Global pattern and determinants of coronavirus disease 2019 (COVID-19) vaccine coverage and progression: a global ecological study

Wang, Huihao; Yu, Bin; Chen, Xinguang; Yan, Hong

doi:10.1016/j.glohj.2023.02.003

Cited by 6 publications

(2 citation statements)

References 26 publications

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“…This may be because affluent countries have well developed health systems compared to those of developing countries [ 180 ]. Hence, people in rich countries trust their health system and will easily accept the vaccine whereas the health system in poor countries is not reliable, leading to mistrust, low VA, and high VH [ 184 , 185 , 186 , 187 ].…”

Section: Discussionmentioning

confidence: 99%

Quantitative Synthesis of Factors Associated with COVID-19 Vaccine Acceptance and Vaccine Hesitancy in 185 Countries

Dinga,

Kabakama,

Njimoh

et al. 2023

Vaccines

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Mass vaccination against COVID-19 is the best method to ensure herd immunity in order to curb the effect of the pandemic on the global economy. It is therefore important to assess the determinants of COVID-19 vaccine acceptance and hesitancy on a global scale. Factors were recorded from cross-sectional studies analyzed with t-Test, ANOVA, correlation, and meta-regression analyses and synthesized to identify global trends in order to inform policy. We registered the protocol (ID: CRD42022350418) and used standard Cochrane methods and PRISMA guidelines to collect and synthesize cross-sectional articles published between January 2020 and August 2023. A total of 67 articles with 576 studies from 185 countries involving 3081,766 participants were included in this synthesis. Global COVID-19 vaccine acceptance was 65.27% (95% CI; 62.72–67.84%), while global vaccine hesitancy stood at 32.1% (95% CI; 29.05–35.17%). One-Way ANOVA showed that there was no significant difference in the percentage Gross Domestic Product spent on vaccine procurement across the World Bank income levels (p < 0.187). There was a significant difference of vaccine acceptance (p < 0.001) and vaccine hesitancy (p < 0.005) across the different World Bank Income levels. World Bank income level had a strong influence on COVID-19 vaccine acceptance (p < 0.0004) and hesitancy (p < 0.003) but percentage Gross Domestic Product spent on vaccine procurement did not. There was no correlation between percentage Gross Domestic Product spent on vaccine procurement and COVID-19 vaccine acceptance (r = −0.11, p < 0.164) or vaccine hesitancy (r = −0.09, p < 0.234). Meta-regression analysis showed that living in an urban setting (OR = 4.83, 95% CI; 0.67–212.8), rural setting (OR = 2.53, 95% CI; 0.29–119.33), older (OR = 1.98, 95% CI; 0.99–4.07), higher education (OR = 1.76, 95% CI; 0.85–3.81), and being a low income earner (OR = 2.85, 95% CI; 0.45–30.63) increased the odds of high COVID-19 vaccine acceptance. Factors that increased the odds of high COVID-19 vaccine hesitancy were no influenza vaccine (OR = 33.06, 95% CI; 5.03–1395.01), mistrust for vaccines (OR = 3.91, 95% CI; 1.92–8.24), complacency (OR = 2.86, 95% CI; 1.02–8.83), pregnancy (OR = 2.3, 95% CI; 0.12–141.76), taking traditional herbs (OR = 2.15, 95% CI; 0.52–10.42), being female (OR = 1.53, 95% CI; 0.78–3.01), and safety concerns (OR = 1.29, 95% CI; 0.67–2.51). We proposed a number of recommendations to increase vaccine acceptance and ensure global herd immunity against COVID-19.

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Section: Discussionmentioning

confidence: 99%

Quantitative Synthesis of Factors Associated with COVID-19 Vaccine Acceptance and Vaccine Hesitancy in 185 Countries

Dinga,

Kabakama,

Njimoh

et al. 2023

Vaccines

View full text Add to dashboard Cite

show abstract

“…The data on the dynamics of the pandemic and COVID-19 vaccine rollout come from Our World in Data.14 Our World in Data is a global public dataset that tracks the scale and rate of the COVID-19 pandemic across countries worldwide. The dataset is widely used in recent papers regarding the impacts of COVID-19 vaccinations (Benati & Coccia, 2022;Mathieu et al, 2021;Wang et al, 2023). The data on COVID-19 vaccinations started on December 18, 2020, based on the first day of vaccination data recorded for Norway in the dataset.…”

Section: Data Sourcesmentioning

confidence: 99%

Stabilizing global foreign exchange markets in the time of COVID-19: The role of vaccinations

Pham,

Nguyen,

2024

Global Finance Journal

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COVID-19 vaccination and infection status: a cross-sectional survey of patients with rheumatic diseases in China

Chen,

Huang,

Geng

et al. 2023

Rheumatol Int

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Global pattern and determinants of coronavirus disease 2019 (COVID-19) vaccine coverage and progression: a global ecological study

Cited by 6 publications

References 26 publications

Quantitative Synthesis of Factors Associated with COVID-19 Vaccine Acceptance and Vaccine Hesitancy in 185 Countries

Quantitative Synthesis of Factors Associated with COVID-19 Vaccine Acceptance and Vaccine Hesitancy in 185 Countries

Stabilizing global foreign exchange markets in the time of COVID-19: The role of vaccinations

COVID-19 vaccination and infection status: a cross-sectional survey of patients with rheumatic diseases in China

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