23 datasets found
  1. U

    Data from: County-level factors associated with a mismatch between opioid...

    • datacatalog.hshsl.umaryland.edu
    Updated Jul 17, 2024
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    John G. Rizk; Jannat Saini; Kyungha Kim; Uzma Pathan; Danya M. Qato (2024). County-level factors associated with a mismatch between opioid overdose mortality and availability of opioid treatment facilities [Dataset]. https://datacatalog.hshsl.umaryland.edu/dataset/224
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    Dataset updated
    Jul 17, 2024
    Dataset provided by
    HS/HSL
    Authors
    John G. Rizk; Jannat Saini; Kyungha Kim; Uzma Pathan; Danya M. Qato
    Time period covered
    Jan 1, 2017 - Dec 31, 2021
    Area covered
    United States
    Description

    Characteristics associated with low availability of treatment facilities and high rates of opioid overdose mortality were analyzed using a cross-sectional analysis design that combined county-level data from January 1, 2017, to December 31, 2021. Data for 3,130 counties in 50 states and Washington D.C. from several sources were accessed through PolicyMap, including American Community Survey (ACS), the Centers for Disease Control and Prevention (CDC), the United States Bureau of Labor Statistics (BLS), and the Substance Abuse and Mental Health Services Administration (SAMSHA).

  2. U

    Data from: #Coronavirus on TikTok: user engagement with misinformation as a...

    • datacatalog.hshsl.umaryland.edu
    • datasetcatalog.nlm.nih.gov
    • +4more
    Updated Jul 18, 2024
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    Jonathan D. Baghdadi; K.C. Coffey; Rachael Belcher; James Frisbie; Naeemul Hassan; Danielle Sim; Rena D. Malik (2024). #Coronavirus on TikTok: user engagement with misinformation as a potential threat to public health behavior [Dataset]. http://doi.org/10.5061/dryad.bvq83bkdp
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    Dataset updated
    Jul 18, 2024
    Dataset provided by
    HS/HSL
    Authors
    Jonathan D. Baghdadi; K.C. Coffey; Rachael Belcher; James Frisbie; Naeemul Hassan; Danielle Sim; Rena D. Malik
    Area covered
    United States
    Description

    A sample of TikTok videos associated with the hashtag #coronavirus were downloaded on September 20, 2020. Misinformation was evaluated on a scale (low, medium, high) using a codebook developed by experts in infectious diseases. Multivariable modeling was used to evaluate factors associated with number of views and presence of user comments indicating intention to change behavior. Videos and related metadata were downloaded using a third-party TikTok Scraper using the search term #coronavirus. Videos were reviewed for content and data were entered on a spreadsheet.

  3. Data from: Medical Expenditure Panel Survey

    • datacatalog.hshsl.umaryland.edu
    Updated Oct 25, 2023
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    Agency for Healthcare Research and Quality (2023). Medical Expenditure Panel Survey [Dataset]. https://datacatalog.hshsl.umaryland.edu/dataset/76
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    Dataset updated
    Oct 25, 2023
    Dataset authored and provided by
    Agency for Healthcare Research and Qualityhttp://www.ahrq.gov/
    Time period covered
    Jan 1, 1996 - Present
    Area covered
    United States
    Description

    The Medical Expenditure Panel Survey (MEPS) is a set of large-scale surveys of families and individuals, their medical providers (doctors, hospitals, pharmacies, etc.), and employers across the United States. MEPS collects data on the specific health services that Americans use, how frequently they use them, the cost of these services, and how they are paid for, as well as data on the cost, scope, and breadth of health insurance held by and available to U.S. workers. The two major components of MEPS are the Household Component and the Insurance Component.

  4. World Development Indicators

    • datacatalog1.worldbank.org
    • datacatalog.hshsl.umaryland.edu
    • +1more
    databank, excel +2
    Updated Jan 30, 2025
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    World Bank Group (2025). World Development Indicators [Dataset]. https://datacatalog1.worldbank.org/search/dataset/0037712
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    excel, databank, zip, utf-8Available download formats
    Dataset updated
    Jan 30, 2025
    Dataset provided by
    World Bank Grouphttp://www.worldbank.org/
    License

    https://datacatalog1.worldbank.org/public-licenses?fragment=cchttps://datacatalog1.worldbank.org/public-licenses?fragment=cc

    Description

    The World Development Indicators (WDI) is the primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates.

