The COVID-19 pandemic was a substantial stressor, especially for pregnant individuals.

• This Dataset aimed to understand the impact of COVID-19-related stresses on pregnant individuals and their infants and collected survey-based data across Canada as part of the Pregnancy during the COVID-19 Pandemic (PdP) project.

• Here are some information about the data:

• Maternal_Age: Maternal age (years) at intake

• Household_Income: What is the total household income, before taxes and deductions, of all the household members from all sources in 2019

• Maternal_Education: Maternal education 1- Less than high school 2- diploma 3- High school diploma 4- College/trade school 5- Undergraduate degree 6- Master's degree 7- Doctoral Degree

• EPDS: Edinburgh Postnatal Depression Scale (you can find the survey on the internet)

• PROMIS_Anxiety: Score from 7 to 35 with higher scores indicating greater severity of anxiety.

• GAbirth: Gestational age at birth (in weeks)

• Delivery_Date: Delivery Date (Dates converted to month/year of birth)

• Birth_Length: Birth length in cm

• Birth_Weight: Birth weight in grams

• Delivery_Mode: Vaginally or Caesarean-section (c-section)

• NICU_stay: Was your infant admitted to the NICU?

• Language: Survey language

• Threaten_Life: How much do (did) you think your life is (was) in danger during the COVID-19 pandemic? (0-100)

• Threaten_Baby_Danger: How much do (did) you think your unborn baby's life is (was) in danger at any time during the COVID-19 pandemic? (0-100)

• Threaten_Baby_Harm: How much are you worried that exposure to the COVID-19 virus will harm your unborn baby? (0-100)

I hope you find it useful

Overview

The Associated Press is sharing data from the COVID Impact Survey, which provides statistics about physical health, mental health, economic security and social dynamics related to the coronavirus pandemic in the United States.

Conducted by NORC at the University of Chicago for the Data Foundation, the probability-based survey provides estimates for the United States as a whole, as well as in 10 states (California, Colorado, Florida, Louisiana, Minnesota, Missouri, Montana, New York, Oregon and Texas) and eight metropolitan areas (Atlanta, Baltimore, Birmingham, Chicago, Cleveland, Columbus, Phoenix and Pittsburgh).

The survey is designed to allow for an ongoing gauge of public perception, health and economic status to see what is shifting during the pandemic. When multiple sets of data are available, it will allow for the tracking of how issues ranging from COVID-19 symptoms to economic status change over time.

The survey is focused on three core areas of research:

• Physical Health: Symptoms related to COVID-19, relevant existing conditions and health insurance coverage.
• Economic and Financial Health: Employment, food security, and government cash assistance.
• Social and Mental Health: Communication with friends and family, anxiety and volunteerism. (Questions based on those used on the U.S. Census Bureau’s Current Population Survey.) ## Using this Data - IMPORTANT This is survey data and must be properly weighted during analysis: DO NOT REPORT THIS DATA AS RAW OR AGGREGATE NUMBERS!!

Instead, use our queries linked below or statistical software such as R or SPSS to weight the data.

Queries

If you'd like to create a table to see how people nationally or in your state or city feel about a topic in the survey, use the survey questionnaire and codebook to match a question (the variable label) to a variable name. For instance, "How often have you felt lonely in the past 7 days?" is variable "soc5c".

Nationally: Go to this query and enter soc5c as the variable. Hit the blue Run Query button in the upper right hand corner.

Local or State: To find figures for that response in a specific state, go to this query and type in a state name and soc5c as the variable, and then hit the blue Run Query button in the upper right hand corner.

The resulting sentence you could write out of these queries is: "People in some states are less likely to report loneliness than others. For example, 66% of Louisianans report feeling lonely on none of the last seven days, compared with 52% of Californians. Nationally, 60% of people said they hadn't felt lonely."

Margin of Error

The margin of error for the national and regional surveys is found in the attached methods statement. You will need the margin of error to determine if the comparisons are statistically significant. If the difference is:

• At least twice the margin of error, you can report there is a clear difference.
• At least as large as the margin of error, you can report there is a slight or apparent difference.
• Less than or equal to the margin of error, you can report that the respondents are divided or there is no difference. ## A Note on Timing Survey results will generally be posted under embargo on Tuesday evenings. The data is available for release at 1 p.m. ET Thursdays.

