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COVID-19, SARS-CoV-2, social distancing, physical distancing, behaviour change, iCARE
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Durand H, Bacon SL, Byrne M et al. Adherence to physical distancing guidance in Ireland: a nationally representative analysis from the International COVID-19 Awareness and Responses Evaluation (iCARE) study [version 1; peer review: 2 approved with reservations]. HRB Open Res 2021, 4:36 (https://doi.org/10.12688/hrbopenres.13237.1)
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Research Article
Adherence to physical distancing guidance in Ireland: a nationally representative analysis from the International COVID-19 Awareness and Responses Evaluation (iCARE) study
[version 1; peer review: 2 approved with reservations]
PUBLISHED 19 Apr 2021
OPEN PEER REVIEW
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This article is included in the Coronavirus (COVID-19) collection.
Abstract
Corresponding author:
Hannah Durand
Competing interests:
No competing interests were disclosed.
Grant information:
Health Research Board & Irish Research council (COV19-2020-097).
The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Copyright:
© 2021 Durand H et al.
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Data associated with the article are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication).
How to cite: Durand H, Bacon SL, Byrne M et al. Adherence to physical distancing guidance in Ireland: a nationally representative analysis from the International COVID-19 Awareness and Responses Evaluation (iCARE) study [version 1; peer review: 2 approved with reservations]. HRB Open Res 2021, 4:36 (https://doi.org/10.12688/hrbopenres.13237.1)
First published: 19 Apr 2021, 4:36 (https://doi.org/10.12688/hrbopenres.13237.1)
Latest published: 19 Apr 2021, 4:36 (https://doi.org/10.12688/hrbopenres.13237.1)
The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Introduction
The rapid spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the resultant ongoing global coronavirus disease 2019 (COVID-19) pandemic has necessitated the implementation of several behaviour-based disease prevention measures. Public adherence to these measures has proved vital to slow the spread of COVID-19 infection in the community. One of the most powerful measures at our disposal to slow the spread of COVID-19 is physical distancing (Anderson et al., 2020; Islam et al., 2020). Physical distancing (previously described as social distancing; Harris et al., 2020; Kumar, 2020) is a set of non-pharmaceutical public health interventions designed to prevent the spread of a contagious disease by maintaining a physical distance between people and reducing the number of times people come into close physical contact with others, for example by reducing social gatherings and non-essential travel outside the home (Harris et al., 2020). The basic goal of distancing measures is to decrease the average number of people an infected person will infect in turn (i.e., the effective reproduction number, R) to below 1. Once R is reduced to well below 1, more stringent and costly physical distancing restrictions such as school and workplace closures may be lifted while keeping the number of new cases of the disease stable.
Even with recently developed vaccines offering protection against COVID-19 coming to market and being rolled out internationally (Polack et al., 2020; Voysey et al., 2021), physical distancing is likely to form part of the public’s everyday life for the foreseeable future. Until a sufficiently large proportion of the population is immunised from COVID-19, physical distancing will be required to slow community transmission, limit opportunities for virus mutation, and prevent overburdening of the healthcare system. Therefore, understanding the determinants of public adherence to physical distancing measures is of vital importance to support effective public health interventions and communications to promote these behaviours.
Several factors are likely to determine why people do or do not adhere to various public health measures. Of the many behaviour change models outlined in the literature, these two complementary theoretical approaches may be applied to usefully summarise these factors: (1) the COM-B (Capability, Opportunity, Motivation-Behaviour) model, which posits that capability, opportunity, and motivation factors must be present in order for any given behaviour to occur (Michie et al., 2011); and (2) the Health Belief Model, which posits that health behaviours are predicted by the individual’s perceived benefits, perceived barriers, perceived susceptibility, perceived severity, self-efficacy, and cues to action (Rosenstock et al., 1988). Together these models provide a comprehensive framework for understanding the psychological, behavioural, social, and environmental factors that predict human behaviour change and adaptation. Many of these factors, particularly motivations, beliefs, and concerns about COVID-19 are likely to vary according to demographic variables, such as socioeconomic and employment status, developmental stage, and membership of groups at higher risk of COVID-19-related complications, for example, older age groups (Atchison et al., 2020), those with pre-existing chronic conditions, and those who are immunocompromised.
