Cited by 0

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Contextualizing future maternal RSV vaccination acceptance and trust among pregnant and lactating women in Kenya: A latent class analysis

Sauer, Molly A., Fesshaye, Berhaun, Miller, Emily S., Schue, Jessica L., Singh, Prachi, Jalang’o, Rose, Nyiro, Joyce, Karanja-Chege, Christine, Njogu, Rosemary, Were, Fred, Karron, Ruth A., Limaye, Rupali J.·2025·PLOS Global Public Health

Published version of a preprint

Abstract

Maternal vaccination, or vaccination in pregnancy, offers a critical opportunity to provide protection to pregnant women and simultaneously confer passive immunity to infants in the first months of life, when infections are particularly serious and their immune systems are still developing. Respiratory syncytial virus (RSV) is one such serious infectious disease for newborns, but a newly approved and recommended vaccine for respiratory syncytial virus has been designed to be given to pregnant women to protect their newborns from severe RSV disease when they are most vulnerable. While maternal vaccination has been used for tetanus, pertussis, influenza, COVID-19, and other diseases, vaccination in pregnancy can present unique challenges related to hesitancy and delivery, particularly in lower-resourced settings. Using data from a cross-sectional survey of 400 pregnant and lactating women in Nakuru and Mombasa Counties in Kenya, we examined perspectives related to maternal vaccination and RSV. We conducted a latent class analysis on 12 dichotomized knowledge, attitude, and belief items and then examined factors associated with class membership using a binary logistic regression. We identified two distinct archetypes among study subjects, maternal vaccine “questioners” and maternal vaccine “acceptors.” There was a notable difference in perceived vaccination-enabling social norms between “questioners” and “acceptors,” and participants using private health facilities were more likely to be in the “questioner” class compared to those using public facilities (aOR: 2.99, 95% CI: 1.32-6.77). This respondent-driven approach to identify groups that may require different communication strategies can help to shape efforts to target preparations for future RSV vaccine introduction in Kenya. Recognizing that “questioners” accounted for nearly one in four participants, these learnings can help to inform tailored health promotion strategies to support informed, confident maternal vaccination decision-making among providers, communities, and pregnant women and mitigate vaccination hesitancy and refusal.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1371/journal.pgph.0004505

