruits and vegetables as the first items on their mobile apps and web shops. 4 Choice architecture Approve 620 (88.8)
Disapprove 78 (11.2)
To deter people from gathering in large numbers, popular parks and green areas are divided into squares where no more than 10 people can gather in the same square. 5 Choice architecture Approve 572 (82.0)
Disapprove 126 (18.0)
To discourage people from all non-essential road travel during the national lockdown, a campaign is launched advertising spoilers of popular television series on billboards. 6 Social norm enforcement Approve 363 (52.0)
Disapprove 335 (48.0)
To encourage compliance with the national lockdown rules, the number of people who violate the national curfew and their respective nationalities are publicly published. 7 Social norm enforcement Approve 348 (49.9)
Disapprove 350 (50.1)
To limit the spread of the coronavirus, an app uses a GPS feature to track users and gather health information about healthy individuals, and those in quarantine. 8 Surveillance-based intervention Approve 508 (72.8)
Disapprove 190 (27.2)

Intrusiveness rank follows the Nuffield Council on Bioethics Intervention Ladder, adapted for this study (S1 Table), where 1 = least intrusive (Provide information) and 8 = most intrusive (Restrict choice).

Less intrusive nudges received the highest levels of approval. Information disclosure (rank 1) was endorsed by 86.5% of participants, and moral appeals such as elderly letters (rank 2) by 84.1%. Similarly, lower-level choice architecture nudges showed strong approval: supermarket floor markers (rank 3, 95.4%), prominent display of fruits and vegetables in grocery apps (rank 4, 88.8%), and park area divisions (rank 5, 82.0%).

By contrast, approval declined for more intrusive measures. Social norm enforcement nudges were less favored: billboard spoilers (rank 6) were approved by 52.0% of participants, and publishing nationalities of curfew violators (rank 7) by only 49.9%. Surveillance-based GPS tracking (rank 8), the most intrusive nudge tested, received intermediate approval at 72.8%.

Factors associated with nudge approval

We examined whether approval of nudges varied according to age, levels of concern about COVID-19, gender, occupation, family infection status, and income.

Age was found to be a significant factor in nudge approval. As shown in Table 3, older participants (≥22 years) showed higher approval rates for certain nudges compared to younger participants (<22 years). This difference was statistically significant for the spoilers on billboard nudge (56.2% vs. 47.7%, p = 0.024) and for publication of nationalities of curfew violators (54.3% vs. 45.4%, p = 0.019).

Table 3. Approval of COVID-19-related nudges by age.

Variables Age < 22 Age >= 22 p-value
To limit the spread of the coronavirus, an app uses a GPS feature to track users
and gather health information about healthy individuals, and those in quarantine.
Approve 244 (70.5%) 264 (75.0%) 0.18
Disapprove 102 (29.5%) 88 (25.0%)
To discourage people from all non-essential road travel during the national lockdown,
a campaign is launched advertising spoilers of popular television series on billboards.
Approve 165 (47.7%) 198 (56.2%) 0.024
Disapprove 181 (52.3%) 154 (43.8%)
To encourage customers to maintain a safe distance of 2 meters between each other,
supermarkets are required to install social distancing floor markers at checkout lanes.
Approve 327 (94.5%) 339 (96.3%) 0.26
Disapprove 19 (5.5%) 13 (3.7%)
To encourage compliance with the national lockdown rules, the number of people
who violate the national curfew and their respective nationalities are publicly published.
Approve 157 (45.4%) 191 (54.3%) 0.019
Disapprove 189 (54.6%) 161 (45.7%)
To deter people from gathering in large numbers, popular parks and green areas are divided
into squares where no more than 10 people can gather in the same square.
Approve 277 (80.1%) 295 (83.8%) 0.20
Disapprove 69 (19.9%) 57 (16.2%)
To increase compliance with social distancing rules, causes of infections are made publicly available
(e.g., because of the exchange of hugs and kisses at a family gathering,
nine cases of COVID-19 have been detected of which three are being hospitalized).
Approve 298 (86.1%) 306 (86.9%) 0.76
Disapprove 48 (13.9%) 46 (13.1%)
To increase compliance with COVID-19 preventive measures, elderly people are asked to send letters
to family members pleading with them to respect the rules for their sake.
Approve 287 (83.0%) 300 (85.2%) 0.41
Disapprove 59 (17.0%) 52 (14.8%)
To increase healthy eating during the pandemic, grocery stores are required to display fruits and
vegetables as the first items on their mobile apps and web shops.
Approve 306 (88.4%) 314 (89.2%) 0.75
Disapprove 40 (11.6%) 38 (10.8%)

GPS, global positioning system.

COVID-19 concern levels also demonstrated a strong association with nudge approval, as evident in Table 4. Participants with higher COVID-19 concern levels showed significantly higher approval rates for several nudges. For instance, GPS tracking was approved by 78.6% of high-concern participants compared to 66.5% of low-concern participants (p < 0.001). Similarly, the spoilers on billboard nudge was approved by 59.1% of high-concern participants versus 44.3% of low-concern participants (p < 0.001). Approval was also higher among high-concern participants for publication of curfew violators’ nationalities (57.4% vs. 41.6%, p < 0.001) and elderly letters (87.6% vs. 80.2%, p = 0.008).

Table 4. Approval of COVID-19-related nudges by COVID-19 concern level.

