Attribute nonattendance in COVID-19 vaccine choice: A discrete choice experiment based on Chinese public preference.

ABSTRACT:

Objectives

The global coronavirus disease 2019 (COVID-19) pandemic has not been well controlled, and vaccination could be an effective way to prevent this pandemic. By accommodating attribute nonattendance (ANA) in a discrete choice experiment (DCE), this paper aimed to examine Chinese public preferences and willingness to pay (WTP) for COVID-19 vaccine attributes, especially the influence of ANA on the estimated results.

Methods

A DCE was designed with four attributes: effectiveness, protection period, adverse reactions and price. A random parameter logit model with an error component (RPL-EC) was used to analyse the heterogeneity of respondents' preferences for COVID-19 vaccine attributes. Two equality constraint latent class (ECLC) models were used to consider the influen

SUBMITTER: Xiao J 

PROVIDER: S-EPMC9122444 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature