The RECOVER Consortium developed a web-based interactive educational website and application to effectively disseminate oil spill science and research to students – ranging from elementary to collegiate levels – and the general public. The RECOVER Virtual Lab application allows users to conduct virtual experiments on the impacts of oil on fish physiology, similar to those of RECOVER researchers. By using the Virtual Lab, students, teachers and the general public are able to understand the real-world applications of data, experimental designs, and results generated by RECOVER researchers. Both Virtual Lab lessons utilize data produced by GoMRI scientists which are made available to students and the public to expand the reach of the oil spill science to individuals that may not otherwise have access to oil spill science and data. At the end of each lesson, students complete a demographic questionnaire and answer content-based questions through quizzes developed in Google Forms. From this data, the Virtual Lab has been used within 30 different states and 2 international countries, with a total usership of over 1,000 students.

Data presented in this paper related to Malaysian university reaerch-based students’ perceptions that affect their psychological health during the COVID-19 pandemic. A sample of 384 was drawn from approximately 193,570 population both Ph.D. and research-based Master students who are currently studying in Malaysia during the COVID-19 pandemic. A simple random sampling technique was used to collect the data. Data were collected through an online survey questionnaire. The surveys were administered to the Ph.D. and research-based master’s students between June 15 and June 29, 2020, with the support of Internet platforms (Institutional Email, Google Form, WhatsApp), and resulted in valid 103 responses. The response rate is 26.82%. Demographic information data were collected by using 11 items. Psychological impact data were collected by using the 7-item Generalized Anxiety Disorder Scale (GAD-7), and research progress, academic life and daily life related data were collected by using 3 items.

Being a centre of academic pursuits and intellectual rigour, universities frequently place a high demand on the psychological and emotional well-being of their workers. This study aims to explore the relationship between perceived stress, anxiety, and depression among employees in a university in Nigeria and explore how these stress levels are associated with anxiety and depression. We conducted a cross-sectional study in a foremost private university in Southwestern Nigeria between 28th January 2024 and 11th April 2024. The participants completed a set of self-report questionnaires measuring perceived stress, anxiety and depression symptoms, and demographic information via an electronic survey platform (Google Forms). Data was analyzed using descriptive and inferential statistics. The results showed that both perceived stress (r = 0.517, p = 0.01) and family history of heart attack (p = 0.026) were found to be significantly associated with depression (p = 0.05). The logistic regression analysis revealed that, even after adjusting for hypertension (OR = 10.43, 95% CI = 1.761–61.799), high perceived stress remained significantly associated with both anxiety (OR, 95% confidence interval (CI) = 1.761–61.799; p = .010) and depression (OR, 42.91; 95%CI = 7.557–243.605) compared with those who experienced either moderate or low levels of stress. The study showed that perceived stress is associated with anxiety and depression. Findings are expected to inform policymakers and university administrators, guiding the implementation of effective mental health support systems and stress management interventions within Nigerian universities.

This dataset contains the results of a survey conducted via Google Forms to assess Generation Z’s understanding, environmental awareness, and social action related to waste management during the Eid al-Fitr holiday season. The survey included an infographic guide as a stimulus to evaluate how visual media supports behavioral change and sustainability education among youth.

The dataset, exported from Google Forms in XLSX format, includes respondents’ demographic information, their interpretation of the infographic content, their level of environmental awareness, and their reported or intended waste management practices during the holiday.

This dataset is valuable for researchers in environmental education, youth studies, sustainability communication, and behavioral change research.

Format: XLSX (exported from Google Forms)
Number of Respondents: 6
Language: Indonesian
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Data Collection Method: Online survey using Google Forms
Data Collection Period: 4 April 2025

This study examined the prevalence of sexual predation and institutional knowledge-building in educational institutions in Ibadan Metropolis, Nigeria. It was guided by the hypothesis that socio-demographic factors such as age, gender, income level, and institutional type significantly influence the likelihood of experiencing sexual predation, and that institutional response affects reporting behaviours and knowledge awareness.