Variables COVID-19 concern < 5 COVID-19 concern >= 5 p-value
To limit the spread of the coronavirus, an app uses a GPS feature to track users
and gather health information about healthy individuals, and those in quarantine.
Approve 222 (66.5%) 286 (78.6%) <0.001
Disapprove 112 (33.5%) 78 (21.4%)
To discourage people from all non-essential road travel during the national lockdown,
a campaign is launched advertising spoilers of popular television series on billboards.
Approve 148 (44.3%) 215 (59.1%) <0.001
Disapprove 186 (55.7%) 149 (40.9%)
To encourage customers to maintain a safe distance of 2 meters between each other,
supermarkets are required to install social distancing floor markers at checkout lanes.
Approve 314 (94.0%) 352 (96.7%) 0.089
Disapprove 20 (6.0%) 12 (3.3%)
To encourage compliance with the national lockdown rules, the number of people
who violate the national curfew and their respective nationalities are publicly published.
Approve 139 (41.6%) 209 (57.4%) <0.001
Disapprove 195 (58.4%) 155 (42.6%)
To deter people from gathering in large numbers, popular parks and green areas are divided
into squares where no more than 10 people can gather in the same square.
Approve 264 (79.0%) 308 (84.6%) 0.056
Disapprove 70 (21.0%) 56 (15.4%)
To increase compliance with social distancing rules, causes of infections are made publicly available
(e.g., because of the exchange of hugs and kisses at a family gathering,
nine cases of COVID-19 have been detected of which three are being hospitalized).
Approve 284 (85.0%) 320 (87.9%) 0.27
Disapprove 50 (15.0%) 44 (12.1%)
To increase compliance with COVID-19 preventive measures, elderly people are asked to send letters
to family members pleading with them to respect the rules for their sake.
Approve 268 (80.2%) 319 (87.6%) 0.008
Disapprove 66 (19.8%) 45 (12.4%)
To increase healthy eating during the pandemic, grocery stores are required to display fruits and
vegetables as the first items on their mobile apps and web shops.
Approve 295 (88.3%) 325 (89.3%) 0.69
Disapprove 39 (11.7%) 39 (10.7%)

GPS, global positioning system.

Gender was another significant factor. Females were more likely than males to approve of GPS tracking (76.0% vs. 68.5%, p = 0.027) and supermarket floor markers (97.3% vs. 93.0%, p = 0.007), with full results by gender shown in Table 5.

Table 5. Approval of COVID-19-related nudges by gender.

Variables Males
(n = 298,
42.7%)
Females
(n = 400,
57.3%)
p-value
To limit the spread of the coronavirus, an app uses a GPS feature to track users
and gather health information about healthy individuals, and those in quarantine.
Approve 204 (68.46%) 304 (76%) 0.027
Disapprove 94 (31.54%) 96 (24%)
To discourage people from all non-essential road travel during the national lockdown,
a campaign is launched advertising spoilers of popular television series on billboards.
Approve 158 (53.02%) 205 (51.25%) 0.643
Disapprove 140 (46.98%) 195 (48.75%)
To encourage customers to maintain a safe distance of 2 meters between each other,
supermarkets are required to install social distancing floor markers at checkout lanes.
Approve 277 (92.95%) 389 (97.25%) 0.007
Disapprove 21 (7.05%) 11 (2.75%)
To encourage compliance with the national lockdown rules, the number of people
who violate the national curfew and their respective nationalities are publicly published.
Approve 152 (51.01%) 196 (49%) 0.6
Disapprove 146 (48.99%) 204 (51%)
To deter people from gathering in large numbers, popular parks and green areas are divided into squares where no more than 10 people can gather in the same square. Approve 239 (80.2%) 333 (83.25%) 0.3
Disapprove 59 (19.8%) 67 (16.75%)
To increase compliance with social distancing rules, causes of infections are made publicly available (e.g., because of the exchange of hugs and kisses at a family gathering,
nine cases of COVID-19 have been detected of which three are being hospitalized).
Approve 254 (85.23%) 350 (87.5%) 0.386
Disapprove 44 (14.77%) 50 (12.5%)
To increase compliance with COVID-19 preventive measures, elderly people are asked to send letters to family members pleading with them to respect the rules for their sake. Approve 255 (85.57%) 332 (83%) 0.358
Disapprove 43 (14.43%) 68 (17%)
To increase healthy eating during the pandemic, grocery stores are required to display fruits and vegetables as the first items on their mobile apps and web shops. Approve 260 (87.25%) 360 (90%) 0.254
Disapprove 38 (12.75%) 40 (10%)

Occupation was also associated with differences. Faculty and administrative staff showed higher approval than students for billboard spoilers (61.0% vs. 47.3%, p < 0.001) and for publication of curfew violators’ nationalities (55.6% vs. 46.8%, p = 0.03). No significant differences were observed for the other nudges. Full results are presented in Table 6.

Table 6. Approval of COVID-19-related nudges by occupation (students vs. staff).

