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. 2023 Apr 19;11(4):868.
doi: 10.3390/vaccines11040868.

Examining the Impact of Key Factors on COVID-19 Vaccination Coverage in India: A PLS-SEM Approach

Veena Dhawan  1 , Mahesh Kumar Aggarwal  1 , Pritu Dhalaria  2 , Preeti Kharb  2 , Deepika Sharma  3 , Kamala Kannan Dinesh  3 , Sanjay Dhir  3 , Sushil  3 , Gunjan Taneja  4 , Raj Shankar Ghosh  5
Affiliations

Examining the Impact of Key Factors on COVID-19 Vaccination Coverage in India: A PLS-SEM Approach

Veena Dhawan et al. Vaccines (Basel). .

Abstract

During the coronavirus disease 2019 (COVID-19) pandemic, numerous factors determined the performance of COVID-19 vaccination coverage. The purpose of this study is to examine the influence of factors such as government stewardship, planning and implementation, and community participation on COVID-19 vaccination coverage. This study applied partial least square structured equation modeling (PLS-SEM) by analyzing 187 responses from the stakeholders involved in vaccination programs in four select states of India. This study empirically validates a framework for improving vaccination coverage by confirming the significant impact of planning and implementation on vaccination coverage followed by government stewardship and community participation. Additionally, this study highlights the individual impact of each factor on vaccination coverage. Based on the findings, strategic recommendations were proposed that can be utilized for formulating policy-level actions to facilitate the vaccination program.

Keywords: COVID-19; India; community participation; government stewardship; partial least square; vaccination coverage.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Model for empirical testing.
Figure 2
Figure 2
Empirical validation of the model.
See this image and copyright information in PMC

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