This statistic shows the percentage of U.S. physicians who were frustrated by the lack of population compliance with COVID-19 distancing and mask-wearing protocols, by physician gender, as of August 2020. A higher proportion of female physicians reported frustration with COVID-19 regulation non-compliance.

The Canada Border Services Agency (CBSA) and PHAC have put in place enhanced health and safety measures to help prevent the spread of COVID-19 while continuing to support the movement of essential workers and goods across the border.

Only 14 percent of the respondents in Romania were convinced that the majority of people in their neighborhood meet the requirements set by the authorities during the coronavirus pandemic (COVID-19). In contrast, 24 percent were convinced that people in their region did not comply with the measures imposed in 2020.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

In the ongoing coronavirus disease 2019 (COVID-19) pandemic, media reports have caused anxiety and distress in many. In some individuals, feeling distressed by information may lead to avoidance of information, which has been shown to undermine compliance with preventive health behaviors in many health domains (e.g., cancer screenings). We set out to examine whether feeling distressed by information predicts higher avoidance of information about COVID-19 (avoidance hypothesis) and whether this, in turn, predicts worse compliance with measures intended to prevent the spread of COVID-19 (compliance hypothesis). Thus, we conducted an online survey with a convenience sample (N = 1059, 79.4% female) and assessed distress by information, information avoidance, and compliance with preventive measures. Furthermore, we inquired about participants’ information seeking behavior and media usage, their trust in information sources, and level of eHealth literacy, as well as generalized anxiety. We conducted multiple linear regression analyses to predict distress by information, information avoidance, and compliance with preventive measures. Overall, distress by information was associated with better compliance. However, distress was also linked with an increased tendency to avoid information (avoidance hypothesis), and this reduced compliance with preventive measures (compliance hypothesis). Thus, distress may generally induce adaptive behavior in support of crisis management, unless individuals respond to it by avoiding information. These findings provide insights into the consequences of distress by information and avoidance of information during a global health crisis. These results underscore that avoiding information is a maladaptive response to distress by information, which may ultimately interfere with effective crisis management. Consequently, we emphasize the need to develop measures to counteract information avoidance.

Due to the COVID-19 pandemic, enhanced border measures authorized by the Quarantine Act were introduced. These measures ensure appropriate actions are taken to reduce the spread of the virus. To verify and improve compliance with the Emergency Orders under the Quarantine Act, the Public Health Agency of Canada (PHAC) launched the COVID-19 Quarantine Compliance Call Campaign.

This is a list of locations of which the following conditions apply:ACTIVITY TYPE ID 4 SURVEY – Surveillance was conducted on the business and no violations were found. Reviews conducted during routine inspections of permitted establishments from 1/21/21 on.LMPHW Narrative: Louisville Metro Public Health and Wellness (LMPHW) investigates and responds to reports of alleged violations related to COVID-19. LMPHW has provided an open dataset of businesses that were observed to not be following the covid requirements as prescribed by the Governor’s Office. The data does not distinguish between the type of enforcement action taken with the exception of the closure of a facility for operating when they were to be closed. The data shows that an order or citation was issued with or without a fine assessed. A minimum of one violation or multiple violations were observed on this day. Violations include but are not limited to failure to wear a face covering, lack of social distancing, failure to properly isolate or quarantine personnel, failure to conduct health checks, and other violations of the Governor’s Orders. Closure orders documented in the data portal where issued by either LMPHW, Shively Police or the Kentucky Labor Cabinet. Detail the Enforcement Process: The Environmental Division receives complaints of non-compliance on local businesses. Complaints are received from several sources including: Metro Call, Louisville Metro Public Health and Wellness’ Environmental call line, Facebook, email, and other sources. Complaints are investigated by inspectors in addition to surveillance of businesses to ensure compliance. Violations observed result in both compliance guidance being given to the business along with an enforcement notice which consists of either a Face Covering Citation and/or a Public Health Notice and Order depending on the type of violation. Citations result in fines being assessed. Violations are to be addressed immediately.Community members can report a complaint via Metro Call by calling 574-5000. For COVID 19 Guidance please visit Louisville Metro’s Covid Resource Center at https://louisvilleky.gov/government/louisville-covid-19-resource-center or calling the Covid Helpline at (502)912-8598.ACTIVITY TYPE ID 12 indicates an Enforcement Action has been taken against the establishment which include Notice to Correct, Citation which include financial penalties and/or Cease Operation. LMPHW Narrative Example: Louisville Metro Public Health and Wellness (LMPHW) investigates and responds to reports of alleged violations related to COVID-19. They also conduct surveillance of businesses to determine compliance. LMPHW has provided an open dataset of businesses that were observed to be following the covid requirements as prescribed by the Governor’s Office. ACTIVITY TYPE ID 4 SURVEY – Surveillance was conducted on the business and no violations were found. ACTIVITY TYPE ID 7 FIELD – A complaint was investigated on the business and no violations were found.ACTIVITY TYPE ID 12 Enforcement Action – Action has been taken against the establishment which could include Notice to Correct, Citation which include financial penalties and/or Cease Operation. ACTIVITY TYPE ID 12 Enforcement Action – Action Code Z – The establishment has been issued an order to cease operation.Data Set Explanation:Activity Type ID 4 Survey has two separate files: COVID_4_Surveillance_Open_Data – Surveillance conducted prior to 1/21/2021 in which were conducted as part of random survey of businessesCOVID_4_Compliance_Reviews_Open_Data – Reviews conducted during routine inspections of permitted establishments from 1/21/21 on. Data Dictionary: REQ ID-ID of RequestRequest Date-Date of Requestperson premiseaddress1zipActivity Date-Date Activity OccurredACTIVITY TYPE IDActivity Type Desc-Description of ActivityContact:Gerald Kaforskigerald.kaforski@louisvilleky.gov

Sociodemographic data of survey respondents.

