Young adult preference analysis on the attributes of COVID-19 vaccine in the Philippines: A conjoint analysis approach

Kaya F, Pirincci E. Determining the frequency of serious adverse reactions of inactive SARS-COV-2 vaccine. Work. 2021(Preprint):1-5. Organization Jesus, 2020, A ‘new normal’following COVID-19 and the economic crisis: using systems thinking to identify challenges and opportunities in disability, telework, and rehabilitation, Work, 1 Kumari, 2021, Development and validation of a questionnaire to assess knowledge, attitude, practices, and concerns regarding covid-19 vaccination among the general population, Diabetes Metabol. Syndr.: Clin. Res. Rev., 15, 919, 10.1016/j.dsx.2021.04.004 Murphy, 2021, Psychological characteristics associated with COVID-19 vaccine hesitancy and resistance in Ireland and the United Kingdom, Nat. Commun., 12, 1, 10.1038/s41467-020-20226-9 Chu, 2021 McCarthy, 2021 De Vera, 2021 Cuaresma, 2021 Yousefinaghani, 2021, An analysis of COVID-19 vaccine sentiments and opinions on twitter, Int. J. Infect. Dis., 108, 256, 10.1016/j.ijid.2021.05.059 Magsambol, 2021 Staff, 2021 Shen, 2021, Projected COVID-19 epidemic in the United States in the context of the effectiveness of a potential vaccine and implications for social distancing and face mask use, Vaccine, 39, 2295, 10.1016/j.vaccine.2021.02.056 Motta, 2021, Can a COVID-19 vaccine live up to Americans' expectations? A conjoint analysis of how vaccine characteristics influence vaccination intentions, Soc. Sci. Med., 272, 10.1016/j.socscimed.2020.113642 Wong, 2021, Acceptance of the COVID-19 vaccine based on the health belief model: a population-based survey in Hong Kong, Vaccine, 39, 1148, 10.1016/j.vaccine.2020.12.083 McKee, 2016, Exploring the reasons behind parental refusal of vaccines, J. Pediatr. Pharmacol. Therapeut., 21, 104, 10.5863/1551-6776-21.2.104 Xiao, 2020, Vaccine hesitancy and perceived behavioral control: a meta-analysis, Vaccine, 38, 5131, 10.1016/j.vaccine.2020.04.076 Stockwell, 2011, The effects of vaccine characteristics on adult women's attitudes about vaccination: a conjoint analysis study, Vaccine, 29, 4507, 10.1016/j.vaccine.2011.04.031 Sun, 2020, A conjoint analysis of stated vaccine preferences in Shanghai, China, Vaccine, 38, 1520, 10.1016/j.vaccine.2019.11.062 Seanehia, 2016, Quantifying population preferences around vaccination against severe but rare diseases: a conjoint analysis among French university students, Vaccine, 35, 2676, 10.1016/j.vaccine.2017.03.086 Bridges, 2011, Conjoint analysis applications in health—a checklist: a report of the ISPOR good research practices for conjoint analysis task force, Value Health, 14, 403, 10.1016/j.jval.2010.11.013 Luce, 1964, Simultaneous conjoint measurement: a new type of fundamental measurement, J. Math. Psychol., 1, 1, 10.1016/0022-2496(64)90015-X Omar, 2021, Attitudes and intentions towards COVID-19 vaccines and associated factors among Egyptian adults, Journal of Infection and Public Health, 14, 1481, 10.1016/j.jiph.2021.06.019 Stevens, 2015, Evaluating alcoholics anonymous sponsor attributes using conjoint analysis, Addict. Behav., 51, 12, 10.1016/j.addbeh.2015.06.043 Macindo, 2019, A conjoint analysis of the acute and critical care experiential learning preferences of Baccalaureate student nurses, Nurse Educ. Pract., 36, 125, 10.1016/j.nepr.2019.02.016 Ares, 2016, Influence of label design on children's perception of two snack foods: comparison of rating and choice-based conjoint analysis, Food Qual. Prefer., 53, 1, 10.1016/j.foodqual.2016.05.006 Ong, 2021, Consumer preference analysis on attributes of milk tea: a conjoint analysis approach, Foods, 10, 1382, 10.3390/foods10061382 Endrizzi, 2015, A conjoint study on apple acceptability: sensory characteristics and nutritional information, Food Qual. Prefer., 40, 39, 10.1016/j.foodqual.2014.08.007 García-Torres, 2016, Intensive vs. free-range organic beef. A preference study through consumer liking and conjoint analysis, Meat Sci., 114, 114, 10.1016/j.meatsci.2015.12.019 Klopčič, 2020, Consumer preference for