Cheryl Bettigole
Biographic Data
| ID | 6069091 |
|---|---|
| NAME | Cheryl Bettigole |
| GIVEN NAMES | Cheryl |
| FAMILY NAME | Bettigole |
| SIGNATURE | BETTIGOLE C |
| AFFILIATIONS | University of Pennsylvania |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Stimulant Overdose Prediction Model for Medicaid-Insured Persons
This case-cohort study found that readily available data can be used to identify those at high risk of hospitalization or ED visit for cocaine- or stimulant-involved overdose. These individuals would likely benefit most from evidence-based interventions and awareness of risk factors for overdose
Excess Mortality During the Covid-19 Pandemic in Philadelphia
Objectives. To estimate excess all-cause mortality in Philadelphia, Pennsylvania, during the COVID-19 pandemic and understand the distribution of excess mortality in the population. Methods. With a Poisson model trained on recent historical data from the Pennsylvania vital registration system, we estimated expected weekly mortality in 2020. We compared these estimates with observed mortality to estimate excess mortality. We further examined the d…
Characteristics of tobacco purchases in urban corner stores
In low-income, urban corner store settings, 87% of purchases did not include tobacco; most tobacco purchases did not include the sale of non-tobacco items and spending on non-tobacco items was similar whether or not tobacco was purchased. These findings can help inform retail-level tobacco sales decisions, such as voluntary discontinuation of tobacco products or future public health policies that target tobacco sales. The results challenge prevai…
Excess Mortality During the Covid-19 Pandemic in Philadelphia
Objectives. To estimate excess all-cause mortality in Philadelphia, Pennsylvania, during the COVID-19 pandemic and understand the distribution of excess mortality in the population. Methods. With a Poisson model trained on recent historical data from the Pennsylvania vital registration system, we estimated expected weekly mortality in 2020. We compared these estimates with observed mortality to estimate excess mortality. We further examined the d…
Characteristics of tobacco purchases in urban corner stores
In low-income, urban corner store settings, 87% of purchases did not include tobacco; most tobacco purchases did not include the sale of non-tobacco items and spending on non-tobacco items was similar whether or not tobacco was purchased. These findings can help inform retail-level tobacco sales decisions, such as voluntary discontinuation of tobacco products or future public health policies that target tobacco sales. The results challenge prevai…
Excess Mortality During the Covid-19 Pandemic in Philadelphia
Objectives. To estimate excess all-cause mortality in Philadelphia, Pennsylvania, during the COVID-19 pandemic and understand the distribution of excess mortality in the population. Methods. With a Poisson model trained on recent historical data from the Pennsylvania vital registration system, we estimated expected weekly mortality in 2020. We compared these estimates with observed mortality to estimate excess mortality. We further examined the d…
Stimulant Overdose Prediction Model for Medicaid-Insured Persons
This case-cohort study found that readily available data can be used to identify those at high risk of hospitalization or ED visit for cocaine- or stimulant-involved overdose. These individuals would likely benefit most from evidence-based interventions and awareness of risk factors for overdose
Environmental health (2 works) · Medicine (2 works) · Advertising (1 work) · Business (1 work) · Cardiac Arrest and Resuscitation (1 work) · Cause of death (1 work) · Climate Change and Health Impacts (1 work) · Coronavirus disease 2019 (COVID-19) (1 work) · COVID-19 and healthcare impacts (1 work) · Death certificate (1 work)