About the Data

The survey data will be provided under embargo in both comma-delimited and statistical formats.

Each set of survey data will be numbered and have the date the embargo lifts in front of it in the format of: 01_April_30_covid_impact_survey. The survey has been organized by the Data Foundation, a non-profit non-partisan think tank, and is sponsored by the Federal Reserve Bank of Minneapolis and the Packard Foundation. It is conducted by NORC at the University of Chicago, a non-partisan research organization. (NORC is not an abbreviation, it part of the organization's formal name.)

Data for the national estimates are collected using the AmeriSpeak Panel, NORC’s probability-based panel designed to be representative of the U.S. household population. Interviews are conducted with adults age 18 and over representing the 50 states and the District of Columbia. Panel members are randomly drawn from AmeriSpeak with a target of achieving 2,000 interviews in each survey. Invited panel members may complete the survey online or by telephone with an NORC telephone interviewer.

Once all the study data have been made final, an iterative raking process is used to adjust for any survey nonresponse as well as any noncoverage or under and oversampling resulting from the study specific sample design. Raking variables include age, gender, census division, race/ethnicity, education, and county groupings based on county level counts of the number of COVID-19 deaths. Demographic weighting variables were obtained from the 2020 Current Population Survey. The count of COVID-19 deaths by county was obtained from USA Facts. The weighted data reflect the U.S. population of adults age 18 and over.

Data for the regional estimates are collected using a multi-mode address-based (ABS) approach that allows residents of each area to complete the interview via web or with an NORC telephone interviewer. All sampled households are mailed a postcard inviting them to complete the survey either online using a unique PIN or via telephone by calling a toll-free number. Interviews are conducted with adults age 18 and over with a target of achieving 400 interviews in each region in each survey.Additional details on the survey methodology and the survey questionnaire are attached below or can be found at https://www.covid-impact.org.

Attribution

Results should be credited to the COVID Impact Survey, conducted by NORC at the University of Chicago for the Data Foundation.

AP Data Distributions

​To learn more about AP's data journalism capabilities for publishers, corporations and financial institutions, go here or email kromano@ap.org.

From June 24 to June 30, 2020, around 52.1 percent of Hispanic adults aged 18 years and older in the U.S. reported having one or more adverse mental or behavioral health symptoms during the COVID-19 pandemic. This statistic illustrates the percentage of U.S. adults who reported adverse mental health symptoms, increased substance use, and suicidal ideation during COVID-19 pandemic from June 24 to 30, 2020, by race.

The share of respondents who reported their mental health in the lowest range had doubled, from 6.8 percent to 14.4 percent, since the COVID-19 outbreak. This statistic shows the percentage of workers who reported either perfectly healthy or nonfunctional mental health status in the year leading to COVID-19 and in the past week, globally as of April 2020. The survey was conducted among employees in select countries: Australia, France, Germany, New Zealand, Singapore, the United Kingdom and the United States.

The attached .csv file contains data obtained from an online survey available between to participants between November 2020 and January 2021. The principle outcome variable is loneliness and the principle exposure is chronotype.For more information please contact ray.norbury@brunel.ac.uk

U.S. Pandemic Mental Health Care

Impact on Households in Previous 4 Weeks

By US Open Data Portal, data.gov [source]

About this dataset

This U.S. Household Pandemic Impacts dataset assesses the mental health care that households in America have been receiving over the past four weeks during the Covid-19 pandemic. Produced by a collaboration between the U.S. Census Bureau, and five other federal agencies, this survey was designed to measure both social and economic impacts of Covid-19 on American households, such as employment status, consumer spending trends, food security levels and housing disruptions among other important factors. The data collected was based on an internet questionnaire which was conducted through emails and text messages sent to randomly selected housing units from across America linked with email addresses or cell phone numbers from the Census Bureau Master Address File Data; all estimates comply with NCHS Data Presentation Standards for Proportions. Be sure to check out more about how U.S Government Works for further details!

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How to use the dataset

This dataset can be useful to examine the impact of the Covid-19 pandemic on access to and utilization of mental health care by U.S. households in the last 4 weeks.

By studying this dataset, you can gain insight into how people’s mental health has been affected by the pandemic and identify trends based on population subgroups, states, phases of the survey and more.

