A Digital Survey on the Acceptance and Affordability of COVID 19 Vaccine among the People of West Bengal, India- A Survey Based Study

  1. Arunodaya Gautam
  2. Bikram Dhara
  3. Dattatreya Mukherjee
  4. Debraj Mukhopadhyay
  5. Sayan Roy
  6. Soumya Sarathi Ganguly
  7. Ankita Dutta Chowdhury
  8. Shubham Goswami
  9. Swapnil Dey
  10. Srishti Basu
  11. Deboshmita Banerjee
  12. Soumi Chatterjee
  13. Ishita Roy
  14. Arup Kumar Mitra

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Abstract

Overview

Currently, multiple vaccines for coronavirus disease 2019 (COVID-19) are in clinical trials. In Oct-Nov 2020, 1078 individuals in West Bengal surveyed to evaluate possible acceptance rates, affordability and factors affecting the acceptance of a vaccine for COVID-19.

Result

77.27 percent of respondents reported that they would be very or very likely to take a vaccine for COVID-19, 5.3 percent don’t want to take vaccine and 12.24 don’t know about their decision. In that 58 percent respondents want to take Indian Vaccine; 19 percent respondents want to take foreign vaccine. Other respondents can take any vaccine. The affordability, 40 percent respondents want a vaccine bellow 500 INR, 25 percent respondents want a vaccine of 500-1000 INR. 11 percent respondents want vaccine of over 1000 INR.

Method of Study

The google form is prepared with the questions on acceptance and affordability of vaccines. The form is circulated digitally among the people and then we have collected the data in excel. Based on the result we have prepared our statistical graphs.

Conclusion

Majority of Responders want a COVID 19 vaccine. Majority responders want Indian COVID19 Vaccine. Majority responders want a vaccine in a cost of below 500 INR.

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  1. ScreenIT

    SciScore for 10.1101/2020.11.13.20229534: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    No key resources detected.

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

    Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
    Although there are some limitation in the study. We made it digital survey, so the class of responders have a basic education and have a smart phone. Due to COVID 19 situation we are unable to reach the slam area community people. Some people don’t know anything about vaccine so there is an educational gap. A proper awareness about vaccination is needed.

    Results from TrialIdentifier: No clinical trial numbers were referenced.

    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

    Results from JetFighter: We did not find any issues relating to colormaps.

    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

  2. Version published to 10.1101/2020.11.13.20229534v1 on medRxiv