Data Catalog

Researchers, students, and others in the Models of Infectious Disease Agent Study (MIDAS) create and use computational models to study transmission dynamics of a broad range of infectious diseases. Many MIDAS members are conducting research on COVID-19 and are contributing to an extraordinary international collection of data and information regarding the outbreak. Through its Online Portal for COVID-19 Modeling Research, MIDAS provides access to COVID-19-related data and parameter estimates as well as a software catalog with a list of dashboards and visualizations for following the COVID-19 pandemic.

B-cells play a pivotal role in several autoimmune diseases, including patients with immune-mediated neurological disorders (PIMND), such as neuromyelitis optica (NMO), multiple sclerosis (MS), and myasthenia gravis (MG). Targeting B-cells has been an effective approach in ameliorating both central and peripheral autoimmune diseases. However, there is a paucity of literature on the safety of continuous B-cell depletion over a long period of time. The aim of this study was to examine the long-term safety, incidence of infections, and malignancies in subjects receiving continuous therapy with a B-cell depleting agent rituximab over at least 3 years or longer. This was a retrospective study involving PIMND who received continuous cycles of rituximab infusions every 6 to 9 months for up to 7 years. The incidence of infection related adverse events (AE), serious adverse events (SAE), and malignancies were observed.

USAFacts is collecting temporal data on confirmed cases of COVID-19 and deaths at the county level from the Centers for Disease Control and Prevention (CDC) and state- and local-level public health agencies.

From the MDHHS website: "The MiTracking Program gathers existing Michigan-specific environmental and health data and provides them in one online location. These data can be easily queried on the MiTracking data portal. Results are provided in tables, charts, and maps that can be downloaded, saved, and printed. The data provided by the MiTracking program can create greater awareness of environmental health concerns, and inform public health actions and programs."

Proteomics data from a study on whether mercury exposure alters B cell responsiveness to self-antigens by interfering with B cell receptor (BCR) signal transduction. These data show the effects of mercury on the protein tyrosine kinase SYK, a critical protein involved in regulation of the BCR signaling pathway. The raw data for quantitation of SYK phosphorylation status of selected sites were obtained using multiple reaction monitoring (MRM) on a TSQ triple quadrupole mass spectrometer.

The National Vital Statistics System (NVSS) provides the most complete data on births and deaths in the United States. These data are provided through contracts between the National Center for Health Statistics (NCHS) and vital registration systems operated in the various jurisdictions legally responsible for the registration of vital events – births, deaths, marriages, divorces, and fetal deaths.

The Hispanic Community Health Study / Study of Latinos (HCHS/SOL) is a multi-center epidemiologic study in Hispanic/Latino populations to assess the role of acculturation in the prevalence and development of disease, and to identify factors playing a protective or harmful role in the health of Hispanics/Latinos. The target population of 16,000 persons of Hispanic/Latino origin, specifically Cuban, Puerto Rican, Dominican, Mexican, and Central/South American, were recruited through four Field Centers in Miami, San Diego, Chicago and the Bronx area of New York. During 2008-2011 study participants aged 18-74 years underwent an extensive clinic exam and assessments to determine baseline risk factors. Annual follow-up interviews are conducted to determine health outcomes of interest. During the 2014-2017 second clinic visit (Visit 2) participants were re-examined to again collect data predictive of various health outcomes of interest. In addition, a comprehensive reproductive history of women of childbearing age was assessed. The third clinic operations aka "visit" began January 2020 and will conclude in early 2023. HCHS-SOL provides the prevalence of 5 major, readily measured biomedical CVD risk factors (high serum cholesterol and blood pressure levels, obesity, hyperglycemia/diabetes, cigarette smoking), adverse CVD risk profiles (combinations of CVD risk factors), and CVD (coronary heart disease [CHD] and stroke) among US Hispanic/Latino adults of diverse backgrounds.

The objective of this phase II/III randomized clinical trial is to evaluate the efficacy of vitamin D therapy versus placebo in vitamin D-deficient African-Americans with hypertension, including investigating the relationship between vitamin D and cardiac damage (as identified on cardiac magnetic resonance imaging) in a vitamin D-deficient hypertensive patients without prior history of heart disease. Data include cardiac MRI and echocardiography data, lab results (e.g., vitamin D, CBC), and patient characteristics (e.g., vital signs, demographics, health insurance, education level, household income, hypertension drug and vitamin D treatment adherence, dietary intake, sun exposure).

The Behavioral Risk Factor Surveillance System (BRFSS) is a system of health-related telephone surveys that collect state data about U.S. residents regarding their health-related risk behaviors, chronic health conditions, and use of preventive services. BRFSS collects data in all 50 states as well as the District of Columbia and three U.S. territories. BRFSS collects state data about U.S. residents regarding their health-related risk behaviors and events, chronic health conditions, and use of preventive services. BRFSS also collects data on important emerging health issues such as vaccine shortage and influenza-like illness. Interviewers administer the annual BRFSS surveys continuously through the year.

The COVID-19 Open Research Dataset is an extensive machine-readable resource of over 45,000 scholarly articles, including over 33,000 with full text, about COVID-19 and the coronavirus family of viruses for use by the global research community. This dataset is intended to mobilize researchers to apply recent advances in natural language processing to generate new insights in support of the fight against this infectious disease. The dataset is updated weekly and contains all COVID-19 and coronavirus-related research (e.g., SARS, MERS) from the following sources: PubMed's PMC open access corpus (using this query: COVID-19 and coronavirus research), additional COVID-19 research articles from a corpus maintained by the World Health Organization (WHO), and bioRxiv and medRxiv pre-prints (using this query: COVID-19 and coronavirus research). Also available is a comprehensive metadata file of 44,000 coronavirus and COVID-19 research articles with links to PubMed, Microsoft Academic, and the WHO COVID-19 database of publications (includes articles without open access full text).