Using Behavioral Insights to Increase Vaccination Policy Effectiveness

2015 ◽  
Vol 2 (1) ◽  
pp. 61-73 ◽  
Author(s):  
Cornelia Betsch ◽  
Robert Böhm ◽  
Gretchen B. Chapman

Even though there are policies in place, and safe and effective vaccines available, almost every country struggles with vaccine hesitancy, that is, a delay in acceptance or refusal of vaccination. Consequently, it is important to understand the determinants of individual vaccination decisions to establish effective strategies to support the success of country-specific public health policies. Vaccine refusal can result from complacency, inconvenience, a lack of confidence, and a rational calculation of pros and cons. Interventions should, therefore, be carefully targeted to focus on the reason for non-vaccination. We suggest that there are several interventions that may be effective for complacent, convenient, and calculating individuals whereas interventions that might be effective for those who lack confidence are scarce. Thus, efforts should be concentrated on motivating the complacent, removing barriers for those for whom vaccination is inconvenient, and adding incentives and additional utility for the calculating. These strategies might be more promising, economic, and effective than convincing those who lack confidence in vaccination.

2021 ◽  
Author(s):  
Xiao Chen ◽  
Hanwei Huang ◽  
Jiandong Ju ◽  
Ruoyan Sun ◽  
Jialiang Zhang

Abstract Governments worldwide are implementing mass vaccination programs in an effort to end the novel coronavirus (COVID-19) pandemic. Here, we evaluated the effectiveness of the COVID-19 vaccination program and predicted the path to herd immunity in the U.S. We estimated that vaccination reduced the total number of new cases by 4.4 million (from 33.0 to 28.6 million), prevented approximately 0.12 million hospitalizations (from 0.89 to 0.78 million), and decreased the population infection rate by 1.34 percentage points (from 10.10–8.76%). We built a Susceptible-Infected-Recovered (SIR) model with vaccination to predict herd immunity. Our model predicts that the U.S. can achieve herd immunity by the last week of July 2021, with a cumulative vaccination coverage of 60.2%. Herd immunity could be achieved earlier with a faster vaccination pace, lower vaccine hesitancy, and higher vaccine effectiveness. These findings improve our understanding of the COVID-19 vaccination and can inform future public health policies.


2021 ◽  
Vol 13 (4) ◽  
pp. 872-887
Author(s):  
Ishan Garg ◽  
Hamza Hanif ◽  
Nismat Javed ◽  
Ramsha Abbas ◽  
Samir Mirza ◽  
...  

The coronavirus 2019 (COVID-19) pandemic has disproportionately impacted lesbian, gay, bisexual, transgender, queer (LGBTQ+) people. Despite developing safe and effective COVID-19 vaccines, LGBTQ+ communities still faces challenges due to inequitable access and vaccine hesitancy. Vaccine hesitancy is a delay in the acceptance or refusal of vaccines despite the availability of vaccination services. Various studies have explored and tried to address factors influencing vaccine hesitancy. However, the LGBTQ+ population remains under- and misrepresented in many of these studies. According to the few studies that have focused on the LGBTQ+ population, several factors influencing vaccine hesitancy have been identified, with the most common factors in studies being concern about vaccine safety, vaccine efficacy, and history of bad experiences with healthcare providers. In order to rebuild the confidence of LGBTQ+ people in vaccines, governments, healthcare policymakers, and healthcare providers need to start by acknowledging, and then resolving, these disparities; building trust; dismantling systemic suppression and discrimination; and prioritizing the inclusion of LGBTQ+ people in research studies and public health policies.


2021 ◽  
Author(s):  
Riccardo Gallotti ◽  
Federico Pilati ◽  
Pier Luigi Sacco ◽  
Manlio De Domenico

In a recent paper by Valensise et al [1], the authors present an analysis of social media data – from Facebook and Twitter – and vaccine hesitancy data – from Facebook – to provide evidence that the overabundance of potentially unreliable information, known as infodemic, does not affect vaccine acceptance. If confirmed, this result could have a dramatic impact on public health policies across the world, suggesting that current actions taken in place to contain and prevent the spreading of disinformation and misinformation might be useless to significantly hinder vaccine hesitancy. We disagree with this conclusion on the basis of existing literature that the authors fail to consider,of methodological concerns that suggest that their approach might have crucial flaws, and of an alternative empirical analysis unraveling a broader and richer picture to interpret.Simplistic analyses are not enough to assess the complex interplay between two complex social and behavioral phenomena such as vaccine hesitancy and infodemic: more sophisticated analyses are needed to account for the different intervening socio-cultural, behavioral, environmental and epidemiological factors. Under these conditions, we conclude that the authors’ main claim is conceptually and empirically unsupported. We are sincerely concerned that, if measures disregarding the circulating disinformation around the COVID19 vaccines were endorsed by policy makers in the design of future public health policies, it might lead to serious negative consequences by dangerously overlooking a major potential driver of dysfunctional behavioral responses to public health policies and goals.


2020 ◽  
Vol 13 (20) ◽  
pp. 43-57 ◽  
Author(s):  
Simona Vulpe

AbstractVaccine hesitancy is not a singular view but encompasses a set of positions located between complete acceptance of vaccination and complete rejection of vaccination. In this paper, I argue that vaccine-hesitant attitudes emerge at the intersection of individual and structural processes, and thus can be better conceptualized as “extended attitudes”. Drawing on the theoretical understanding of risk and science scepticism in post-modern societies, I consider hesitant attitudes towards vaccination as addressing risks that are induced in our everyday lives by science developments. I conducted K-Means Cluster Analysis on Eurobarometer data from 2019 regarding Europeans’ attitudes towards vaccination. Four clusters of vaccine-hesitant attitudes were identified. “Price hesitation” and “Effort hesitation” result from restricted access to vaccination because of structural constraints, such as low economic capital and health care system’ deficits. “Unexercised pro-vaccination” is an attitude manifested by people who grant authority to science to manage health-related risks, even though they did not vaccinate in the last five years. “Consistent anti-vaccination” pertains to highly reflexive individuals who dismiss experts’ authority because of scientifically derived risks. My analysis enhances the theoretical understanding and the empirical assessment of vaccine-hesitant attitudes in the European Union and can inform public health policies in this area.


