scholarly journals A guilt-free strategy increases self-reported non-compliance with COVID-19 preventive measures: Experimental evidence from 12 countries

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0249914
Author(s):  
Jean-François Daoust ◽  
Éric Bélanger ◽  
Ruth Dassonneville ◽  
Erick Lachapelle ◽  
Richard Nadeau ◽  
...  
Keyword(s):  
Public Health ◽  
Experimental Evidence ◽  
Survey Research ◽  
Survey Data ◽  
Response Bias ◽  
Treatment Effect ◽  
Preventive Measures ◽  
Percentage Points ◽  
Potential Source

Studies of citizens’ compliance with COVID-19 preventive measures routinely rely on survey data. While such data are essential, public health restrictions provide clear signals of what is socially desirable in this context, creating a potential source of response bias in self-reported measures of compliance. In this research, we examine whether the results of a guilt-free strategy recently proposed to lessen this constraint are generalizable across twelve countries, and whether the treatment effect varies across subgroups. Our findings show that the guilt-free strategy is a useful tool in every country included, increasing respondents’ proclivity to report non-compliance by 9 to 16 percentage points. This effect holds for different subgroups based on gender, age and education. We conclude that the inclusion of this strategy should be the new standard for survey research that aims to provide crucial data on the current pandemic.

scholarly journals Face-Saving Strategies Increase Self-Reported Non-Compliance with COVID-19 Preventive Measures: Experimental Evidence from 12 Countries

2020 ◽  
Author(s):  
Jean-François Daoust ◽  
Éric Bélanger ◽  
Ruth Dassonneville ◽  
Erick Lachapelle ◽  
Richard Nadeau ◽  
...  
Keyword(s):  
Public Health ◽  
Experimental Evidence ◽  
Survey Research ◽  
Response Bias ◽  
Treatment Effect ◽  
Preventive Measures ◽  
Percentage Points ◽  
Potential Source ◽  
The Face ◽  
Face Saving

Studies of citizens’ compliance with COVID-19 preventive measures routinely rely on survey data. While essential, public health restrictions provide clear signals of what is socially desirable in this context, creating a potential source of response bias in self-reported measures of compliance. In this research, we examine whether the results of a face-saving-strategy that was recently proposed by Daoust et al. (2020) to loosen this constraint are generalizable across twelve countries, and whether the treatment effect varies across subgroups. Our findings show that the face-saving strategy is a very useful tool in every country included, increasing respondents’ proclivity to report non-compliance by 9 to 16 percentage points. This effect holds for different subgroups based on gender, age and education. We conclude that the inclusion of this strategy should be the new standard for survey research that aims to provide crucial data on the current pandemic.

scholarly journals Face Masks, Public Policies and Slowing the Spread of COVID-19: Evidence from Canada

2020 ◽  
Author(s):  
Alexander Karaivanov ◽  
Shih En Lu ◽  
Hitoshi Shigeoka ◽  
Cong Chen ◽  
Stephanie Pamplona
Keyword(s):  
Public Health ◽  
Survey Data ◽  
Face Mask ◽  
Location Data ◽  
Percentage Points ◽  
Level Data ◽  
Policy Simulations ◽  
The Impact ◽  
Province Level ◽  
Pharmaceutical Interventions

Abstract We estimate the impact of indoor face mask mandates and other non-pharmaceutical interventions (NPI) on COVID-19 case growth in Canada. Mask mandate introduction was staggered over two months in the 34 public health regions in Ontario, Canada. Using this variation, we find that mask mandates are associated with a 25 percent or larger weekly reduction in new COVID-19 cases in July and August, relative to the trend in absence of mandate. Province-level data provide corroborating evidence. We control for factors such as mobility (using Google geo-location data) and past cases. Our analysis of additional survey data shows that mask mandates led to an increase of about 30 percentage points in self-reported mask wearing in public. Counterfactual policy simulations suggest that mandating indoor masks nationwide in early July could have reduced new COVID-19 cases in Canada by 25 to 40 percent in mid-August (700 to 1,100 fewer cases per week).