A cross-sectional survey design was used. The study area included schools across Ibadan Metropolis selected due to growing concern over sexual misconduct in schools and weak institutional mechanisms for protection and accountability. A total of 415 students participated in the study. Respondents were selected using purposive and convenience sampling to ensure representation sociodemographics. Participants were internet users capable of completing Google Forms, which was used to administer the questionnaire.

The structured questionnaire gathered data on participants’ socio-demographic characteristics, personal or witnessed experiences with sexual predation, reporting behaviours, and perceptions of institutional responses. Questions were designed to capture the frequency, types, perpetrators, and locations of incidents. Likert-scale items were included to assess the perceived adequacy of institutional response and support systems.

Data were analysed using SPSS version 27. Descriptive statistics (frequencies and percentages) were used to summarize demographic characteristics and prevalence rates. Binary logistic regression was employed to determine which socio-demographic factors significantly predicted the likelihood of experiencing sexual predation. Odds ratios with 95% confidence intervals were calculated, and all tests were conducted at a significance level of p < 0.05.

Findings showed that sexual predation is a serious and underreported problem within the study area. Female students were significantly more likely than male students to report experiencing sexual predation. Perpetrators were often older students, teachers, or non-academic staff. Incidents frequently occurred in classrooms, dormitories, offices, and isolated campus areas. Many students chose not to report due to fear, shame, or mistrust of institutional support systems. Perceptions of institutional response were largely negative, with many participants indicating that schools either ignored reports or failed to take action.

The data confirm the research hypothesis and suggest that vulnerability is shaped by both individual and institutional factors. Poor reporting culture and institutional silence allow predation to persist. The findings call for stronger prevention and reporting mechanisms, capacity building among staff, and student empowerment strategies.

This study provides evidence to inform school policies, awareness campaigns, and legislative interventions that protect students and promote safer learning environments in Nigerian schools.

Anonymous online follow-up survey of mystical experience in Freediving. The initial MEQ30 survey was repeated with 15 items, plus several personality tests added, along with demographics and a Freediving Federation features survey hiding the main purpose of the questionnaire. Data from a short 4+4 items test survey is also provided. Excel files contains raw data saved from Google Forms data collected. Headers are questionnaire items. This survey was submitted to Russian speaking freedivers only. Most headers in the big file of this dataset contain both Ru and Eng versions of the survey for ease of data use by the research community.

Purpose: To determine if medical students of different races/ethnicities or genders have different perceptions of bias in the United States (US). Methods: An IRB-approved, anonymous survey was sent to US medical students from November 2022 through February 2024. Students responded to statements regarding perceptions of bias toward them from attendings, patients, and classmates. Chi-square tests, or Fisher’s exact tests, when appropriate, were used to calculate if significant differences exist among genders or races/ethnicities in response to these statements. Results: 370 students responded to this survey. Most respondents were women (n=259, 70%), and nearly half were White (n=164, 44.3%). 8.5% of women agreed that they felt excluded by attendings due to their gender, compared to 2.9% of men (p=0.018). 87.5% and 73.3% of Hispanic and Black students agreed that bias due to race negatively impacted research opportunities compared to 37.2% of White students (p<0.001). 87% and 85.7% of W..., This data was collected through Google Forms, and respondents were asked to log in with their email addresses to make sure that they could only submit their responses once. Data was processed in R studio., , # Experiences of US medical students - a national survey

https://doi.org/10.5061/dryad.cz8w9gjbq

This dataset contains responses to an anonymous, IRB-approved survey sent to medical students across the country. The survey included demographic information and students' responses to various questions regarding their medical school experience.Â

Description of the data and file structure

The data is structured so that each row is an individual response. A researcher could analyze the data to see what demographic factors are related to various survey responses.Â

There are certain questions on the survey that respondents could respond "NA" to if the question did not apply to them. For example, the last question on the survey asks,

...

Context

The United States Census Bureau’s international dataset provides estimates of country populations since 1950 and projections through 2050. Specifically, the dataset includes midyear population figures broken down by age and gender assignment at birth. Additionally, time-series data is provided for attributes including fertility rates, birth rates, death rates, and migration rates.