Instructions for Use: - To get started, open up ‘csv-1’ found in this dataset. This file contains information on access to and utilization of mental health care by U.S households in the last 4 weeks, broken down into 14 different columns (e.g., Indicator, Group, State).
- Familiarize yourself with each column label (e.g., Time Period Start Date), data type (e

Research Ideas

• Analyzing the impact of pandemic-induced stress on different demographic groups, such as age and race/ethnicity.
• Comparing the mental health care services received in different states over time.
• Investigating the correlation between socio-economic status and access to mental health care services during Covid-19 pandemic

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

Columns

File: csv-1.csv | Column name | Description | |:---------------------------|:-------------------------------------------------------------------| | Indicator | The type of indicator being measured. (String) | | Group | The group (by age, gender or race) being measured. (String) | | State | The state where the data was collected. (String) | | Subgroup | A narrower level categorization within Group. (String) | | Phase | Phase number reflective of survey iteration. (Integer) | | Time Period | A label indicating duration captured by survey period. (String) | | Time Period Label | A label indicating duration captured by survey period. (String) | | Time Period Start Date | Beginning date for surveyed period. (DateFormat ‘YYYY-MM-DD’) | | Time Period End Date | End date for surveyed period. (DateFormat ‘YYYY-MM-DD’) | | Value | The value of the indicator being measured. (Float) | | LowCI | The lower confidence interval of the value. (Float) | | HighCI | The higher confidence interval of the value. (Float) | | Quartile Range | The quartile range of the value. (String) | | Suppression Flag | A f...

In May 2020, around 23.3 percent of college students in the United States who sought mental health care, stated they felt that their access to mental health care became much more difficult due to the COVID-19 pandemic. This statistic illustrates the percentage of college students in the United States whose mental health care access was affected by COVID-19 as of May 2020.

This table presents a series of indicators relating to the COVID-19 pandemic, including relating to perceptions of Canadians' mental health, precautions they've taken, and willingness to receive vaccine. Estimates are based on preliminary monthly data from the Canadian Community Health Survey, and are provided for the Canadian population aged 12 and older excluding the territories, by gender, age and region of residence.

Percentage of individuals whose mental health affected by the COVID-19 pandemic .hidden { display: none }

BackgroundDuring the COVID-19 pandemic, many healthcare workers faced extreme working conditions and were at higher risk of infection with the coronavirus. These circumstances may have led to mental health problems, such as anxiety, among healthcare workers. Most studies that examined anxiety among healthcare workers during the COVID-19 pandemic were cross-sectional and focused on the first months of the pandemic only. Therefore, this study aimed to investigate the longitudinal association between working in healthcare and anxiety during a long-term period (i.e., 18 months) of the COVID-19 pandemic.MethodsData were used from online questionnaires of the Lifelines COVID-19 prospective cohort with 22 included time-points (March 2020–November 2021). In total, 2,750 healthcare workers and 9,335 non-healthcare workers were included. Anxiety was assessed with questions from the Mini-International Neuropsychiatric Interview, and an anxiety sum score (0–7) was calculated. Negative binomial generalized estimating equations (GEE), adjusted for demographic, work and health covariates, were used to examine the association between working in healthcare and anxiety.ResultsAnxiety sum scores over time during the COVID-19 pandemic were similar for healthcare workers and non-healthcare workers. No differences between the anxiety sum scores of healthcare workers and non-healthcare workers were found [incidence rate ratio (IRR) = 0.97, 95% CI = 0.91–1.04].ConclusionThis study did not find differences between healthcare workers and non-healthcare in perceived anxiety during the COVID-19 pandemic.

Young adulthood represents a sensitive period for young people's mental health. The lockdown restrictions associated with the COVID-19 pandemic have reduced young people's access to traditional sources of mental health support. This exploratory study aimed to investigate the online resources young people were using to support their mental health during the first lockdown period in Ireland. It made use of an anonymous online survey targeted at young people aged 18–25. Participants were recruited using ads on social media including Facebook, Twitter, Instagram, and SnapChat. A total of 393 respondents completed the survey. Many of the respondents indicated that they were using social media (51.4%, 202/393) and mental health apps (32.6%, 128/393) as sources of support. Fewer were making use of formal online resources such as charities (26%, 102/393) or professional counseling services (13.2%, 52/393). Different social media platforms were used for different purposes; Facebook was used for support groups whilst Instagram was used to engage with influencers who focused on mental health issues. Google search, recommendations from peers and prior knowledge of services played a role in how resources were located. Findings from this survey indicate that digital technologies and online resources have an important role to play in supporting young people's mental health. The COVID-19 pandemic has highlighted these digital tool's potential as well as how they can be improved to better meet young people's needs

