As Americans are trying to keep up with current government guidelines and recommendations during the coronavirus pandemic, the Center for Disease Control and Prevention (CDC.gov) had almost 934 million pageviews in the preceding 30 days. The CDC is the most trusted source of information for the U.S. public regarding the current COVID-19 outbreak, followed by other government and public health websites.

UK healthcare expenditure data by financing scheme, function and provider, and additional analyses produced to internationally standardised definitions.

Health center service area boundaries for New York City. Health Center service areas are aggregates of health areas and are used for reporting health statistics. They were created by the NYC Department of Health and Mental Hygiene (DOHMH).

All previously released versions of this data are available on the DCP Website: BYTES of the BIG APPLE. Current version: 25d

U.S. state governments have the responsibility to regulate and license behavioral health care interventions, such as for addiction and mental illness, with increasing emphasis on evidence-based programs (EBPs). A serious obstacle to this is lack of clarity or agreement about what constitutes "evidence-based." This study's purpose was to determine the extent to which and in what contexts web-based Evidence-Based Program Registries (EBPRs) are referenced in state government statutes and regulations ("mandates") concerning behavioral health care. The study employed the Westlaw Legal Research Database to search for 30 known EBPR websites relevant to behavioral health care within the statutes and regulations of all 50 states. Questions of interest included prevalence of EBPR references in statutes and regulations, purpose of references to EBPRs, context of references to EBPRs, and service areas represented by the mandate.

MedlinePlus is the National Institutes of Health's Web site for patients and their families and friends. Produced by the National Library of Medicine, the world’s largest medical library, it brings you information about diseases, conditions, and wellness issues in language you can understand. MedlinePlus offers reliable, up-to-date health information, anytime, anywhere, for free.

Health Area boundaries for New York City. Health areas are used for reporting health statistics and were created by the NYC Department of Health and Mental Hygiene (DOHMH)

All previously released versions of this data are available on the DCP Website: BYTES of the BIG APPLE. Current version: 25c

Medical Questions: Unveiling the MedQuAD Dataset

Have you ever wondered where medical chatbots or intelligent search engines for health information get their knowledge? The answer lies in large datasets like MedQuAD! This rich resource provides a treasure trove of real-world medical questions and informative answers, paving the way for advancements in Natural Language Processing (NLP) and Information Retrieval (IR) within the healthcare domain.

What is MedQuAD?

MedQuAD, short for Medical Question Answering Dataset, is a collection of question-answer pairs meticulously curated from 12 trusted National Institutes of Health (NIH) websites. These websites cover a wide range of health topics, from cancer.gov to GARD (Genetic and Rare Diseases Information Resource).

What makes MedQuAD unique?

Beyond the sheer volume of data, MedQuAD offers unique features that empower researchers and developers:

1. Diversity of Questions: MedQuAD encompasses a spectrum of 37 question types, ranging from treatment options and diagnosis inquiries to understanding side effects. This variety reflects the diverse needs of individuals seeking medical information.
2. Focus on Specific Entities: MedQuAD goes beyond just questions and answers. It delves deeper by associating each question with the entity it focuses on, such as diseases, drugs, or other medical tests. This targeted approach facilitates more focused research and NLP applications.
3. Rich Annotations: While the answers from MedlinePlus collections are excluded due to copyright restrictions, MedQuAD retains valuable annotations within its XML files. These annotations include question type, synonyms, unique identifiers (CUI) for medical concepts, and semantic types. This additional information opens doors for more sophisticated NLP tasks.

The Power of MedQuAD

MedQuAD serves as a valuable springboard for various applications in the medical NLP and IR field. Here are some potential uses:

1. Training Chatbots and Virtual Assistants: AI-powered medical chatbots can leverage MedQuAD to learn how to respond accurately and informatively to a wide range of health inquiries from users.
2. Developing Intelligent Search Engines: Search engines can be enhanced to provide more relevant and accurate health information by drawing insights from the question types and focuses presented in MedQuAD.
3. Studying User Concerns in Healthcare: Analyzing the types of questions within MedQuAD can reveal valuable insights into what information users are most interested in and what areas require clearer explanations.

In essence, MedQuAD is a powerful tool for unlocking the potential of NLP and IR in the medical domain. By leveraging this rich dataset, researchers and developers are paving the way for a future where individuals can access accurate and comprehensive health information with increasing ease and efficiency.

Reference:

If you use the MedQuAD dataset or the associated QA test collection, please cite the following paper: Ben Abacha, A., & Demner-Fushman, D. (2019). A Question-Entailment Approach to Question Answering. BMC Bioinformatics, 20(1), 511. https://doi.org/10.1186/s12859-019-3119-4

Download a list of facilities licensed or certified by the Division of Health Care Facility Licensure & Certification, including bed counts.

Documentation file for do-files and datasets corresponding to paper titled: “Public Health Policy at Scale: Impact of a Government-sponsored Information Campaign on Infant Mortality in Denmark” Onur Altindag, Jane Greve, and Erdal Tekin This document describes the datasets, STATA and R programs that replicate the results for the paper “Public Health Policy at Scale: Impact of Government-sponsored Information Campaign on Infant Mortality in Denmark” by Onur Altindag, Jane Greve, and Erdal Tekin, Review of Economics and Statistics, the version that is accepted on February 2021.