  5. U

    Data from: Availability of Study Protocols for Randomized Trials Published...

    • datacatalog.hshsl.umaryland.edu
    Updated Mar 27, 2024
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    Peter Doshi; O'Mareen Spence; Kyungwan Hong; Richie Onwuchekwa Uba (2024). Availability of Study Protocols for Randomized Trials Published in High-Impact Medical Journals: A Cross-Sectional Analysis [Dataset]. http://doi.org/10.5281/zenodo.1344634
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    Dataset updated
    Mar 27, 2024
    Dataset provided by
    HS/HSL
    Authors
    Peter Doshi; O'Mareen Spence; Kyungwan Hong; Richie Onwuchekwa Uba
    Description

    To improve reporting transparency and research integrity, some journals have begun publishing study protocols and statistical analysis plans alongside trial publications. To determine the overall availability and characteristics of protocols and statistical analysis plans this study reviewed all randomized clinical trials (RCT) published in 2016 in the following 5 general medicine journals: Annals of Internal Medicine, BMJ, JAMA, Lancet, and NEJM. Characteristics of RCTs were extracted from the publication and clinical trial registry. A detailed assessment of protocols and statistical analysis plans was conducted in a 20% random sample of trials. Dataset contains extraction sheets (as SAS data files), code to calculate the values in the tables in the manuscript, and a supplemental file with additional notes on methods used in the study.

  6. U

    Data from: Qualitative study of comprehension of heritability in genomics...

    • datacatalog.hshsl.umaryland.edu
    Updated Apr 24, 2024
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    Clement A. Adebamowo; Rasheed O. Taiwo; John Ipadeola; Temilola Yusuf; Faith Fagbohunlu; Gbemisola Jenfa; Sally N. Adebamowo (2024). Qualitative study of comprehension of heritability in genomics studies among the Yoruba in Nigeria [Dataset]. https://datacatalog.hshsl.umaryland.edu/dataset/202
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    Dataset updated
    Apr 24, 2024
    Dataset provided by
    HS/HSL
    Authors
    Clement A. Adebamowo; Rasheed O. Taiwo; John Ipadeola; Temilola Yusuf; Faith Fagbohunlu; Gbemisola Jenfa; Sally N. Adebamowo
    Area covered
    Nigeria
    Description

    To address concerns about comprehension and adequacy of informed consent, qualitative data was collected to examine whether there are linguistic and cultural concepts used to communicate heritability of characters, traits, and diseases in an indigenous African population. Researchers conducted focus group discussions among 115 participants and key informant interviews among 25 stakeholders and key opinion leaders among Yoruba living in Ibadan, Nigeria. The resulting dataset was contributed to the INDIGENE study which uses qualitative research methods to elicit these words and use them to design “enhanced informed consent” forms that are compared with standard informed consent in a randomized trial.

  7. U

    Substances nominated for inclusion on the 503B Bulks List: Bismuth Nitrate...

    • datacatalog.hshsl.umaryland.edu
    Updated Mar 27, 2024
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    Melissa V. Yuen; Stephanie L. Gianturco; Laura L. Pavlech; Kathena D. Storm; SeJeong Yoon; Ashlee N. Mattingly (2024). Substances nominated for inclusion on the 503B Bulks List: Bismuth Nitrate Oxide [Dataset]. https://datacatalog.hshsl.umaryland.edu/dataset/124
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    Dataset updated
    Mar 27, 2024
    Dataset provided by
    HS/HSL
    Authors
    Melissa V. Yuen; Stephanie L. Gianturco; Laura L. Pavlech; Kathena D. Storm; SeJeong Yoon; Ashlee N. Mattingly
    Time period covered
    Jan 1, 2018 - Dec 31, 2020
    Area covered
    United States
    Description

    The University of Maryland Center of Excellence in Regulatory Science and Innovation (M-CERSI), in collaboration with the Food and Drug Administration (FDA), conducted research and outreach to solicit input from the public, including medical specialists, to better understand the use of certain bulk drug substances nominated for use in compounding by outsourcing facilities under section 503B of the Federal Food, Drug, and Cosmetic Act (the Act). In particular, we were interested in how drugs compounded with these bulk drug substances were used historically, and how they are currently used in clinical practice. The research will assist the FDA in its development of a list of bulk drug substances that outsourcing facilities can use in compounding under section 503B of the Act. Research for each bulk drug substance included a systematic literature review, interviews with medical experts and a survey of healthcare practitioners. The data on findings for the nominated substance, bismuth nitrate oxide, were summarized in the Bismuth Nitrate Oxide: Summary Report accessible via the UMB Digital Archive.