About The Study The How Right Now campaign (HRN), which is made possible with support from the CDC Foundation and conducted in partnership with the Centers for Disease Control and Prevention (CDC), aims to help people cope, adapt, and be resilient throughout the COVID-19 pandemic. HRN prioritizes communities that have been disproportionately affected by COVID-19. To inform the development of this campaign and respond to the evolving needs of its audiences during the COVID-19 pandemic, HRN explored Americans’ mental health, emotional well-being and coping needs using an interrupted time series design. As part of the HRN campaign evaluation, survey data were collected in English and Spanish at three time points—May 2020, May 2021, and May 2022. Data is available for the last two waves of this survey here and at https://www.norc.org/Research/Projects/Pages/how-right-now-campaign.aspx. About the Survey These public use files contain data from two of the national probability panel surveys – May 2021 (fielded from May 26-June 1, 2021) and May 2022 (fielded from May 20-May 31, 2022). Both surveys used NORC’s AmeriSpeak® panel (https://amerispeak.norc.org/), a nationally representative probability panel of over 30,000 U.S. households.1 The total sample size for the May 2021 survey was 1,022 and the total sample size for May 2022 was 1,120. Data collection procedures and protocols were reviewed and approved by NORC's Institutional Review Board and were determined exempt under 45 CFR 46 102(1) by CDC.More information is available in the document titled "How Right Now Campaign Mental Health and Coping Data – User Guide."

COVID-19 mental health and social support

Context

Mental Health Services Monthly Statistics

This publication provides the most timely picture available of people using NHS funded secondary mental health, learning disabilities and autism services in England. These are experimental statistics which are undergoing development and evaluation. This information will be of use to people needing access to information quickly for operational decision making and other purposes. More detailed information on the quality and completeness of these statistics is made available later in our Mental Health Bulletin: Annual Report publication series.

• COVID-19 and the production of statistics

Due to the coronavirus illness (COVID-19) disruption, it would seem that this is now starting to affect the quality and coverage of some of our statistics, such as an increase in non-submissions for some datasets. We are also starting to see some different patterns in the submitted data. For example, fewer patients are being referred to hospital and more appointments being carried out via phone/telemedicine/email. Therefore, data should be interpreted with care over the COVID-19 period.

Content

Time period covered Feb 1, 2020 - April 31, 2020

Area covered England

Acknowledgements

reference: Mental Health Services Monthly Statistics

Author: Community and Mental Health Team, NHS Digital
Responsible Statistician: Tom Poupart, Principal Information Analyst
Public Enquiries: Telephone: 0300 303 5678
Email: enquiries@nhsdigital.nhs.uk
Press enquiries should be made to: Media Relations Manager: Telephone: 0300 303 3888

Published by NHS Digital part of the Government Statistical Service Copyright © 2020 Health and Social Care Information Centre. The Health and Social Care Information Centre is a non-departmental body created by statute, also known as NHS Digital.

You may re-use this document/publication (not including logos) free of charge in any format or medium, under the terms of the Open Government Licence v3.0.
To view this licence visit To view this licence visit www.nationalarchives.gov.uk/doc/open-government-licence www.nationalarchives.gov.uk/doc/open-government-licence or write to the Information Policy Team, The National Archives, or write to the Information Policy Team, The National Archives, Kew, Richmond, Surrey, TW9 4DU Kew, Richmond, Surrey, TW9 4DU; or email: psi@nationalarchives.gsi.gov.uk or email: psi@nationalarchives.gsi.gov.uk

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Inspiration

This dataset is to solve the challenge- UNCOVER COVID-19 Challenge, United Network for COVID Data Exploration and Research. This data is scraped in hopes of solving the task - Mental health impact and support services.

Task Details Can we predict changes in demand for mental health services and how can we ensure access? (by region, social/economic/demographic factors, etc). Are there signs of shifts in mental health challenges across demographies, whether improvements or declines, as a result of COVID-19 and the various measures implement to contain the pandemic?