Public Awareness of Preventive Measures against COVID-19: A Google Trends Analysis (Preprint)

2020 ◽  
Author(s):  
Alex Mok ◽  
Oliver Oi Yat Mui ◽  
Kwan Pui Tang ◽  
Chi-Fai NG ◽  
Sunny Hei Wong ◽  
...  
Keyword(s):  
Public Health ◽  
Temporal Trend ◽  
Preventive Measures ◽  
Public Awareness ◽  
Google Trends ◽  
Online Searching ◽  
Effective Measure ◽  
Heat Maps ◽  
Hand Sanitizer ◽  
Incidence Data

BACKGROUND The 2019 coronavirus pandemic (COVID-19) has led to increase in global awareness of related public health preventive measures. The public awareness can be reflected by online searching trends of major search engines, namely Google Trends. OBJECTIVE This study aims to interpret online searches of COVID-19 related public health preventive measures and to identify possible correlations between early search trends and progression of the pandemic. METHODS Search data from five queries “Mask”, “Hand Washing”, “Social Distancing”, “Hand Sanitizer”, and “Disinfectant” were extracted from Google Trends (GT) in the form of Relative Search Volumes (RSV). Global incidence data of COVID-19 was obtained from January 1st to June 30th 2020. Subsequently, the data were analyzed and illustrated in forms of a global temporal RSV trend diagram, a geographical RSV distribution chart, scatter graphs comparing regional RSV with average daily cases; and heat-maps comparing temporal trend of RSV with average daily cases. RESULTS Global temporal trend revealed multiple surges in RSV, which were temporally associated with certain COVID news events. Geographical distribution showed differences of query interests among regions. Although scatter graphs failed to illustrate strong correlations between regional RSV and average daily cases, the heat-maps were able to demonstrate patterns of early RSV peaks in countries with lower average daily cases, for queries “Mask”, “Hand Sanitizer”, and “Disinfectant”, upon incorporating with the temporal element into analysis. CONCLUSIONS Early public awareness of multiple preventive measures was observed in countries with lower daily average cases. Public health authorities may look into early public awareness as an effective measure for future disease control.

COVID-19, Security Threats and Public Opinions

2020 ◽  
Vol 26 (3) ◽  
Author(s):  
Vincenzo Bove ◽  
Riccardo Di Leo
Keyword(s):  
Public Health ◽  
Survey Data ◽  
Human Agency ◽  
Public Health Emergency ◽  
Terrorist Attacks ◽  
Critical Event ◽  
Political Leader ◽  
Security Threats ◽  
Public Opinions ◽  
Terrorist Violence

AbstractThroughout the coronavirus outbreak, politicians and commentators have often adopted a war-like rhetoric, invoking a language more often associated to terrorist violence, rather than epidemics. Although COVID-19 represents primarily a public health emergency, not inflicted by human agency, there are similarities in the type and scope of regulations governments have introduced to tackle the virus and to respond to terrorist attacks. In this article, we first ask what we can learn from the extant studies on the attitudinal and emotional consequences of terrorism, relating it to recent research on public opinions in the wake of COVID-19, in order to better understand and predict how the pandemic will influence public sentiments. We then analyze how attitudes can shift when a critical event not only threatens the population of a country as a whole, but directly affects its political leader. Leveraging recently released survey data, we show how the announcement of Angela Merkel’s quarantine significantly dampened the trust in and the credibility of her government, although this effect was short-lived.

scholarly journals Inaccuracies in survey reporting of alcohol consumption

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Conor Gilligan ◽  
Kristen G. Anderson ◽  
Benjamin O. Ladd ◽  
Yun Ming Yong ◽  
Michael David
Keyword(s):  
Public Health ◽  
College Students ◽  
Alcohol Consumption ◽  
Survey Data ◽  
Pacific Northwest ◽  
Accurate Calculation ◽  
Standard Drink ◽  
Web Based ◽  
The Us ◽  
Serving Sizes

