Sara Hollis
Biographic Data
| ID | 8667103 |
|---|---|
| NAME | Sara Hollis |
| GIVEN NAMES | Sara |
| FAMILY NAME | Hollis |
| SIGNATURE | HOLLIS S |
| AFFILIATIONS | World Health Organization |
| ORCID | 0000-0002-5883-2905 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Go.Data as a digital tool for case investigation and contact tracing in the context of Covid-19
This study was the first to provide a comprehensive picture of Go.Data implementations during COVID-19 and what joint lessons could be learned. It ultimately demonstrated that Go.Data was a useful complement to responses across diverse contexts, and helped set a reproducible foundation for future outbreaks. Concerted preparedness efforts across the domains of workforce composition, data architecture and political sensitization should be prioritiz…
Tracking global development assistance for trauma care
BACKGROUND: This study aimed to track development assistance for trauma care (DAH-TC), uncover funding trends and gaps, and compare DAH-TC to development assistance for other health conditions. METHODS: A systematic search of the OECD Creditor Reporting System (CRS) and Development Assistance Committee (DAC) databases was performed to capture projects related to trauma care. Reports from large foundations and public-private partnerships were also…
No prominent works on this page.
Tracking global development assistance for trauma care
BACKGROUND: This study aimed to track development assistance for trauma care (DAH-TC), uncover funding trends and gaps, and compare DAH-TC to development assistance for other health conditions. METHODS: A systematic search of the OECD Creditor Reporting System (CRS) and Development Assistance Committee (DAC) databases was performed to capture projects related to trauma care. Reports from large foundations and public-private partnerships were also…
Go.Data as a digital tool for case investigation and contact tracing in the context of Covid-19
This study was the first to provide a comprehensive picture of Go.Data implementations during COVID-19 and what joint lessons could be learned. It ultimately demonstrated that Go.Data was a useful complement to responses across diverse contexts, and helped set a reproducible foundation for future outbreaks. Concerted preparedness efforts across the domains of workforce composition, data architecture and political sensitization should be prioritiz…
Medicine (2 works) · Business (1 works) · Computer Science (1 works) · Contact tracing (1 works) · COVID-19 Digital Contact Tracing (1 works) · COVID-19 epidemiological studies (1 works) · Data collection (1 works) · Data science (1 works) · Disaster Response and Management (1 works) · Documentation (1 works)