Hanh T D Pham
Biographic Data
| ID | 4164130 |
|---|---|
| NAME | Hanh T D Pham |
| GIVEN NAMES | Hanh T D |
| FAMILY NAME | Pham |
| SIGNATURE | PHAM H T D |
| AFFILIATIONS | University of Iowa |
| ORCID | 0000-0002-7502-7369 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Insights from the front line
Introduction: SARS-CoV-2 was declared a pandemic in March 2020. Studies have characterized some of the negative impact of the pandemic on public health workers (PHW), but few have explored the strength and coping strategies used. Our study documents the experiences of PHW in Iowa during the pandemic. Methods: to gather stories from PHW in Iowa between March and July 2022. Participants provided additional data about their story via structured foll…
Effectiveness of implementing evidence-based approaches to promote physical activity in a Midwestern micropolitan area using a quasi-experimental hybrid type I study design
The study demonstrates that the adapted evidence-based PA interventions in a micropolitan context is effective
Automated detection of edge clusters via an overfitted mixture prior
Most community detection methods focus on clustering actors with common features in a network. However, clustering edges offers a more intuitive way to understand the network structure in many real-life applications. Among the existing methods for network edge clustering, the majority are algorithmic, with the exception of the latent space edge clustering (LSEC) model proposed by Sewell ( Journal of Computational and Graphical Statistics, 30 (2),…
Ignored and distressed
Last responders are a critical part of the health care system. Throughout this pandemic, last responders have been frequently ignored and not prioritized for protection and support. Interventions to support last responders cope with stress, and to decrease anxiety are urgently needed. There is also a critical need to challenge community stigma towards last responders
Automated detection of edge clusters via an overfitted mixture prior
Most community detection methods focus on clustering actors with common features in a network. However, clustering edges offers a more intuitive way to understand the network structure in many real-life applications. Among the existing methods for network edge clustering, the majority are algorithmic, with the exception of the latent space edge clustering (LSEC) model proposed by Sewell ( Journal of Computational and Graphical Statistics, 30 (2),…
Ignored and distressed
Last responders are a critical part of the health care system. Throughout this pandemic, last responders have been frequently ignored and not prioritized for protection and support. Interventions to support last responders cope with stress, and to decrease anxiety are urgently needed. There is also a critical need to challenge community stigma towards last responders
Effectiveness of implementing evidence-based approaches to promote physical activity in a Midwestern micropolitan area using a quasi-experimental hybrid type I study design
The study demonstrates that the adapted evidence-based PA interventions in a micropolitan context is effective
Automated detection of edge clusters via an overfitted mixture prior
Most community detection methods focus on clustering actors with common features in a network. However, clustering edges offers a more intuitive way to understand the network structure in many real-life applications. Among the existing methods for network edge clustering, the majority are algorithmic, with the exception of the latent space edge clustering (LSEC) model proposed by Sewell ( Journal of Computational and Graphical Statistics, 30 (2),…
Insights from the front line
Introduction: SARS-CoV-2 was declared a pandemic in March 2020. Studies have characterized some of the negative impact of the pandemic on public health workers (PHW), but few have explored the strength and coping strategies used. Our study documents the experiences of PHW in Iowa during the pandemic. Methods: to gather stories from PHW in Iowa between March and July 2022. Participants provided additional data about their story via structured foll…
Medicine (3 works) · Nursing (3 works) · Public health (3 works) · Biostatistics (2 works) · Clinical Psychology (2 works) · Gerontology (2 works) · Pandemic (2 works) · Psychological intervention (2 works) · Psychology (2 works) · Advanced Clustering Algorithms Research (1 works)