https://doi.org/10.4081/monaldi.2023.2577
A cross-sectional study on COVID-19 vaccine hesitancy in peri-urban areas in Kanpur, Uttar Pradesh, India
Submitted: March 10, 2023
Accepted: May 10, 2023
Published: May 31, 2023
Accepted: May 10, 2023
Abstract Views: 676
PDF: 245
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
Vaccination is a potential public health solution for the prevention of infection. It reduces the severity of symptoms in the case of COVID-19. Despite the availability of vaccines, some people are hesitant to be vaccinated. The objectives of this study were to measure the proportion of vaccine hesitancy among the peri-urban population and identify its determinants. An adult population of 303 from two peri-urban areas in the field practice area of the Urban Health Training Center, Rama Medical College, was interviewed from February 22 to March 25, 2021. Epicollect 5 was used for collecting data, and STATA 16 was used for analysis. Multivariable logistic regression was applied to compute the adjusted odds ratio (AOR) (95% confidence interval) to find out the determinants of vaccine hesitancy. The 3Cs model-guided tools were used for data collection and analysis. More than one-fourth (28%) of the participants were vaccine-hesitant, whereas 34.6% had no confidence in the vaccine. Other reasons were complacency (40.6%) and convenience (35.9%). Vaccine hesitancy was significantly associated with gender [AOR=2.40 (1.12-5.16)] and trust in government [AOR=0.18 (0.08-0.45)], but there was no association with age group, political affiliation, or source of information about the vaccine. It is important to build people’s trust in vaccines, make them convenient, and resolve the issues that are making them complacent. The health system needs to involve non-governmental organizations to reach out to those for whom there are issues of availability and approach.
Centers for Disease Control and Prevention. Vaccines for COVID-19. 2021. Available from: https://www.cdc.gov/coronavirus/2019-ncov/vaccines/index.html.
Lin Y, Hu Z, Zhao Q, et al. Understanding COVID-19 vaccine demand and hesitancy: a nationwide online survey in China. PLoS Negl Trop Dis 2020;14:e0008961.
World Health Organization. Coronavirus (COVID-19) Dashboard. Available from: https://covid19.who.int/.
World Health Organization. MODULE 2 - overview and outcomes - WHO vaccine safety basics. Available from: https://apps.who.int/iris/bitstream/handle/10665/340576/WHO-HIS-2013.06-eng.pdf?sequence=1&isAllowed=y.
Perry C, Mizer A, Wynn A, Kruczek C. Countering COVID-19 vaccine hesitancy. Southwest Respir Crit Care Chron 2020;8:32-46.
Bhatia A. Diseases V. Vaccine hesitancy: what it means and what we need to know in order to tackle it, expert explains. 2021. Available from: https://swachhindia.ndtv.com/vaccine-hesitancy-what-it-means-and-how-we-can-tackle-it-experts-explain-55729/.
MacDonald NE, SAGE Working Group on Vaccine Hesitancy. Vaccine hesitancy: definition, scope and determinants. Vaccine 2015;33:4161-4.
Butter S, McGlinchey E, Berry E, Armour C. Psychological, social, and situational factors associated with COVID-19 vaccination intentions: a study of UK key workers and non-key workers. Br J Health Psychol 2022;27:13-29.
Freeman D, Loe BS, Chadwick A, et al. COVID-19 vaccine hesitancy in the UK: the Oxford coronavirus explanations, attitudes, and narratives survey (OCEANS) II. Psychol Med 2022;52:3127-41.
Murphy J, Vallières F, Bentall RP, et al. Psychological characteristics associated with COVID-19 vaccine hesitancy and resistance in Ireland and the United Kingdom. Nat Commun 2021;12:29.
Detoc M, Bruel S, Frappe P, et al. Intention to participate in a COVID-19 vaccine clinical trial and to get vaccinated against COVID-19 in France during the pandemic. Vaccine 2020;38:7002-6.
Kreps S, Prasad S, Brownstein JS, et al. Factors associated with US adults’ likelihood of accepting COVID-19 vaccination. JAMA Netw Open 2020;3:e2025594.