Variables Student
n = 457
Others (Academic Staff/Admin/Faculty)
n = 241
p-value
To limit the spread of the coronavirus, an app uses a GPS feature to track users and gather health information about healthy individuals, and those in quarantine. Approve 332 (72.6%) 176 (73.0%) 0.93
Disapprove 125 (27.4%) 65 (27.0%)
To discourage people from all non-essential road travel during the national lockdown, a campaign is launched advertising spoilers of popular television series on billboards. Approve 216 (47.3%) 147 (61.0%) <0.001
Disapprove 241 (52.7%) 94 (39.0%)
To encourage customers to maintain a safe distance of 2 meters between each other, supermarkets are required to install social distancing floor markers at checkout lanes. Approve 433 (94.7%) 233 (96.7%) 0.25
Disapprove 24 (5.3%) 8 (3.3%)
To encourage compliance with the national lockdown rules, the number of people who violate the national curfew and their respective nationalities are publicly published Approve 214 (46.8%) 134 (55.6%) 0.03
Disapprove 243 (53.2%) 107 (44.4%)
To deter people from gathering in large numbers, popular parks and green areas are divided into squares where no more than 10 people can gather in the same square. Approve 371 (81.2%) 201 (83.4%) 0.47
Disapprove 86 (18.8%) 40 (16.6%)
To increase compliance with social distancing rules, causes of infections are made publicly available (e.g., because of the exchange of hugs and kisses at a family gathering, nine cases of COVID-19 have been detected of which three are being hospitalized). Approve 393 (86.0%) 211 (87.6%) 0.57
Disapprove 64 (14.0%) 30 (12.4%)
To increase compliance with COVID-19 preventive measures, elderly people are asked to send letters to family members pleading with them to respect the rules for their sake. Approve 379 (82.9%) 208 (86.3%) 0.25
Disapprove 78 (17.1%) 33 (13.7%)
To increase healthy eating during the pandemic, grocery stores are required to display fruits and vegetables as the first items on their mobile apps and web shops. Approve 408 (89.3%) 212 (88.0%) 0.60
Disapprove 49 (10.7%) 29 (12.0%)

Participants with a family member who had tested positive for COVID-19 were more likely to approve of GPS tracking (79.6% vs. 70.4%, p = 0.017), but no other nudges differed significantly by this factor. These results are presented in S2 Table. Analysis by income level did not show significant differences in approval across low-, middle-, and high-income groups (S3 Table).

Discussion

This study provides novel insights into the perception and approval of COVID-19-related nudges across four Arab countries in a university setting. Our findings reveal a generally high level of approval for nudges, ranging from 49.9% to 95.4%. However, we observed significant variations in approval rates depending on the type of nudge and sociodemographic factors, and these results should not be assumed to represent the general population.

In this study, we selected eight nudges commonly used in behavioral economics literature to assess public perceptions and acceptability of nudge-based COVID-19-related interventions. These included: choice architecture nudges, such as floor markers in supermarkets and the prominent placement of fruits and vegetables in grocery apps; information disclosure nudges, such as publicly sharing the causes of COVID-19 infections; moral appeals, including letters from elderly individuals urging family members to follow lockdown measures; social norm enforcement nudges, including public shaming of lockdown violators and the use of spoilers on billboards to deter non-essential travel; and surveillance-based interventions, such as GPS tracking of individuals in quarantine. These categories reflect distinct behavioral mechanisms through which nudges are intended to influence individual decision-making during a public health crisis.

These nudges are widely tested in Western contexts, but their applicability in non-Western settings is less understood. Given the distinct cultural characteristics of Arab societies, this study sought to examine how these nudges are perceived and received in a different cultural environment.

Finally, the types of nudges selected also align well with Hofstede’s cultural dimensions. According to Hofstede’s country comparison tool [17], Arab societies (specifically, Egypt, Lebanon, UAE, and KSA) exhibit a high average power distance index of 72, indicating a strong acceptance of hierarchical authority and unequal power distribution. This cultural trait suggests that social norm enforcement and surveillance-based nudges may be effective, as directives from trusted authorities are more likely to be followed without resistance. Additionally, the relatively high uncertainty avoidance index of 61 [17], reflects a preference for clear structures and rules to minimize ambiguity. Accordingly, choice architecture nudges, such as floor markers, and information disclosure nudges, such as infection cause reporting, provide explicit guidance and reduce uncertainty, promoting compliance with health protocols. Moral appeals, such as letters from elderly family members urging adherence to guidelines, were selected in light of the region’s low individualism index (average score of 31) [17], reflecting strong familial ties and collective responsibility. Overall, the selection of nudges was guided by behavioral science literature, expert recommendations, real-time policy relevance, and their cultural and contextual resonance within the Arab region.

Our results indicate that approval of nudges varied systematically by intrusiveness level. Less intrusive interventions received the strongest endorsement: information disclosure (rank 1), moral appeals (rank 2), and lower-level choice architecture nudges (ranks 3–5) all showed approval rates above 80%, with supermarket floor markers (rank 3) reaching the highest at 95.4%. In contrast, more intrusive nudges attracted less support. Social norm enforcement interventions—billboard spoilers (rank 6, 52.0%) and publishing violators’ nationalities (rank 7, 49.9%)—were the least favored. The most intrusive measure tested, GPS tracking (rank 8), received intermediate approval (72.8%).

When interpreting the results by nudge category, our results indicate that choice architecture and information disclosure nudges received the highest approval rates, while social norm enforcement nudges were less favored. This aligns with previous research by Sunstein et al. that found a general preference for nudges that are transparent and preserve freedom of choice [18]. The high approval rates for floor markers (95.4%) and prominent display of fruits and vegetables (88.8%) suggest that Arabs are receptive to nudges that provide guidance without limiting personal autonomy.

