The New York Times is releasing a series of data files with cumulative counts of coronavirus cases in the United States, at the state and county level, over time. They are compiling this time series data from state and local governments and health departments in an attempt to provide a complete record of the ongoing outbreak. This is a map built with their data and updated (almost) daily to track progress in Ohio’s counties.
Note: This post is in progress. Every year the U.S. Department of Housing and Urban Development (HUD) releases the Annual Homeless Assessment Report to Congress (AHAR) in two parts. Part 1 provides Point-in-Time (PIT) estimates, offering a snapshot of the homeless (both in shelters and unsheltered) during the last 10 days of January. These estimates are rolled out for Continuums of Care (CoC) – local planning bodies responsible for coordinating the full range of homelessness services in a geographic area, which may cover a city, county, metropolitan area, or an entire state.
This was a project Christelle Khalaf and I undertook for the Health Policy Institute of Ohio (HPIO), essentially a look at adverse childhood experiences and the health costs associated with ACES in Ohio.
The Census Bureau’s Small Area Income and Poverty Estimates (SAIPE) Program and the Small Area Health Insurance Estimates (SAHIE) Program are two of my favorite ‘go-to’ sources for small-area estimates. Both are easily grabbed via tidycensus so the first thing I’d like to do is explore county-level trends going as far back as is possible – 2008-2018 for SAHIE, 2006-2017 for all SAIPE estimates except for school-age (5 to 17 in families) poverty rate estimates that allow for longer comparisons (2005-2017).
The founding report of the Appalachian Regional Commission does a wonderful job of highlighting the state of affairs in Appalachia circa 1950 and 1960. The prose is not too shabby even if it careens every now and then into the romantic: “Graphs and tables can hardly relate the acutely personal story of a child in a remote valley, his horizon of opportunity limited to the enclosing hills; nor the despair of his father, who, idled by forces beyond his control and seeing no prospect of future employment, must live month in and month out with the vision of that child repeating his own history.
The opioid crisis is an issue in most parts of the country and Ohio is no exception, with some of the highest numbers of Fentanyl encounters reported by law enforcement. Although one could, I suppose, try to identify county-level deaths due to drug overdoses via CDC Wonder, this is a quick look at the data provided by the Ohio Hospital Association’s Overdose Data Sharing Program.
Southeastern Ohio Legal Services (SEOLS) is looking to identify available secondary data sources that could shed light on how opioid use (in the adult and youth population) is impacting children and youth in select areas served by SEOLS.
Overdose Data to Action is a 3-year cooperative agreement the CDC began in September 2019 and focuses on the complex and changing nature of the drug overdose epidemic and highlights the need for an interdisciplinary, comprehensive, and cohesive public health approach. ...
This was a study designed to evaluate health disparities between Appalachian and non-Appalachian Ohioans through the lens of statewide survey data gathered every few years.
This study will combine the 2019 Ohio Medicaid Assessment Survey (OMAS) data with 2008 - 2017 OMAS data, both to identify current rural-urban divides in health behaviors, outcomes, and needs of the adult and child populations, and to gauge short-term trends (2008 - 2019).