Who Doesn’t Want to be Vaccinated? Determinants of Vaccine Hesitancy During COVID-19

Dabla‐Norris, Era; Sollaci, Alexandre; Lima, Frederico A.; Khan, Hibah

doi:10.5089/9781513573717.001

Cited by 14 publications

(8 citation statements)

References 32 publications

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“…For one thing, vaccine uptake was not made mandatory by the UK authority, but the decision on whether to get the jab was left to the individual. Arguably, such a decision is likely to be influenced by predetermined individual characteristics and tastes (Argote et al 2021;Dabla-Norris et al 2021;Borga et al 2022). For another thing, vaccine compliance is strongly influenced by the environment, that is, where and when this individual decision is taken.…”

Section: Empirical Strategymentioning

confidence: 99%

Safe at Last? Late Effects of a Mass Immunization Campaign on Households' Economic Insecurity

Belmonte

Pickard

2023

Review of Income and Wealth

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We study the effects of receiving immunization from COVID‐19 on households' economic insecurity. To provide causal estimates we use a fuzzy regression discontinuity design which takes advantage of the UK's immunization plan. The plan was primarily based on age, granting differential eligibility to proximate cohorts. Our estimated local average treatment effect indicates that the share of households who declared being economically insecure dropped by 41 percentage points among those who received the vaccine due to the eligibility criteria. Using a difference‐in‐discontinuity design we next document that immunization was more salient for women as well as for large households and those with children. Our results suggest that the mass immunization campaign against COVID‐19 had relevant short‐run economic effects, well beyond its expected impact on people's health.

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Section: Empirical Strategymentioning

confidence: 99%

Safe at Last? Late Effects of a Mass Immunization Campaign on Households' Economic Insecurity

Belmonte

Pickard

2023

Review of Income and Wealth

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“…The existing studies indicate the various range of factors that contribute to the COVID-19 mortality which includes gender (23,24), hesitancy of being vaccinated (15,25), age (6,10,21,22,(26)(27)(28)(29)(30)(31)(32)(33), environmental, demographic factors, population density, biological and healthcare related factors (2,3,16), race (12,(18)(19)(20)34), international travel (17), and pre-existing morbidity (7)(8)(9)(35)(36)(37)(38).…”

Section: Literature Reviewmentioning

confidence: 99%

Do Old Age and Comorbidity via Non-Communicable Diseases Matter for COVID-19 Mortality? A Path Analysis

Goswami

Mahapatro

Ali³

et al. 2021

Front. Public Health

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This paper used Our World data for coronavirus disease-2019 (COVID-19) death count, test data, stringency, and transmission count and prepared a path model for COVID-19 deaths. We augmented the model with age structure-related variables and comorbidity via non-communicable diseases for 117 countries of the world for September 23, 2021, on a cross-section basis. A broad-based global quantitative study incorporating these two prominent channels with regional variation was unavailable in the existing literature. Old age and comorbidity were identified as two prime determinants of COVID-19 mortality. The path model showed that after controlling for these factors, one SD increase in the proportion of persons above 65, above 70, or of median age raised COVID-19 mortality by more than 0.12 SDs for 117 countries. The regional intensity of death is alarmingly high in South America, Europe, and North America compared with Oceania. After controlling for regions, the figure was raised to 0.213, which was even higher. For old age, the incremental coefficient was the highest for South America (0.564), and Europe (0.314), which were substantially higher than in Oceania. The comorbidity channel via non-communicable diseases illustrated that one SD increase in non-communicable disease intensity increased COVID-19 mortality by 0.132 for the whole sample. The regional figure for the non-communicable disease was 0.594 for South America and 0.358 for Europe compared with the benchmark region Oceania. The results were statistically significant at a 10% level of significance or above. This suggested that we should prioritize vaccinations for the elderly and people with comorbidity via non-communicable diseases like heart disease, cancer, chronic respiratory disease, and diabetes. Further attention should be given to South America and Europe, which are the worst affected regions of the world.

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“…Using this accumulated data, the study also revealed through it's SIR model, that the present, and future rates of vaccine hesitancy can severely impact the future trajectory of COVID-19 case counts, and subsequently, restrictions to mitigate the spread. This model forecasted, with the current rates of vaccine refusal, and hesitancy, that the count of cases, as well as deaths, and hospitalizations, will rise in the coming fall/winter months (Khan, 2021).…”

Section: Vaccine Development and Availabilitymentioning

confidence: 99%

An Analysis of the Determinants of Vaccine Hesitancy. Can the World Learn from the US Experience?

Kahai¹,

Herrington²,

Folino³

2021

IBES

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While efforts to vaccinate the general public have been trending in a positive direction, Vaccine Hesitancy is a global issue. Many infectious disease physicians, epidemiologists, and Public Health Authorities fear that Vaccine Hesitancy will indefinitely prolong the pandemic, as the Delta Variant currently ravages through the unvaccinated population. In an attempt to understand this global phenomenon, we looked at the United States’ vaccine rollout. In particular, we examined the determinants of vaccine hesitancy in the USA. Our empirical model reveals that Vaccine Hesitancy is significantly impacted by factors such as Median Income, Political Affiliation, Percentage of population that is White/Caucasian, Total Cases, Individuals without Health Insurance, and Education level. We use data from all 50 states in the US. Policy makers in other countries can greatly benefit from the findings of our empirical results. Some incentive structures should be introduced as quickly as possible to achieve a high vaccination rate in the country. Our goal is to use the United State’s experience of Vaccine Hesitancy as a baseline of sorts for the greater global community to understand, and reduce hesitancy in their vaccine rollouts.

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Who Doesn’t Want to be Vaccinated? Determinants of Vaccine Hesitancy During COVID-19

Cited by 14 publications

References 32 publications

Safe at Last? Late Effects of a Mass Immunization Campaign on Households' Economic Insecurity

Safe at Last? Late Effects of a Mass Immunization Campaign on Households' Economic Insecurity

Do Old Age and Comorbidity via Non-Communicable Diseases Matter for COVID-19 Mortality? A Path Analysis

An Analysis of the Determinants of Vaccine Hesitancy. Can the World Learn from the US Experience?

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