Querying BigQuery tables

You can use the BigQuery Python client library to query tables in this dataset in Kernels. Note that methods available in Kernels are limited to querying data. Tables are at bigquery-public-data.census_bureau_international.

Sample Query 1

What countries have the longest life expectancy? In this query, 2016 census information is retrieved by joining the mortality_life_expectancy and country_names_area tables for countries larger than 25,000 km2. Without the size constraint, Monaco is the top result with an average life expectancy of over 89 years!

standardSQL

SELECT age.country_name, age.life_expectancy, size.country_area FROM ( SELECT country_name, life_expectancy FROM bigquery-public-data.census_bureau_international.mortality_life_expectancy WHERE year = 2016) age INNER JOIN ( SELECT country_name, country_area FROM bigquery-public-data.census_bureau_international.country_names_area where country_area > 25000) size ON age.country_name = size.country_name ORDER BY 2 DESC /* Limit removed for Data Studio Visualization */ LIMIT 10

Sample Query 2

Which countries have the largest proportion of their population under 25? Over 40% of the world’s population is under 25 and greater than 50% of the world’s population is under 30! This query retrieves the countries with the largest proportion of young people by joining the age-specific population table with the midyear (total) population table.

standardSQL

SELECT age.country_name, SUM(age.population) AS under_25, pop.midyear_population AS total, ROUND((SUM(age.population) / pop.midyear_population) * 100,2) AS pct_under_25 FROM ( SELECT country_name, population, country_code FROM bigquery-public-data.census_bureau_international.midyear_population_agespecific WHERE year =2017 AND age < 25) age INNER JOIN ( SELECT midyear_population, country_code FROM bigquery-public-data.census_bureau_international.midyear_population WHERE year = 2017) pop ON age.country_code = pop.country_code GROUP BY 1, 3 ORDER BY 4 DESC /* Remove limit for visualization*/ LIMIT 10

Sample Query 3

The International Census dataset contains growth information in the form of birth rates, death rates, and migration rates. Net migration is the net number of migrants per 1,000 population, an important component of total population and one that often drives the work of the United Nations Refugee Agency. This query joins the growth rate table with the area table to retrieve 2017 data for countries greater than 500 km2.

SELECT growth.country_name, growth.net_migration, CAST(area.country_area AS INT64) AS country_area FROM ( SELECT country_name, net_migration, country_code FROM bigquery-public-data.census_bureau_international.birth_death_growth_rates WHERE year = 2017) growth INNER JOIN ( SELECT country_area, country_code FROM bigquery-public-data.census_bureau_international.country_names_area

Update frequency

Historic (none)

Dataset source

United States Census Bureau

Terms of use: This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

See the GCP Marketplace listing for more details and sample queries: https://console.cloud.google.com/marketplace/details/united-states-census-bureau/international-census-data

This data set contains data collected from 5 universities in 5 countries about the effectiveness of e-learning during the COVID-19 pandemic, specifically tailored to mechanical and industrial engineering students. A survey was administered in May, 2020 at these universities simultaneously, using Google Forms. The survey had 41 questions, including 24 questions on a 5-point Likert scale. The survey questions gathered data on their program of study, year of study, university of enrolment and mode of accessing their online learning content. The Likert scale questions on the survey gathered data on the effectiveness of digital delivery tools, student preferences for remote learning and the success of the digital delivery tools during the pandemic. All students enrolled in modules taught by the authors of this study were encouraged to fill the survey up. Additionally, remaining students in the departments associated with the authors were also encouraged to fill up the form through emails sent on mailing lists. The survey was also advertised on external websites such as survey circle and facebook. Crucial insights have been obtained after analysing this data set that link the student demographic profile (gender, program of study, year of study, university) to their preferences for remote learning and effectiveness of digital delivery tools. This data set can be used for further comparative studies and was useful to get a snapshot of student preferences and e-learning effectiveness during the COVID-19 pandemic, which required the use of e-learning tools on a wider scale than previously and using new modes such as video conferencing that were set up within a short timeframe of a few days or weeks.