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 1 references

Research works printed but not linked: 50

  1. F Villavicencio, 2024, Global, regional, and national causes of death in children and adolescents younger than 20 years: an open data portal with estimates for 2000-21, Lancet Glob Health, 12, 10.1016/S2214-109X(23)00496-5 · DOI
  2. Pneumonia Etiology Research for Child Health (PERCH) Study Group, 2019, Causes of severe pneumonia requiring hospital admission in children without HIV infection from Africa and Asia: the PERCH multi-country case-control study, Lancet, 394, 757, 10.1016/S0140-6736(19)30721-4 · DOI
  3. World Health Organization, 2024, Meeting of the Strategic Advisory Group of Experts on Immunization, September 2024: conclusions and recommendations, Wkly Epidemiol Rec, 99, 719
  4. NI Mazur, 2024, Severe respiratory syncytial virus infection in children: burden, management, and emerging therapies, Lancet, 404, 1143, 10.1016/S0140-6736(24)01716-1 · DOI
  5. X Wang, 2024, Global disease burden of and risk factors for acute lower respiratory infections caused by respiratory syncytial virus in preterm infants and young children in 2019: a systematic review and meta-analysis of aggregated and individual participant data, Lancet, 403, 1241, 10.1016/S0140-6736(24)00138-7 · DOI
  6. AR Falsey, 2000, Respiratory syncytial virus infection in adults, Clin Microbiol Rev, 13, 371, 10.1128/CMR.13.3.371 · DOI
  7. K Mulholland, 2016, Pneumonia in Children: Epidemiology, Prevention and Treatment
  8. Y Li, 2021, Respiratory syncytial virus seasonality and prevention strategy planning for passive immunisation of infants in low-income and middle-income countries: a modelling study, Lancet Infect Dis, 21, 1303, 10.1016/S1473-3099(20)30703-9 · DOI
  9. P Obando-Pacheco, 2018, Respiratory Syncytial Virus Seasonality: A Global Overview, J Infect Dis, 217, 1356, 10.1093/infdis/jiy056 · DOI
  10. Y Li, 2022, Global, regional, and national disease burden estimates of acute lower respiratory infections due to respiratory syncytial virus in children younger than 5 years in 2019: a systematic analysis, Lancet, 399, 2047, 10.1016/S0140-6736(22)00478-0 · DOI
  11. C Pecenka, 2024, Respiratory syncytial virus vaccination and immunoprophylaxis: realising the potential for protection of young children, Lancet, 404, 1157, 10.1016/S0140-6736(24)01699-4 · DOI
  12. C Pérez Casas, 2024, The Need for RSV Prophylaxis in LMICs, Pediatrics, 154, 10.1542/peds.2024-067062 · DOI
  13. BO Nyawanda, 2023, Estimates of the national burden of respiratory syncytial virus in Kenyan children aged under 5 years, 2010–2018, BMC Med, 21, 122, 10.1186/s12916-023-02787-w · DOI
  14. HJ Zar, 2024, Access to highly effective long-acting RSV-monoclonal antibodies for children in LMICs-reducing global inequity, Lancet Glob Health, 12
  15. H Marcotte, 2015, Passive immunization, Mucosal Immunol, 1403, 10.1016/B978-0-12-415847-4.00071-9 · DOI
  16. MK Slifka, 2018, Passive immunization, 84, 10.1016/B978-0-323-35761-6.00008-0 · DOI
  17. MP Griffin, 2020, Single-Dose Nirsevimab for Prevention of RSV in Preterm Infants, N Engl J Med, 383, 415, 10.1056/NEJMoa1913556 · DOI
  18. B Kampmann, 2023, Bivalent Prefusion F Vaccine in Pregnancy to Prevent RSV Illness in Infants, N Engl J Med, 388, 1451, 10.1056/NEJMoa2216480 · DOI · Paper page
  19. KE Fleming-Dutra, 2023, Use of the Pfizer respiratory syncytial virus vaccine during pregnancy for the prevention of respiratory syncytial virus-associated lower respiratory tract disease in infants: recommendations of the Advisory Committee on Immunization Practices - United States, 2023, MMWR Morb Mortal Wkly Rep, 72, 1115, 10.15585/mmwr.mm7241e1 · DOI
  20. E Zavala, 2022, Lack of clear national policy guidance on COVID-19 vaccines influences behaviors in pregnant and lactating women in Kenya, Hum Vaccin Immunother, 18, 2127561, 10.1080/21645515.2022.2127561 · DOI
  21. RJ Limaye, 2023, Characterizing Attitudes Toward Maternal RSV Vaccines Among Pregnant and Lactating Persons in Kenya: Key Considerations for Demand Generation Efforts for Vaccine Acceptance, J Pediatric Infect Diseases Soc [Internet], 12
  22. RJ Limaye, 2023, RSV awareness, risk perception, causes, and terms: Perspectives of pregnant and lactating women in Kenya to inform demand generation efforts for maternal RSV vaccines, Hum Vaccin Immunother, 19, 2258580, 10.1080/21645515.2023.2258580 · DOI
  23. P Singh, 2024, Maternal Immunization Decision-Making Among Pregnant and Lactating People in Kenya: A Qualitative Exploration of Peer Influences on Vaccine Decision-Making for a Future RSV Vaccine, Matern Child Health J, 28, 1822
  24. RJ Limaye, 2024, “Why has this new vaccine come and for what reasons?” key antecedents and questions for acceptance of a future maternal GBS vaccine: Perspectives of pregnant women, lactating women, and community members in Kenya, Hum Vaccin Immunother, 20, 2314826, 10.1080/21645515.2024.2314826 · DOI
  25. RJ Limaye, 2025, Understanding Kenyan policymakers’ perspectives about the introduction of new maternal vaccines, Health Policy Plan, 40, 23, 10.1093/heapol/czae059 · DOI
  26. JL Schue, 2024, COVID-19 vaccine preferences for pregnant and lactating women in Bangladesh and Kenya: a qualitative study, Front Public Health, 12, 1412878, 10.3389/fpubh.2024.1412878 · DOI
