Tellen D Bennett
Biographic Data
| ID | 7089018 |
|---|---|
| NAME | Tellen D Bennett |
| GIVEN NAMES | Tellen D |
| FAMILY NAME | Bennett |
| SIGNATURE | BENNETT T D |
| AFFILIATIONS | University of Colorado Denver |
| ORCID | 0000-0003-1483-4236 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
A Machine Learning Method for Allocating Scarce Covid-19 Monoclonal Antibodies
This retrospective cohort study proposes and tests a PLT method, which can be linked to a electronic health record data platform to improve real-time allocation of scarce treatments. Use of this PLT-based allocation method would have likely resulted in fewer hospitalizations across a population than were observed in usual care, with greater expected reductions than a commonly used point system
Associations of County-Level Social Determinants of Health with Covid-19 Related Hospitalization Among People with HIV: A Retrospective Analysis of the U.S. National Covid Cohort Collaborative (N3C)
Individually, the COVID-19 and HIV pandemics have differentially impacted minoritized groups due to the role of social determinants of health (SDoH) in the U.S. Little is known how the collision of these two pandemics may have exacerbated adverse health outcomes. We evaluated county-level SDoH and associations with hospitalization after a COVID-19 diagnosis among people with (PWH) and without HIV (PWOH) by racial/ethnic groups. We used the U.S. N…
The Intersections of Covid-19, HIV, and Race/Ethnicity: Machine Learning Methods to Identify and Model Risk Factors for Severe Covid-19 in a Large U.S. National Dataset
Risk factors associated with post-acute sequelae of Sars-CoV-2: An N3C and NIH Recover study
This national study identified important risk factors for PASC diagnosis such as middle age, severe COVID-19 disease, and specific comorbidities. Further clinical and epidemiological research is needed to better understand underlying mechanisms and the potential role of vaccines and therapeutics in altering PASC course
No prominent works on this page.
Risk factors associated with post-acute sequelae of Sars-CoV-2: An N3C and NIH Recover study
This national study identified important risk factors for PASC diagnosis such as middle age, severe COVID-19 disease, and specific comorbidities. Further clinical and epidemiological research is needed to better understand underlying mechanisms and the potential role of vaccines and therapeutics in altering PASC course
A Machine Learning Method for Allocating Scarce Covid-19 Monoclonal Antibodies
This retrospective cohort study proposes and tests a PLT method, which can be linked to a electronic health record data platform to improve real-time allocation of scarce treatments. Use of this PLT-based allocation method would have likely resulted in fewer hospitalizations across a population than were observed in usual care, with greater expected reductions than a commonly used point system
Associations of County-Level Social Determinants of Health with Covid-19 Related Hospitalization Among People with HIV: A Retrospective Analysis of the U.S. National Covid Cohort Collaborative (N3C)
Individually, the COVID-19 and HIV pandemics have differentially impacted minoritized groups due to the role of social determinants of health (SDoH) in the U.S. Little is known how the collision of these two pandemics may have exacerbated adverse health outcomes. We evaluated county-level SDoH and associations with hospitalization after a COVID-19 diagnosis among people with (PWH) and without HIV (PWOH) by racial/ethnic groups. We used the U.S. N…
The Intersections of Covid-19, HIV, and Race/Ethnicity: Machine Learning Methods to Identify and Model Risk Factors for Severe Covid-19 in a Large U.S. National Dataset
Cohort (4 works) · Coronavirus disease 2019 (COVID-19 (4 works) · Disease (4 works) · Infectious disease (medical specialty (4 works) · Internal Medicine (4 works) · Medicine (4 works) · Cohort study (3 works) · COVID-19 Clinical Research Studies (3 works) · Demography (3 works) · Demography (3 works)