IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v15y2018i12p2694-d186385.html
   My bibliography  Save this article

A Comparison between the Predictors of Vaccine Uptake Intentions for Influenza and Dengue

Author

Listed:
  • Chitra Panchapakesan

    (Nanyang Technological University, Wee Kim Wee School of Communication and Information, Singapore 637718, Singapore)

  • Anita Sheldenkar

    (Nanyang Technological University, Wee Kim Wee School of Communication and Information, Singapore 637718, Singapore)

  • Ysa Marie Cayabyab

    (Nanyang Technological University, Wee Kim Wee School of Communication and Information, Singapore 637718, Singapore)

  • Janelle Shaina Ng

    (Nanyang Technological University, Wee Kim Wee School of Communication and Information, Singapore 637718, Singapore)

  • Jiahui Lu

    (Nanyang Technological University, Wee Kim Wee School of Communication and Information, Singapore 637718, Singapore)

  • May O. Lwin

    (Nanyang Technological University, Wee Kim Wee School of Communication and Information, Singapore 637718, Singapore)

Abstract

Infectious diseases have a huge health and economic burden globally. Vaccination has been found to be a crucial health intervention for diseases. The study aims to compare the drivers of vaccine uptake for influenza and dengue, and to understand the key drivers within each of the diseases in predicting vaccine uptake intentions. Data were collected from 1000 Singaporeans and Singapore permanent residents between the ages of 21 and 70 through face to face surveys. Overall, intention to get vaccinated was low for both diseases. Comparing the means between the knowledge and perceptions regarding influenza and dengue and their vaccine uptake intentions, perceived susceptibility was significantly higher for influenza than dengue; and perceived severity, knowledge of the disease, and benefits of the vaccine were significantly higher for dengue. Looking at the key drivers within the diseases, perceived susceptibility towards the diseases and benefits of the vaccine were positively associated with vaccination uptake intentions for influenza and dengue. Perceived barriers towards the vaccine were negatively associated with vaccine uptake for dengue. Programs conducted for public health promotion should focus on increasing the public’s awareness of the susceptibility and seriousness of the diseases, and the benefits of getting vaccinated.

Suggested Citation

  • Chitra Panchapakesan & Anita Sheldenkar & Ysa Marie Cayabyab & Janelle Shaina Ng & Jiahui Lu & May O. Lwin, 2018. "A Comparison between the Predictors of Vaccine Uptake Intentions for Influenza and Dengue," IJERPH, MDPI, vol. 15(12), pages 1-10, November.
  • Handle: RePEc:gam:jijerp:v:15:y:2018:i:12:p:2694-:d:186385
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/15/12/2694/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/15/12/2694/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chi Zhang, 2017. "Population in China," Europe-Asia Studies, Taylor & Francis Journals, vol. 69(8), pages 1333-1334, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ordoñez, Pablo J., 2020. "Power Plants, Air Pollution, and Health in Colombia," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304284, Agricultural and Applied Economics Association.
    2. Jia Zhang & Xiaoshu Chen & Shiwei Huang & Yi Wang & Wei Lin & Rui Zhou & He Zou, 2018. "Two-minute walk test: Reference equations for healthy adults in China," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-10, August.
    3. Zhongqiang Bai & Juanle Wang & Mingming Wang & Mengxu Gao & Jiulin Sun, 2018. "Accuracy Assessment of Multi-Source Gridded Population Distribution Datasets in China," Sustainability, MDPI, vol. 10(5), pages 1-15, April.
    4. Zhen Wang & Mingzhi Hu & Yu Zhang & Zhuo Chen, 2022. "Housing Security and Settlement Intentions of Migrants in Urban China," IJERPH, MDPI, vol. 19(16), pages 1-16, August.
    5. Yanjun Yang & Rui Xue & Dong Yang, 2020. "Does market segmentation necessarily discourage energy efficiency?," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-19, May.
    6. Yishu, Li, 2019. "A photovoltaic ecosystem: improving atmospheric environment and fighting regional poverty," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 69-79.
    7. Wen Liu & Guosheng Han & Xiangzi Yan & Xuan Zhang & Guangjie Ning & Armigon Ravshanovich Akhmedov & William Cannon Hunter, 2021. "The Impact of Mental Health Status on Health Consumption of the Elderly in China," IJERPH, MDPI, vol. 18(12), pages 1-17, June.
    8. Huimin Du & Jing Song & Si-ming Li, 2021. "‘Peasants are peasants’: Prejudice against displaced villagers in newly-built urban neighbourhoods in China," Urban Studies, Urban Studies Journal Limited, vol. 58(8), pages 1598-1614, June.
    9. Luyao Wang & Hong Fan & Yankun Wang, 2018. "Estimation of consumption potentiality using VIIRS night-time light data," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-19, October.
    10. Pengyu Chen & Guanglin He & Xing Zou & Mengge Wang & Fuquan Jia & Huiru Bai & Jida Li & Jian Yu & Yanyan Han, 2018. "Forensic characterization and genetic polymorphisms of 19 X-chromosomal STRs in 1344 Han Chinese individuals and comprehensive population relationship analyses among 20 Chinese groups," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-21, September.
    11. Ling Zhang & Xiaodong Tan, 2021. "Educational Assortative Mating and Health: A Study in Chinese Internal Migrants," IJERPH, MDPI, vol. 18(4), pages 1-14, February.
    12. Bin Du & Ying Wang & Jiaxin He & Wai Li & Xiaohong Chen, 2021. "Spatio-Temporal Characteristics and Obstacle Factors of the Urban-Rural Integration of China’s Shrinking Cities in the Context of Sustainable Development," Sustainability, MDPI, vol. 13(8), pages 1-16, April.
    13. Dianxi Wang & Yufeng Zhao, 2021. "A potential new pattern of pathway to adulthood is emerging in China," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 44(42), pages 1023-1056.
    14. JIANG, Qijun & FLORKOWSKI, Wojciech Jan, 2021. "Factors Limiting Quality Assurance Program Implementation In Food Manufacturing Companies In Shanghai, China," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 24(1), March.
    15. Jinjing Wu & Shelby Deaton & Boshen Jiao & Zohn Rosen & Peter A Muennig, 2018. "The cost-effectiveness analysis of the New Rural Cooperative Medical Scheme in China," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-13, December.
    16. Xin Lao & Hengyu Gu, 2020. "Unveiling various spatial patterns of determinants of hukou transfer intentions in China: A multi‐scale geographically weighted regression approach," Growth and Change, Wiley Blackwell, vol. 51(4), pages 1860-1876, December.
    17. Youliang Jin & Chen Cheng & Huixiang Zeng, 2020. "Is evil rewarded with evil? The market penalty effect of corporate environmentally irresponsible events," Business Strategy and the Environment, Wiley Blackwell, vol. 29(3), pages 846-871, March.
    18. Zhishan Ma & Susu Zhang & Sidong Zhao, 2021. "Study on the Spatial Pattern of Migration Population in Egypt and Its Flow Field Characteristics from the Perspective of “Source-Flow-Sink”," Sustainability, MDPI, vol. 13(1), pages 1-27, January.
    19. Jin Liu & Bingdong Hou & Xiao-Wei Ma & Hua Liao, 2018. "Solid fuel use for cooking and its health effects on the elderly in rural China," CEEP-BIT Working Papers 111, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    20. Jaqueson K. Galimberti, 2020. "Forecasting GDP Growth from Outer Space," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(4), pages 697-722, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:15:y:2018:i:12:p:2694-:d:186385. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.