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10.1016/j.vaccine.2020.12.009

http://scihub22266oqcxt.onion/10.1016/j.vaccine.2020.12.009
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33328140!7719001!33328140
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suck abstract from ncbi


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pmid33328140      Vaccine 2021 ; 39 (2): 247-254
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  • Individual preferences for COVID-19 vaccination in China #MMPMID33328140
  • Leng A; Maitland E; Wang S; Nicholas S; Liu R; Wang J
  • Vaccine 2021[Jan]; 39 (2): 247-254 PMID33328140show ga
  • BACKGROUND: Vaccinations are an effective choice to stop disease outbreaks, including COVID-19. There is little research on individuals' COVID-19 vaccination decision-making. OBJECTIVE: We aimed to determine individual preferences for COVID-19 vaccinations in China, and to assess the factors influencing vaccination decision-making to facilitate vaccination coverage. METHODS: A D-efficient discrete choice experiment was conducted across six Chinese provinces selected by the stratified random sampling method. Vaccine choice sets were constructed using seven attributes: vaccine effectiveness, side-effects, accessibility, number of doses, vaccination sites, duration of vaccine protection, and proportion of acquaintances vaccinated. Conditional logit and latent class models were used to identify preferences. RESULTS: Although all seven attributes were proved to significantly influence respondents' vaccination decision, vaccine effectiveness, side-effects and proportion of acquaintances vaccinated were the most important. We also found a higher probability of vaccinating when the vaccine was more effective; risks of serious side effects were small; vaccinations were free and voluntary; the fewer the number of doses; the longer the protection duration; and the higher the proportion of acquaintances vaccinated. Higher local vaccine coverage created altruistic herd incentives to vaccinate rather than free-rider problems. The predicted vaccination uptake of the optimal vaccination scenario in our study was 84.77%. Preference heterogeneity was substantial. Individuals who were older, had a lower education level, lower income, higher trust in the vaccine and higher perceived risk of infection, displayed a higher probability to vaccinate. CONCLUSIONS: Preference heterogeneity among individuals should lead health authorities to address the diversity of expectations about COVID-19 vaccinations. To maximize COVID-19 vaccine uptake, health authorities should promote vaccine effectiveness; pro-actively communicate the absence or presence of vaccine side effects; and ensure rapid and wide media communication about local vaccine coverage.
  • |*Decision Making[MESH]
  • |Adolescent[MESH]
  • |Adult[MESH]
  • |Aged[MESH]
  • |COVID-19 Vaccines/*administration & dosage/supply & distribution[MESH]
  • |COVID-19/epidemiology/*prevention & control/psychology/virology[MESH]
  • |China/epidemiology[MESH]
  • |Choice Behavior[MESH]
  • |Educational Status[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Immunity, Innate/drug effects[MESH]
  • |Immunization Schedule[MESH]
  • |Immunogenicity, Vaccine[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Models, Statistical[MESH]
  • |Pandemics/*prevention & control[MESH]
  • |Patient Safety[MESH]
  • |SARS-CoV-2/*immunology/pathogenicity[MESH]
  • |Surveys and Questionnaires[MESH]
  • |Vaccination Coverage/statistics & numerical data[MESH]


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