As of February 2025, 5.56 billion individuals worldwide were internet users, which amounted to 67.9 percent of the global population. Of this total, 5.24 billion, or 63.9 percent of the world's population, were social media users. Global internet usage Connecting billions of people worldwide, the internet is a core pillar of the modern information society. Northern Europe ranked first among worldwide regions by the share of the population using the internet in 20254. In The Netherlands, Norway and Saudi Arabia, 99 percent of the population used the internet as of February 2025. North Korea was at the opposite end of the spectrum, with virtually no internet usage penetration among the general population, ranking last worldwide. Eastern Asia was home to the largest number of online users worldwide – over 1.34 billion at the latest count. Southern Asia ranked second, with around 1.2 billion internet users. China, India, and the United States rank ahead of other countries worldwide by the number of internet users. Worldwide internet user demographics As of 2024, the share of female internet users worldwide was 65 percent, five percent less than that of men. Gender disparity in internet usage was bigger in African countries, with around a ten percent difference. Worldwide regions, like the Commonwealth of Independent States and Europe, showed a smaller usage gap between these two genders. As of 2024, global internet usage was higher among individuals between 15 and 24 years old across all regions, with young people in Europe representing the most significant usage penetration, 98 percent. In comparison, the worldwide average for the age group 15–24 years was 79 percent. The income level of the countries was also an essential factor for internet access, as 93 percent of the population of the countries with high income reportedly used the internet, as opposed to only 27 percent of the low-income markets.

Indonesia’s total number of HIV/AIDS cases is still high. Inadequate knowledge about the risk of HIV infection will influence HIV prevention and therapy. This study aimed to map the level of HIV-related knowledge among Indonesians living on six major islands in Indonesia and investigate the relationship between socio-demographic characteristics and HIV/AIDS knowledge. This cross-sectional study used the Bahasa Indonesia version of the HIV Knowledge Questionnaire-18 items (HIV-KQ-18) Instrument. Data collection was done online through the Google form application. A total of 5,364 participants were recruited. The participants from Java had the highest degree of HIV/AIDS knowledge, which was 12.5% higher than participants from Sumatra, Kalimantan, Sulawesi, Papua, and Maluku. Linear regression showed that region, educational level, monthly expenditure, occupation, background in health sciences, and workshop attendance were significantly correlated with HIV knowledge. Participants typically understand that "HIV/AIDS transmission" only happens when sex partners are changed. Additionally, the government still needs improvement in HIV/AIDS education, particularly in the HIV incubation period, HIV transmission from pregnant women to the fetus, and condom use as one method of protection. There are disparities in HIV/AIDS knowledge levels among the major islands of Indonesia. Based on these findings, the government’s health promotion program to increase public awareness of HIV/AIDS must be implemented vigorously. Additionally, in line with our research findings, it is essential to broaden the scope of HIV/AIDS education and promotion materials.

