Publications by authors named "Giovann Alarcon-Espinoza"
Article Synopsis
- - SARS-CoV-2 spreads mainly through direct contact, and understanding age-specific contact patterns is crucial since susceptibility and transmission vary by age, influencing the design of social distancing measures.
- - A study during the stay-at-home order in Minnesota found that, on average, individuals had 5.7 daily contacts, with significant variations based on age, gender, race, and region; adults aged 40-50 had the most contacts.
- - The research revealed that race/ethnicity affected contact patterns, with Black households reporting more contacts than White ones, while Hispanic households had fewer; most contacts occurred within the same age group compared to the pre-pandemic period.
To report insurance-based discrimination rates for nonelderly adults with private, public, or no insurance between 2011 and 2019, a period marked by passage and implementation of the Affordable Care Act (ACA) and threats to it. We used 2011-2019 data from the biennial Minnesota Health Access Survey. Each year, about 4000 adults aged 18 to 64 years report experiences with insurance-based discrimination.
View Article and Find Full Text PDFFederal regulations establish special enrollment periods--times outside of open enrollment periods--during which people may enroll in or change their health insurance plans offered through the federal and state-based exchanges, or Marketplaces. To be eligible, a person must experience a shift in income or another "qualifying life event," such as a change in marital status or the number of dependents, or the loss of minimum essential health coverage. We produced an upper-bound estimate that 3.
View Article and Find Full Text PDFObjectives: We examined reports of insurance-based discrimination and its association with insurance type and access to care in the early years of the Patient Protection and Affordable Care Act.
Methods: We used data from the 2013 Minnesota Health Access Survey to identify 4123 Minnesota adults aged 18 to 64 years who reported about their experiences of insurance-based discrimination. We modeled the association between discrimination and insurance type and predicted odds of having reduced access to care among those reporting discrimination, controlling for sociodemographic factors.