Tuhina Srivastava
Biographic Data
| ID | 8449817 |
|---|---|
| NAME | Tuhina Srivastava |
| GIVEN NAMES | Tuhina |
| FAMILY NAME | Srivastava |
| SIGNATURE | SRIVASTAVA T |
| AFFILIATIONS | University of Washington |
| ORCID | 0000-0002-9684-9759 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
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
Disadvantage Indices Deployed to Promote Equitable Allocation of Covid-19 Vaccines in the US
This scoping review identifies the construction and defined purpose of disadvantage indices deployed during the initial COVID-19 vaccine rollout
No prominent works on this page.
Disadvantage Indices Deployed to Promote Equitable Allocation of Covid-19 Vaccines in the US
This scoping review identifies the construction and defined purpose of disadvantage indices deployed during the initial COVID-19 vaccine rollout
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
2019-20 coronavirus outbreak (1 work) · Artificial Intelligence (1 work) · Business (1 work) · Cardiac Arrest and Resuscitation (1 work) · Computer Science (1 work) · Coronavirus disease 2019 (COVID-19 (1 work) · COVID-19 epidemiological studies (1 work) · Disadvantage (1 work) · Disease (1 work) · Infectious disease (medical specialty (1 work)