Challenges Faced in Large-Scale Nucleic Acid Testing during the Sudden Outbreak of the B.1.617.2 (Delta)

Pingting Zhu, Meiyan Qian, Qiwei Wu and Xinyi Liu
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Pingting Zhu: School of Nursing, Yangzhou University, Yangzhou 225009, China
Meiyan Qian: School of Nursing, Yangzhou University, Yangzhou 225009, China
Qiwei Wu: School of Nursing, Yangzhou University, Yangzhou 225009, China
Xinyi Liu: School of Nursing, Yangzhou University, Yangzhou 225009, China

IJERPH, 2022, vol. 19, issue 3, 1-16

Abstract: The Delta variant (B.1.617.2) has dominated in many countries over the world. Its sudden outbreak in China has led the government to quickly carry out large-scale nucleic acid testing to curb its spread. This qualitative study aims to find the challenges based on empirical evidence from the perspectives of the different groups of people involved in the testing, and further explore possible strategies to improve the efficiency of large-scale nucleic acid testing. Using a phenomenological approach, we selected 35 participants (seven managers, eight health professionals, six community volunteers and 14 residents) by purposive sampling. The interviews were conducted by in-depth semi-structured interviews and the data were analyzed by Colaizzi’s seven-step method. Qualitative analysis revealed three main themes: unreasonable and unsafe testing points layout settings, human and medical resources challenges, and potential infection risk. From the different angles, participants all experienced challenges during large-scale nucleic acid testing, making positive planning and adequate preparation important parts of the smooth development of testing. Large-scale nucleic acid testing relies on the cooperation and efforts of all to support containment of the spread of the virus. Local governments should improve their ability to respond to and deal with public health emergencies.

Keywords: nucleic acid testing; challenges; the B.1.617.2 variant; COVID-19; qualitative research; diagnostic testing (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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