AbstractThe context-specific, complex issue of ‘vaccine hesitancy’ is explicated in terms of delay or refusal of vaccination despite the availability of vaccine services. Although eleven million beneficiaries were administered the COVID-19 vaccine in India from 16th January 2021 till 20th February 2021, however, the turnout seemed dismal in various regions. We report the response (collected between Feb 1, 2021 and Feb 15, 2021) of 358 voluntary respondents who participated in an online questionnaire-based pan-India survey, executed to assess their knowledge and acceptance towards the COVID-19 vaccination program in its first phase. The survey questionnaire consisted of demographic characteristics of the respondents and queries pertaining to knowledge (7 items) and acceptance (3 items). The overall correct rate and the average knowledge score of the participants were 78 % and 5.46 ± 1.4/7 respectively. The acceptance score was 3.50 ± 1.6/5 while 70 % of participants agreed against the 20 % of respondents who neither agreed nor disagreed to take the vaccine. Around 66 % believed that the vaccines, currently being administered in India are safe. Fear about possible side effects (44 %) and inadequacy of comprehensive clinical trial data (29 %), seemed to be the major players in fortifying the vaccine hesitancy among the respondents, exhibiting negative acceptance. Although maximum respondents demonstrated a good level of knowledge (82%) and acceptance (88%), significant differences were observed among some demographic variables. In general, a positive correlation was observed between knowledge and acceptance against a negative correlation, observed in specific provinces. Despite the good acceptance and knowledge, a considerable fraction of the participants (30%) expressed hesitancy. Counselling, mobilization, and feedback from vaccinated individuals about safety should be encouraged. However, due to the limited sample size, we must be cautious when generalizing these findings. Nevertheless, the major elucidations of this study may be utilized in planning vaccination campaigns in further phases. MethodsSurvey plan and Participants The time-frame of this cross-sectional survey was set from February 01, 2021 to February 15, 2021. During this period, the first phase of COVID-19 vaccination was initiated among the healthcare workers and frontline workers. The lockdown was relaxed, although citizens were advised to maintain social distancing, wear masks and wash hands. The nation also witnessed partial reopening of educational institutions in various states. However, it was not feasible as well as advisable to conduct any off-line survey during this period, therefore, we decided to collect the data online using Google form. A one-page poster (Electronic Supplementary Fig. ES1) was prepared and posted through various social media platforms like WhatsApp, Facebook, Twitter, and Telegram, based on the authors’ network. The poster contained an introduction and objectives of the work, besides information about requirements on the part of the participants, nature of voluntary participation, declaration of anonymity and confidentiality, online link, and the invigilators' details. The respondents were Indian citizens, aged 18 years or more, who understood the content of the poster and voluntarily agreed to participate in the study without receiving any compensation or remuneration. An e-certificate was provided to the participants as a token of appreciation (directly delivered via e-mail), therefore, we had requested the submission of the name and e-mail address of each respondent through the Google form. Questionnaires and score We designed a survey questionnaire, based on the current situation. The questionnaire consisted of demographics of the participants, knowledge, and acceptance-attitude towards the current COVID-19 vaccination program in India. Demographic variables included gender, age, state, marital status, education status, occupation, area (urban vs. rural) and the state/union territory of residence (province) (Table 1). A total of 7 questions, pertaining to the assessment of the knowledge about COVID-19 were framed (Table 2). These questions were primarily multiple options based or of true/false nature with an additional ‘I don't know’ choice. A correct answer was awarded 1 point and an incorrect/unknown answer, a 0 point. The total knowledge score ranged from 0 to 7; a cut-off score of 5, ‘good’ knowledge. A total of 3 questions for acceptance (Table 3) were prepared and rated on the 5-points Likert scale ranging from strongly disagree (1), disagree (2), neutral (3), agree (4) and strongly agree (5). Five points were awarded to the responses, marked as 'strongly agree' with scores decreasing to 1 for the responses of 'strongly disagree', as far as the positive-acceptance questions were concerned. For the negative-acceptance questions, a score of 1 was awarded for the response- 'strongly agree', with the score increasing to 5 corresponding to the response, 'strongly disagree'. People who scored >7 were classified as those with an attitude of ‘positive’ acceptance while the participants, scoring

This dataset was created and deposited onto the University of Sheffield Online Research Data repository (ORDA) on 23-Jun-2023 by Dr. Matthew S. Hanchard, Research Associate at the University of Sheffield iHuman Institute. The dataset forms part of three outputs from a project titled ‘Fostering cultures of open qualitative research’ which ran from January 2023 to June 2023:

· Fostering cultures of open qualitative research: Dataset 1 – Survey Responses · Fostering cultures of open qualitative research: Dataset 2 – Interview Transcripts · Fostering cultures of open qualitative research: Dataset 3 – Coding Book

The project was funded with £13,913.85 of Research England monies held internally by the University of Sheffield - as part of their ‘Enhancing Research Cultures’ scheme 2022-2023.

The dataset aligns with ethical approval granted by the University of Sheffield School of Sociological Studies Research Ethics Committee (ref: 051118) on 23-Jan-2021. This includes due concern for participant anonymity and data management.