  8. U

    Mutations in Diphosphoinositol-Pentakisphosphate Kinase PPIP5K2 are...

    • datacatalog.hshsl.umaryland.edu
    • plos.figshare.com
    Updated Apr 19, 2024
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    Saima Riazuddin; Rizwan Yousaf; Chunfang Gu; Zubair M. Ahmed; Shaheen N. Khan; Thomas B. Friedman; Sheikh Riazuddin; Stephen B. Shears (2024). Mutations in Diphosphoinositol-Pentakisphosphate Kinase PPIP5K2 are associated with hearing loss in human and mouse [Dataset]. http://doi.org/10.1371/journal.pgen.1007297
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    Dataset updated
    Apr 19, 2024
    Dataset provided by
    HS/HSL
    Authors
    Saima Riazuddin; Rizwan Yousaf; Chunfang Gu; Zubair M. Ahmed; Shaheen N. Khan; Thomas B. Friedman; Sheikh Riazuddin; Stephen B. Shears
    Area covered
    Punjab (Pakistan)
    Description

    Genetically complex non-syndromic recessively inherited hearing loss (NSRHL) comprises approximately 75% of hereditary deafness. This study investigated NSRHL in two large consanguineous Pakistani families. Exome sequencing coupled with homozygosity mapping was used to identify a missense variant in PPIP5K2 gene associated with nonsyndromic, prelingual sensorineural deafness. Biochemical analysis was performed to compare wild type human PPIP5K2 with the variant. Additional research was conducted on mouse mutants to observe the effects on the outer hair cells and hearing thresholds. This dataset includes genetic, hearing function, gene expression, and histological data and images.

  9. U

    Substances nominated for inclusion on the 503B Bulks List: Brilliant Blue G

    • datacatalog.hshsl.umaryland.edu
    Updated Mar 27, 2024
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    Ashlee N. Mattingly; Stephanie L. Gianturco; Laura L. Pavlech; Kathena D. Storm; SeJeong Yoon; Melissa V. Yuen (2024). Substances nominated for inclusion on the 503B Bulks List: Brilliant Blue G [Dataset]. https://datacatalog.hshsl.umaryland.edu/dataset/129
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    Dataset updated
    Mar 27, 2024
    Dataset provided by
    HS/HSL
    Authors
    Ashlee N. Mattingly; Stephanie L. Gianturco; Laura L. Pavlech; Kathena D. Storm; SeJeong Yoon; Melissa V. Yuen
    Time period covered
    Jan 1, 2018 - Dec 31, 2020
    Area covered
    United States
    Description

    The University of Maryland Center of Excellence in Regulatory Science and Innovation (M-CERSI), in collaboration with the Food and Drug Administration (FDA), conducted research and outreach to solicit input from the public, including medical specialists, to better understand the use of certain bulk drug substances nominated for use in compounding by outsourcing facilities under section 503B of the Federal Food, Drug, and Cosmetic Act (the Act). In particular, we were interested in how drugs compounded with these bulk drug substances were used historically, and how they are currently used in clinical practice. The research will assist the FDA in its development of a list of bulk drug substances that outsourcing facilities can use in compounding under section 503B of the Act. Research for each bulk drug substance included a systematic literature review, interviews with medical experts and a survey of healthcare practitioners. The data on findings for the nominated substance, brilliant blue G, were summarized in the Brilliant Blue G: Summary Report accessible via the UMB Digital Archive.

  10. U

    Data from: Dopamine in the dorsal bed nucleus of stria terminalis signals...

    • datacatalog.hshsl.umaryland.edu
    Updated Feb 20, 2024
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    Utsav Gyawali; David A. Martin; Fangmiao Sun; Yulong Li; Donna Calu (2024). Dopamine in the dorsal bed nucleus of stria terminalis signals Pavlovian sign-tracking and reward violations [Dataset]. https://datacatalog.hshsl.umaryland.edu/dataset/213
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    Dataset updated
    Feb 20, 2024
    Dataset provided by
    HS/HSL
    Authors
    Utsav Gyawali; David A. Martin; Fangmiao Sun; Yulong Li; Donna Calu
    Description

    Fiber optics were implanted into the dorsal bed nucleus of the stria terminalis (dBNST) of 8-week-old male and female Sprague Dawley rats. Dopamine activity was measured using GRABda signals in the dBNST during a series of behavioral experiments. Experiments includes a Pavlovian lever autoshaping (PLA) training, a reward prediction error (RPE) probe session, and a satiety test. Rats were injected with fentanyl prior to the PLA session.