Interestingly, the moral nudge involving elderly sending letters received high approval (84.1%), which may reflect the strong family ties and respect for elders in Arab culture [9]. This finding extends our understanding of culturally specific nudges and their potential effectiveness in non-Western contexts.

The lower approval rates for social norm enforcement nudges, particularly public shaming (49.9%), align with findings from Jung and Mellers’ study in the United States, suggesting a cross-cultural aversion to nudges that may be perceived as infringing on personal privacy or dignity [13]. Our findings on the relatively high approval of surveillance-based interventions nudges, such as GPS tracking (72.8%), contrast with previous studies conducted in Western contexts, where similar interventions have typically received lower acceptance due to heightened privacy concerns [18,19]. This divergence likely reflects deeper cultural differences in societal attitudes toward individual autonomy, privacy, and governmental authority. Arab societies, often characterized by collectivist values and stronger emphasis on community responsibility, might prioritize public health and collective safety over individual autonomy during crises [8]. Additionally, variations in trust towards government and public health authorities between Arab and Western contexts may further explain the greater acceptance of measures like GPS tracking observed in our study [20]. These results align with cultural theories such as Hofstede’s dimensions [8], highlighting the critical importance of cultural context when designing and implementing behavioral interventions.

Our study revealed significant associations between nudge approval and various sociodemographic factors. The positive correlation between age and approval rates for certain nudges, particularly the spoilers on billboard nudge, aligns with findings in other studies [13,19,21]. This age effect may be attributed to increased risk perception among older individuals during the pandemic [22].

The higher approval rates among female participants for nudges such as GPS tracking and floor markers corroborate the findings of Ölander and Thøgersen, who reported gender differences in receptiveness to pro-environmental nudges [23]. This gender effect may be related to differences in risk perception or social responsibility attitudes between men and women [24].

The strong positive association between COVID-19 concern levels and nudge approval across all nudge types is a key finding of our study. This relationship underscores the importance of risk perception in shaping attitudes towards behavioral interventions, as highlighted by Slovic in his seminal work on risk perception [25]. Our results suggest that public health communication strategies that effectively convey the seriousness of health risks may increase receptiveness to nudges [8]. The strong influence of COVID-19 concern levels on nudge approval further underscores the importance of effective, culturally appropriate risk communication in public health strategies.

Our findings offer preliminary insights that may be relevant to policymakers and public health officials in the Arab world and beyond. The high approval rates for choice architecture and information disclosure nudges suggest that these types of interventions may be more acceptable and well-received in Arab countries. However, the lower approval for social norm enforcement nudges highlights the need for careful consideration of privacy concerns and cultural sensitivities when designing interventions.

While these findings provide preliminary insights, further research is required to evaluate whether such nudges are effective in practice. Policymakers may consider these findings as a basis for exploring culturally appropriate behavioral interventions, but implementation should be directed by evidence from future real-world studies, such as observational or experimental studies.

While our study provides valuable insights, it has several limitations. This study, while consistent with expectations for voluntary email-based surveys, is limited by potential selection bias due to a low response rate and a sample that may not be representative of the broader target population. The sample was predominantly composed of university students and staff, which may not fully represent the broader Arab population, particularly older adults, rural communities, and lower-income groups. To partially address this limitation, we conducted subgroup analyses based on key demographic and contextual variables, including age, gender, occupation, degree of concern about COVID-19, income, and family COVID-19 status. However, these subgroup analyses remain limited by the fact that the data were drawn exclusively from a university setting and may not reflect the perspectives of the general population. The cross-sectional nature of our study limits our ability to assess how attitudes towards nudges may have evolved over the course of the pandemic. Longitudinal studies could provide valuable insights into the dynamics of nudge perception over time. Additionally, the study relied on hypothetical nudges rather than actual behavioral responses in real-world settings, which limits the extent to which conclusions about effectiveness can be drawn. Future research should involve longitudinal and field studies with more demographically diverse participants. Moreover, other important factors such as trust in government, exposure to misinformation, and religious beliefs—which may strongly influence attitudes toward nudges—were not measured and should be considered in future research.

Conclusion

This study contributes to the growing body of literature on cross-cultural perceptions of nudges, providing novel insights into the Arab context. Our findings reveal a generally positive attitude towards COVID-19-related nudges in the studied Arab countries, with important variations based on nudge type and sociodemographic factors. These findings reflect the perspectives of university affiliates and may not be generalizable to the broader population. These results underscore the potential of nudging as a public health strategy in the Arab world, while also highlighting the need for culturally sensitive and context-specific approaches to behavioral interventions. As the global community continues to grapple with public health challenges, understanding these cultural nuances in nudge perception becomes increasingly crucial for effective policy-making and public health management.

Supporting information

S1 Checklist. Inclusivity in global research checklist.

(DOCX)

pgph.0004692.s001.docx (67.1KB, docx)
S1 Table. Mapping of interventions onto the Nuffield Council on Bioethics Intervention Ladder.

(DOCX)

pgph.0004692.s002.docx (15.1KB, docx)
S2 Table. Approval of COVID-19-related nudges by family COVID-19 status.

(DOCX)

pgph.0004692.s003.docx (16.5KB, docx)
S3 Table. Approval of COVID-19-related nudges by income.

