Records documenting public health campaigns, epidemics, hospitals, and the development of American medicine.

This dataset is sourced from the Illinois Department of Public Health and curated by the Cook County Department of Public Health. It covers a select set of causes of death across the County (excluding Chicago). To maintain confidentiality of individual medical records, counts below 5 and rates below 20 are masked with an asterisk (*). Please review metadata and values carefully and exercise caution when aggregating. Some columns only contain data across certain age groups. Some rows overlap across variables and geographic levels and aggregating without filtering may overestimate the counts. For example, aggregating counts across Place without excluding pre-aggregated counts for "Aggregated Region: Suburban Cook County" and "Aggregated Region: CCDPH Jurisdiction" will overstate the counts. Data prior to 2015 can be found here: Suburban Cook County Deaths (2000-2014).

This dataset comprises public health records, surveillance systems, and environmental monitoring data collected from multiple regions over several years. It contains 43,689 entries that provide a comprehensive view of public health dynamics, essential for understanding disease dissemination and guiding effective control strategies. The data has been meticulously gathered from regional health departments, hospitals, laboratories, and public health organizations, ensuring a high level of quality, consistency, and completeness. Each record has been anonymized and aggregated to protect sensitive information.

This dataset serves as a vital resource for researchers, policymakers, and health professionals aiming to analyze and predict public health trends, assess the impact of environmental factors, and improve epidemic response strategies.

Features The dataset includes the following features:

Age: Age of the individual in years. Gender: Gender of the individual (Male, Female, Other). Location: Geographic location (Urban, Rural, Suburban). Ethnicity: Ethnicity of the individual. Socioeconomic Status (SES): Socioeconomic status categorized as Low, Medium, or High. Chronic Conditions: Presence of chronic health conditions. Vaccination Status: Whether the individual is vaccinated (Yes, No). Medical History: Previous medical history (None, Past Illness, Chronic). Immunity Level: Estimated level of immunity (Low, Medium, High). Reported Symptoms: Type and severity of symptoms reported. Transmission Rate: Rate of disease transmission within the population. Daily New Cases: Number of new cases reported daily. Healthcare Personnel Availability: Availability of healthcare workers in the region. Hospital Capacity: Number of beds and resources available in healthcare facilities. Environmental Factors: Data related to air quality, temperature, and other environmental variables influencing health outcomes. Hospitalization Requirement: Predicted level of hospitalization needed based on reported symptoms and medical history. This dataset is ideal for various analytical tasks, including predictive modeling, classification, and feature exploration, making it a valuable asset for advancing public health research.

This dataset provides comprehensive statistics on global health, focusing on various diseases, treatments, and outcomes. The data spans multiple countries and years, offering valuable insights for health research, epidemiology studies, and machine learning applications. The dataset includes information on the prevalence, incidence, and mortality rates of major diseases, as well as the effectiveness of treatments and healthcare infrastructure.

Dataset Use Cases:

This dataset can be used for:

• Healthcare Policy Analysis: Understanding which diseases are most prevalent and which countries require more investment in healthcare infrastructure.
• Epidemiological Studies: Studying the correlation between disease prevalence and socio-economic factors like income, education, and urbanization.
• Machine Learning Models: Training predictive models to forecast disease trends, mortality rates, and treatment effectiveness based on historical data.
• Global Health Research: Identifying regions that need targeted interventions or public health campaigns.

This chart shows the 2-Year Impact of International Journal of Medical Science and Public Health over time and its percentile among journals.