Abstract Background Alcohol consumption estimates in public health predominantly rely on self-reported survey data which is likely to underestimate consumption volume. Surveys tend to ask specifically about standard drinks and provide a definition or guide in an effort to gather accurate estimates. This study aimed to investigate whether the inclusion of the term standard drinks with pictorial guide is associated with an adjustment in self-reported alcohol volume. Methods A web-based survey was administered with AUDIT-C questions repeated at the beginning and end of the survey with and without the standard drink term and guide. The order in which respondents were presented with the different question types was randomised. Two cohorts of university/college students in NSW Australia (n = 122) and the US Pacific Northwest (n = 285) completed the survey online. Results Australian students did not adjust their responses to questions with and without the standard drink term and pictorial guide. The US students were more likely to adjust their responses based on the detail of the question asked. Those US students who drank more frequently and in greater volume were less likely to adjust/apply a conversion to their consumption. Conclusions This study supports previous findings of the inaccuracy of alcohol consumption volume in surveys, but also demonstrates that an assumption of underestimation cannot be applied to all individual reports of consumption. Using additional questions to better understand drink types and serving sizes is a potential approach to enable accurate calculation of underestimation in survey data.

scholarly journals Spread of Epidemic Disease on Edge-Weighted Graphs from a Database: A Case Study of COVID-19

2021 ◽  
Vol 18 (9) ◽  
pp. 4432
Author(s):  
Ronald Manríquez ◽  
Camilo Guerrero-Nancuante ◽  
Felipe Martínez ◽  
Carla Taramasco
Keyword(s):  
Public Health ◽  
Infectious Diseases ◽  
Preventive Measures ◽  
Weighted Graph ◽  
Real Data ◽  
Sir Model ◽  
Weighted Graphs ◽  
Epidemic Disease ◽  
The Real

The understanding of infectious diseases is a priority in the field of public health. This has generated the inclusion of several disciplines and tools that allow for analyzing the dissemination of infectious diseases. The aim of this manuscript is to model the spreading of a disease in a population that is registered in a database. From this database, we obtain an edge-weighted graph. The spreading was modeled with the classic SIR model. The model proposed with edge-weighted graph allows for identifying the most important variables in the dissemination of epidemics. Moreover, a deterministic approximation is provided. With database COVID-19 from a city in Chile, we analyzed our model with relationship variables between people. We obtained a graph with 3866 vertices and 6,841,470 edges. We fitted the curve of the real data and we have done some simulations on the obtained graph. Our model is adjusted to the spread of the disease. The model proposed with edge-weighted graph allows for identifying the most important variables in the dissemination of epidemics, in this case with real data of COVID-19. This valuable information allows us to also include/understand the networks of dissemination of epidemics diseases as well as the implementation of preventive measures of public health. These findings are important in COVID-19’s pandemic context.

scholarly journals The Influence of Social Media use on Practice of Covid-19 Preventive Measures Among Ethiopian Residents: An Online Cross-Sectional Study

2021 ◽  
pp. 1-18
Author(s):  
Abinet Arega Sadore ◽  
Demelash Woldeyohannes Handiso ◽  
Tekle Ejajo Wontamo ◽  
Dejene Ermias Mekango ◽  
Sisay Moges
Keyword(s):  
Public Health ◽  
Social Media ◽  
Risk Perception ◽  
Preventive Measures ◽  
Media Use ◽  
Social Media Use ◽  
Cross Sectional ◽  
Preventive Practice ◽  
Related Information ◽  
Study Participants