The current study forms part of the International COVID-19 Awareness and Responses Evaluation (iCARE) survey (Bacon et al., 2021). iCARE was established to assess public awareness, attitudes, concerns, and behavioural responses to COVID-19 public health policies, and their impacts, on people around the world, and to link behavioural survey data with policy, mobility, and case data to provide behavioural science, data-driven recommendations to governments on how to optimise current policy strategies to reduce the impact of the COVID-19 pandemic. Therefore, the current study aimed to evaluate rates of adherence to a suite of physical distancing behaviours and to identify potential determinants of adherence behaviour in the context of the ongoing COVID-19 pandemic in the Republic of Ireland using a nationally representative sampling strategy.
Method
The current study is reported in line with the STrengthening the Reporting of OBservational studies in Epidemiology (STROBE) statement (von Elm et al., 2008). A protocol for the current study has been published (Durand et al., 2020a). The current study forms part of a broader project focused on physical distancing in Ireland, which is registered with the Open Science Framework (Durand et al., 2020b).
Ethical approval
Ethical approval for the current study was sought and obtained from the Research Ethics Committee at NUI Galway (Ref no.: HRB20-Apr-18). The iCARE study received ethical approval from the Human Research Ethics Committee of the CIUSSS-NIM (Ref no.: #2020-2099 / 03-25-2020).
Study design
The iCARE study is an international, multi-wave, cross-sectional, observational cohort study, the aim of which is to assess public awareness, attitudes, concerns, and behavioural responses to COVID-19 public health policies, and their impacts, in order to provide behavioural science, data-driven recommendations to governments on how to optimise policy strategies to reduce the impact of the COVID-19 pandemic worldwide. Survey data is collected in monthly waves using convenience snowball sampling (globally) and parallel representative sampling in targeted countries. The core elements of the survey assess awareness, attitudes, and beliefs regarding local COVID-19 public health policies; behavioural responses (i.e., adherence) to local COVID-19 public health policies; concerns about COVID-19; impacts of COVID-19 and its policies (social, occupational, economic, physical and mental health); COVID-19 information sources; COVID-19 testing and infection status; physical and mental health status; general health behaviours; socio-demographics; socio-economic barriers and facilitators of adherence. Questions assessing awareness, attitudes, concerns, behavioural responses, and barriers and facilitators to adherence are aligned with the constructs in both the COM-B (Michie et al., 2011) and Health Belief Model (Rosenstock et al., 1988; see Measures, below). Questions assessing impacts of COVID-19 were also chosen to facilitate comparison with international COVID-19 studies involving the National Institutes of Health (NIH Office of Behavioral and Social Sciences Research, 2020) and World Health Organization (WHO, 2020). A complete report of the iCARE study method is published (Bacon et al., 2021).
The current analyses were carried out on data collected from a nationally representative sample of adult participants residing in the Republic of Ireland (described below) collected during Survey 3 of iCARE, between 24th – 30th June 2020 inclusive. At that time, Ireland was in Phase 2 of the government’s short-term emergency response approach, described in the Government of Ireland Roadmap for Reopening Business and Society. In brief, residents in Ireland could travel within their own county or up to 20 kilometres from their home if crossing county boundaries; meet up to 6 people from outside their household either indoors or outdoors for social gatherings; and take part in organised outdoor exercise, sporting, cultural, or social activities with up to 15 people. All retail shops were permitted to open, including non-essential retail. Bars and restaurants were open for dine-in and take-away service. Working from home was encouraged where possible. Avoiding public transport was also advised, and capacities on public transport were reduced. Maintaining physical distance of 2 metres between individuals from different households in work, social, and retail settings was advised. This was supported through the use of government signage in public spaces and guidance for retailers. Public health guidelines were enforced by the Irish police force, An Garda Síochána, using a graduated policing response (i.e., engage, educate, encourage, and, as a last resort, enforce) based on its tradition of policing by consent (An Garda Síochána, 2020).
