scholarly journals Socioeconomic gradient in COVID-19 vaccination: evidence from Israel

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Mor Saban ◽  
Vicki Myers ◽  
Shani Ben-Shetrit ◽  
Rachel Wilf-Miron
Keyword(s):  
Low Socioeconomic Status ◽  
Vaccine Dose ◽  
Vaccination Rate ◽  
Vaccine Uptake ◽  
Arab Population ◽  
Low Socioeconomic ◽  
Vaccination Rates ◽  
Disadvantaged Communities ◽  
Socioeconomic Gradient ◽  
Neighborhood Ses

Abstract Background Low socioeconomic status (SES) groups have been disproportionately affected by the COVID-19 pandemic. We aimed to examine COVID-19 vaccination rate by neighborhood SES and ethnicity in Israel, a country which has achieved high vaccination rates. Methods Data on vaccinations were obtained from the Israeli Ministry of Health’s open COVID-19 database, for December 20, 2020 to August 31, 2021. Correlation between vaccination rate and neighborhood SES was analyzed. Difference in vaccination rate between the first and second vaccine dose was analyzed by neighborhood SES and ethnicity. Findings A clear socioeconomic gradient was demonstrated, with higher vaccination rates in the higher SES categories (first dose: r = 0.66; second dose: r = 0.74; third dose: r = 0.92). Vaccination uptake was lower in the lower SES groups and in the Arab population, with the largest difference in uptake between Jewish and Arab localities for people younger than 60, and with the gap widening between first and third doses. Conclusions Low SES groups and the Arab ethnic minority demonstrated disparities in vaccine uptake, which were greater for the second and third, compared with the first vaccine dose. Strategies to address vaccination inequity will need to identify barriers, provide targeted information, and include trust-building in disadvantaged communities.

scholarly journals Higher COVID-19 vaccination rates are linked to decreased county-level COVID-19 incidence across USA

2021 ◽  
Author(s):  
Arjun Puranik ◽  
AJ Venkatakrishnan ◽  
Colin Pawlowski ◽  
Bharathwaj Raghunathan ◽  
Eshwan Ramudu ◽  
...  
Keyword(s):  
Incidence Rate ◽  
Vaccine Efficacy ◽  
Vaccine Dose ◽  
The United States ◽  
Vaccination Rate ◽  
Incidence Rates ◽  
P Value ◽  
County Level ◽  
Vaccination Rates ◽  
The Impact

Real world evidence studies of mass vaccination across health systems have reaffirmed the safety1 and efficacy2,3 of the FDA-authorized mRNA vaccines for COVID-19. However, the impact of vaccination on community transmission remains to be characterized. Here, we compare the cumulative county-level vaccination rates with the corresponding COVID-19 incidence rates among 87 million individuals from 580 counties in the United States, including 12 million individuals who have received at least one vaccine dose. We find that cumulative county-level vaccination rate through March 1, 2021 is significantly associated with a concomitant decline in COVID-19 incidence (Spearman correlation ρ = −0.22, p-value = 8.3e-8), with stronger negative correlations in the Midwestern counties (ρ = −0.37, p-value = 1.3e-7) and Southern counties (ρ = −0.33, p-value = 4.5e-5) studied. Additionally, all examined US regions demonstrate significant negative correlations between cumulative COVID-19 incidence rate prior to the vaccine rollout and the decline in the COVID-19 incidence rate between December 1, 2020 and March 1, 2021, with the US western region being particularly striking (ρ = −0.66, p-value = 5.3e-37). However, the cumulative vaccination rate and cumulative incidence rate are noted to be statistically independent variables, emphasizing the need to continue the ongoing vaccination roll out at scale. Given confounders such as different coronavirus restrictions and mask mandates, varying population densities, and distinct levels of diagnostic testing and vaccine availabilities across US counties, we are advancing a public health resource to amplify transparency in vaccine efficacy monitoring (https://public.nferx.com/covid-monitor-lab/vaccinationcheck). Application of this resource highlights outliers like Dimmit county (Texas), where infection rates have increased significantly despite higher vaccination rates, ostensibly owing to amplified travel as a “vaccination hub”; as well as Henry county (Ohio) which encountered shipping delays leading to postponement of the vaccine clinics. This study underscores the importance of tying the ongoing vaccine rollout to a real-time monitor of spatio-temporal vaccine efficacy to help turn the tide of the COVID-19 pandemic.

scholarly journals COVID-19 Vaccination Rates in a Cohort Study of Patients With Mental Illness in Residential and Community Care