(DOCX)

pgph.0004692.s004.docx (17.2KB, docx)

Data Availability

The data sets used and/or analyzed during the current study are available on an online repository through this link: https://osf.io/eav4j/.

Funding Statement

The authors received no specific funding for this work.

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PLOS Glob Public Health. doi: 10.1371/journal.pgph.0004692.r001

Decision Letter 0

Miguel Reina Ortiz

31 Mar 2025

PGPH-D-25-00340

Perceptions of COVID-19-related nudges in the Arab world: A cross-country analysis of approval rates and associated factors

PLOS Global Public Health

Dear Dr. Fakhoury,

Thank you for submitting your manuscript to PLOS Global Public Health. After careful consideration, we feel that it has merit but does not fully meet PLOS Global Public Health’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please refer to reviewer's comments and address all of them. There are no contradictory comments in the reviewer's suggestions that should cause confusion in the revision of the manuscript. Pay particular attention to PLOS Global Public Health policy regarding data availability.

In addition to reviewers' comments, authors should refrain from conclusions or interpretation not sustained by the study. For instance, since the effectivity of the actual nudges was not evaluated, it can hardly be advisable for policy-makers to implement a nudge strategy based only on the results from this study.

Please submit your revised manuscript by May 15 2025 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at globalpubhealth@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pgph/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

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  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

We look forward to receiving your revised manuscript.

Kind regards,

Miguel Reina Ortiz, M.D., M.S., M.P.H., M.P.T., Ph.D.

Academic Editor

PLOS Global Public Health

Journal Requirements:

1. Please include a complete copy of PLOS’ questionnaire on inclusivity in global research in your revised manuscript. Our policy for research in this area aims to improve transparency in the reporting of research performed outside of researchers’ own country or community. The policy applies to researchers who have travelled to a different country to conduct research, research with Indigenous populations or their lands, and research on cultural artefacts. The questionnaire can also be requested at the journal’s discretion for any other submissions, even if these conditions are not met. Please find more information on the policy and a link to download a blank copy of the questionnaire here: https://journals.plos.org/globalpublichealth/s/best-practices-in-research-reporting. Please upload a completed version of your questionnaire as Supporting Information when you resubmit your manuscript. 2. In the online submission form, you indicated that The data sets used and/or analyzed during the current study are available from the authors upon reasonable request.  All PLOS journals now require all data underlying the findings described in their manuscript to be freely available to other researchers, either 1. In a public repository, 2. Within the manuscript itself, or 3. Uploaded as supplementary information. This policy applies to all data except where public deposition would breach compliance with the protocol approved by your research ethics board. If your data cannot be made publicly available for ethical or legal reasons (e.g., public availability would compromise patient privacy), please explain your reasons by return email and your exemption request will be escalated to the editor for approval. Your exemption request will be handled independently and will not hold up the peer review process, but will need to be resolved should your manuscript be accepted for publication. One of the Editorial team will then be in touch if there are any issues.

Additional Editor Comments (if provided):

Thank you very much for your submission. Please refer to reviewer's comments and address all of them. There are no contradictory comments in the reviewer's suggestions that should cause confusion in the revision of the manuscript. Pay particular attention to PLOS Global Public Health policy regarding data availability.

In addition to reviewers' comments, authors should refrain from conclusions or interpretation not sustained by the study. For instance, since the effectivity of the actual nudges was not evaluated, it can hardly be advisable for policy-makers to implement a nudge strategy based only on the results from this study.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Does this manuscript meet PLOS Global Public Health’s publication criteria ? Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe methodologically and ethically rigorous research with conclusions that are appropriately drawn based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

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2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

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3. Have the authors made all data underlying the findings in their manuscript fully available (please refer to the Data Availability Statement at the start of the manuscript PDF file)?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception. The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: No

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4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS Global Public Health does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

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5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: Thank you for the opportunity to review this manuscript. The study on COVID-19-related nudges is interesting, given the severity of the crisis and the cultural context of the Arab world. Here are my comments, which I hope will be useful for your revision.

First, I believe that the inclusion of data from the four Arab countries (Egypt, Lebanon, Saudi Arabia, and the UAE) strengthens the generalizability of the findings within the region. That said, because studies on nudges have generally come from the West, and you employ methodologies from such studies, you should enhance the discussion on its comparisons to the existing literature, which you only do so in brief (e.g., Sunstein et al.). In particular, expand the discussion on why certain nudges (e.g., GPS tracking) are more accepted in the Arab world than in Western contexts, possibly due to differing attitudes toward privacy and public health priorities. This discussion will highlight the importance of understanding variations in public perceptions based on cultural and national differences when developing nudge interventions.

Your theory development could be stronger. You used Hofstede’s cultural dimensions but do not connect those dimensions to the nudges. Please discuss how specific cultural dimensions (e.g., power distance, uncertainty avoidance, etc.) explains the differences in the acceptance of intrusive versus instructive nudges. Also, please note that Hofstede's dimensions have been criticized for its methodology and generalizability (Venaik, S. and Brewer, P. (2013), "Critical issues in the Hofstede and GLOBE national culture models", International Marketing Review, Vol. 30 No. 5, pp. 469-482. https://doi.org/10.1108/IMR-03-2013-0058). You may want to address this in your methods and say why the framework is appropriate for this study.