Dasgupta P, Bhattacherjee S, Mukherjee A, Dasgupta S. Vaccine hesitancy for childhood vaccinations in slum areas of Siliguri, India. Indian J Public Health 2018;62:253-8.
Kabamba Nzaji M, Kabamba Ngombe L, Ngoie Mwamba G, et al. Acceptability of vaccination against COVID-19 among healthcare workers in the Democratic Republic of the Congo. Pragmatic Obs Res 2020;11:103-9.
Kwok KO, Li KK, Wei WI, et al. Influenza vaccine uptake, COVID-19 vaccination intention and vaccine hesitancy among nurses: a survey. Int J Nurs Stud 2021;114:103854.
Neumann S, Nirosha B, Varghese E, et al. Once we have it, will we use it? A European survey on willingness to be vaccinated against COVID‑19. Eur J Heal Econ 2020;21:977-82.
Lockyer B, Islam S, Rahman A, et al. Understanding COVID-19 misinformation and vaccine hesitancy in context: findings from a qualitative study involving citizens in Bradford, UK. Health Expect 2021;24:1158-67..
Rhodes A, Hoq M, Measey MA, Danchin M. Intention to vaccinate against COVID-19 in Australia. Lancet Infect Dis 2021;21:e110.
EpiCollect5. Free and easy-to-use mobile data-gathering platform. Available from: https://five.epicollect.net/. Accessed on: 9/05/2023.
Schernhammer E, Weitzer J, Laubichler MD, et al. Correlates of COVID-19 vaccine hesitancy in Austria: trust and the government. J Public Health (Oxf) 2022;44:e106-16.
Malik AA, Mcfadden SM, Elharake J, Omer SB. Determinants of COVID-19 vaccine acceptance in the US. EClinicalMedicine 2020;26:100495.
Sallam M, Dababseh D, Eid H, et al. High rates of COVID-19 vaccine hesitancy and its association with conspiracy beliefs: a study in Jordan and Kuwait among other Arab countries. Vaccines (Basel) 2021;9:42.
Wawrzuta D, Jaworski M, Gotlib J, Panczyk M. Characteristics of antivaccine messages on social media: systematic review. J Med Internet Res 2021;23:e24564.
Salali GD, Uysal MS. COVID-19 vaccine hesitancy is associated with beliefs on the origin of the novel coronavirus in the UK and Turkey. Psychol Med 2020;19:1-3.
Wright K. Researching internet-based populations: advantages and disadvantages of online survey research, online questionnaire authoring software packages, and web survey services. J Comput-Mediat Commun 2005;10:JCMC1034.
Dorman C, Perera A, Condon C, et al. Factors associated with willingness to be vaccinated against COVID-19 in a large convenience sample. J Community Health 2021;46:1013-9.
Gonzalez Block MA, Guiterrez Calderon E, Pelcastre Villafuerte B, et al. Influenza vaccination hesitancy in five countries of South America. Confidence, complacency and convenience as determinants of immunization rates. PloS One 2020;15:e0243833.
Moretti F, Sentin D, Bovolenta E, et al. Attitudes of nursing home staff towards influenza vaccination: opinions and factors influencing hesitancy. Int J Environ Res Public Health 2020;17:1851.
Bertram D. Likert Scales: CPSC 681- topic report. 2006. Available from: https://view.officeapps.live.com/op/view.aspx?src=http%3A%2F%2Fpages.cpsc.ucalgary.ca%2F~saul%2Fwiki%2Fuploads%2FCPSC681%2Ftopic-dane-likert.doc&wdOrigin=BROWSELIN. Accessed on: 9/05/2023.
Ethics Approval
The study received ethical approval from the Institute’s Ethical Committee [IEC/RAMA MED- ICAL COLLEGE/Estt. /Dean/2021/12033].How to Cite
Pundhir, Ashish, Abhishek Jaiswal, Poonam Kushwaha, Akhil Dhanesh Goel, Anju Gahlot, Lakshmi Singh, and Manmeet Kaur. 2023. “A Cross-Sectional Study on COVID-19 Vaccine Hesitancy in Peri-Urban Areas in Kanpur, Uttar Pradesh, India”. Monaldi Archives for Chest Disease 94 (1). https://doi.org/10.4081/monaldi.2023.2577.
