Throughout the COVID-19 pandemic, media and policymakers openly speculated about the number of immune citizens needed to reach a herd immunity threshold. What are the effects of such numerical goals on the willingness to vaccinate? In a large representative sample ( = 1540) of unvaccinated Swedish citizens, we find that giving a low (60%) compared to a high (90%) threshold has direct effects on beliefs about reaching herd immunity and beliefs about how many others that will get vaccinated. Presenting the high threshold makes people believe that herd immunity is harder to reach (on average about half a step on a seven-point scale), compared to the low threshold. Yet at the same time, people also believe that a higher number of the population will get vaccinated (on average about 3.3% more of the population). Since these beliefs affect willingness to vaccinate in opposite directions, some individuals are encouraged and others discouraged depending on the threshold presented. Specifically, in mediation analysis, the high threshold indirectly increases vaccination willingness through the belief that many others will get vaccinated ( = 0.027, = 0.003). At the same time, the high threshold also decreases vaccination willingness through the belief that the threshold goal is less attainable ( = -0.053, < 0.001) compared to the low threshold condition. This has consequences for ongoing COVID-19 vaccination and future vaccination campaigns. One message may not fit all, as different groups can be encouraged or discouraged from vaccination.
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http://dx.doi.org/10.1057/s41599-022-01257-7 | DOI Listing |
J Infect Dis
January 2025
Center for Cervical Cancer Elimination, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden.
Background: Most countries in the world have launched human papillomavirus (HPV) vaccination programmes and declining prevalences of HPV are reported. We aimed to disentangle the influences of calendar time, birth cohort and age by analysing HPV prevalences in the population-based cervical screening programme using age-period-cohort modelling.
Methods: All 836,314 primary HPV-based cervical screening tests from women aged 23-64 between 2014-2023 in the capital region of Sweden were identified in the Swedish National Cervical Screening Registry.
Chaos
January 2025
School of Science, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.
Humans and predators occupy dominant positions in ecosystems and are generally believed to play a decisive role in maintaining ecosystem stability, particularly in the context of virus transmission. However, this may not always be the case. By establishing some ecosystem virus transmission models that cover both human perspectives and predators, we have drawn the following conclusions: (1) Controlling vaccination activities from the human perspective can potentially lower the transmission rate and improve herd immunity, thereby indirectly protecting unvaccinated risk groups.
View Article and Find Full Text PDFVaccine
January 2025
Indian Council of Agricultural Research (ICAR)-Indian Veterinary Research Institute (IVRI), Hebbal, Bengaluru 560024, India. Electronic address:
As pregnancy can adversely affect the immune response of vaccination against foot and mouth disease virus (FMDV) due to physiological immunosuppressive milieu, we tested the effect of FMDV vaccination during mid-gestation on the antibody response. Pregnant and non-pregnant cows of crossbred and indigenous breed (n = 28/group) were vaccinated with inactivated FMD vaccine covering O, A, and Asia1 serotypes and the sera were harvested at weekly interval till day 42 post-vaccination. Virus neutralization test (VNT) was done and the analysis of log VN antibody titer by mixed model ANOVA indicated that pregnancy did not significantly affect the log VN titer for FMDV serotype O and Asia1.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Electronics and Communication Engineering, Sri Ramakrishna Institute of Technology, Coimbatore, Tamilnadu, India, 641010.
The global spread of COVID-19, particularly through cough symptoms, necessitates efficient diagnostic tools. COVID-19 patients exhibit unique cough sound patterns distinguishable from other respiratory conditions. This study proposes an advanced framework to detect and predict COVID-19 using deep learning from cough audio signals.
View Article and Find Full Text PDFPediatr Infect Dis J
January 2025
From the Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Background: The World Health Organization classified coronavirus disease (COVID-19) as a pandemic by March 11, 2020. Children had a milder disease than adults, and many were asymptomatic. The pandemic could be seen as a natural experiment with several changes, including time spent at home.
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