2021 ◽  
Vol 12 ◽  
Author(s):  
Victor Mazereel ◽  
Tom Vanbrabant ◽  
Franciska Desplenter ◽  
Johan Detraux ◽  
Livia De Picker ◽  
...  
Keyword(s):  
Mental Illness ◽  
Logistic Regression ◽  
Care Center ◽  
Psychosocial Care ◽  
Vaccination Rate ◽  
Vaccine Uptake ◽  
Negative Consequences ◽  
Vaccination Rates ◽  
People With Mental Illness ◽  
Increased Risk

Background: Patients with mental illness are at increased risk for COVID-19-related morbidity and mortality. Vaccination against COVID-19 is important to prevent or mitigate these negative consequences. However, concerns have been raised over vaccination rates in these patients.Methods: We retrospectively examined vaccine uptake in a large sample of Belgian patients admitted to or residing in a university psychiatric hospital or community mental health care setting between 29th of March 2021 and 30th of September 2021 in the Flanders Region. All patients were offered vaccination. Descriptive statistics were used to analyse the data. Logistic regression was used to examine factors associated with vaccine uptake.Results: 2,105 patients were included in the sample, of which 1,931 agreed to be vaccinated, corresponding with a total vaccination rate of 91.7%. Logistic regression showed an effect of the diagnosis “other disorders” (OR = 0.08, CI = 0.005–0.45), age (OR = 1.03, CI = 1.02–1.04) and residing in the psychosocial care center (OR = 0.50, CI = 0.32–0.80) on vaccination status.Conclusion: Vaccine uptake among people with mental illness is high and comparable to the general population, when implementing a targeted vaccination program.

scholarly journals Mobility network reveals the impact of geographic vaccination heterogeneity on COVID-19

2021 ◽  
Author(s):  
Yuan Yuan ◽  
Eaman Jahani ◽  
Shengjia Zhao ◽  
Yong-Yeol Ahn ◽  
Alex Pentland
Keyword(s):  
Computational Models ◽  
Negative Impact ◽  
Vaccination Campaign ◽  
Vaccination Rate ◽  
Control Measures ◽  
Vaccine Uptake ◽  
Vaccination Rates ◽  
The Impact ◽  
Hub Effect ◽  
The U.S

ABSTRACTMassive vaccination is one of the most effective epidemic control measures. Because one’s vaccination decision is shaped by social processes (e.g., socioeconomic sorting and social contagion), the pattern of vaccine uptake tends to show strong social and geographical heterogeneity, such as urban-rural divide and clustering. Yet, little is known to what extent and how the vaccination heterogeneity affects the course of outbreaks. Here, leveraging the unprecedented availability of data and computational models produced during the COVID-19 pandemic, we investigate two network effects—the “hub effect” (hubs in the mobility network usually have higher vaccination rates) and the “homophily effect” (neighboring places tend to have similar vaccination rates). Applying Bayesian deep learning and fine-grained simulations for the U.S., we show that stronger homophily leads to more infections while a stronger hub effect results in fewer cases. Our simulation estimates that these effects have a combined net negative impact on the outcome, increasing the total cases by approximately 10% in the U.S. Inspired by these results, we propose a vaccination campaign strategy that targets a small number of regions to further improve the vaccination rate, which can reduce the number of cases by 20% by only vaccinating an additional 1% of the population according to our simulations. Our results suggest that we must examine the interplay between vaccination patterns and mobility networks beyond the overall vaccination rate, and that the government may need to shift policy focus from overall vaccination rates to geographical vaccination heterogeneity.

scholarly journals How Large Fraction of A Population Must be Vaccinated before A Disease is Controlled?

2022 ◽  
Author(s):  
Robin Halamicek ◽  
Dirk W Schubert ◽  
Fritjof Nilsson
Keyword(s):  
Vaccine Coverage ◽  
Large Fraction ◽  
Vaccine Dose ◽  
Vaccination Rate ◽  
Basic Reproduction Ratio ◽  
Mathematical Equation ◽  
Reproduction Ratio ◽  
Vaccination Rates ◽  
Crucial Question ◽  
Modelling Study

Abstract The ongoing Covid-19 pandemic has already caused more than 5 million casualties despite hard restrictions and relatively high vaccine coverage in many countries. The crucial question is therefore, how large vaccination rate and how severe restrictions are required to terminate the spread of the decease, assuming that the vaccine efficiency and the basic reproduction ratio (R0) are known? To answer this question, a mathematical equation was applied to visualize the required vaccination level as function of vaccine efficiency, restriction efficiency and basic reproduction ratio (R0). In addition to the modelling study, Covid-19 data from Europe was collected during 19/11-26/11 (2021) to assess the relation between vaccination rate and incidence. The analysis indicates that a vaccination rate of ~92% (2 doses) is required to stop Delta (B.1.617.2) without severe restrictions, under conditions like those in Europe late November 2021. A third vaccine dose, improved vaccines, higher vaccination rates and/or stronger restrictions will be required to force Omicron (B.1.1.529) to expire without infecting a large fraction of the population.