  11. u

    Nationwide Readmissions Database

    • datacatalog.hshsl.umaryland.edu
    Updated Apr 28, 2021
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    (2021). Nationwide Readmissions Database [Dataset]. https://datacatalog.hshsl.umaryland.edu/search?keyword=subject_domain:Patient%20Readmission
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    Dataset updated
    Apr 28, 2021
    Description

    The Nationwide Readmissions Database is part of the Healthcare Cost and Utilization Project (HCUP) family of databases. The NRD is derived from the HCUP State Inpatient Databases (SID), and aims to provide nationally represenative data to support hospital readmission analyses. The NRD includes all-payer inpatient discharges from HCUP partner community hospitals in the SID which have verifiable patient linkage numbers. These synthetic linkage numbers allow analysts to track patients across hospital stays, while maintaining patient privacy. The NRD contains over 14 million discharge records per data year from about 85% of SID discharges from participating states. The 122 data elements in the NRD include diagnostic and procedure codes, and hospital characteristics. The data cannot be used to track readmissions across states or across data years or used for state-, facility-, or physician-level analyses.

  12. U

    Medicare Current Beneficiary Survey (MCBS)

    • datacatalog.hshsl.umaryland.edu
    Updated Oct 27, 2023
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    HS/HSL (2023). Medicare Current Beneficiary Survey (MCBS) [Dataset]. https://datacatalog.hshsl.umaryland.edu/dataset/67
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    Dataset updated
    Oct 27, 2023
    Dataset authored and provided by
    HS/HSL
    Time period covered
    Jan 1, 1991 - Dec 31, 2013
    Area covered
    United States
    Description

    The MCBS is a multipurpose survey of a nationally representative sample of the Medicare population to determine expenditures and sources of payment for all services used by Medicare beneficiaries. These include co-payments, deductibles, as well as non-covered healthcare costs. Additionally, all types of health insurance coverage has been related to sources of payment. Finally, outcomes over time were traced to assess the impacts of Medicare program changes on satisfaction with care and usual source of care. This UMB dataset is maintained by the Pharmaceutical Research Computing Center within the Department of Pharmaceutical Health Services Research at the University of Maryland School of Pharmacy. The Center provides computer programming, data management, pharmaceutical classification, and analytical support for health services research and evaluation.

  13. U

    GISAID

    • datacatalog.hshsl.umaryland.edu
    Updated Apr 24, 2024
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    (2024). GISAID [Dataset]. https://datacatalog.hshsl.umaryland.edu/dataset/108
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    Dataset updated
    Apr 24, 2024
    Time period covered
    Jan 1, 2008 - Present
    Area covered
    Global
    Description

    "The GISAID Initiative promotes the rapid sharing of data from all influenza viruses and the coronavirus causing COVID-19. This includes genetic sequence and related clinical and epidemiological data associated with human viruses, and geographical as well as species-specific data associated with avian and other animal viruses, to help researchers understand how viruses evolve and spread during epidemics and pandemics.

    GISAID does so by overcoming disincentive hurdles and restrictions, which discourage or prevented sharing of virological data prior to formal publication." (From "Mission")

  14. u

    Heroin in Transition Study (HIT)

    • datacatalog.hshsl.umaryland.edu
    Updated Aug 9, 2018
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    (2018). Heroin in Transition Study (HIT) [Dataset]. https://datacatalog.hshsl.umaryland.edu/search?keyword=subject_keywords:Heroin%20Purity
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    Dataset updated
    Aug 9, 2018
    Description

    Dataset comprises hospitalization rates for opioid injection-related skin and soft-tissue infections (O-SSTI) correlated with changes in the price and purity of heroin for the years 1993 through 2010, inclusive. Data is derived from the Healthcare Cost and Utilization Project (HCUP) Nationwide Inpatient Sample (NIS) and the Drug Enforcement Administration (DEA) System to Retrieve Information from Drug Evidence (STRIDE) databases for 27 Metropolitan Statistical Areas (MSAs).