nutrition and health claims: a multi-methodological approach, Food Qual. Prefer., 82, 10.1016/j.foodqual.2019.103863 Landfeldt, 2016, Patient, physician, and general population preferences for treatment characteristics in relapsed or refractory chronic lymphocytic leukemia: a conjoint analysis, Leuk. Res., 40, 17, 10.1016/j.leukres.2015.11.006 Manjunath, 2012, Patients' preferences for treatment outcomes of add- on antiepileptic drugs: a conjoint analysis, Epilepsy Behav., 24, 474, 10.1016/j.yebeh.2012.05.020 Shammas, 2018, Conjoint analysis of treatment preferences for nondisplaced scaphoid fractures, J. Hand Surg., 43, 678, 10.1016/j.jhsa.2017.12.021 Johansson, 2004, Asthma treatment preference study: a conjoint analysis of preferred drug treatments, Chest, 125, 916, 10.1378/chest.125.3.916 Beusterien, 2005, Understanding patient preferences for HIV medications using adaptive conjoint analysis: feasibility assessment, Value Health, 8, 453, 10.1111/j.1524-4733.2005.00036.x Sethuraman, 2005, A field study comparing online and offline data collection methods for identifying product attribute preferences using conjoint analysis, J. Bus. Res., 58, 602, 10.1016/j.jbusres.2003.09.009 Uscinski, 2020, Why do people believe COVID-19 conspiracy theories?, Harvard Keendy School. Misinfo. Rev., 1 Laughlin Kreps, 2021, Factors influencing Covid-19 vaccine acceptance across subgroups in the United States: evidence from a conjoint experiment, Vaccine, 39, 3250, 10.1016/j.vaccine.2021.04.044 Zandian H, Sarailoo M, Dargahi S, Gholizadeh H, Vosoughi M, Dargahi A. Evaluation of knowledge and health behavior of university of medical sciences students about the prevention of COVID-19. Work. 2021(Preprint):1-7. Connochie, 2019, Young men who have sex with men's awareness, acceptability, and willingness to participate in HIV vaccine trials: results from a nationwide online pilot study, Vaccine, 37, 6494, 10.1016/j.vaccine.2019.08.076 Riad, 2021, Prevalence of COVID-19 vaccine side effects among healthcare workers in the Czech republic, J. Clin. Med., 10, 1428, 10.3390/jcm10071428 Waters, 2017, Side effect perceptions and their impact on treatment decisions in women, Med. Decis. Making, 37, 193, 10.1177/0272989X16650664 Baldolli, 2020, Vaccination perception and coverage among healthcare students in France in 2019, BMC Med. Educ., 20, 1, 10.1186/s12909-020-02426-5 Organization, 2021 Wolicki, 2020 Baraniuk, 2021, 372 Health Do, 2021 CfDCa, 2021 Clinic, 2021 Organization, 2021 CfDCa, 2021 Zurovac, 2012 2014, Consumer preference analysis on flute attributes in Indonesia using conjoint analysis Parsons, 2021, Anchoring on visual cues in a stated preference survey: the case of siting offshore wind power projects, J. Choice Model., 38, 10.1016/j.jocm.2020.100264 Terry Katella, 2021 Organization Klasa, 2021 Polack, 2020, Safety and efficacy of the BNT162b2 mRNA Covid-19 vaccine, N. Engl. J. Med., 383, 2603, 10.1056/NEJMoa2034577 Tkatek, 2020, Putting the world back to work: an expert system using big data and artificial intelligence in combating the spread of COVID-19 and similar contagious diseases, Work, 1 Ong, 2021, Kurata, thanatorn chuenyindee, reny nadlifatin, anak agung redi, and michael nayat young. Gym-goers preference analysis of fitness Centers during the COVID-19 pandemic: a conjoint analysis approach for business sustainability, Sustainability, 13, 10.3390/su131810481 Ong, 2021, Students' preference analysis on online learning attributes in industrial engineering education during the COVID-19 pandemic: a conjoint analysis approach for sustainable industrial engineers, Sustainability, 13, 8339, 10.3390/su13158339 Ong, 2022, Preference analysis on the online learning attributes among senior high School students during the COVID-19 pandemic: a conjoint analysis approach, Eval. Progr. Plann., 92 Al Naam, 2022, Factors related to COVID-19 vaccine hesitancy in Saudi Arabia, Pub. Health Pract., 3 Gbeasor-Komlanvi, 2021, Prevalence and factors associated with COVID-19 vaccine hesitancy in health professionals in Togo, 2021, Pub. Health Pract., 2