Willingness to pay for and willingness to vaccinate with the COVID-19 vaccine booster dose in China

Zhou, Hui; Pan, Lei; Shi, Hui; Luo, Ji Wei; Wang, Pei; Porter, Hannah K.; Bi, Yang; Li, Minghui

doi:10.3389/fphar.2022.1013485

Cited by 10 publications

(15 citation statements)

References 33 publications

(66 reference statements)

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“…We considered that the costs of vaccines could potentially act as a financial barrier to vaccination. This was particularly relevant for individuals who experience financial constraints or have a low household income [ 41 – 43 ]. Vaccination costs might increase disparities in access and raise concerns about equity and fairness.…”

Section: Discussionmentioning

confidence: 99%

Factors influencing Thai university students’ decisions to take COVID-19 vaccine booster doses: a cross-sectional survey

Thichumpa,

Yimthin,

Ratchatorn

et al. 2024

Trop Med Health

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Background We aimed to describe the acceptance of COVID-19 vaccine booster doses and factors influencing this among Thai university students. Methods A cross-sectional survey was conducted between July and September 2022. All university students in Thailand were eligible to participate. We explored the acceptance rate of COVID-19 vaccine booster doses and regular vaccines (if available) among university students. Associations between factors influencing the acceptance of vaccination were analyzed by multiple logistic regression analysis. Results A total of 322 participants were surveyed (78.9% female, age 18 to 49 years (mean = 22.6, standard deviation = 5.47)). Most participants (85.7%) were undergraduate students (Bachelor level), and a proportion (84.8%) had a background in health sciences studies. The proportions who accepted booster doses and regular vaccines were 52.8% and 69.3%, respectively. Vaccine accessibility was found to be significantly associated with the acceptance of booster doses (adjusted odds ratio (AOR) = 2.77, 95% confidence interval (CI) = 1.10–6.97), while the availability of scientific evidence (AOR = 3.44, 95% CI = 1.21–9.77) was significantly associated with the acceptance of regular vaccines. Conclusions This study contributes to addressing the knowledge gap regarding acceptance of COVID-19 vaccine booster doses among university students in Thailand. Our findings revealed that vaccine accessibility and the availability of scientific evidence, as well as vaccination costs, influenced individuals’ decisions around accepting vaccine booster doses. Further research should focus on the dynamics of vaccine acceptance to facilitate the development of targeted strategies and support vaccination policymaking in Thailand.

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Section: Discussionmentioning

confidence: 99%

Factors influencing Thai university students’ decisions to take COVID-19 vaccine booster doses: a cross-sectional survey

Thichumpa,

Yimthin,

Ratchatorn

et al. 2024

Trop Med Health

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“…Individuals aged between 41–50, highly educated and earning more than 10 million IDR were willing to spend more for booster doses of COVID-19 vaccines. As mentioned earlier, WTP is influenced by factors such as age, education level, and monthly income, according to numerous studies [ 14 , 17 , 50 , 54 ]. More knowledge of the danger of COVID-19 can be ascribed to age and education, with lower levels of complacency linked to higher acceptance of vaccination [ 16 ].…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, in this study, individuals older than 40 years showed higher WTP, which can be linked to higher perceived threats due to previous evidence showing that older individuals are at higher risk of developing severe disease with higher risk of mortality [ 57 , 58 ]. Thus, it is understandable to observe higher willing to receive the vaccine among individuals who are aware that COVID-19 can be a serious disease [ 54 , 59 ], with subsequent higher willingness to pay for the vaccine even if it is slightly more expensive. A higher WTP tendency increase was also previously linked with higher monthly income [ 17 , 50 ].…”

Section: Discussionmentioning

confidence: 99%

Willingness to Pay (WTP) for COVID-19 Vaccine Booster Dose and Its Determinants in Indonesia

Harapan

Sallam

Fathima

et al. 2022

Infectious Disease Reports

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Willingness to pay (WTP) for booster doses of coronavirus disease 2019 (COVID-19) vaccines is an under studied research topic. Therefore, the current study aimed to investigate the WTP for the booster doses of COVID-19 vaccines and its predictors in Indonesia using an online survey distributed all over the provinces of this low-middle-income country. The WTP was evaluated using a basic dichotomous contingent valuation approach, and its associated determinants were evaluated using a linear regression model. Out of 2935 responders, 66.2% (1942/2935) were willing to pay for a booster dose of the COVID-19 vaccine. The majority of respondents (63.5%) were willing to pay within a price range of 100,000–500,000 Indonesian rupiah (IDR), i.e., USD 6.71–33.57. Being older than 40 years, having a higher educational level, having a higher income, knowing and understanding that booster doses were important, and having a vaccine status that is certified halal (permissible in Islamic law), were all associated with a higher WTP for the booster dose of COVID-19 vaccines. The study findings imply that the WTP for a booster dose of COVID-19 vaccination in Indonesia is lower compared to acceptance of vaccines provided free of charge. This WTP data can be utilized to develop a pricing scheme for the booster doses of COVID-19 vaccination in the country with potential benefits in other low-income countries. The government may be required to provide subsidies for the herd immunity vaccination process to proceed as anticipated. Furthermore, the public community must be educated on the importance of vaccination as well as the fact that the COVID-19 epidemic is far from being over.