Participants
People aged 18 years and over and living in the Republic of Ireland were eligible to participate. Participants were recruited using panel provision services of Amárach Research, a market research agency based in Ireland. The average cooperation rate (i.e., the extent to which contacted individuals cooperate with a request to participate in a survey) for surveys of similar length utilising these services is 20%. A total of 1424 participants provided complete responses to the survey. A sub-sample of 424 participants was removed randomly from over-represented sociodemographic categories to bring the final sample as close as possible to nationally representative. A weighting variable was subsequently applied to the dataset to ensure the analyses were reflective of the entire population. This approach was taken to ensure the sample was nationally representative of the population of the Republic of Ireland in terms of key demographic and socioeconomic factors (i.e., age, gender, and socioeconomic status), and to strengthen our ability to make general inferences from the data.
Measures
A questionnaire tool was designed specifically for the iCARE study. Due to the unavailability of validated scales, questionnaire items were determined in line with current global COVID-19 prevention policies and health psychology theory, specifically the COM-B model (Michie et al., 2011), a framework for understanding behaviour as an interaction between capability, opportunity, and motivation factors, and the Health Belief Model (Rosenstock et al., 1988), a social cognitive health behaviour change model developed to explain and predict health-related behaviours, comprising perceived benefits, perceived barriers, perceived susceptibility, perceived severity, self-efficacy, and cues to action constructs as predictors of health behaviour. The survey consisted of 50 questions (92 items). The core elements of the survey assessed the following domains: awareness of local COVID-19 public health policies; attitudes/beliefs about local COVID-19 public health policies; behavioural responses (adherence) to local COVID-19 public health policies; perceived concerns about COVID-19; the impacts of COVID-19 and its policies (social, occupational, economic, physical and mental health); COVID-19 information sources; COVID-19 testing and infection status; physical and mental health status; general health behaviours; socio-demographics; and socio-economic barriers and facilitators of adherence. The questionnaire tool is publicly available via the Open Science Framework (Lavoie & Bacon, 2020).
Procedure
Members of an Amárach research panel were invited to participate in the iCARE survey via email invitation. Given that the iCARE study was already underway, with data collection for Surveys 1 and 2 already completed, by the time the current project (Durand et al., 2020b) began, targeted recruitment efforts focused on Survey 3. Participants provided informed consent for study participation and completed the iCARE survey distributed using the LimeSurvey© open-source tool via smartphone, laptop, or personal computer. The survey took approximately 15–20 minutes to complete and all responses were anonymous. Participants were then directed to provide their contact information on a separate form in order to be entered into a prize draw for one of six multi-store gift vouchers to the value of €25.
Statistical analyses
Data were analysed descriptively using SPSS v.25.0 (IBM Corp, 2017). Missing data was handled using a listwise deletion approach due to the small and random nature of the missing data and the large sample size.
Results
Sample characteristics
Participant sociodemographic characteristics are provided in Table 1 (Durand et al., 2020a). Participants ranged in age from 18 to 89 years (M = 45.32, SD = 15.67). Of the total sample, 222 (22.2%) were over the age of 60 and therefore considered to be at high risk from COVID-19 (i.e., more likely to become seriously ill if they contract COVID-19; Health Service Executive, 2020).
Table 1. Sociodemographic profile of the sample.
Of the total sample, 37.2% had at least one pre-existing health condition that meant they were at high or very high risk (i.e., extremely vulnerable to serious illness from coronavirus infection) from COVID-19 (Health Service Executive, 2020). These included: history of heart disease, heart attack or stroke (12.1%); chronic lung disease (13.7%); active cancer (2.8%); hypertension (21.8%); diabetes (9.2%); severe obesity (6.9%); any autoimmune disease (10.2%); or other conditions that compromise immunity (e.g., organ transplant recipients, taking immunosuppressant medications; 5.5%).
Awareness of government measures
Given the relative leniency of restrictions in place at the time of data collection, a distinction must be drawn between mandated and voluntary preventive behaviours when interpreting the following awareness and adherence data. In particular, though government advice was to limit social contacts, social gatherings of six persons or fewer were permitted under Phase 2 restrictions. Bars and restaurants were also permitted to open to the public provided physical distancing was facilitated and increased hygiene precautions were implemented. This is therefore likely to have affected responses to the iCARE survey, and the following results should be interpreted with this in mind.