  15. U

    Data from: Long Term Memory Outcome of Repetitive, Low-Level Dietary...

    • datacatalog.hshsl.umaryland.edu
    Updated Apr 19, 2024
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    Lynn M. Grattan; Laura Kaddis; J. Kathleen Tracy; John Glenn Morris (2024). Long Term Memory Outcome of Repetitive, Low-Level Dietary Exposure to Domoic Acid in Native Americans [Dataset]. https://datacatalog.hshsl.umaryland.edu/dataset/174
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    Dataset updated
    Apr 19, 2024
    Dataset provided by
    HS/HSL
    Authors
    Lynn M. Grattan; Laura Kaddis; J. Kathleen Tracy; John Glenn Morris
    Area covered
    Pacific, Northwest
    Description

    This dataset measures razor clam consumption, memory, clerical speed and accuracy, and depression to study the long term impact of lower level doses of the marine-based neurotoxin, domoic acid. Data was collected over an eight year period, between the years 2009 and 2020. Data was collected from 500 randomly selected Native Americans between the ages of 18 and 64 who resided in the coastal communities of the Pacific Northwest United States. Demographic and medical history were obtained using standardized interview procedures. Substance use, and razor clam consumption history were obtained using the brief Michigan Alcoholism Screen Test (BMAST), Drug Abuse Screen Test (DAST), and a Shellfish Assessment Survey.

  16. U

    A 2-Year Clinical Evaluation of Fissure Sealants

    • datacatalog.hshsl.umaryland.edu
    Updated Aug 12, 2025
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    Vineet Dhar; Haiyan Chen (2025). A 2-Year Clinical Evaluation of Fissure Sealants [Dataset]. https://datacatalog.hshsl.umaryland.edu/dataset/22
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    Dataset updated
    Aug 12, 2025
    Dataset provided by
    HS/HSL
    Authors
    Vineet Dhar; Haiyan Chen
    Time period covered
    Jan 1, 2007 - Dec 31, 2009
    Area covered
    Udaipur (India : District)
    Description

    25 children ranging in age from 6 to 10 years participated in this bilateral split-mouth study evaluating two dental sealants for retention and secondary caries development. Data were collected comparing resin based and glass ionomer based sealants with and without tooth preparation at 6-month intervals over a 2 year period. Dataset includes demographic and clinical measures and sealant performance evaluation and comparison at 6, 12, 18 and 24 months.

  17. U

    Older Adult Drinking Patterns: Exploring Social and Motivational Influences

    • datacatalog.hshsl.umaryland.edu
    Updated Oct 27, 2023
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    Paul Sacco; Karen Burruss; Cristan A. Smith; Alexis Kuerbis; Donna Harrington; Alison A. Moore; Barbara Resnick (2023). Older Adult Drinking Patterns: Exploring Social and Motivational Influences [Dataset]. https://datacatalog.hshsl.umaryland.edu/dataset/24
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    Dataset updated
    Oct 27, 2023
    Dataset provided by
    HS/HSL
    Authors
    Paul Sacco; Karen Burruss; Cristan A. Smith; Alexis Kuerbis; Donna Harrington; Alison A. Moore; Barbara Resnick
    Time period covered
    Jan 1, 2010 - Dec 31, 2012
    Description

    This dataset is associated with a pilot study investigating the relationship of alcohol consumption to the motives and affective states among residents in a continuing care retirement community. Data were collected from 71 volunteer participants in 3 phases over a 9 day period: an initial face-to-face interview, daily telephone surveys, and a final telephone interview on the last day of the study. The dataset includes sociodemographic variables, physical and mental health measures (including depressive symptoms), daily alcohol consumption statistics utilizing the NIAAA standard drink graphic, and drinking motives assessment data.

