Richard Afriyie Owusu
Biographic Data
| ID | 6412960 |
|---|---|
| NAME | Richard Afriyie Owusu |
| GIVEN NAMES | Richard Afriyie |
| FAMILY NAME | Owusu |
| SIGNATURE | OWUSU R A |
| AFFILIATIONS | Ghana Health Service |
| ORCID | 0000-0001-5182-5203 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 6 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Improving the specimen referral system in Ghana
Introduction: Ghana's specimen referral system (SRS) is driven by vertical surveillance programs and outbreak response events; the lack of integration limits public health disease surveillance capacity. We assessed the current state of the SRS, the existence of biosafety, biosecurity guidelines, and the turnaround time (TAT) from sample collection to result return. Methods: We conducted a cross-sectional survey using the African Society for Labor…
Which UGC features drive web purchase intent? A spike-and-slab Bayesian Variable Selection Approach
Purpose – The purpose of this paper is to identify user-generated content (UGC) features that determine web purchase decision making. Design/methodology/approach – The authors embed a spike-and-slab Bayesian variable selection mechanism into a logistic regression model to identify the UGC features that are critical to web purchase intent. This enables us to make a highly reliable analysis of survey data. Findings – The results indicate that the w…
Which UGC features drive web purchase intent? A spike-and-slab Bayesian Variable Selection Approach
Purpose – The purpose of this paper is to identify user-generated content (UGC) features that determine web purchase decision making. Design/methodology/approach – The authors embed a spike-and-slab Bayesian variable selection mechanism into a logistic regression model to identify the UGC features that are critical to web purchase intent. This enables us to make a highly reliable analysis of survey data. Findings – The results indicate that the w…
Which UGC features drive web purchase intent? A spike-and-slab Bayesian Variable Selection Approach
Purpose – The purpose of this paper is to identify user-generated content (UGC) features that determine web purchase decision making. Design/methodology/approach – The authors embed a spike-and-slab Bayesian variable selection mechanism into a logistic regression model to identify the UGC features that are critical to web purchase intent. This enables us to make a highly reliable analysis of survey data. Findings – The results indicate that the w…
Improving the specimen referral system in Ghana
Introduction: Ghana's specimen referral system (SRS) is driven by vertical surveillance programs and outbreak response events; the lack of integration limits public health disease surveillance capacity. We assessed the current state of the SRS, the existence of biosafety, biosecurity guidelines, and the turnaround time (TAT) from sample collection to result return. Methods: We conducted a cross-sectional survey using the African Society for Labor…
Advertising (1 work) · Artificial Intelligence (1 work) · Bacillus and Francisella bacterial research (1 work) · Bayesian probability (1 work) · Business (1 work) · Computer Science (1 work) · Consumer Behavior in Brand Consumption and Identification (1 work) · Consumer Market Behavior and Pricing (1 work) · Context (archaeology (1 work) · Credibility (1 work)