Ben Ainsworth
Datos Biográficos
| ID | 7766518 |
|---|---|
| NOMBRE | Ben Ainsworth |
| NOMBRES | Ben |
| APELLIDO | Ainsworth |
| FIRMA | BEN AINSWORTH |
| AFILIACIONES | University of Southampton |
| ORCID | 0000-0002-5098-1092 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 4 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 4 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2021 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2025 |
| ÍNDICE H | 0 |
Interpersonal psychological factors and asthma outcomes in romantic relationships
A qualitative evaluation of older people’s perceptions towards optimal diet management in the context of antimicrobial resistance
Antimicrobial Resistance (AMR) poses a significant global public health problem. The risk of developing a reservoir of antimicrobial resistant genes in the gut is reportedly higher with certain diets, rendering individual diet-related AMR management a largely untapped approach in AMR mitigation. As a vulnerable population, older people are at particular risk of poorer resistant infection outcomes. The aim of this study was to explore older people…
Applying machine-learning to rapidly analyze large qualitative text datasets to inform the Covid-19 pandemic response
Introduction: Machine-assisted topic analysis (MATA) uses artificial intelligence methods to help qualitative researchers analyze large datasets. This is useful for researchers to rapidly update healthcare interventions during changing healthcare contexts, such as a pandemic. We examined the potential to support healthcare interventions by comparing MATA with "human-only" thematic analysis techniques on the same dataset (1,472 user responses from…
Adapting Behavioral Interventions for a Changing Public Health Context
Background: A rigorous approach is needed to inform rapid adaptation and optimisation of behavioral interventions in evolving public health contexts, such as the Covid-19 pandemic. This helps ensure that interventions are relevant, persuasive, and feasible while remaining evidence-based. This paper provides a set of iterative methods to rapidly adapt and optimize an intervention during implementation. These methods are demonstrated through the ex…
Sin obras prominentes en esta página.
Adapting Behavioral Interventions for a Changing Public Health Context
Background: A rigorous approach is needed to inform rapid adaptation and optimisation of behavioral interventions in evolving public health contexts, such as the Covid-19 pandemic. This helps ensure that interventions are relevant, persuasive, and feasible while remaining evidence-based. This paper provides a set of iterative methods to rapidly adapt and optimize an intervention during implementation. These methods are demonstrated through the ex…
Applying machine-learning to rapidly analyze large qualitative text datasets to inform the Covid-19 pandemic response
Introduction: Machine-assisted topic analysis (MATA) uses artificial intelligence methods to help qualitative researchers analyze large datasets. This is useful for researchers to rapidly update healthcare interventions during changing healthcare contexts, such as a pandemic. We examined the potential to support healthcare interventions by comparing MATA with "human-only" thematic analysis techniques on the same dataset (1,472 user responses from…
Interpersonal psychological factors and asthma outcomes in romantic relationships
A qualitative evaluation of older people’s perceptions towards optimal diet management in the context of antimicrobial resistance
Antimicrobial Resistance (AMR) poses a significant global public health problem. The risk of developing a reservoir of antimicrobial resistant genes in the gut is reportedly higher with certain diets, rendering individual diet-related AMR management a largely untapped approach in AMR mitigation. As a vulnerable population, older people are at particular risk of poorer resistant infection outcomes. The aim of this study was to explore older people…
Computer Science (2 obras) · Health care (2 obras) · Public health (2 obras) · Qualitative research (2 obras) · Antibiotic resistance (1 obras) · Antibiotic Use and Resistance (1 obras) · Artificial Intelligence (1 obras) · Behavioral Health and Interventions (1 obras) · Biostatistics (1 obras) · Codebook (1 obras)