Emelie Love Yonally Phillips
Biographic Data
| ID | 9799947 |
|---|---|
| NAME | Emelie Love Yonally Phillips |
| GIVEN NAMES | Emelie Love Yonally |
| FAMILY NAME | Phillips |
| SIGNATURE | PHILLIPS E L Y |
| AFFILIATIONS | Epicentre |
| ORCID | 0009-0000-7095-0851 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Implementing computer‐aided detection for TB active case finding
Tuberculosis (TB) remains the leading cause of death from a single infectious agent, with over 1.23 million deaths globally in 2024. Despite available treatment and prevention strategies, timely and accurate detection remains challenging, particularly in high-burden settings such as the Philippines, which accounted for 6.8% of the global burden of TB in 2024. Computer-aided detection (CAD) software integrated with digital chest X-ray offers enhan…
Computer-aided detection pragmatic threshold calibration in TB active case finding
We developed a pragmatic approach to calibrating computer-aided detection (CAD) thresholds in a tuberculosis (TB) active case finding (ACF) project in the Philippines, assessing its feasibility and acceptability in a high-burden urban setting. CAD4TB v.7 (Delft Imaging, Netherlands) software was integrated into ACF activities targeting individuals aged ≥15 years in Tondo, Manila, from November 2022. Referrals for sputum collection and Xpert testi…
Beyond Covid-19, the case for collecting, analysing and using sex-disaggregated data and gendered data to inform outbreak response
INTRODUCTION: Understanding sex and gender differences during outbreaks is critical to delivering an effective response. Although recommendations and minimum requirements exist, the incorporation of sex-disaggregated data and gender analysis into outbreak analytics and response for informed decision-making remains infrequent. A scoping review was conducted to provide an overview of the extent of sex-disaggregated data and gender analysis in outbr…
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Beyond Covid-19, the case for collecting, analysing and using sex-disaggregated data and gendered data to inform outbreak response
INTRODUCTION: Understanding sex and gender differences during outbreaks is critical to delivering an effective response. Although recommendations and minimum requirements exist, the incorporation of sex-disaggregated data and gender analysis into outbreak analytics and response for informed decision-making remains infrequent. A scoping review was conducted to provide an overview of the extent of sex-disaggregated data and gender analysis in outbr…
Implementing computer‐aided detection for TB active case finding
Tuberculosis (TB) remains the leading cause of death from a single infectious agent, with over 1.23 million deaths globally in 2024. Despite available treatment and prevention strategies, timely and accurate detection remains challenging, particularly in high-burden settings such as the Philippines, which accounted for 6.8% of the global burden of TB in 2024. Computer-aided detection (CAD) software integrated with digital chest X-ray offers enhan…
Computer-aided detection pragmatic threshold calibration in TB active case finding
We developed a pragmatic approach to calibrating computer-aided detection (CAD) thresholds in a tuberculosis (TB) active case finding (ACF) project in the Philippines, assessing its feasibility and acceptability in a high-burden urban setting. CAD4TB v.7 (Delft Imaging, Netherlands) software was integrated into ACF activities targeting individuals aged ≥15 years in Tondo, Manila, from November 2022. Referrals for sputum collection and Xpert testi…
COVID-19 diagnosis using AI (2 works) · Tuberculosis Research and Epidemiology (2 works) · Capacity building (1 work) · community acceptability (1 work) · computer-aided detection (1 work) · COVID-19 epidemiological studies (1 work) · COVID-19 Impact on Reproduction (1 work) · Data collection (1 work) · Demography (1 work) · digital health implementation (1 work)