State and Local Public Health Departments in the United States Governmental public health departments are responsible for creating and maintaining conditions that keep people healthy. A local health department may be locally governed, part of a region or district, be an office or an administrative unit of the state health department, or a hybrid of these. Furthermore, each community has a unique "public health system" comprising individuals and public and private entities that are engaged in activities that affect the public's health. (Excerpted from the Operational Definition of a functional local health department, National Association of County and City Health Officials, November 2005) Please reference http://www.naccho.org/topics/infrastructure/accreditation/upload/OperationalDefinitionBrochure-2.pdf for more information. Facilities involved in direct patient care are intended to be excluded from this dataset; however, some of the entities represented in this dataset serve as both administrative and clinical locations. This dataset only includes the headquarters of Public Health Departments, not their satellite offices. Some health departments encompass multiple counties; therefore, not every county will be represented by an individual record. Also, some areas will appear to have over representation depending on the structure of the health departments in that particular region. Town health officers are included in Vermont and boards of health are included in Massachusetts. Both of these types of entities are elected or appointed to a term of office during which they make and enforce policies and regulations related to the protection of public health. Visiting nurses are represented in this dataset if they are contracted through the local government to fulfill the duties and responsibilities of the local health organization. Since many town health officers in Vermont work out of their personal homes, TechniGraphics represented these entities at the town hall. This is denoted in the [DIRECTIONS] field. Effort was made by TechniGraphics to verify whether or not each health department tracks statistics on communicable diseases. Records with "-DOD" appended to the end of the [NAME] value are located on a military base, as defined by the Defense Installation Spatial Data Infrastructure (DISDI) military installations and military range boundaries. "#" and "*" characters were automatically removed from standard HSIP fields populated by TechniGraphics. Double spaces were replaced by single spaces in these same fields. At the request of NGA, text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. At the request of NGA, all diacritics (e.g., the German umlaut or the Spanish tilde) have been replaced with their closest equivalent English character to facilitate use with database systems that may not support diacritics. The currentness of this dataset is indicated by the [CONTDATE] field. Based on this field, the oldest record dates from 11/18/2009 and the newest record dates from 01/08/2010.

This chart shows Vanderbilt Institute for Medicine and Public Health's h-index over time and its percentile among research bodies. Here, h-index uses the broader indexed document set, including non-peer-reviewed items and books.

This dataset is part of a series of seven datasets about Cook County births sourced from the Illinois Department of Public Health and curated by the Cook County Department of Public Health. This dataset includes physical health and wellness factors for people who gave birth across the County (excluding Chicago).

The full data series is as follows:

1) Birth and Fertility 2) Birth Outcomes 3) Characteristics of Delivery 4) Infant Mortality 5) Initiated Breastfeeding 6) Pregnancy Health and Risk Factors 7) Sociodemographic Characteristics of Mother

To maintain confidentiality of individual medical records, counts below 5 and rates below 20 are masked with an asterisk (*).

Please review metadata and values carefully and exercise caution when aggregating. Some columns only contain data across certain age groups. Some rows overlap across variables and geographic levels and aggregating without filtering may overestimate the counts. For example, aggregating counts across Place without excluding pre-aggregated counts for "Aggregated Region: Suburban Cook County" and "Aggregated Region: CCDPH Jurisdiction" will overstate the counts.

Data prior to 2015 can be found here: Suburban Cook County Births (2000-2014)

Obtaining a better understanding of the organizational and operational attributes of public health delivery systems is a critical step in elucidating pathways for improving public health services. This survey of local governmental public health agencies was conducted to that end, as part of a larger study designed to classify the structural characteristics of local public health delivery systems and to examine variation and change in these characteristics over time. In 1998 and again in 2006, 2012, 2014, 2016, 2018, and 2023 local governmental public health agencies serving populations of 100,000 residents or more were surveyed about 20 core public health activities devoted to public health assessment, policy development, and assurance. For each activity, the survey instrument asked agency directors to report whether the activity was performed at all in the agency's jurisdiction and if so, which types of organizations were involved in performing the activity. Response options for the second item consisted of a pre-defined list of organization types, including hospitals, physician practices, health insurers, community health centers, educational institutions, community-based and faith-based organizations, state and local government agencies, and private businesses/employers. The instrument also asked what proportion of the total community effort for each activity was contributed by the local public health agency and asked how effectively the activity was performed.

In 2017, Vietnam had about 13.6 thousand health establishments. In that year, there were 1.09 thousand hospitals, 710 medical service units in offices and enterprises, 11.2 thousand medical service units in communes and precincts, 579 regional polyclinics as well as 60 sanatoriums and rehabilitation hospitals.

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.

Public alerts for the Chicago Department of Public Health's (CDPH) Health Alert Network (HAN).

The HAN provides CDPH with the capacity for quick, efficient, reliable, and secure web-based communication with CDPH staff, providers of medical care, laboratories, first responders and other local public health agencies and partners. The HAN facilitates CDPH’s day-to-day activities, including outbreak detection, investigation, and emergency response.

This dataset is published as a convenience to complement the HAN site, itself. While alerts generally are published promptly, for uses involving risk to health and/or life, please contact the HAN team directly to discuss other methods of receiving alerts.

The contents of this dataset, the HAN site, and CDPH's Web site are not intended to be substitutes for professional medical advice, diagnosis, or treatment. Always seek the advice of your physician or other qualified health provider with any questions you may have regarding a medical condition. Professional medical advice should not be ignored because of something you have read on this data portal or any CDPH site.

