Related Experiment Video
Updated: Aug 29, 2025

Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs
Published on: April 9, 2021
Are Kenyans Likely to Use COVID-19 Self-Testing Kits? Results From a Cross-Sectional Survey
Griffins Manguro1, Sonjelle Shilton2, Sharon Omenda1
1International Centre for Reproductive Health Kenya, Mombasa, Kenya.
Abstract:
Objectives: To understand the public's perceptions around rapid SARS-CoV-2 antigen self-testing in Kenya, including the drivers of acceptability, willingness to pay, and adherence to hygiene and prevention recommendations following a positive self-test. Methods: A household-based, cross-sectional survey, using a 35-item questionnaire, was conducted in Mombasa and Taita-Taveta counties, Kenya, during August 2021. Individuals aged ≥18 years were enrolled using a stratified sampling approach. Results: There were 419 participants (mean age 35.7 years). A minority (10.5%) had ever tested for SARS-CoV-2. If SARS-CoV-2 self-testing were available, 39.9% and 41.5% would be likely and very likely, respectively, to use it. If unavailable free-of-charge, 63.01% would pay for it. Multivariate analyses suggested that people in rural areas (Coefficient 0.30, 95%CI: 0.11-0.48, p = 0.002), aged 36-55 (Coefficient 0.21, 95%CI: 0.03-0.40, p = 0.023), and employed full time (Coefficient 0.32, 95%CI: 0.06-0.58, p = 0.016) would have more odds to adhere to recommended hygiene and prevention actions. Conclusion: SARS-CoV-2 self-testing was considered acceptable. Availability of self-testing could expand access to COVID-19 testing in Kenya, particularly among rural communities who have limited access to testing, and among mildly symptomatic individuals.
More Related Videos
Related Concept Videos
Surveys
Survey Safety
Sample Proportion and Population Proportion
Types of Surveys
Testing a Claim about Population Proportion
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...