ORDA has full permission to store this dataset and to make it open access for public re-use on the basis that no commercial gain will be made form reuse. It has been deposited under a CC-BY-NC license. Overall, this dataset comprises:

· 15 x Interview transcripts - in .docx file format which can be opened with Microsoft Word, Google Doc, or an open-source equivalent.

All participants have read and approved their transcripts and have had an opportunity to retract details should they wish to do so.

Participants chose whether to be pseudonymised or named directly. The pseudonym can be used to identify individual participant responses in the qualitative coding held within the ‘Fostering cultures of open qualitative research: Dataset 3 – Coding Book’ files.

For recruitment, 14 x participants we selected based on their responses to the project survey., whilst one participant was recruited based on specific expertise.

· 1 x Participant sheet – in .csv format which may by opened with Microsoft Excel, Google Sheet, or an open-source equivalent.

The provides socio-demographic detail on each participant alongside their main field of research and career stage. It includes a RespondentID field/column which can be used to connect interview participants with their responses to the survey questions in the accompanying ‘Fostering cultures of open qualitative research: Dataset 1 – Survey Responses’ files.

The project was undertaken by two staff:

Co-investigator: Dr. Itzel San Roman Pineda ORCiD ID: 0000-0002-3785-8057 i.sanromanpineda@sheffield.ac.uk Postdoctoral Research Assistant Labelled as ‘Researcher 1’ throughout the dataset

Principal Investigator (corresponding dataset author): Dr. Matthew Hanchard ORCiD ID: 0000-0003-2460-8638 m.s.hanchard@sheffield.ac.uk Research Associate iHuman Institute, Social Research Institutes, Faculty of Social Science Labelled as ‘Researcher 2’ throughout the dataset

The data of this study was collected through a questionnaire designed to measure teachers' ability to integrate technology, pedagogy, and content knowledge (TPCK) in teaching green energy topics. The questionnaire consisted of 25 items of statements based on a 5-point Likert scale, ranging from "Strongly Disagree" to "Strongly Agree". This instrument includes three main components of TPCK, namely: 1. Technological Knowledge (TK): Measuring teachers' ability to understand and use technology to support learning. 2. Technological Pedagogical Knowledge (TPK): Assesses teachers' ability to integrate technology into effective learning strategies. 3. Technological Content Knowledge (TCK): Examines teachers' ability to relate technology to learning materials, especially green energy topics. This questionnaire was distributed online through the Google Forms platform, allowing participation from teachers in various regions. Prior to deployment, the validity and reliability of the instrument were tested using the Rasch analysis approach to ensure the accuracy and consistency of the measurements. The respondents in this study consisted of 225 science teachers in Indonesia who were randomly selected. The data collected includes demographic information such as gender, age, teaching experience, and recent education level. This data was analyzed to assess the validity, reliability, and distribution of teachers' abilities in integrating technology into green energy learning.

The community profiles contain data from 2016 Census and long form program. The 2016 census data is considered to be of good quality and general comparisons can be made with similar data from previous years. Direct comparisons cannot be made between Statistics Canada’s 2016 Long Form data and the 2011 National Household Survey (NHS).The figures shown in the tables and charts have been subjected to a confidentiality procedure known as random rounding to prevent the possibility of associating statistical data with any identifiable individual. Under this method, all figures, including totals and margins, are randomly rounded either up or down to a multiple of "5", and in some cases "10". While providing strong protection against disclosure, this technique does not add significant error to the data. The user should be aware that totals and margins are rounded independently of the cell data so that some differences between these and the sum of rounded cell data may exist. Also, minor differences can be expected in corresponding totals and cell values among various census tabulations.Statistics Canada is committed to protect the privacy of all Canadians and the confidentiality of the data they provide. As part of this commitment, some population counts of geographic areas are adjusted in order to ensure confidentiality.For more information about Kingston's Community & Neighbourhood Profiles, as well as links to exciting new tools, please visit our website: https://www.cityofkingston.ca/explore/neighbourhood-profilesA detailed Glossary of Terms is also available (Adobe PDF format): https://drive.google.com/file/d/1KAbrqmARXjzy1yBcVlVYf2Xz-KidOfXM/view?usp=sharing

