Health
Providing normative information increases intentions to accept a COVID-19 vaccine
Malik, A. A., McFadden, S. M., Elharake, J. & Omer, S. B. Determinants of COVID-19 vaccine acceptance in the US. EClinicalMedicine 26, 100495 (2020).
Sanche, S. et al. High contagiousness and rapid spread of severe acute respiratory syndrome coronavirus 2. Emerg. Infect. Dis. 26, 1470–1477 (2020).
Anderson, R. M., Vegvari, C., Truscott, J. & Collyer, B. S. Challenges in creating herd immunity to SARS-CoV-2 infection by mass vaccination. Lancet 396, 1614–1616 (2020).
Signorelli, C., Iannazzo, S. & Odone, A. The imperative of vaccination put into practice. Lancet Infect. Dis. 18, 26–27 (2018).
Omer, S. B., Betsch, C. & Leask, J. Mandate vaccination with care. Nature 571, 469–472 (2019).
Betsch, C. & Böhm, R. Detrimental effects of introducing partial compulsory vaccination: evidence. Eur. J. Public Health 26, 378–381 (2016).
Betsch, C., Böhm, R. & Chapman, G. B. Using behavioral insights to increase vaccination policy effectiveness. Policy Insights Behav. Brain Sci. 2, 61–73 (2015).
Nyhan, B., Reifler, J., Richey, S. & Freed, G. L. Effective messages in vaccine promotion: a randomized trial. Pediatrics 133, e835–e842 (2014).
Nyhan, B. & Reifler, J. Does correcting myths about the flu vaccine work? An evaluation of the effects of corrective information. Vaccine 33, 459–464 (2015).
Green, J. et al. The COVID States Project #36: Evaluation of COVID-19 vaccine communication strategies. https://doi.org/10.31219/osf.io/d36nh (2021).
Dai, H. et al. Behavioural nudges increase COVID-19 vaccinations. Nature 597, 404–409 (2021).
Nyhan, B., Reifler, J. & Richey, S. The role of social networks in influenza vaccine attitudes and intentions among college students in the southeastern United States. J. Adolesc. Health 51, 302–304 (2012).
Brunson, E. K. The impact of social networks on parents’ vaccination decisions. Pediatrics 131, e1397–e1404 (2013).
Bauch, C. T. & Earn, D. J. Vaccination and the theory of games. Proc. Natl Acad. Sci. USA 101, 13391–13394 (2004).
Oraby, T., Thampi, V. & Bauch, C. T. The influence of social norms on the dynamics of vaccinating behaviour for paediatric infectious diseases. Proc. R. Soc. B: Biol. Sci. 281, 20133172 (2014).
Brewer, N. T., Chapman, G. B., Rothman, A. J., Leask, J. & Kempe, A. Increasing vaccination: Putting psychological science into action. Psychological Sci. Public Interest 18, 149–207 (2017).
DeRoo, S. S., Pudalov, N. J. & Fu, L. Y. Planning for a COVID-19 vaccination program. J. Am. Med. Assoc. 323, 2458–2459 (2020).
Hensel, L. et al. Global behaviors, perceptions, and the emergence of social norms at the onset of the covid-19 pandemic. J. Economic Behav. Organization 193, 473–496 (2021).
Allcott, H. et al. Polarization and public health: partisan differences in social distancing during the coronavirus pandemic. J. Public Econ. 191, 104254 (2020).
Bridgman, A. et al. The causes and consequences of COVID-19 misperceptions: understanding the role of news and social media. Harvard Kennedy School Misinformation Rev. 1, https://doi.org/10.37016/mr-2020-028 (2020).
Simonov, A., Sacher, S. K., Dubé, J.-P. H. & Biswas, S. The persuasive effect of Fox News: Non-compliance with social distancing during the COVID-19 pandemic. NBER Working Paper No. 27237 (National Bureau of Economic Research, 2020).
Holtz, D. et al. Interdependence and the cost of uncoordinated responses to COVID-19. Proc. Natl Acad. Sci. USA 117, 19837–19843 (2020).
Bicchieri, C. et al. In science we (should) trust: expectations and compliance across nine countries during the COVID-19 pandemic. PloS one 16, e0252892 (2021).
Banerjee, A., Chandrasekhar, A. G., Duflo, E. & Jackson, M. O. Using gossips to spread information: theory and evidence from two randomized controlled trials. Rev. Economic Stud. 86, 2453–2490 (2019).
Alatas, V., Chandrasekhar, A. G., Mobius, M., Olken, B. A. & Paladines, C. When celebrities speak: A nationwide twitter experiment promoting vaccination in Indonesia. NBER Working Paper No. 25589. (National Bureau of Economic Research, 2019).
Bicchieri, C. The Grammar of Society: The Nature and Dynamics of Social Norms (Cambridge University Press, 2005).
Bauch, C. T. & Bhattacharyya, S. Evolutionary game theory and social learning can determine how vaccine scares unfold. PLoS Comput. Biol. 8, e1002452 (2012).