This dataset includes survey responses collected between January and April 2021 regarding awareness, attitudes, and compliance with COVID-19 measures among Vermont residents. Data were collected using Qualtrics online survey tool.

The data was collected from 467 respondent using an online survey. The survey was conducted from March 31 to April 3, 2020. The dataset includes five major groups of information: (1) socio-economic characteristics of the respondents; (2) the respondents’ self-report on the government risk communications via various information and communication channels; (3) the respondents’ understanding of COVID-19; (4) the respondents’ perception on risks from COVID-19; and (5) the respondents’ compliance with the public health safety measures during the pandemic.

Nearly one in two Poles stated that they had followed the rules related to social distance connected with the COVID-19 pandemic in 2020 somewhat closely. However, for 15 percent of the society, keeping the social distance rules was not something they followed. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

During crises like the COVID-19 pandemic, it was necessary for political leaders to influence citizens to comply with public health measures and restrictions. These health measures (e.g., physical distancing, staying at home) had substantial negative effects on individuals lives and thus were sometimes met with defensive, non-cooperative responses. To influence citizens’ compliance with public health guidance and nationally imposed restrictions, political leaders needed to effectively motivate them through their public communications. We argue that whilst negative emotions may have discouraged citizens from deviating from public health restrictions, other factors such as citizens’ trust in political leaders played a role as well. We investigated whether the perception of the interpersonal emotion regulation (IER) strategies used by government leaders in ministerial briefings impacted citizens’ compliance intentions via either negative affect or perceived trustworthiness. Across three studies based in Western Europe (Studies 1 & 2 survey, Study 3 experimental), we consistently found that a leader’s affect-improving IER strategies increased compliance intentions via perceived trustworthiness but not via negative affect. Affect-worsening IER strategies demonstrated either no effect or an indirect worsening effect on the compliance intentions of citizens. Our findings highlight the importance of IER strategies in ministerial briefings and perceived trustworthiness of political leaders in motivating citizens to comply with public health restrictions during a pandemic.

As global communities responded to COVID-19, we heard from public health officials that the same type of aggregated, anonymized insights we use in products such as Google Maps would be helpful as they made critical decisions to combat COVID-19. These Community Mobility Reports aimed to provide insights into what changed in response to policies aimed at combating COVID-19. The reports charted movement trends over time by geography, across different categories of places such as retail and recreation, groceries and pharmacies, parks, transit stations, workplaces, and residential.

Cleaned data. Available as a dta (Stata) file.

Please cite the following paper when using this dataset: N. Thakur and C.Y. Han, “An Exploratory Study of Tweets about the SARS-CoV-2 Omicron Variant: Insights from Sentiment Analysis, Language Interpretation, Source Tracking, Type Classification, and Embedded URL Detection,” Journal of COVID, 2022, Volume 5, Issue 3, pp. 1026-1049 Abstract This dataset is one of the salient contributions of the above-mentioned paper. It presents a total of 522,886 Tweet IDs of the same number of Tweets about the SARS-CoV-2 Omicron Variant posted on Twitter since the first detected case of this variant on November 24, 2021. The dataset is compliant with the privacy policy, developer agreement, and guidelines for content redistribution of Twitter, as well as with the FAIR principles (Findability, Accessibility, Interoperability, and Reusability) principles for scientific data management. Data Description The Tweet IDs are presented in 7 different .txt files based on the timelines of the associated tweets. The following provides the details of these dataset files. The data collection followed a keyword-based approach and tweets comprising the "omicron" keyword were filtered, collected, and added to this dataset. Filename: TweetIDs_November.txt (No. of Tweet IDs: 16471, Date Range of the Tweet IDs: November 24, 2021 to November 30, 2021) Filename: TweetIDs_December.txt (No. of Tweet IDs: 99288, Date Range of the Tweet IDs: December 1, 2021 to December 31, 2021) Filename: TweetIDs_January.txt (No. of Tweet IDs: 92860, Date Range of the Tweet IDs: January 1, 2022 to January 31, 2022) Filename: TweetIDs_February.txt (No. of Tweet IDs: 89080, Date Range of the Tweet IDs: February 1, 2022 to February 28, 2022) Filename: TweetIDs_March.txt (No. of Tweet IDs: 97844, Date Range of the Tweet IDs: March 1, 2022 to March 31, 2022) Filename: TweetIDs_April.txt (No. of Tweet IDs: 91587, Date Range of the Tweet IDs: April 1, 2022 to April 20, 2022) Filename: TweetIDs_May.txt (No. of Tweet IDs: 35756, Date Range of the Tweet IDs: May 1, 2022 to May 12, 2022) Here, the last date for May is May 12 as it was the most recent date at the time of data collection. The dataset would be updated soon to incorporate more recent tweets. The dataset contains only Tweet IDs in compliance with the terms and conditions mentioned in the privacy policy, developer agreement, and guidelines for content redistribution of Twitter. The Tweet IDs need to be hydrated to be used. The Hydrator application (link to download the application: https://github.com/DocNow/hydrator/releases and link to a step-by-step tutorial: https://towardsdatascience.com/learn-how-to-easily-hydrate-tweets-a0f393ed340e#:~:text=Hydrating%20Tweets) or any similar application may be used for hydrating this dataset.

No description was included in this Dataset collected from the OSF

As of April 2020, almost eight households in Morocco out of 10 entirely respected coronavirus (COVID-19) confinement rules. This corresponded to 78.6 percent of the respondent households (2,350), out of which the rural population was the majority. On the other hand, less than one percent of the households did not respect the confinement restrictions in their entirety. Overall in Morocco, it was mainly the heads of households who stepped out from home during the COVID-19 lockdown.