The sample consists primarily of university students and academic staff, which may not fully represent broader demographic groups in the Arab world. At minimum, you should acknowledge this limitation and discuss how future studies could include more diverse participants (e.g., older adults, rural populations, lower-income groups). You can also try to address this limitation with sub-group analyses by the demographic variables in your data to determine if there are systematic biases.

I do not understand how you categorized the nudges into intrusive, instructive, informative, entertainment, and moral. Please discuss how you derived these categories with a stronger theoretical or empirical basis for the classifications, possibly referencing the literature.

Other variables, such as trust in government, and exposure to misinformation, or religious beliefs, may influence nudge approval but are not examined. These are potential confounders and should be addressed in how future research should explore their role in shaping public attitudes toward nudges.

My biggest concern with this study is that it evaluates hypothetical nudges rather than real-world interventions. Hence, there is a limit to what we can learn from this paper. You might want to explore further how perceptions of nudges might differ if implemented in real settings and suggest avenues for experimental or observational studies. This weakness makes the policy discussion less meaningful. While you mention the importance of considering cultural sensitivities, you can't provide specific recommendations for designing and implementing nudges in Arab countries.

Reviewer #2: This study examines public approval of COVID-19-related nudges in Egypt, Lebanon, Saudi Arabia, and the UAE. Using survey data from 698 participants, it finds high overall support (76%), especially for informative and instructive nudges. Intrusive nudges were less favored. Approval varied by country, demographics, and level of COVID-19 concern. The findings suggest nudging can be effective in the Arab world if culturally tailored.

This is an interesting paper that presents novel findings from a region where public opinion data—particularly on behavioral interventions like nudges—is relatively scarce. The cross-country design and focus on COVID-19-related nudges in the Arab world are valuable contributions. The results are clear and relevant for both policy and behavioral science. That said, the paper would benefit from addressing several issues outlined below.

Comments:

1. In the introduction, the authors state that “the effectiveness of nudging has been well-documented in Western contexts.” This phrasing may imply that nudges are always effective, which is not the case. I recommend rephrasing to acknowledge the mixed evidence and contextual variability in nudge effectiveness.

2. The Materials and Methods section does not explain how participants were recruited or how the survey was distributed. Was it via flyers, social media, email lists, or another method? These details are important for assessing sample representativeness and potential biases.

3. The authors state that informed consent was obtained while maintaining anonymity. More detail is needed: how was consent collected in practice (e.g., online checkbox, written form)? How was anonymity preserved during this process?

4. The approval/disapproval measure is binary. The authors should briefly explain why this approach was chosen over a Likert-type or continuous scale, which could capture more nuanced attitudes.

5. Some categorizations are unclear. For example, the prominent display of fruits and vegetables is labeled as “informative,” though it may be more accurately classified as environmental or design-based. The “spoilers” nudge is categorized as “entertainment,” but that label may not effectively convey its behavioral mechanism. Please clarify the reasoning behind these classifications.

6. There should be more discussion about how the eight nudges were selected. For instance, the fruits and vegetables display is not COVID-related—why was it included? Were any of the nudges based on actual policies implemented in the studied countries? If so, noting this would strengthen the paper.

7. It would be helpful to report the distribution of the total number of nudges approved by respondents, both overall and by country. This aggregate measure could also serve as a useful dependent variable in additional analyses.

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Reviewer #1: No

Reviewer #2: No

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PLOS Glob Public Health. doi: 10.1371/journal.pgph.0004692.r003

Decision Letter 1

Miguel Reina Ortiz

10 Jun 2025

PGPH-D-25-00340R1

Perceptions of COVID-19-related nudges in the Arab world: A cross-country analysis of approval rates and associated factors

PLOS Global Public Health

Dear Dr. Fakhoury,

Thank you for submitting your manuscript to PLOS Global Public Health. After careful consideration, we feel that it has merit but does not fully meet PLOS Global Public Health’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please submit your revised manuscript by Jul 25 2025 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at globalpubhealth@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pgph/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

We look forward to receiving your revised manuscript.

Kind regards,

Miguel Reina Ortiz, M.D., M.S., M.P.H., M.P.T., Ph.D.

Academic Editor

PLOS Global Public Health

Additional Editor Comments (if provided):

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

Reviewer #2: (No Response)

**********

2. Does this manuscript meet PLOS Global Public Health’s publication criteria ? Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe methodologically and ethically rigorous research with conclusions that are appropriately drawn based on the data presented.

Reviewer #1: Yes

Reviewer #2: Partly

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available (please refer to the Data Availability Statement at the start of the manuscript PDF file)?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception. The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: (No Response)

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS Global Public Health does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: (No Response)

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: No further comments. My concerns have been addressed

Reviewer #2: The authors have revised the manuscript in response to the initial review, and several of the comments have been satisfactorily addressed. However, some important concerns remain unresolved or only partially addressed. Below is a point-by-point assessment of the extent to which each of the original comments has been addressed:

1. Claim about the effectiveness of nudging in Western contexts

Addressed. The revised phrasing in the introduction appropriately reflects the mixed evidence and contextual variability in the effectiveness of nudging. This change improves the balance and nuance of the opening section.

2. Participant recruitment and sample representativeness

Partly addressed. While the authors now mention that recruitment was conducted via institutional mailing lists, they do not report how many emails were sent, what the response rate was, or whether the sample is representative of the broader target population. This information is important for assessing potential selection bias and the generalizability of the results. I recommend including these additional details.