Abstract Background: Infection with coronavirus disease (COVID-19) has become a severe public health issue worldwide. A broad amount of information related to the novel coronavirus (COVID-19) pandemic was disseminated by social media in Ethiopia. To date, there is limited evidence on the influence of social media use for covid-19 related information on covid-19 preventive practice. Therefore, this study aimed to assess the influence of social media use on the practice of COVID-19 preventive measures in Ethiopia. Methods: This study employed an anonymous internet-based online cross-sectional survey using Google forms to collects the data from the respondents from 15 May to 17 June 2020 in Ethiopia. Multivariable logistic regression was used to assess the relationship between social media usage as a predictor and COVID-19 preventive practice, after adjusting for socio-demographic and risk perception of COVID-19 variables. The data were analysed using SPSS version 21. Results: A total of 372 respondents have participated in the study. From 372, 208(55.9%) respondents in this study were male. Study participants who had good utilization of social media to get COVID-19 related information were 9.5 times engaged in COVID-19 preventive practices compared to study participants who had poor utilization of social media to get covid-19 related information (AOR= 9.59, 95% CI = 5.70 - 16.13). Also, study participants who had a high-risk perception of COVID-19 were 2.6 times engaged in COVID-19 practices compared to study participants who had a low-risk perception of covid-19 (AOR = 2.63, 95% CI = 1.58 - 4.38). Study participants who were students at the time of this study were four times more likely to show adequate COVID-19 preventive practice score compared to those who had another occupational status (AOR= 4.07, 95% CI= 1.66 - 9.98) Conclusions: Our results show that the usage of social media networks can have a positive effect on the practice of preventive measures and public safety against COVID-19; high-risk perception contributed to preventive activities against COVID-19. Social networking platforms can be used by public health agencies as an important method to raise public health understanding by disseminating concise messages to targeted audiences.

scholarly journals Medication Error in Anaesthesia – A Review

2016 ◽  
Vol 27 (1) ◽  
pp. 31-35
Author(s):  
Montosh Kumar Mondal ◽  
Beauty Rani Roy ◽  
Shibani Banik ◽  
Debabrata Banik
Keyword(s):  
Public Health ◽  
Risk Factors ◽  
Medication Error ◽  
Medication Errors ◽  
Health Problem ◽  
Preventive Measures ◽  
Medical Profession ◽  
Public Health Problem ◽  
Global Public Health ◽  
Global Public Health Problem

Medication error is a major cause of morbidity and mortality in medical profession . There is an increasing recognition that medication errors are causing a substantial global public health problem, as many result in harm to patients and increased costs to health providers.Anaesthesia is now safe and routine, yet anaesthetists are not immune from making medication errors and the consequences of their mistakes may be more serious than those of doctors in other specialties. Steps are being taken to determine the extent of the problem of medication error in anaesthesia. In this review, incidence, types, risk factors and preventive measures of the medication errors are discussed in detail.Journal of Bangladesh Society of Anaesthesiologists 2014; 27(1): 31-35

scholarly journals COVID-19 Information Seeking and Utilization Among Women in Warri Metropolis, Delta State, Nigeria

2021 ◽  
Vol 10 (2) ◽  
pp. 1-16
Author(s):  
Esharenana E. Adomi ◽  
Gloria O. Oyovwe-Tinuoye
Keyword(s):  
Social Media ◽  
Survey Research ◽  
Research Design ◽  
Information Seeking ◽  
Preventive Measures ◽  
Mobile Network ◽  
Major Barrier ◽  
Available Information ◽  
Descriptive Survey ◽  
Mobile Network Operators

The study is intended to explore COVID-19 information seeking and utilization among women in Warri Metropolis, Delta State, Nigeria. Descriptive survey research design was adopted using a self-constructed questionnaire to collect data. Data were analyzed using simple percentages. Findings revealed that a majority of the women need information on COVID-19 preventive measures, followed by causes of the pandemic; Internet is the source of COVID-19 information used by the highest number of respondents, followed by television and social media; a majority of them consider the authority of the source of the information on coronavirus followed by usefulness of the information; a majority access COVID-19 information to enable them identify symptoms of the disease followed by protection against COVID-19 infection while concern for reliability of much of the available information on the pandemic was a major barrier to their utilization of COVID-19 information. It is recommended that effort should be made by government to get mobile network operators to reduce network tariff.

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