Anxiety and depression are the most prevalent classes of mental illnesses; rates of anxiety and depression have been exacerbated due to the COVID-19 pandemic. Vulnerability to anxiety and depression are affected by risk and resilience factors, such as personality constructs. Recent research (e.g., Lyon et al, 2020; 2021) suggests that, out of all 30 NEO-PI-R personality constructs, variance in anxiety and depression are explained by a small number of personality constructs. However it is unclear which mechanisms mediate the relationship between these personality constructs and anxiety and depression. The purpose of this study was to investigate the mediating effect of emotion regulation strategies on the relationship between personality constructs and COVID-related anxiety and depression. Data were collected from a sample of 210 students at the University of Manchester. Measures included a select number of narrow Big Five personality facets which explain variance in anxiety and depression (facets depression, assertiveness, gregariousness, positive emotion and competence), select COPE Inventory strategies associated with coping with pandemics, and COVID-related anxiety and depression. Measures of COPE strategies and mental health were adapted to refer to coping and mental health in response to COVID pandemic.

Around ** percent of respondents reported feeling more emotionally exhausted since the COVID-19 outbreak. This statistic shows the percentage of workers who reported select mental health symptoms since the COVID-19 outbreak, globally as of April 2020. The survey was conducted among employees in select countries: Australia, France, Germany, New Zealand, Singapore, the United Kingdom and the United States.

ABSTRACT Objective Explore the mental health of parents with young children during the COVID-19 pandemic. Methods We used questionnaires prepared by Google Forms, applying sociodemographic data, and also the EADS-21, IES-R, PSQI-BR and WHOQOL-BREF scales were applied. Statistical analyzes were performed using SPSS 21.0 statistical software for Windows. To describe the sample, descriptive analyzes were used. In all tests, a statistical significance of 0.05 was considered. Of the 327 participants, they were divided into three groups: volunteers without children (Group 1), with children aged 0 to 6 years (Group 2), and with children aged 7 or over (Group 3). All volunteers were residents from South of Brazil. Results The groups with the greatest vulnerability in relation to their mental health are those of participants without children and parents with children aged 0 to 6 years, with higher scores for the depression, anxiety and stress, and post traumatic stress symptoms, compared to parents with children aged from 7 years or more. Conclusion even though the data show that all groups are within the normal range for the scales applied, it is necessary to pay attention to the mental health of the population in greater psychological distress, either from strategies developed by health professionals (SUS) and/or or social assistance (SUAS), either by municipal/state projects in the search for the promotion of mental health.

The dataset was generated during a cross sectional survey conducted in May-June 2020, aimed at exploring the impact of COVID 19 pandemic on mental health of caregivers of people with dementia. Data come from a sample of 571 caregivers of people with dementia living in Italy and Southern Switzerland. We registered socio-demographic characteristics, and information about the relationship with the care recipient, dementia subtype, care inputs from others, and the need of care of the person with dementia. We measured caregiver burden with the Zarit Burden Interview (ZBI), psychological distress with the Depression, Anxiety and Stress Scale (DASS-21), and perceived isolation with the 3-item UCLA Loneliness Scale (UCLALS3).

This is a survey-based dataset. A cross-sectional survey including total 1328 individuals, age range from 18-40 years, was conducted. The preponderance of participants primarily involved university students (1278 individuals) with diverse socio-economic spectrums. The survey was structured to elicit a plethora of information about COVID-19 psychological effects on Bangladeshi University students only. The survey queries are compiled through online platforms, and the contributors have not been compensated for their valuable time. The data was analysed using Google Colab and Microsoft Excel 2019. Microsoft Excel was used to sort, clean, update, and analyse the original dataset. The sorted data was utilized to undertake a more comprehensive analysis, each characteristic and its impact on mental health was extensively investigated.

Three distinct models were created to anticipate university students’ CAS (COVID Anxiety Scale) and HADS (Hospital Anxiety and Depression Scale) results.

Question Segment: Coronavirus Anxiety Scale (CAS) has a cumulative of 5 questionnaires, scale set to (0-8) Negative and (9-20) positive. On a positive scale, individuals with a cumulative summation of cas_scale_sum> 8 are classified as having COVID Anxiety. The Hospital Anxiety and Depression Scale (HADS) consists of 14 questions ranging in difficulty from (0-3). The rating system was portioned into three categories: normal (0–7), borderline abnormal (8–10), and abnormal (11-21). Prior to completing the survey, participants were instructed on the HADS questionnaire.