2020 ◽  
Author(s):  
Anne-Sophie Hacquin ◽  
Sacha Altay ◽  
Emma de Araujo ◽  
Coralie Chevallier ◽  
Hugo Mercier

A safe and effective COVID-19 vaccine is our only hope to decisively stop the spread of the SARS-CoV-2. But a vaccine will only be fully effective if a significant share of the population agrees to get it. Five consecutive surveys of a large, nationally representative sample (N = 1000 for each wave) surveyed attitudes towards a future COVID-19 vaccine in France from May 2020 to October 2020. We found that COVID-19 vaccine refusal has steadily increased, reaching an all-time high with only 23% of participants willing to probably or certainly take a future COVID-19 vaccine in September 2020. Vaccine hesitant individuals are more likely to be women, young, less educated, to vote at the political extremes, to be dissatisfied with the government’s response to the COVID-19 crisis, and to feel less at risk of COVID-19. The reasons why French people would refuse to take the COVID-19 vaccine are similar to those offered for other vaccines, and these reasons are strikingly stable across gender, age and educational level. Finally, most French people declare they would not take the vaccine as soon as possible but would instead rather wait or not take it at all.


Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3315
Author(s):  
Ewa Zender-Świercz ◽  
Marek Telejko ◽  
Beata Galiszewska

Due to the spread of the SARS-CoV-2 virus, most countries have tightened their public health policies. One way to limit the spread of the virus is to make mouth and nose cover compulsory in public spaces. The article presents the impact of wearing masks on the perception of thermal comfort. The following masks were analysed: FFP2, cotton, medical, PM2.5, half-face protective shield plastic and full-face protective shield plastic. The research was carried out for two scenarios of an ambient temperature: −20 and 30 °C. A thermal manikin was used for the tests. In the case of when a temperature equals 20 °C, the dry masks increase comfort, both general and local, while wet masks reduce comfort. On the other hand, at 30 °C, only wet masks do not increase discomfort. In addition, moist masks require less heat flux to achieve a certain skin temperature. However, it should be remembered that it is not advisable to wet the masks from the health point of view.


JAMIA Open ◽  
2021 ◽  
Author(s):  
Bo Peng ◽  
Rowland W Pettit ◽  
Christopher I Amos

Abstract Objectives We developed COVID-19 Outbreak Simulator (https://ictr.github.io/covid19-outbreak-simulator/) to quantitatively estimate the effectiveness of preventative and interventive measures to prevent and battle COVID-19 outbreaks for specific populations. Materials and methods Our simulator simulates the entire course of infection and transmission of the virus among individuals in heterogeneous populations, subject to operations and influences, such as quarantine, testing, social distancing, and community infection. It provides command-line and Jupyter notebook interfaces and a plugin system for user-defined operations. Results The simulator provides quantitative estimates for COVID-19 outbreaks in a variety of scenarios and assists the development of public health policies, risk-reduction operations, and emergency response plans. Discussion Our simulator is powerful, flexible, and customizable, although successful applications require realistic estimation and robustness analysis of population-specific parameters. Conclusion Risk assessment and continuity planning for COVID-19 outbreaks are crucial for the continued operation of many organizations. Our simulator will be continuously expanded to meet this need.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
R S Caló ◽  
B S N Souza ◽  
N D Galvão ◽  
R A G Souza ◽  
J C S Oliveira ◽  
...  

Abstract Background Colorectal cancer has been one of the cancers that most contributed to mortality, in both sexes in the world. In Brazil, cancer is among the top five causes of death and colorectal cancer is ranked on the fifth position. Of the Federative Units belonging to the Legal Amazon, Mato Grosso stands out for the higher adjusted incidence of colorectal cancer for both sexes. Thus, the objective is to characterize deaths from colorectal cancer, according to sociodemographic variables in Mato Grosso from 2000 to 2016. Methods A descriptive study was carried out, using data from the Mortality Information System, made available by the Department of Health of the Mato Grosso State. Deaths of all ages were selected, whose basic cause was identified by the codes from the International Classification of Diseases: (C.18) colon cancer, (C.19) rectosigmoid junction cancer, (C.20) rectal cancer or (C.21) anus cancer. Results Between 2000 and 2016, 31,607 deaths from cancer were registered. Of these, 1,750 (5.6%) were due to colorectal cancer. An increased number of deaths was observed at the end of the period, with a variation from 46 deaths in 2000 from 173 in 2016. Highest frequency was verified in men (51.3%), people aged 60 years or older (59.7%), black (54.6%), married (52.3%) and those with primary education (55.2%). According to Brazilian occupation classification options or those answers filled out on the death certificate, highest frequency were for “Retired” (26.2%), “Housewife” (23.1%), Agricultural/Forestry and Fisheries” (11.3%) and “Production of Industrial Goods and Services” (10.3%). Conclusions This study evidenced the increased number of deaths due to colorectal cancer in Mato Grosso State, and identified priority groups for interventions through public health policies which should include screening and early diagnosis to cope with the disease. Key messages Evidenced the increased number of deaths due to colorectal cancer in Mato Grosso State. Identified priority groups for interventions through public health policies.


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