This dataset is part of the results of the Project: ‘Design and pilot study of an online course to empower health professionals in the care of older adults with pain in Santa Marta, Colombia’. This research was funded by the International Association of Study of Pain (IASP) 2020 Developing Countries: Initiative to Improve Pain Education Grant, and by the Cooperative University of Colombia (Project code: INV2932) Data: Survey to discover the opinions of health professionals in the Caribbean Region of Colombia about common practices in care, guidance, and support for older adults with pain, as well as about their willingness and interest in participating in online training on this topic. The survey was designed by two psychologists from the research team. The wording of the questions, the order, and format of the presentation, and the contents of the questions were evaluated by the other researchers in the team (i.e., a doctor, three nurses, and another psychologist) who proposed corrections until a consensus was reached. The survey contained closed-ended questions with multiple choices and open-ended questions. It was an anonymous survey, and subjects were guaranteed anonymity at the time of requesting informed consent. The survey consisted of two sections. Section 1 contains an explanation of the study and a request for informed consent. If the person expressed their agreement, they moved on to the next section. Section 2 had questions to obtain socio-demographic and professional information. It is in the archive Formulario (Spanish) The data provided with the name " Data Survey of health professionals on common practices in the care of the elderly with pain" is the original obtained from google forms. It contains all the raw responses received (Spanish), in both formats (excel and csv.).

IntroductionThere is a lack of attention to drive-thru services in the community pharmacy setting, particularly during the COVID-19 period in Malaysia. The main objective of this study was to assess the public awareness, attitudes, and perceptions towards drive-thru community pharmacy services among during COVID-19 in Malaysia.MethodsA cross-sectional study was conducted using a self-administrated, web-based survey (Google form) among the public in Malaysia between May and June 2022. Descriptive statistics were used to summarize the socio-demographic characteristics of the participants. Associations between the socio-demographic characteristics of the participants and the use of drive-thru community pharmacy services were assessed using a chi-square test. Regression analyses were carried out to determine whether the socio-demographic characteristics of the participants were associated with perceptions towards drive-thru community pharmacy services.ResultsA total of 565 (70.6%) of the general public completed the survey instrument. The median age of study participants was 40.0 (IQR = 36.0) and about half of them were males (50.6%, n = 286). Although 18.6% (n = 105) of the participants reported the presence of DTCPS in their cities, only 9.0% (n = 51) reported having used this service. Most of the participants were supportive to establish drive-thru services at community pharmacies in the country. Most of the believed advantages among participants were that DTCPS are helpful during COVID-19 and quarantine time 48.0% (n = 271) by enhancing social distancing and reducing the spread of the COVID-19 virus 48.5% (n = 274). Among sociodemographic factors, non-Malaysian nationality (p

Chi-Square showing an association between perceived stress, socio-demographic variables on anxiety and depression.

Demographic characteristics of the participants (N = 312).

As of April 2024, it was found that men between the ages of 25 and 34 years made up Facebook largest audience, accounting for 18.4 percent of global users. Additionally, Facebook's second largest audience base could be found with men aged 18 to 24 years.

              Facebook connects the world

              Founded in 2004 and going public in 2012, Facebook is one of the biggest internet companies in the world with influence that goes beyond social media. It is widely considered as one of the Big Four tech companies, along with Google, Apple, and Amazon (all together known under the acronym GAFA). Facebook is the most popular social network worldwide and the company also owns three other billion-user properties: mobile messaging apps WhatsApp and Facebook Messenger,
              as well as photo-sharing app Instagram. Facebook usersThe vast majority of Facebook users connect to the social network via mobile devices. This is unsurprising, as Facebook has many users in mobile-first online markets. Currently, India ranks first in terms of Facebook audience size with 378 million users. The United States, Brazil, and Indonesia also all have more than 100 million Facebook users each.