Copyright (c) 2023 The Author(s)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
PAGEPress has chosen to apply the Creative Commons Attribution NonCommercial 4.0 International License (CC BY-NC 4.0) to all manuscripts to be published.
Similar Articles
- Neeta Singla, Amitesh Gupta, U.K. Khalid, Ravindra Kumar Dewan, Rupak Singla, Clinical profile, risk factors, disease severity, and outcome for COVID-19 disease in patients with tuberculosis on treatment under the National Tuberculosis Elimination Program: a cohort of 1400 patients , Monaldi Archives for Chest Disease: Early Access
- Neeti Rustagi, Yachana Choudhary, Shahir Asfahan, Kunal Deokar, Abhishek Jaiswal, Prasanna Thirunavukkarasu, Nitesh Kumar, Pankaja Raghav, Identifying psychological antecedents and predictors of vaccine hesitancy through machine learning: A cross sectional study among chronic disease patients of deprived urban neighbourhood, India , Monaldi Archives for Chest Disease: Vol. 92 No. 4 (2022)
- Deldar Morad Abdulah, Abbas Muhammed Sadiq Mirza, Receiving COVID-19 vaccine, hospitalization, and outcomes of patients with COVID-19: A prospective study , Monaldi Archives for Chest Disease: Vol. 93 No. 1 (2023)
- Megha Hegde, Saurav Raj, Dhananjay Tikadar, Sanatkumar B Nyamagoud, Unveiling vaccine safety: a narrative review of pharmacovigilance in India's COVID-19 vaccination , Monaldi Archives for Chest Disease: Early Access
- Tiziana Ciarambino, Elena Barbagelata, Graziamaria Corbi, Immacolata Ambrosino, Cecilia Politi, Franco Lavalle, Anna Ruggieri, Annamaria Moretti, Gender differences in vaccine therapy: where are we in COVID-19 pandemic? , Monaldi Archives for Chest Disease: Vol. 91 No. 4 (2021)
- Gaukhar Kurmanova, Almas Zhanaev, Akzharkyn Kaldybek, Balkiya Abdrakhmanova, Almira Akparova, Impact of the COVID-19 pandemic on the clinical features of patients with chronic obstructive pulmonary disease: an observational cross-sectional study , Monaldi Archives for Chest Disease: Early Access
- Rujittika Mungmunpuntipantip, Viroj Wiwanitkit, Comments on “Identifying psychological antecedents and predictors of vaccine hesitancy through machine learning: A cross sectional study among chronic disease patients of deprived urban neighbourhood, India” , Monaldi Archives for Chest Disease: Vol. 93 No. 1 (2023)
- Federico Raimondi, Stefano Centanni, Fabrizio Luppi, Stefano Aliberti, Francesco Blasi, Paola Rogliani, Claudio Micheletto, Marco Contoli, Alessandro Sanduzzi Zamparelli, Marialuisa Bocchino, Paolo Busatto, Luca Novelli, Simone Pappacena, Luca Malandrino, Giorgio Lorini, Greta Cairoli, Fabiano Di Marco, Respiratory rate-oxygenation index on the 3rd day is the best predictor of treatment failure in COVID-19 patients , Monaldi Archives for Chest Disease: Early Access
- M. Lusuardi, C. Lucioni, F. De Benedetto, S. Mazzi, C.M. Sanguinetti, C.F. Donner, GOLD severity stratification and risk of hospitalisation for COPD exacerbations , Monaldi Archives for Chest Disease: Vol. 69 No. 4 (2008): Pulmonary series
- Matteo Petroncini, Leonardo Valentini, Piergiorgio Solli, Pietro Bertoglio, Giant lung bulla as a late-onset complication of mild SARS-CoV-2 pneumonia , Monaldi Archives for Chest Disease: Vol. 94 No. 3 (2024)
You may also start an advanced similarity search for this article.