ABSTRACT This research aimed to evaluate the management of medical waste in hospitals in Ribeirão Preto, São Paulo. This study is characterized as descriptive and exploratory, developed in 11 hospitals in the city. Data collection was carried out through interviews with the medical waste managers, analysis of their management plan and systematized observation. Data collection was initiated after hospital authorization, approval by the CEP of the Escola de Enfermagem de Ribeirão Preto, Universidade de São Paulo. The results revealed that the steps in handling medical waste such as identification, internal transportation, temporary storage, external collection and transport were classified as unsatisfactory, and only segregation was classified as satisfactory. Regarding the type of the treatment offered to medical waste, 7 (63.6%) managers reported that the residues of groups A and E were submitted to microwave treatment; and 5 (45.5%) showed that they did not know about the type of treatment given to group B waste. It is concluded that, despite the existence of a technical-legal framework regulating the guidelines for the managing medical waste, there were inadequacies related to its management.

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.

Public health audience profile for Germany.

Complete dataset containing the academic profile, journal ranking, indexing metrics, and publication metadata for Public Health Nutrition Journal [ISSN: 1368-9800].

In 2023, the urban and rural resident basic medical insurance program in China received an income of more than ************ yuan, representing an increase of *** percent from the previous year. Reform of the public health insurance system In the past few years, the Chinese healthcare system and public health insurance have undergone significant reforms, with the country’s basic medical insurance programs now covering more than **** billion people. To simplify the system and safeguard equal healthcare and benefits to everyone living in both urban and rural regions, the rural cooperative medical scheme and the urban resident basic medical insurance were both integrated into a uniform urban and rural resident basic medical insurance system, which covers all non-working residents across China. Regional inequalities However, inequalities remain rampant among patients from different employment statuses or living in different regions. On one hand, employee basic medical insurance normally offers more comprehensive coverage and higher reimbursement rates than the resident basic medical insurance. On the other hand, with each province having its own policy, the resident basic medical insurance program in poorer regions can also be significantly inferior to its counterpart in a more affluent region. Access to quality healthcare services remains challenging in rural areas, as high-level hospitals and specialists are generally concentrated in provincial capitals and economic centers.

The primary aim was to elucidate the potential associations between exercise and sports-related physical activity (PA) levels prior to the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection and two key aspects: (i) the severity of the disease and (ii) the treatments administered following the most recent SARS-CoV-2 infection.
Data collection spanned from February to March 2023 (a two-month period), involving the utilization of the Active-Q (an online, interactive questionnaire) to automatically assess weekly habitual sports-related PA among adults prior to their last SARS-CoV-2 infection. The questionnaire also captured participant characteristics, such as ethnicity, region of residence, educational level, number of underlying medical conditions that might be associated with severe COVID-19 illnesses, pre-illness vaccination history, occurrences of SARS-CoV-2 re-infections, disease severity, and illness treatment following their most recent SARS-CoV-2 infection. [The data contains: Body mass (kg) and height (cm) values transformed to body mass index (kg·m−2); age (yr) are in raw format, sports-related physical activity level, sex at birth, ethnicity, region of residence, education level, SARS-CoV-2 re-infections, pre-illness vaccination profiles/types, number of underlying medical conditions that could be related to severe illness with COVID-19, disease severity, and illness treatment classification (nominal and categorical formats).] The dataset reveals key insights into the relationships between pre-SARS-CoV-2 infection PA levels and disease severity as well as treatment outcomes among respondents: (i) the independence of sports-related PA level prior to SARS-CoV-2 infection and disease severity categories (x2 = 9.097, df = 12, p = 0.695); and (ii) the dependency of sports-related PA level prior to SARS-CoV-2 infection and illness treatment categories (x2 = 39.362, df = 12, p < 0.001), although post hoc comparisons indicated statistical dependency only between inactive PA level and home remedies treatment.
These findings offer researchers a detailed exploration of the associations between pre-infection physical activity levels and key COVID-19 outcomes, including disease severity and treatment choices. Researchers and health professionals worldwide can draw on these findings to inform their own regional strategies and practices. Moreover, these findings highlight the importance of tailoring healthcare interventions to different patient profiles.

CSV files of pre/post surveys of health science students volunteering on a medical service trip. Data on costs and changes in cultural competence.

Evaluation of physiological and psychological domains of healthcare in Hispanic. Blood Pressure, Height, Weight, LDL, HgA1C, Triglycerides, Total Cholesterol, PhQ9, Duke Profile, Gender, age, and Colonia