Reopening New York – Data needs of Regional and County Health Planners
Expanding upon the web-based report on New York State’s county population vulnerability to COVID-19 disease, previously published by the Cornell Program on Applied Demographics (PAD) and the Cornell Population Center (CPC), Matthew Hall (CPC Director and Associate Professor, Policy Analysis and Management) and Warren Brown (PAD) project will collect data on workforce vulnerability and health care capacity. The researchers will canvass county and regional public health planning organizations to provide feedback at the initial and subsequent phases of the project’s online reporting. Funding for this project is through a Cornell Atkinson, COVID-19 grant.
COVID-19 Vulnerability Assessment
CPC demographers in the Program in Applied Demographics (PAD) work titled, Demographic and Health-Related Vulnerability for NYS Counties resulted in a rapid report and data tracking tool to better understand underlying demographic and health conditions of communities that may exacerbate challenges associated with COVID-19. Local planners, health departments, and community groups across NYS are utilizing these resources for better preparation. Warren Brown (PAD and FSRDC) and Matt Hall have shared this vulnerability assessment research with several NYS media outlets including WKBW Buffalo.
Cohabiting in the Time of Covid-19: The Good, the Bad, and the Need for Support
Sharon Sassler (PAM) with Amanda Miller (University of Indianapolis) explored the challenges for cohabitating couples in their report, Challenges Facing Cohabiting Couples Differ from those of Married Couples in this Crisis.
Read the full article in Council on Contemporary Families.
Mandated Paid Sick-Leave and COVID-19
Nicolas R. Ziebarth (PAM) and his colleagues using two independent data sets on flu outbreaks—one from Google and the other from the CDC—found in both cases, that places that imposed sick pay requirements reduced flu cases by about 10 percent or more. Based on the research, Ziebarth reports that “mandated sick pay would definitely slow down the spread of the disease, which is crucial in these times.” Read more in the Washington Post article.
Novel Dataset Reveals the Deepening Effects of COVID-19 on Inequality
Nicolas Bottan (PAM) with Bridget Hoffmann and Diego Vera-Cossio both from the Inter-American Development Bank determined that initial conclusions from their online survey show that the coronavirus pandemic is having unprecedented effects on the daily lives of citizens in Latin America and the Caribbean with especially dire impacts on lower income households that range from job and income losses to a lack of information on the disease itself. Read the full article at Inter-American Development Bank.
Course Enrollment Planning and COVID-19
Kim Weeden (SOC) and Benjamin Cornwell (SOC) explore enrollment networks in their paper The Small World Network of College Classes: Implications for Epidemic Spread on a University Campus. To slow the spread of the novel coronavirus, many universities shifted to online instruction and now face the question of whether and how to resume in-person instruction. Read the updated report.
Essential and Frontline Workers in the COVID-19 Crisis
Francine D. Blau (ILR), Josefine Koebe (Universität Hamburg) and Pamela Meyerhofer (Ph.D. Candidate PAM) analyzed the characteristics of essential workers, and the subcategory of this group, frontline workers. They found that the broader group of essential workers comprises a large share of the labor force and tends to mirror its demographic characteristics. In contrast, the narrower category of frontline workers is, on average, less educated, has lower wages, and has a higher representation of minorities. Read the Econofact report.
Impact of COVID-19 on Immigrant Populations
Matt Hall (PAM), Shannon Gleeson (ILR), and Filiz Garip (SOC) with Duke Population Researcher Center collaborators, Giovanna Merli, Gabriela Nagy Carrasquel, and Claire LeBarbenchon are studying the impact of COVID-19 on immigrant populations in the U.S. They plan to use a novel methodology techniques to sample respondents representative of first-generation Chinese immigrants in the Raleigh Durham area of North Carolina and a new sample of Mexican and Central American recent immigrants in the New York metropolitan area. The combined data will allow us to understand which immigrant groups have been hit hard by the COVID-19 outbreak, and in what ways. In both settings, we will also collect information about immigrants’ social and economic ties to their countries of origin, and thus explore how the ripple effects of the outbreak travel from one setting to another.