3. Consent and anonymity procedures

Addressed. The manuscript now clearly explains how informed consent was obtained and how anonymity was preserved in the online survey context.

4. Binary approval measure

Addressed. The authors have provided a reasonable justification for using a binary measure.

5. Unclear categorization of nudges

Not addressed. Several categorizations remain unclear or inadequately justified. For example, the prominent display of fruits and vegetables continues to be labeled as “informative,” whereas this nudge is better understood as a salience-based or choice architecture intervention aimed at influencing defaults or attention. Similarly, the classification of the TV spoiler intervention as “entertainment” fails to capture its behavioral mechanism—namely, deterrence through aversive social sanctioning.

I strongly encourage the authors to revise the typology of nudges using more analytically grounded behavioral categories, such as:

-Choice architecture / salience

-Information disclosure / feedback

-Emotional or moral appeals

-Social norm enforcement / sanctions

-Coercive or surveillance-based interventions

Reclassifying nudges in this way (or in a similar way) would improve conceptual clarity and strengthen alignment with established behavioral economics frameworks.

6. Selection and justification of nudges

Not addressed. The rationale for including the eight specific nudges remains unclear. While the authors reference Hofstede’s cultural dimensions, they do not explain how these dimensions guided the selection of nudges.

Regarding the healthy eating nudge (display of fruits and vegetables), which is not specific to COVID-19, the authors now state that healthy eating was promoted during the pandemic to improve immunity in the studied countries, but they do not provide citations or supporting evidence. A reference or link to relevant policy guidance or public communications would be helpful to support this claim.

7. Distribution of total nudges approved

Addressed.

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7. PLOS authors have the option to publish the peer review history of their article (what does this mean? ). If published, this will include your full peer review and any attached files.

Do you want your identity to be public for this peer review? If you choose “no”, your identity will remain anonymous but your review may still be made public.

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Reviewer #1: No

Reviewer #2: No

**********

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PLOS Glob Public Health. doi: 10.1371/journal.pgph.0004692.r005

Decision Letter 2

Miguel Reina Ortiz

14 Aug 2025

PGPH-D-25-00340R2

Perceptions of COVID-19-related nudges in the Arab world: A cross-country analysis of approval rates and associated factors

PLOS Global Public Health

Dear Dr. Fakhoury,

Thank you for submitting your manuscript to PLOS Global Public Health. After careful consideration, we feel that it has merit but does not fully meet PLOS Global Public Health’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please submit your revised manuscript by Sep 13 2025 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at globalpubhealth@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pgph/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

We look forward to receiving your revised manuscript.

Kind regards,

Miguel Reina Ortiz, M.D., M.S., M.P.H., M.P.T., Ph.D.

Academic Editor

PLOS Global Public Health

Journal Requirements:

If the reviewer comments include a recommendation to cite specific previously published works, please review and evaluate these publications to determine whether they are relevant and should be cited. There is no requirement to cite these works unless the editor has indicated otherwise. 

Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

Additional Editor Comments:

Thank you very much for addressing previous comments. Please address the following comments.

1. In the methods and/or conclusions of the abstract, please indicate that the findings apply to university settings and not the general public.

2. Specify what stringent measures where used to maintain participant anonymity and data confidentiality (pages 123-124).

3. Line 127. Specify which Supplemental Information is being references (currently it reads "SX").

4. Specify in methods/results whether data on university affiliation (i.e., student, faculty, staff) was collected; if so, whether it was analyzed; and, if so, whether it had any impact on outcomes.

5. Denote sample size with "n" and universe size with "N."

6. Lines 162-165 state that country (Lebanon, UAE< Saudi Arabia or Egypt) are denoted in Table 1, but Table 1 does not show that information. Please update Table 1.

7. Lines 165-166, assure consistence between what is reported in the text and what is reported in the table. Suggest to report only the most appropriate measures of central tendency and dispersion (i.e., mean and SD OR median and IQR) as opposed to both. Same for number of children in Table 1.

8. In Table 1, report BMI only once (i.e., either as categories OR as "BMI = Healthy").

9. Table 1, add "self-reported" where applicable.

10. Explain definition, measurement and meaning of the following variable: "how would you describe your current health"?

11. In Table 1, report "self-health" and "COVID concern" only once.

12. Line 180, suggest to delete "the" before "choice."

13. In the methods section, "prominent placement of fruits and vegetables" is listed under the "choice architecture" category (Lines 140-141) ) whereas it is listed under the "information disclosure" category (Lines 182-184). Ensure that it is listed under the right category in both occasions.

14. Line 184, suggest to delete "the" before "moral." Also, suggest to write "Moral nudges" as opposed to "Moral nudge."

15. Need to justify how "prominent placement of fruits and vegetables" is a "COVID-19-related nudge."

16. Explain what is meant by "use of spoilers on billboards."

17. Explain under what category of nudges does "use of spoilers on billboards" fall into?

18. Table 2, ensure formatting is correct.

19. Explain in text what "park area divisions" mean.

20. Table 2, identify which category each nudge belong to.

21. Table 2, if not verbatim and explicitly described in the text of the nudge description, identify in parentheses, what type of nudge it is (i.e., public shaming, etc.).