Overall, participants had good awareness of the physical distancing measures in place in Ireland at the time of participation. Specifically: 98.5% were aware of the recommendation to maintain two metres distance from others outside of your household; 83.5% were aware of the recommendation to work from home if possible; 91% were aware of advice to avoid non-essential travel; 91% were aware of the requirement to self-isolate on return from travel; 95.2% were aware of the requirement to self-isolate/restrict movements if you have symptoms; 73% were aware of advice to avoid going to bars and restaurants. The policies for which there were the lowest levels of awareness were avoiding social gatherings (50.4%) and avoiding playdates with children from other households (51.7%).
Attitudes towards government measures
The majority of participants (87.0%) felt that measures taken by the government to slow the spread of COVID-19 were very important. Less than 1% (0.6%) of respondents felt that the measures were not important at all. Most (80.3%) felt that the measures were ‘about right’ in terms of stringency. Only 7.0% felt that the measures were too strict, while 11.8% felt the measures were too lenient. With regard to government motivations (i.e., protecting public health versus protecting the economy), 48.9% felt the government’s actions were mainly motivated by protecting public health. A further 39.7% believed the government’s actions were generally motivated by protecting public health and secondarily motivated by protecting the economy. In contrast, 6.7% of respondents believed the government’s actions were generally motivated by protecting the economy and secondarily by protecting public health. Only 2.8% felt the government’s primary motivation was protecting the economy.
Adherence to physical distancing measures
Overall adherence to physical distancing measures was high, with the majority of participants reporting that they adhered to public health measures ‘most of the time.’ Specifically: 83.7% reported they maintained two metres distance from others outside of their household; 55.9% reported avoiding social gatherings; 71.6% reported avoiding non-essential travel; 58% reported avoiding public transport unless essential; 55.5% reported working from home; 69.2% reported avoiding bars and restaurants. Of those who had travelled (44.9%), 75.7% reported self-isolating on their return. Of those who were confirmed or suspected cases (52%), 83.4% reported self-isolating/restricting movements. Adherence data is presented graphically in Figure 1.
Figure 1. Overall adherence to physical distancing measures.
Potential determinants of adherence to physical distancing measures
Theoretical determinants of adherence to physical distancing measures are discussed as per COM-B under Capability, Opportunity, and Motivation headings in line with the proposed conceptual model outlined by Bacon and Lavoie for the iCARE study (2021).
Demographics
Age. Participants aged between 25 and 34 years were the least adherent to several physical distancing measures: maintaining two metres distance from others (71.2%, versus 79–90% for all other age groups); avoiding social gatherings (42.4%, versus 52–62%); avoiding non-essential travel (63.9%, versus 69–79%). Participants aged between 18 and 24 were most adherent to self-isolation measures: 55.4% reported self-isolating after return from travel, versus approximately 35% for all other age groups; 57.2% reported self-isolating if suspected or confirmed to have COVID-19, versus 43–48% for all other age groups. There were no other notable differences in adherence based on age.
Sex. Females were marginally more adherent to physical distancing measures than were males. Slightly more females (75.6%) than males (67.6%) reported avoiding non-essential travel. Slightly more females (58.6%) than males (47.3%) reported working from home. Consequently, more females (62.2%) than males (53.7%) reported avoiding public transport. Slightly more females (71.4%) than males (67%) reported avoiding bars and restaurants. There was no difference between males and females in frequency of maintaining two metre distance from others, avoiding social gatherings, or self-isolating when required.
Capability
Risk category. Participants with a chronic physical health condition that placed them in the high- or very high-risk category reported avoiding social gatherings (60.6% versus 52.9%), avoiding non-essential travel (74.8% versus 69.6%), and avoiding bars and restaurants (73.6% versus 66.4%) slightly more frequently than those in lower risk categories.
Mental health and quality of life. There was no notable difference in frequency of adherence to any physical distancing measure between participants with a depressive disorder (e.g., major depression) and those without, or between participants with an anxiety disorder (e.g., generalised anxiety disorder, panic disorder) and those without. Participants who reported that their quality of life had become much worse as a result of the pandemic reported slightly poorer adherence to all physical distancing measures than those whose quality of life had remained the same or changed for the better (mean difference = 8.3%).
Motivation
Perception of COVID-19 policies. Unsurprisingly, those who considered the government measures put in place to slow the spread of COVID-19 to be very important reported the highest levels of adherence to almost all measures (Figure 2). Those who found the measures to be too strict reported the lowest adherence across most physical distancing behaviours (Figure 3).