Rao, N., Mobius, M. M. & Rosenblat, T. Social Networks and Vaccination Decisions (November 6, 2007). FRB of Boston Working Paper No. 07-12, https://doi.org/10.2139/ssrn.1073143 (2007).
Vietri, J. T., Li, M., Galvani, A. P. & Chapman, G. B. Vaccinating to help ourselves and others. Med. Decis. Mak. 32, 447–458 (2012).
Shim, E., Chapman, G. B., Townsend, J. P. & Galvani, A. P. The influence of altruism on influenza vaccination decisions. J. R. Soc. Interface 9, 2234–2243 (2012).
Korn, L., Böhm, R., Meier, N. W. & Betsch, C. Vaccination as a social contract. Proc. Natl Acad. Sci. USA 117, 14890–14899 (2020).
Ibuka, Y., Li, M., Vietri, J., Chapman, G. B. & Galvani, A. P. Free-riding behavior in vaccination decisions: an study. PLoS ONE 9, e87164 (2014).
Böhm, R., Betsch, C. & Korn, L. Selfish-rational non-vaccination: evidence from an interactive vaccination game. J. Economic Behav. Organ. 131, 183–195 (2016).
Hershey, J. C., Asch, D. A., Thumasathit, T., Meszaros, J. & Waters, V. V. The roles of altruism, free riding, and bandwagoning in vaccination decisions. Organ. Behav. Hum. Decis. Process. 59, 177–187 (1994).
Sato, R. & Takasaki, Y. Peer effects on vaccination behavior: evidence from rural Nigeria. Economic Dev. Cultural Change 68, 93–129 (2019).
Collis, A. et al. Global survey on COVID-19 beliefs, behaviours and norms. Nat. Hum. Behav. 6, 1310–1317 (2022).
Barkay, N. et al. Weights and methodology brief for the COVID-19 symptom survey by University of Maryland and Carnegie Mellon University, in partnership with Facebook. arXiv preprint arXiv:2009.14675 (2020).
Fisher, K. A. et al. Attitudes toward a potential SARS-CoV-2 vaccine: a survey of US adults. Ann. Intern. Med. 173, 964–973 (2020).
Lazarus, J. V. et al. A global survey of potential acceptance of a COVID-19 vaccine. Nat. Med. 27, 225–228 (2020).
Betsch, C., Korn, L. & Holtmann, C. Don’t try to convert the antivaccinators, instead target the fence-sitters. Proc. Natl Acad. Sci. USA 112, E6725–E6726 (2015).
Groves, R. M. et al. Survey Methodology, vol. 561 (John Wiley & Sons, 2011).
Chou, W. Y. S., Burgdorf, C. E., Gaysynsky, A. & Hunter, C. M. COVID-19 Vaccination Communication: Applying Behavioral and Social Science to Address Vaccine Hesitancy and Foster Vaccine Confidence. National Institutes of Health https://obssr.od.nih.gov/wp-content/uploads/2020/12/COVIDReport_Final.pdf (2020).
Palm, R., Bolsen, T. & Kingsland, J. T. The effect of frames on COVID-19 vaccine resistance. Front. Polit. Sci. 3, 661257 (2021).
Chevallier, C., Hacquin, A. S. & Mercier, H. COVID-19 vaccine hesitancy: Shortening the last mile. Trends Cogn. Sci. 25, 331–333 (2021).
Riphagen-Dalhuisen, J. et al. Hospital-based cluster randomised controlled trial to assess effects of a multi-faceted programme on influenza vaccine coverage among hospital healthcare workers and nosocomial influenza in the netherlands, 2009 to 2011. Eurosurveillance 18, 20512 (2013).
Bar-On, Y. M. et al. Protection of bnt162b2 vaccine booster against covid-19 in Israel. N. Engl. J. Med. 385, 1393–1400 (2021).
Paul, E., Steptoe, A. & Fancourt, D. Attitudes towards vaccines and intention to vaccinate against COVID-19: implications for public health communications. Lancet Regional Health-Europe 1, 100012 (2020).
Granfield, R. Alcohol use in college: limitations on the transformation of social norms. Addiction Res. Theory 13, 281–292 (2005).
Bicchieri, C. & Dimant, E. Nudging with care: The risks and benefits of social information. Public Choice 191, 443–464 (2022).
Bicchieri, C. & Mercier, H. Norms and beliefs: How change occurs. In The Complexity of Social Norms (eds Xenitidou, M. & Edmonds, B.) 37–54 (Cham, Springer, 2014).
Loomba, S., de Figueiredo, A., Piatek, S. J., de Graaf, K. & Larson, H. J. Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA. Nat. Hum. Behav. 5, 337–348 (2021).
Banker, S. & Park, J. Evaluating prosocial COVID-19 messaging frames: evidence from a field study on Facebook. Judgm. Decis. Mak. 15, 1037–1043 (2020).
Alsan, M. et al. Comparison of knowledge and information-seeking behavior after general COVID-19 public health messages and messages tailored for Black and Latinx communities: a randomized controlled trial. Annal. Internal Med. 174, 484–492 (2020).
