The incidence of new COVID-19 cases has not been the same over time throughout the country. This animated map shows the 7-day average ...
By comparing New York's COVID-19 test results with demographic and socioeconomic factors by ZIP code, we found that low education levels, crowded housing, and a lack of health insurance are some of the strongest predictors of high COVID-19 positivity rates.
COVID-19 positivity rate is 1.8 times higher for blacks than for whites. We explore how systemic inequities put many black individuals at higher risk for getting the virus, having a serious case, and suffering from the economic impacts compared to white residents.
In Indiana, black individuals are 2.4 times more likely to test positive than whites. We look at three different ways to visualize COVID-19 disparities like this.
This past November, we released the report Getting Groceries: Food Access Across Groups, Neighborhoods, and Time. Expanding on this ...
The Summer 2017 issue of SAVI Online Magazine covers the influence of location on health. Learn about our latest health projects, from identifying health concerns in Fort Wayne to investigating where tobacco retailers are concentrated.
The Spring 2015 Health edition of the SAVI online magazine features stories on how SAVI is working with the Nurse-Family Partnership to support infant health, how we are contributing to community health assessments, and more.
Read the Fall 2014 Basic Needs edition of the SAVI online magazine to learn how 2nd Presbyterian Church is partnering with SAVI to expand their partnerships and target their services. Also find information on food insecurity in Central Indiana counties, our research about domestic violence in the Marion County criminal justice system, and more.
Read the Report In our updated analysis of 104 ZIP Codes in the metro area (2014-2018), we identified the ...
The report reveals that tobacco is more readily available for purchase in areas that already struggle with quality-of-life issues.
Read the Report This life expectancy report was produced by the Richard M. Fairbanks School of Public Health at IUPUI in partnership ...
Read the Report Central Indiana’s 11 counties are home to 30% of the state’s 6,537,334 Hoosiers. Of this population, 290,550 (15%) ...
Read the Report Obesity is presently one of the most serious and challenging health problems facing the developed world. According to ...
Researchers at the IU School of Medicine needed representative samples of several Indianapolis-area ZIP codes for a study of COVID-19. The Solution SAVI analysts provided demographic analyses of the relevant ZIP codes and created an online dashboard to measure how well volunteer pools mirrored the demographics of those ZIP codes.
Poverty has profound effects on the social, emotional, and intellectual development of children from low-income homes. Goodwill of Central and Southern Indiana’s Nurse-Family Partnership pairs low-income, first-time mothers with nurses who help them meet the challenges of being a new parent. SAVI and other resources facilitate the pairing of nurses with mothers.
The Marion County Public Health Department has limited resources to fight the spread of infectious diseases. Melissa Titus uses SAVI to pinpoint the city’s most vulnerable areas--and then multiply the power of data through storytelling.
Knowing which people will benefit most from supportive services could maximize the benefits of a “social determinants” approach to healthcare. An award-winning app, created with SAVI and other sources, identifies the most at-risk patients and helps connect them to services that improve their health.
After several groceries closed in their community, this community organization needed to understand where food access was lacking and who it affected. SAVI trained Kheprw Institute staff, using SAVI data and GIS software, to find areas lacking food access and the demographics of those communities.
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