Figure 2. Perceived importance of government measures and adherence to physical distancing.
Figure 3. Perceived stringency of government measures and adherence to physical distancing.
COVID-19 beliefs and concerns. Participants who believed they were doing much more than others to prevent COVID-19 transmission reported adhering to all measures most frequently; interestingly, those who believed they were doing much less than most to mitigate the spread of COVID-19 were no less adherent to several physical distancing measures than those who believed they were doing more than most (Figure 4). Higher levels of concerns overall (i.e., concerns about one’s own health and the health of others; concerns about personal financial impact and the economy) were associated with higher rates of reported adherence to prevention measures.
Figure 4. Perceived adherence relative to others and adherence to physical distancing.
Government policies to promote adherence. Participants reported that information about how their actions are helping to slow the spread of COVID-19 in the community and to save lives was most likely to persuade them to adhere to physical distancing measures. Information about how COVID-19 is spread, COVID-19-related complications and risk of death, and limited healthcare resources were also rated as highly motivating. Information about international infection and death rates, impact of our actions on the economy, and threats of fines, arrest and quarantine were rated as least persuasive (Figure 5).
Figure 5. Extent to which various approaches motivate individuals to adhere to measures.
Opportunity
Socioeconomic status. There were some marginal differences in adherence between high and low socioeconomic status groups. Participants from the higher socioeconomic group (53.6%) reported avoiding social gatherings slightly less frequently than those from the lower socioeconomic group (58.1%). Participants from the higher socioeconomic group (73.5%) reported avoiding non-essential travel more frequently than those from the lower socioeconomic group (69.9%). Participants from the higher group were more frequently able to work from home (63.7% versus 47.7%) and, consequently, avoided public transport more frequently (60.8% versus 55.3%). There were no other notable differences in adherence between the two groups. Adherence data across SES groups is depicted in Figure 6.
Figure 6. Frequency of adherence to physical distancing measures between higher and lower SES groups.
Personal experience of COVID-19. Participants who had been or suspected they had been infected with coronavirus did not report adhering to physical distancing measures more frequently than those who had not. Participants who knew someone personally who had or had likely been infected with coronavirus were no more adherent to any physical distancing measure than those who did not. Participants who knew someone personally who had or were suspected to have died from COVID-19 were also no more adherent than those who did not.
Discussion
The current findings provide important information regarding potential predictors of adherence to physical distancing behaviour. It is important to note that some of these measures and behaviours are under the individual’s control to a greater extent than others. In particular, it is not possible to do certain kinds of work from home, and, in some cases, employers have not allowed it. This may explain differences in adherence observed between higher and lower SES groups in this sample, given unequal access to remote work across income levels, industries, and socioeconomic groups (Crowley et al., 2020). Encouragingly, adherence to measures that are most under individual control (e.g., maintaining 2-metre distance between individuals) was highest overall. The poorest adherence was observed for avoiding social gatherings. There are several potential explanations for this. First, the survey did not differentiate between small and large social gatherings. Small social gatherings were permitted under the restrictions in place at the time of data collection, so it cannot be assumed that those who reported not adhering to this measure at least some of the time were in violation of restrictions or not taking precautions to meet others safely. There may also be a developmental component. Young people aged between 25–34 reported avoiding social gatherings less frequently than other age groups. This may reflect a developmental need among this group to seek out connection with others (Qualter et al., 2015). Furthermore, due to unaffordable housing costs, young adults may be more likely to live alone, in shared rented accommodation with strangers, or with their parents (OECD, 2020), and so may be more likely to seek out social connection with friends and peers to avoid feelings of isolation. It is important that government policies take into account the ways an increasing number of young people are living to ensure that they are not disproportionately disadvantaged by public health interventions.
The current findings also suggest that women are marginally more adherent to physical distancing measures than are men. This is consistent with international research (Clark et al., 2020). There are several explanations for gender differences in adherence in the context of COVID-19. Women may be more likely to seek out and engage with health information (Ek, 2015), and therefore may have greater knowledge regarding restrictions in place at any given time (Note: though there were no gender differences in awareness of government policies, the current analyses could not elucidate respondents’ understanding of what each measure entailed, e.g., what exactly is meant by ‘self-isolating’ and when it should be done. Qualitative research may be required to evaluate public comprehension of what each mitigation measure entails. Additionally, tolerance for risk and risk-taking propensity are generally lower among women than men (Harris & Jenkins, 2006). Further, females in the current sample were marginally more concerned about health-related effects of COVID-19 and the pandemic than were males, which may have motivated better adherence. Future public health efforts may benefit from incorporating more nuanced guidelines to support safe social engagement with appropriate physical distancing behaviours. Specifically targeting men and younger individuals may be appropriate.