Context

This is the data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). Also, Supported by ESRI Living Atlas Team and the Johns Hopkins University Applied Physics Lab (JHU APL).

Data Source

• World Health Organization (WHO): https://www.who.int/
• DXY.cn. Pneumonia. 2020. http://3g.dxy.cn/newh5/view/pneumonia.
• BNO News: https://bnonews.com/index.php/2020/02/the-latest-coronavirus-cases/
• National Health Commission of the People’s Republic of China (NHC):
• http://www.nhc.gov.cn/xcs/yqtb/list_gzbd.shtml
• China CDC (CCDC): http://weekly.chinacdc.cn/news/TrackingtheEpidemic.htm
• Hong Kong Department of Health: https://www.chp.gov.hk/en/features/102465.html
• Macau Government: https://www.ssm.gov.mo/portal/
• Taiwan CDC: https://sites.google.com/cdc.gov.tw/2019ncov/taiwan?authuser=0
• US CDC: https://www.cdc.gov/coronavirus/2019-ncov/index.html
• Government of Canada: https://www.canada.ca/en/public-health/services/diseases/coronavirus.html
• Australia Government Department of Health: https://www.health.gov.au/news/coronavirus-update-at-a-glance
• European Centre for Disease Prevention and Control (ECDC): https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases
• Ministry of Health Singapore (MOH): https://www.moh.gov.sg/covid-19
• Italy Ministry of Health: http://www.salute.gov.it/nuovocoronavirus
• 1Point3Arces: https://coronavirus.1point3acres.com/en
• WorldoMeters: https://www.worldometers.info/coronavirus/
• COVID Tracking Project: https://covidtracking.com/data. (US Testing and Hospitalization Data. We use the maximum reported value from "Currently" and - - - "Cumulative" Hospitalized for our hospitalization number reported for each state.)
• French Government: https://dashboard.covid19.data.gouv.fr/

Terms of Use

This GitHub repo and its contents herein, including all data, mapping, and analysis, copyright 2020 Johns Hopkins University, all rights reserved, is provided to the public strictly for educational and academic research purposes. The Website relies upon publicly available data from multiple sources, that do not always agree. The Johns Hopkins University hereby disclaims any and all representations and warranties with respect to the Website, including accuracy, fitness for use, and merchantability. Reliance on the Website for medical guidance or use of the Website in commerce is strictly prohibited.

The COVID-19 Guidance Questionnaire The COVID-19 Guidance Questionnaire is published on Government website. The opinion he provides has no medical value: its goal is to direct the respondent according to his or her health and symptoms towards the right behavior to adopt. The algorithm used to propose guidance is in line with documentation published by the Ministry of Solidarity and Health, which reference also other solutions that comply with it. ### Data from the COVID-19 Guidance Questionnaire This data is published in open data to inform about the number of times the questionnaire has been completed to the end as well as the guidance messages sent. Data are grouped by week, department and age group. For each week/department/age class are indicated the number of responses obtained, the number of referrals to the UAS, the number of referrals to a consultation, and the number of messages indicating that the respondent should stay at home and monitor their health. The published ‘csv’ file will be updated weekly by adding the new data. The questionnaire was offline on 27 January 2021, so data runs until 26 January 2021.

The Health Resources and Services Administration (HRSA) monitors and creates the geographic Health Professional Shortage Area (HPSA) federal designations for Primary Care, Mental Health, and Dental Health and can update those designations at any time. To avoid outdated information, static HPSA files have been removed from this site. Please visit https://data.hrsa.gov/data/download, select "Health Workforce" from the dropdown, and click "Shortage Areas" to find the updated HPSA files. If you have any questions, please use the contact email below to reach out to HCAI's Workforce Data Inbox.

The organizational data contains non-personally identifying information on clients referred to, served by, admitted to, and discharged from CPRI. The clinical assessment data included is collected using the interRAI Child and Youth Mental Health (ChYMH) and the ChYMH-Developmental Disability (ChyMH- DD) instruments. These assessment tools are designed for children and youth with mental health concerns receiving services from both inpatient and community-based mental health programs. The clinical assessment dataset is organized by Ministry of Children and Youth Services Regions: * Central * East * North * Toronto * West * Ontario See data dictionary for individual variables. *[CPRI]: Child and Parent Resource Institute

The 2020 ASTHO Profile Survey is a survey conducted by the Association of State and Territorial Health Officials (ASTHO) to gather information on state, territorial, and freely associated state public health agencies (S/THAs) and their activities, structure, and resources. The survey aims to define the scope of state and territorial public health services, identify variations in practice among public health agencies, and contribute to the development of best practices in governmental public health. The instrument was significantly shortened for this data collection and separated into three separate surveys. The surveys were administered in December 2020 and completed by state and territorial health agency staff at each S/THA including senior deputies, chief financial officers, and human resource directors. The survey closed in March 2021; 80% of states and DC responded to at least one survey, of which 40% of states and DC responded to all three surveys; 38% of territories responded to at least one survey, of which 11% responded to all three surveys. Changes may be made to the dataset after it is archived. Please contact profile@astho.org to request the most updated datasets. Additional information on the study can be found by visiting the ASTHO Profile Survey website.