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“…Third, the contingent valuation method (CVM) strives to elicit the maximum amount of money each person affected by a public health programme would be prepared to pay to reduce their risk of morbidity or death from a specific cause [34][35][36], e.g., COVID-19. For example, Zhou et al [37] employed CVM to assess willingness-to-pay (WTP) among 543 participants in China for the COVID-19 vaccine booster dose. Cerda and García [38] conducted a double-bounded dichotomous choice questionnaire survey among 531 participants to estimate the WTP for a COVID-19 vaccine in Chile.…”

Section: Model For Estimating the Total Present Value Of Human Life L...mentioning

confidence: 99%

The present value of human life losses associated with COVID-19 and likely productivity losses averted through COVID-19 vaccination in Madagascar

MUSANGO,

MANDROSOVOLOLONA,

Fidiniaina

et al. 2023

Preprint

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Background As of 3 March 2023, Madagascar had conducted 525,461 COVID-19 tests, which revealed a total of 67,865 cases, comprising 66,433 recovered cases, ten active cases, and 1,422 deaths. To date, no study has attempted to estimate the total present value of human lives lost $\left({TPVHL}_{MADAGASCAR}\right)$, productivity losses, and potential total productivity losses (or indirect costs) averted through COVID-19 vaccination for use in advocacy. The study reported in this paper attempted to bridge those information gaps. Methods A human capital model (HCM) was used to estimate the ${TPVHL}_{MADAGASCAR}$, i.e., sum of the discounted value of human life losses amongst persons in seven age groups $\left({PVHL}_{i}\right)$: 1 = under 5 years, 2 = 5 to 14 years, 3 = 15 to 24 years, 4 = 25 to 34 years, 5 = 35 to 44 years, 6 = 45 to 59 years, and 7 = 60 years and older. Each age group ${PVHL}_{i=1,\dots ,7}$ was obtained through the multiplication of discount factor, undiscounted year of life, non-health gross domestic product (GDP) per capita, and age group’s number of COVID-19 deaths. To test the robustness of the results, the HCM was re-run five times, assuming (i) a 5% discount rate, (ii) a 10% discount rate, (iii) Africa’s highest average life expectancy at birth of 78.76 years (Algeria females), (iv) the world highest life expectancy of 88.17 years (Hong Kong females), and (v) projected excess COVID-19 mortality of 11,418.66. The projections of productivity losses averted through COVID-19 vaccination were done assuming 100%, 70%, 52.4%, and 8.266% coverage. Results The 1,422 human lives lost due to COVID-19 had a ${TPVHL}_{MADAGASCAR}$ of Int$ 46,485,587.15; and a mean of Int$ 32,690.28 per human life. Re-run of the model with (i) discount rates of 5% and 10% reduced ${TPVHL}_{MADAGASCAR}$ by 23.26% and 53%, respectively; (ii) average life expectancies of 78.76 years and 88.17 years grew ${TPVHL}_{MADAGASCAR}$ by 23.72% and 39.49%, respectively; (iii) projected excess COVID-19 mortality of 11,418.66 augmented ${TPVHL}_{MADAGASCAR}$ by 703%. Vaccinating 70% of the target population could potentially save the country Int$ 965,088,931 (1.71% of GDP). Conclusions COVID-19 pandemic has cost Madagascar substantive health and productivity losses. Potentially, the losses could be significantly reduced by optimizing COVID-19 vaccination coverage of the target population.

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Willingness to pay for and willingness to vaccinate with the COVID-19 vaccine booster dose in China

Cited by 10 publications

References 33 publications

Factors influencing Thai university students’ decisions to take COVID-19 vaccine booster doses: a cross-sectional survey

Factors influencing Thai university students’ decisions to take COVID-19 vaccine booster doses: a cross-sectional survey

Willingness to Pay (WTP) for COVID-19 Vaccine Booster Dose and Its Determinants in Indonesia

The present value of human life losses associated with COVID-19 and likely productivity losses averted through COVID-19 vaccination in Madagascar

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