Participants rated measures to promote adherence that were framed positively as being more likely to motivate them to adhere to physical distancing measures. Specifically, providing information on how their actions were helping to slow the spread of infection and save lives were rated as being most likely to promote adherence. Punitive measures such as threats of fines, arrest or quarantine, as well as information that participants may have considered to be less relevant to the Irish context (i.e., information about infection and death rates in other countries) were rated as least likely to promote adherence. Relatedly, participants reported being very concerned about the risk of loved ones and members of the community becoming infected with COVID-19, more so than they were concerned about becoming infected themselves. Future communications strategies that promote pro-social attitudes may be more effective than punitive measure or fear appeals in ensuring adherence to physical distancing measures going forward (Heffner et al., 2021; Jordan et al., 2020; Pfattheicher et al., 2020).
The current findings must be considered in light of certain limitations. First, although the nationally representative sampling strategy used in this study is an important strength, we did not have sufficient resources to repeat this sampling strategy across additional waves of the iCARE study. Convenience sampling strategies utilised to recruit participants living in Ireland to other waves of the iCARE study yielded much lower rates of recruitment, and so weighting could not be reliably applied. Therefore, it was not possible to assess changes in behaviour over the course of the pandemic. Relatedly, government measures and public health advice were rapidly changing at the time of data collection, and have continued to do so, which may limit the usefulness of some of these analyses. That said, these data provide an important snapshot of the public’s response to an unprecedented public health emergency that can inform future research and public health applications. Future research using a longitudinal design and path analyses may overcome some of these limitations. Second, using the iCARE international survey as opposed to creating our own survey locally did not allow for deviations from the international study protocol in response to the specific trajectory of the pandemic in Ireland. However, this approach serves to reduce participant burden in a busy research space, to minimise research waste (Glasziou et al., 2020), and allow us to contextualise Irish responses within the broader international iCARE sample in future analyses. Third, the survey was created specifically for the iCARE study and therefore its psychometric properties are not well established. That said, principal component analysis of the global dataset yielded 3 to 4 components with very high internal consistency, which supports the reliability of the survey tool. Relatedly, it is not clear whether respondents described certain physical distancing behaviours as being not applicable due to their own personal circumstances or a lack of awareness or understanding of the specific restrictions in place in Ireland at the time. Finally, items relating to travel did not distinguish between international and national travel, which may have impacted estimates of adherence to self-isolation measures.
Limitations notwithstanding, the current study makes an important contribution to the literature on adherence to physical distancing guidance in response to the ongoing COVID-19 pandemic. In particular, the nationally representative sampling strategy ensures strong external validity of the current analyses. As such, these findings can be generalised with some confidence to the population of Ireland. This also allowed for comparisons of key sociodemographic groups to be made. Furthermore, utilising data from the iCARE study, which leverages the expertise and resources of 150 expert collaborators in 40 countries, will facilitate future comparison with international datasets to contribute important evidence to support the development and implementation of COVID-19 policy strategies worldwide.
Conclusion
This cross-sectional study collected data on adherence to physical distancing behaviour from a nationally representative sample of 1000 participants in the Republic of Ireland. Overall adherence rates were high, with some variation between sociodemographic groups. Future interventions to improve adherence to physical distancing measures may benefit from tailoring to specific sociodemographic groups, for example men, younger people, and those who cannot work from home. Public health campaigns should continue to use positively framed messages to promote adherence to physical distancing guidance over more aversive or punitive measures.
Data availability
Underlying data
Open Science Framework: Identifying and addressing psychosocial determinants of adherence to physical distancing guidance during the COVID-19 pandemic. https://doi.org/10.17605/OSF.IO/JMKYC (Durand et al., 2020b).
This project contains the following underlying data:
Data are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication).