  18. County Business Patterns (CBP)

    • datacatalog.hshsl.umaryland.edu
    Updated Mar 27, 2024
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    United States. Bureau of the Census (2024). County Business Patterns (CBP) [Dataset]. https://datacatalog.hshsl.umaryland.edu/dataset/72
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    Dataset updated
    Mar 27, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    United States. Bureau of the Census
    Time period covered
    Jan 1, 1986 - Present
    Area covered
    United States
    Description

    The data includes, for each designated geographic area, employment and payroll data organized by NAICS. The North American Industry Classification System (NAICS) is used by the United States, Canada, and Mexico to classify businesses by industry. "This data is useful for studying the economic activity of small areas; analyzing economic changes over time; and as a benchmark for other statistical series, surveys, and databases between economic censuses. Businesses use the data for analyzing market potential, measuring the effectiveness of sales and advertising programs, setting sales quotas, and developing budgets. Government agencies use the data for administration and planning." (from website)

  19. U

    Occupational exposures in the operating room: Are surgeons well-equipped?

    • datacatalog.hshsl.umaryland.edu
    Updated Mar 27, 2024
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    Wilmina N. Landford; Ledibabari Mildred Ngaage; Erica Lee; Yvonne Rasko; Robin Yang; Sheri Slezak; Richard Redett (2024). Occupational exposures in the operating room: Are surgeons well-equipped? [Dataset]. http://doi.org/10.1371/journal.pone.0253785
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    Dataset updated
    Mar 27, 2024
    Dataset provided by
    HS/HSL
    Authors
    Wilmina N. Landford; Ledibabari Mildred Ngaage; Erica Lee; Yvonne Rasko; Robin Yang; Sheri Slezak; Richard Redett
    Time period covered
    2019
    Area covered
    Baltimore (Md.)
    Description

    This study aimed to clarify the extent to which surgeons are trained in operating room hazards and assess the self-reported exposure rate across surgical specialties and academic levels. The authors implemented a cross-sectional electronic 21-item questionnaire, through Qualtrics, to surgical attendings, fellows, and residents from June to August 2019 at Johns Hopkins Hospital and affiliated hospitals. The survey evaluated 13 occupational hazards: bloodborne pathogens, surgical smoke, ergonomics, radiation, sharp injuries, inhalation exposure to methylmethacrylate, cytotoxic drugs, formaldehyde, patient lifting, prolonged standing, surgical hand scrub, surgical noise, and anesthetic gases. Data was analyzed using IBM's Statistical Package for the Social Sciences (SPSS).

  20. U

    Rwanda Demographic Health Surveys

    • datacatalog.hshsl.umaryland.edu
    Updated Jul 29, 2025
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    DHS Program (2025). Rwanda Demographic Health Surveys [Dataset]. https://datacatalog.hshsl.umaryland.edu/dataset/173
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    Dataset updated
    Jul 29, 2025
    Dataset authored and provided by
    DHS Program
    Time period covered
    Jan 1, 1992 - Dec 31, 2020
    Area covered
    Rwanda
    Description

    Rwanda Demographic Health Surveys, part of the USAID Demographic Health Surveys Program, provide reliable estimates of fertility levels, marriage, sexual activity, fertility preferences, family planning methods, breastfeeding practices, nutrition, childhood and maternal mortality, maternal and child health, early childhood development, malaria, domestic violence, and HIV/AIDS and other STIs. The information collected is intended to assist policymakers and program managers in evaluating and designing programs and strategies for improving the health of the country’s population. The Demographic and Health Survey has been conducted in Rwanda for the following years: 1992, 2000, 2005, 2010, 2014-15, and 2019-20.

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John G. Rizk; Jannat Saini; Kyungha Kim; Uzma Pathan; Danya M. Qato (2024). County-level factors associated with a mismatch between opioid overdose mortality and availability of opioid treatment facilities [Dataset]. https://datacatalog.hshsl.umaryland.edu/dataset/224

Data from: County-level factors associated with a mismatch between opioid overdose mortality and availability of opioid treatment facilities

Related Article
Explore at:
Dataset updated
Jul 17, 2024
Dataset provided by
HS/HSL
Authors
John G. Rizk; Jannat Saini; Kyungha Kim; Uzma Pathan; Danya M. Qato
Time period covered
Jan 1, 2017 - Dec 31, 2021
Area covered
United States
Description

Characteristics associated with low availability of treatment facilities and high rates of opioid overdose mortality were analyzed using a cross-sectional analysis design that combined county-level data from January 1, 2017, to December 31, 2021. Data for 3,130 counties in 50 states and Washington D.C. from several sources were accessed through PolicyMap, including American Community Survey (ACS), the Centers for Disease Control and Prevention (CDC), the United States Bureau of Labor Statistics (BLS), and the Substance Abuse and Mental Health Services Administration (SAMSHA).

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