  27. DJ Opel, 2013, The relationship between parent attitudes about childhood vaccines survey scores and future child immunization status: a validation study, JAMA Pediatrics, 167, 1065, 10.1001/jamapediatrics.2013.2483 · DOI
  28. DJ Opel, 2011, Validity and reliability of a survey to identify vaccine-hesitant parents, Vaccine, 29, 6598, 10.1016/j.vaccine.2011.06.115 · DOI · Paper page
  29. DJ Opel, 2011, Development of a survey to identify vaccine-hesitant parents: the parent attitudes about childhood vaccines survey, Hum Vaccin, 7, 419, 10.4161/hv.7.4.14120 · DOI
  30. HJ Larson, 2015, Measuring vaccine confidence: introducing a global vaccine confidence index, PLoS Curr, 7
  31. PA Harris, 2009, Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support, J Biomed Inform, 42, 377, 10.1016/j.jbi.2008.08.010 · DOI · Paper page
  32. LK Muthén, 1998, Mplus User’s Guide
  33. StataCorp, 2024, Stata/SE 18.0 for Mac
  34. MC Maculaitis, 2024, A latent class analysis of factors influencing preferences for infant respiratory syncytial virus (RSV) preventives among pregnant people in the United States, Hum Vaccin Immunother, 20, 2358566, 10.1080/21645515.2024.2358566 · DOI
  35. MZ Dudley, 2020, Latent Class Analysis of Maternal Vaccine Attitudes and Beliefs, Health Educ Behav, 47, 765, 10.1177/1090198120939491 · DOI
  36. J Liu, 2024, Understanding the role of risk preferences and perceptions in vaccination decisions and post-vaccination behaviors among U.S. households, Sci Rep, 14, 3190, 10.1038/s41598-024-52408-6 · DOI
  37. MN Mohd Nazori, 2024, Mediational role of risk perception in the relationship between vaccination knowledge and intention, Clinical Epidemiol Global Health, 28, 101646, 10.1016/j.cegh.2024.101646 · DOI
  38. L Bond, 2011, Making sense of perceptions of risk of diseases and vaccinations: a qualitative study combining models of health beliefs, decision-making and risk perception, BMC Public Health, 11, 943, 10.1186/1471-2458-11-943 · DOI
  39. CL Jones, 2015, The Health Belief Model as an explanatory framework in communication research: exploring parallel, serial, and moderated mediation, Health Commun, 30, 566, 10.1080/10410236.2013.873363 · DOI
  40. IM Rosenstock, 1974, The health belief model and preventive health behavior, Health Education Monogr, 2, 354, 10.1177/109019817400200405 · DOI · Paper page
  41. E Karafillakis, 2021, ‘My primary purpose is to protect the unborn child’: Understanding pregnant women’s perceptions of maternal vaccination and vaccine trials in Europe, Vaccine, 39, 5673, 10.1016/j.vaccine.2021.07.099 · DOI
  42. AT Chamberlain, 2015, Factors Associated with Intention to Receive Influenza and Tetanus, Diphtheria, and Acellular Pertussis (Tdap) Vaccines during Pregnancy: A Focus on Vaccine Hesitancy and Perceptions of Disease Severity and Vaccine Safety, PLoS Curr, 7
  43. BO Nyawanda, 2023, Respiratory Syncytial Virus (RSV) Disease and Prevention Products: Knowledge, Attitudes, and Preferences of Kenyan Healthcare Workers in Two Counties in 2021, Vaccines (Basel), 11
  44. AK Moturi, 2022, Geographic accessibility to public and private health facilities in Kenya in 2021: An updated geocoded inventory and spatial analysis, Front Public Health, 10, 1002975, 10.3389/fpubh.2022.1002975 · DOI
  45. JR Cates, 2015, Social marketing to promote HPV vaccination in pre-teenage children: talk about a sexually transmitted infection, Hum Vaccin Immunother, 11, 347, 10.4161/21645515.2014.994458 · DOI
  46. DJ Opel, 2009, Social marketing as a strategy to increase immunization rates, Arch Pediatr Adolesc Med, 163, 432, 10.1001/archpediatrics.2009.42 · DOI
  47. R Firestone, 2017, The effectiveness of social marketing in global health: a systematic review, Health Policy Plan, 32, 110, 10.1093/heapol/czw088 · DOI
  48. IS Coffie, 2022, Using social marketing to demystify the myths surrounding covid-19 vaccination: The mediating role of important others, Social Market Quart, 28, 169, 10.1177/15245004221097802 · DOI
  49. JR Harris, 2012, Addressing inequities in access to health products through the use of social marketing, community mobilization, and local entrepreneurs in rural western Kenya, Int J Popul Res, 2012, 470598
  50. LC Potts, 2021, Evaluation of anti-stigma social marketing campaigns in Ghana and Kenya: Time to Change Global, BMC Public Health, 21, 886, 10.1186/s12889-021-10966-8 · DOI

Metadata

Authors
Sauer, M. A., Fesshaye, B., Miller, E. S., Schue, J. L., Singh, P., Jalang’o, R., Nyiro, J., Karanja-Chege, C., Njogu, R., Were, F., Karron, R. A., & Limaye, R. J.
Venue
PLOS Global Public Health
Published
2025-08-28
Volume
5
Issue
8
Pages
e0004505
ISSN
2767-3375
Cited by
0
References
1
Language
en
Funders
Bill and Melinda Gates Foundation (INV-016977)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Contextualizing future maternal RSV vaccination acceptance and trust among pregnant and lactating women in Kenya: A latent class analysis. https://app.cochat.ai/papers/10.1371/journal.pgph.0004505
The paper
Sauer, M. A., Fesshaye, B., Miller, E. S., Schue, J. L., Singh, P., Jalang’o, R., Nyiro, J., Karanja-Chege, C., Njogu, R., Were, F., Karron, R. A., & Limaye, R. J. (2025). Contextualizing future maternal RSV vaccination acceptance and trust among pregnant and lactating women in Kenya: A latent class analysis. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0004505