Extended data
Open Science Framework: iCARE Collaborator Documents. https://doi.org/10.17605/OSF.IO/NSWCM (Lavoie & Bacon, 2021).
This project contains the following extended data:
Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).
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Durand H, Bacon SL, Byrne M et al. Adherence to physical distancing guidance in Ireland: a nationally representative analysis from the International COVID-19 Awareness and Responses Evaluation (iCARE) study [version 1; peer review: 2 approved with reservations]. HRB Open Res 2021, 4:36 (https://doi.org/10.12688/hrbopenres.13237.1)
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PUBLISHED 19 Apr 2021
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How to cite this report:
Darker C. Reviewer Report For: Adherence to physical distancing guidance in Ireland: a nationally representative analysis from the International COVID-19 Awareness and Responses Evaluation (iCARE) study [version 1; peer review: 2 approved with reservations]. HRB Open Res 2021, 4:36 (https://doi.org/10.21956/hrbopenres.14399.r31911)
The direct URL for this report is:
https://hrbopenresearch.org/articles/4-36/v1#referee-response-31911
https://hrbopenresearch.org/articles/4-36/v1#referee-response-31911
NOTE: it is important to ensure the information in square brackets after the title is included in this citation.
Reviewer Report 03 May 2022
Approved with Reservations
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This paper represents an important area of research relating to the attitudes and behaviours of a sample of the general population in Ireland during COVID-19. The area focuses on physical distancing measures as a strategy adopted by the Government to
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Darker C. Reviewer Report For: Adherence to physical distancing guidance in Ireland: a nationally representative analysis from the International COVID-19 Awareness and Responses Evaluation (iCARE) study [version 1; peer review: 2 approved with reservations]. HRB Open Res 2021, 4:36 (https://doi.org/10.21956/hrbopenres.14399.r31911)
The direct URL for this report is:
https://hrbopenresearch.org/articles/4-36/v1#referee-response-31911
https://hrbopenresearch.org/articles/4-36/v1#referee-response-31911
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
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How to cite this report:
Tully M. Reviewer Report For: Adherence to physical distancing guidance in Ireland: a nationally representative analysis from the International COVID-19 Awareness and Responses Evaluation (iCARE) study [version 1; peer review: 2 approved with reservations]. HRB Open Res 2021, 4:36 (https://doi.org/10.21956/hrbopenres.14399.r29605)
The direct URL for this report is:
https://hrbopenresearch.org/articles/4-36/v1#referee-response-29605
https://hrbopenresearch.org/articles/4-36/v1#referee-response-29605
NOTE: it is important to ensure the information in square brackets after the title is included in this citation.
Reviewer Report 21 Jun 2021
Approved with Reservations
VIEWS 38
In this paper, the authors have used data from a nationally representative sample of 1000 Irish residents to evaluate adherence and awareness to COVID-19 public health restrictions.
This is a very well written article and contains very ... Continue reading
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HOW TO CITE THIS REPORT
Tully M. Reviewer Report For: Adherence to physical distancing guidance in Ireland: a nationally representative analysis from the International COVID-19 Awareness and Responses Evaluation (iCARE) study [version 1; peer review: 2 approved with reservations]. HRB Open Res 2021, 4:36 (https://doi.org/10.21956/hrbopenres.14399.r29605)
The direct URL for this report is:
https://hrbopenresearch.org/articles/4-36/v1#referee-response-29605
https://hrbopenresearch.org/articles/4-36/v1#referee-response-29605
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
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- Within the past 4 years, you have held joint grants, published or collaborated with any of the authors of the selected paper.
- You have a close personal relationship (e.g. parent, spouse, sibling, or domestic partner) with any of the authors.
- You are a close professional associate of any of the authors (e.g. scientific mentor, recent student).
- You work at the same institute as any of the authors.
- You hope/expect to benefit (e.g. favour or employment) as a result of your submission.
- You are an Editor for the journal in which the article is published.
Examples of 'Financial Competing Interests'
- You expect to receive, or in the past 4 years have received, any of the following from any commercial organisation that may gain financially from your submission: a salary, fees, funding, reimbursements.
- You expect to receive, or in the past 4 years have received, shared grant support or other funding with any of the authors.
- You hold, or are currently applying for, any patents or significant stocks/shares relating to the subject matter of the paper you are commenting on.
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