scholarly journals Mobility network reveals the impact of spatial vaccination heterogeneity on COVID‐19

2021 ◽  
Author(s):  
Yuan Yuan ◽  
Eaman Jahani ◽  
Shengjia Zhao ◽  
Yong-Yeol Ahn ◽  
Alex Pentland
Keyword(s):  
Computational Models ◽  
Network Effects ◽  
Vaccination Campaign ◽  
Vaccination Rate ◽  
Control Measures ◽  
Vaccine Uptake ◽  
Vaccination Rates ◽  
Fine Grained ◽  
Mobility Data ◽  
The Impact

Abstract Massive vaccination is one of the most effective epidemic control measures. Because one’s vaccination decision is shaped by social processes (e.g., socioeconomic sorting and social contagion), the pattern of vaccine uptake tends to show strong social and spatial heterogeneity, such as urban-rural divide and clustering. Examining through network perspectives, here we quantify the impact of spatial vaccination heterogeneity on COVID outbreaks and offer policy recommendations on location-based vaccination campaigns. Leveraging fine-grained mobility data and computational models, we investigate two network effects—the “hub effect” (hubs in the mobility network usually have higher vaccination rates) and the “homophily effect” (neighboring places tend to have similar vaccination rates). Applying Bayesian deep learning and fine-grained epidemic simulations, we show a negative effect of homophily and a positive effect of highly vaccinated hubs on reducing COVID-19 case counts; these two effects are estimated to jointly increase the total cases by approximately 10% in the U.S. Moreover, inspired by these results, we propose a vaccination campaign strategy that targets a small number of regions with the largest gain in protective power. Our simulation shows that we can reduce the number of cases by 20% by only vaccinating an additional 1% of the population. Our study suggests that we must examine the interplay between vaccination patterns and mobility networks beyond the overall vaccination rate, and that accurate location-based targeting can be equally if not more important than improving the overall vaccination rate.

scholarly journals Predictors of COVID-19 Vaccination among Veterans Experiencing Homelessness

Vaccines ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1268
Author(s):  
Michelle D. Balut ◽  
Karen Chu ◽  
June L. Gin ◽  
Aram Dobalian ◽  
Claudia Der-Martirosian
Keyword(s):  
Service Providers ◽  
Strong Association ◽  
Vaccination Rate ◽  
Vaccine Uptake ◽  
Homeless Population ◽  
Department Of Veterans Affairs ◽  
Vaccination Rates ◽  
Homeless Veterans ◽  
Health Related ◽  
Housing Services

Sufficient uptake of the COVID-19 vaccine is key to slowing the spread of the coronavirus among the most vulnerable in society, including individuals experiencing homelessness. However, COVID-19 vaccination rates among the Veteran homeless population are currently unknown. This study examines the COVID-19 vaccination rate among homeless Veterans who receive care at the U.S. Department of Veterans Affairs (VA), and the factors that are associated with vaccine uptake. Using VA administrative and clinical data, bivariate and multivariate analyses were conducted to identify the sociodemographic, health-related, and healthcare and housing services utilization factors that influenced COVID-19 vaccine uptake during the first eight months of the vaccine rollout (December 2020–August 2021). Of the 83,528 Veterans experiencing homelessness included in the study, 45.8% were vaccinated for COVID-19. Non-white, older Veterans (65+), females, those who received the seasonal flu vaccine, and Veterans with multiple comorbidities and mental health conditions were more likely to be vaccinated. There was a strong association between COVID-19 vaccination and Veterans who utilized VA healthcare and housing services. VA healthcare and homeless service providers are particularly well-positioned to provide trusted information and overcome access barriers for homeless Veterans to receive the COVID-19 vaccine.

scholarly journals How Large Fraction of A Population Must be Vaccinated before A Disease is Controlled?