22. Line 198, p<0.05 also found for the "nationalities being published" nudge.

23. Explain how "COVID concern" was measured. What instrument was used? What do the scores mean?

24. Line 204, there were two additional nudges showing p<0.05 associations with "COVID concern."

25. Lines 205-209, add percentages of approval. Also, add table showing this data.

26. Report associations with other variables, for instance, faculty vs. student, income level, medicine/health vs. other (do you have information about whether participants are affiliated with an economics and/or behavioral science department - if so, analyze and report associations), etc..

26. Lines 222-225, specify that this data comes from a university setting, not the general population.

27. Was being faculty vs. student have an impact on COVID?

28. Line 227, do you mean "acceptability" instead of "acceptance". Also, suggest to add "nudge-based" before intervention.

29. Lines 229-235 can be deleted, offers no new insight.

30. Line 238, consider deleting "established."

31. Line 243, clarify whether those (i.e., GPS tracking, social distancing floor markers, and public disclosure of infection causes) are examples of "observed interventions," "illustrative examples," or "actual implementation." Also, how do you distinguish between "observed interventions" and "actual implementation."

32. 249, this aim is different than the one stated at the beginning of the paper (i.e., nudges vs. policies). Be consistent.

33. Lines 240-252, this process of selecting nudges should be moved to the methods section. Also, explain on more detail how experts where consulted and how they provided feedback. Was there a particular methodology used?

34. Explain, in the methods, how did the Hofstede's scale informed nudge selection. Despite being "high power distance" some of the nudges selected range at different levels of power balance/hierarchy/intrusiveness. Did Hofstede's scale play a role in nudge selection? in the analysis? or only in the discussion?

35. Lines 266-270, please move to methods section where nudges and their selection are being explained.

36. Line 304 needs rephrasing, check for grammar and syntax.

37. Lines 319-320, move up, next to 312.

38. Line 329, defined the target population, put that definition in the introduction and/or methods.

39. Line 333-334, this sub-category analysis is still limited by the sample being taken from a university setting, it does not address the limitation.

40. Line 349-351, indicate that the population studied was in a university setting.

GENERAL: not clear if the "public disclosure" nudges disclose aggregated data OR individual, identifiable data with, say, cause of infection or nationality. Please clarify this in the methods section.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #2: All comments have been addressed

**********

2. Does this manuscript meet PLOS Global Public Health’s publication criteria ? Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe methodologically and ethically rigorous research with conclusions that are appropriately drawn based on the data presented.

Reviewer #2: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #2: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available (please refer to the Data Availability Statement at the start of the manuscript PDF file)?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception. The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #2: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS Global Public Health does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #2: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #2: The issues I had raised have been addressed. I have no more comments.

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean? ). If published, this will include your full peer review and any attached files.

Do you want your identity to be public for this peer review? If you choose “no”, your identity will remain anonymous but your review may still be made public.

For information about this choice, including consent withdrawal, please see our Privacy Policy .

Reviewer #2: No

**********

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

PLOS Glob Public Health. doi: 10.1371/journal.pgph.0004692.r007

Decision Letter 3

Miguel Reina Ortiz

21 Sep 2025

Perceptions of COVID-19-related nudges in the Arab world: A cross-country analysis of approval rates and associated factors

PGPH-D-25-00340R3

Dear Dr. Fakhoury,

We are pleased to inform you that your manuscript 'Perceptions of COVID-19-related nudges in the Arab world: A cross-country analysis of approval rates and associated factors' has been provisionally accepted for publication in PLOS Global Public Health.

Before your manuscript can be formally accepted you will need to complete some formatting changes, which you will receive in a follow up email. A member of our team will be in touch with a set of requests.

Please note that your manuscript will not be scheduled for publication until you have made the required changes, so a swift response is appreciated.

IMPORTANT: The editorial review process is now complete. PLOS will only permit corrections to spelling, formatting or significant scientific errors from this point onwards. Requests for major changes, or any which affect the scientific understanding of your work, will cause delays to the publication date of your manuscript.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they'll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact globalpubhealth@plos.org.

Thank you again for supporting Open Access publishing; we are looking forward to publishing your work in PLOS Global Public Health.

Best regards,

Miguel Reina Ortiz, M.D., M.S., M.P.H., M.P.T., Ph.D.

Academic Editor

PLOS Global Public Health

***********************************************************

Reviewer Comments (if any, and for reference):

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Checklist. Inclusivity in global research checklist.

    (DOCX)

    pgph.0004692.s001.docx (67.1KB, docx)
    S1 Table. Mapping of interventions onto the Nuffield Council on Bioethics Intervention Ladder.

    (DOCX)

    pgph.0004692.s002.docx (15.1KB, docx)
    S2 Table. Approval of COVID-19-related nudges by family COVID-19 status.

    (DOCX)

    pgph.0004692.s003.docx (16.5KB, docx)
    S3 Table. Approval of COVID-19-related nudges by income.

    (DOCX)

    pgph.0004692.s004.docx (17.2KB, docx)
    Attachment

    Submitted filename: Response to Reviewers.docx

    pgph.0004692.s006.docx (24.7KB, docx)
    Attachment

    Submitted filename: Response to Reviewersv2.docx

    pgph.0004692.s007.docx (20.4KB, docx)
    Attachment

    Submitted filename: Response to editor.docx

    pgph.0004692.s008.docx (28.9KB, docx)

    Data Availability Statement

    The data sets used and/or analyzed during the current study are available on an online repository through this link: https://osf.io/eav4j/.


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