Milkman, K. L. et al. A megastudy of text-based nudges encouraging patients to get vaccinated at an upcoming doctor’s appointment. Proc. Natl Acad. Sci. USA 118, e2101165118 (2021).
Chanel, O., Luchini, S., Massoni, S. & Vergnaud, J. C. Impact of information on intentions to vaccinate in a potential epidemic: swine-origin Influenza A (H1N1). Soc. Sci. Med. 72, 142–148 (2011).
Lehmann, B. A., Ruiter, R. A., Chapman, G. & Kok, G. The intention to get vaccinated against influenza and actual vaccination uptake of Dutch healthcare personnel. Vaccine 32, 6986–6991 (2014).
Bronchetti, E. T., Huffman, D. B. & Magenheim, E. Attention, intentions, and follow-through in preventive health behavior: field evidence on flu vaccination. J. Economic Behav. Organ. 116, 270–291 (2015).
Alsan, M. & Eichmeyer, S. Persuasion in medicine: Messaging to increase vaccine demand. NBER Working Paper No. 28593 (National Bureau of Economic Research, 2021).
Santos, H. C., Goren, A., Chabris, C. F. & Meyer, M. N. Effect of targeted behavioral science messages on COVID-19 vaccination registration among employees of a large health system: a randomized trial. JAMA Netw. Open 4, e2118702–e2118702 (2021).
Lin, W. Agnostic notes on regression adjustments to data: reexamining Freedman’s critique. Ann. Appl. Stat. 7, 295–318 (2013).
Miratrix, L. W., Sekhon, J. S. & Yu, B. Adjusting treatment effect estimates by post-stratification in randomized experiments. J. R. Stat. Soc.: Ser. B (Stat. Methodol.) 75, 369–396 (2013).
Moehring, A. et al. Norms increase vaccine acceptance, Zenodo, https://doi.org/10.5281/zenodo.6508220 (2022).
|
Sources 2/ https://www.nature.com/articles/s41467-022-35052-4 The mention sources can contact us to remove/changing this article |
What Are The Main Benefits Of Comparing Car Insurance Quotes Online
LOS ANGELES, CA / ACCESSWIRE / June 24, 2020, / Compare-autoinsurance.Org has launched a new blog post that presents the main benefits of comparing multiple car insurance quotes. For more info and free online quotes, please visit https://compare-autoinsurance.Org/the-advantages-of-comparing-prices-with-car-insurance-quotes-online/ The modern society has numerous technological advantages. One important advantage is the speed at which information is sent and received. With the help of the internet, the shopping habits of many persons have drastically changed. The car insurance industry hasn't remained untouched by these changes. On the internet, drivers can compare insurance prices and find out which sellers have the best offers. View photos The advantages of comparing online car insurance quotes are the following: Online quotes can be obtained from anywhere and at any time. Unlike physical insurance agencies, websites don't have a specific schedule and they are available at any time. Drivers that have busy working schedules, can compare quotes from anywhere and at any time, even at midnight. Multiple choices. Almost all insurance providers, no matter if they are well-known brands or just local insurers, have an online presence. Online quotes will allow policyholders the chance to discover multiple insurance companies and check their prices. Drivers are no longer required to get quotes from just a few known insurance companies. Also, local and regional insurers can provide lower insurance rates for the same services. Accurate insurance estimates. Online quotes can only be accurate if the customers provide accurate and real info about their car models and driving history. Lying about past driving incidents can make the price estimates to be lower, but when dealing with an insurance company lying to them is useless. Usually, insurance companies will do research about a potential customer before granting him coverage. Online quotes can be sorted easily. Although drivers are recommended to not choose a policy just based on its price, drivers can easily sort quotes by insurance price. Using brokerage websites will allow drivers to get quotes from multiple insurers, thus making the comparison faster and easier. For additional info, money-saving tips, and free car insurance quotes, visit https://compare-autoinsurance.Org/ Compare-autoinsurance.Org is an online provider of life, home, health, and auto insurance quotes. This website is unique because it does not simply stick to one kind of insurance provider, but brings the clients the best deals from many different online insurance carriers. In this way, clients have access to offers from multiple carriers all in one place: this website. On this site, customers have access to quotes for insurance plans from various agencies, such as local or nationwide agencies, brand names insurance companies, etc. "Online quotes can easily help drivers obtain better car insurance deals. All they have to do is to complete an online form with accurate and real info, then compare prices", said Russell Rabichev, Marketing Director of Internet Marketing Company. CONTACT: Company Name: Internet Marketing CompanyPerson for contact Name: Gurgu CPhone Number: (818) 359-3898Email: [email protected]: https://compare-autoinsurance.Org/ SOURCE: Compare-autoinsurance.Org View source version on accesswire.Com:https://www.Accesswire.Com/595055/What-Are-The-Main-Benefits-Of-Comparing-Car-Insurance-Quotes-Online View photos
to request, modification Contact us at Here or [email protected]
 |
 |
 |