2022 ◽  
Author(s):  
Robin Halamicek ◽  
Dirk W Schubert ◽  
Fritjof Nilsson
Keyword(s):  
Vaccine Coverage ◽  
Large Fraction ◽  
Vaccine Dose ◽  
Vaccination Rate ◽  
Basic Reproduction Ratio ◽  
Mathematical Equation ◽  
Reproduction Ratio ◽  
Vaccination Rates ◽  
Crucial Question ◽  
Europe Today

Abstract The ongoing Covid-19 pandemic has already caused more than 5 million casualties despite hard restrictions and relatively high vaccine coverage in many countries. The crucial question is therefore, how large vaccination rate and how severe restrictions are required to terminate the spread of the decease, assuming that the vaccine efficiency and the basic reproduction ratio (R0) are known? To answer this question, a simple mathematical equation was developed to visualize the required vaccination level as function of vaccine efficiency, restriction efficiency and basic reproduction ratio (R0). In addition to the modelling study, Covid-19 data from Europe was collected during 19/11-26/11 (2021) to assess the relation between vaccination rate and incidence. The analysis indicates that a vaccination rate of ~92% (2 doses) is currently required to stop Delta (B.1.617.2) without severe restrictions, using the vaccines that are most common in Europe today. A third vaccine dose, improved vaccines, higher vaccination rates and/or stronger restrictions will be required to force Omicron (B.1.1.529) to expire without infecting a large fraction of the population.

scholarly journals COVID-19 and Historic Influenza Vaccinations in the United States: A Comparative Analysis

Vaccines ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1284
Author(s):  
Pranav Mirpuri ◽  
Richard A. Rovin
Keyword(s):  
Influenza Vaccination ◽  
The United States ◽  
Vaccination Rate ◽  
Primary Objective ◽  
Vaccine Uptake ◽  
Vaccine Hesitancy ◽  
County Level ◽  
Vaccination Rates ◽  
Global Challenge ◽  
Us Counties

The COVID-19 vaccination effort is a monumental global challenge. Recognizing and addressing the causes of vaccine hesitancy will improve vaccine uptake. The primary objective of this study was to compare the COVID-19 vaccination rates in US counties to historical vaccination rates for influenza in persons aged 65 and older. The secondary objective was to identify county-level demographic, socioeconomic, and political factors that influence vaccination rates. County level data were obtained from publicly available databases for comparison and to create predictive models. Overall, in US counties the COVID-19 vaccination rate exceeded influenza vaccination rates amongst those aged 65 or older (69.4.0% vs. 44%, p < 0.0001). 2690 (83.4%) of 3224 counties had vaccinated 50% or more of their 65 and older residents in the first seven months of the COVID-19 vaccination roll out. There were 467 (14.5%) of 3223 counties in which the influenza vaccination rate exceeded the COVID-19 vaccination rate. Most of these counties were in the Southern region, were considered politically “red” and had a significantly higher non-Hispanic Black resident population (14.4% vs. 8.2%, p < 0.0001). Interventions intended to improve uptake should account for nuances in vaccine access, confidence, and consider factual social media messaging, especially in vulnerable counties.

scholarly journals COVID-19 vaccination rates among health care workers by immigrant background. A nation-wide registry study from Norway

2021 ◽  
Author(s):  
Kristian Bandlien Kraft ◽  
Ingeborg Elgersma ◽  
Trude Marie Lyngstad ◽  
Petter Elstrøm ◽  
Kjetil Telle
Keyword(s):  
Health Care ◽  
Health Care Workers ◽  
Minority Groups ◽  
Vaccination Rate ◽  
Vaccine Uptake ◽  
Full Time ◽  
Country Of Birth ◽  
Vaccination Rates ◽  
Immigrant Background ◽  
Care Workers

AbstractBackgroundStudies have suggested that some minority groups tend to have lower vaccination rates than the overall population. This study aims to examine COVID-19 vaccination rates among health care workers (HCWs) in Norway, according to immigrant background.MethodsWe used individual-level, nation-wide registry data from Norway to identify all HCWs employed full-time at 1 December 2020. We examined the relationship between country of birth and COVID-19 vaccination from December 2020 to August 2021, both crude and adjusted for e.g. age, sex, municipality of residence, and detailed occupation codes in logistic regression models.ResultsAmong all HCWs in Norway, immigrants had a 9 percentage point lower vaccination rate (85%) than HCWs without an immigrant background (94%) at 31 August 2021. The overall vaccination rate varied by country of birth, with immigrants born in Russia (71%), Serbia (72%), Lithuania (72%), Romania (75%), Poland (76%), Eritrea (77%), and Somalia (78%) having the lowest crude vaccination rates. When we adjusted for demographics and detailed occupational codes, immigrant groups that more often worked as health care assistants, such as immigrants from Eritrea and Somalia, increased their vaccination rates.ConclusionSubstantial differences in vaccination rates among immigrant groups employed in the health care sector in Norway indicate that measures to improve vaccine uptake should focus specific immigrant groups rather than all immigrants together. Lower vaccination rates in some immigrant groups appears to be largely driven by the occupational composition, suggesting that some of the differences in vaccine rates can be attributed to variation in vaccine access.

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