Public Health

Looking Glass Analytics provides analytic and program support to Federal, State, and Local public health agencies with a variety of products and services, examples of which include:

EpiAnywhere™

With so many competing demands for public health funds and staff time, few resources are left for collection and analysis of case data. Yet, you cannot manage a public health program, much less a disease outbreak, without quality data.

With EpiAnywhere™, public health agencies and professionals—in the United States and internationally—can track cases, analyze critical public health trends and program performance, and report case data automatically to national and international health authorities.

And, because EpiAnywhere™ is managed and maintained by us, our customers just sign up and begin using the secure data collection and analytic tools without any hardware or software to purchase or install.

Find out more at www.epianywhere.com

ADEPT™ GIS – Alcohol and Drug Epidemology for Prevention and Treatment GIS

We have developed a web-based interactive platform for mapping, analysis, reporting, and surveillance of alcohol and drug use data. This platform is called the ADEPT GIS (Alcohol and Drug Epidemiology, Prevention, and Treatment Geographic Information System) and was developed with an innovation grant from the National Institutes of Health’s (NIH) National Institute of Drug Abuse (NIDA).

With grant funding, the ADEPT GIS acquires and integrates alcohol and drug use data in King County, Washington. Examples of data sources include:

  • Drug seizures by law enforcement
  • Alcohol- and drug-related deaths from the WA DOH Death Certificate System
  • Deaths from drug-caused overdoses, from two sources, either WA DOH or county medical examiners
  • Substance abuse treatment and detox records from publicly-funded clients
  • Alcohol- and drug-related hospitalizations from WA DOH

A variety of analytic maps and reports offer users insight into the patterns and trends in these variables over time.

Small Area Intercensal Population Estimates

Rationale. Knowing how many people live in a particular area is critical to understanding and responding to outbreaks or clusters of disease, planning prevention and treatment programs, and allocating public health resources. Population counts of total population and certain sub-groups that define groups at risk (e.g. young, elderly, men, women, etc.) are necessary to calculate rates of occurrence, which when compared, can help identify populations and places with that higher or lower impact for any particular public health event or phenomenon.

It is very helpful to public health practitioners that the U.S. population is counted once every ten years during the national decennial census. Unfortunately, the population is ever changing, just about everywhere. The smaller the area, the more likely that population changes can impact public health statistics. For example, a new apartment complex or retirement community could double the population in a neighborhood and radically change the age composition. Closing a military base could decimate a population in that area but cause a boom in another. That is why estimating changes in population between censuses (intercensal estimates) are important.

Work for WA DOH. Over the past several years we have assisted the Washington State Department of Health in producing small area population estimates for intercensal years to improve per capita rate calculations for service use and other epidemiologic research. Estimation processes include trending, synthetic estimation, and raking, against disparate data sources including decennial census base data plus Washington State annual state, county and city population estimates and forecasts to produce annual population estimates with detailed demographics at small geographic levels – usually aggregations of census blocks (i.e. census block groups, school districts, etc.). Demographically, all estimates are broken out into population subgroups defined by the intersection of Age, Sex, Race, and Hispanic Origin.

Wednesday, February 22, 2012, Administrator

 
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