Exploring interrelationships between structural, social, and biological determinants of vaccine impact in Kenya and Uganda: VAnguard community mixed methods study protocol

<ns7:p>Background The key principle underlying the UN Sustainable Development Goals is to “leave no one behind”. However, following the COVID-19 pandemic, sub-optimal vaccine coverage is a continuing concern in low-and middle-income countries (LMICs) and there is increasing evidence of impaired vaccine immunogenicity and efficacy in LMICs, compared to high-income countries (HICS) and in rural, compared to urban settings. It is documented that countries with the lowest vaccination coverage suffer the highest health inequalities. For vaccines to achieve their full health benefit, structural, social and biological determinants that impair vaccine impact must be concurrently addressed. This study aims to explore how structural, social and biological determinants interact to influence vaccine impact in vulnerable communities across Kenya and Uganda. By understanding these interactions, we can develop strategies to improve vaccine impact in vulnerable populations. Methods The study will utilise a cross-sectional mixed-methods design. It will be conducted in three counties in Kenya (Kilifi, Kwale and Kisumu) and three districts in Uganda (Kampala, Kikuube and Namayingo). We will conduct (i) in-depth interviews, (ii) focus group discussions (FGDs) with key community stakeholders, and (iii) a household-based quantitative survey where blood and stool samples of 1032 participants (172 in each community) will be collected. Samples will be used to measure proxy markers of reduced vaccine coverage and impaired vaccine immunogenicity. Conclusions The results of this study will identify potential determinants of vaccine impact that are modifiable. This evidence will be used in the development of a modelling framework to assess the likely impact of interventions targeting specific determinants of impact, both solely and concertedly, and how these might be tailored to different communities.</ns7:p>

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Publication Details

Journal
NIHR Open Research
Published
2025-06-24
DOI
https://doi.org/10.3310/nihropenres.13925.1
Citations
1
Primary Topic
Vaccine Coverage and Hesitancy
Type
article
Field-Weighted Citation Impact
2.17

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article

Exploring interrelationships between structural, social, and biological determinants of vaccine impact in Kenya and Uganda: VAnguard community mixed methods study protocol

Pontiano Kaleebu, Kelvin M. Abuga, Noni Mumba, Emily L. Webb et al.
1 citations
NIHR Open Research
Vaccine Coverage and Hesitancy
2.17
article

Exploring interrelationships between structural, social, and biological determinants of vaccine impact in Kenya and Uganda: VAnguard community mixed methods study protocol

Pontiano Kaleebu, Kelvin M. Abuga, Noni Mumba, Emily L. Webb, Gyaviira Nkurunungi, Bridgious Walusimbi, Monica Chibita, Maureen Njue, David Kaawa–Mafigiri, Denis Nsubuga, Agnes Natukunda, Alison M. Elliott, Henry Karanja, Robinah Nalwanga, Anthony Etyang, Flavia Zalwango, Claire Baine, Esther Awuor Owino, Ludoviko Zirimenya, Sarah H. Atkinson, Caroline Trotter, Primus Che, Dorcas Kamuya, Christine Kukundakwe, Winnie Eoju
article en
1 citations

Abstract

<ns7:p>Background The key principle underlying the UN Sustainable Development Goals is to “leave no one behind”. However, following the COVID-19 pandemic, sub-optimal vaccine coverage is a continuing concern in low-and middle-income countries (LMICs) and there is increasing evidence of impaired vaccine immunogenicity and efficacy in LMICs, compared to high-income countries (HICS) and in rural, compared to urban settings. It is documented that countries with the lowest vaccination coverage suffer the highest health inequalities. For vaccines to achieve their full health benefit, structural, social and biological determinants that impair vaccine impact must be concurrently addressed. This study aims to explore how structural, social and biological determinants interact to influence vaccine impact in vulnerable communities across Kenya and Uganda. By understanding these interactions, we can develop strategies to improve vaccine impact in vulnerable populations. Methods The study will utilise a cross-sectional mixed-methods design. It will be conducted in three counties in Kenya (Kilifi, Kwale and Kisumu) and three districts in Uganda (Kampala, Kikuube and Namayingo). We will conduct (i) in-depth interviews, (ii) focus group discussions (FGDs) with key community stakeholders, and (iii) a household-based quantitative survey where blood and stool samples of 1032 participants (172 in each community) will be collected. Samples will be used to measure proxy markers of reduced vaccine coverage and impaired vaccine immunogenicity. Conclusions The results of this study will identify potential determinants of vaccine impact that are modifiable. This evidence will be used in the development of a modelling framework to assess the likely impact of interventions targeting specific determinants of impact, both solely and concertedly, and how these might be tailored to different communities.</ns7:p>

NIHR Open ResearchVol. 5
University of London (GB), University of Cambridge (GB), Angkor Hospital for Children (KH), Kenya Medical Research Institute (KE), University of Oxford (GB), London School of Hygiene & Tropical Medicine (GB), Makerere University (UG), Uganda Virus Research Institute (UG), Uganda Christian University (UG)
World Health Organization, London School of Hygiene and Tropical Medicine, Wellcome Trust, Government of the United Kingdom, National Institute for Health and Care Research, Ministry of Health, Uganda, Uganda National Council for Science and Technology, Medical Research Council
Openalex Percentile: Top 14%
Vaccine Coverage and Hesitancy
2.17
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