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. 2025 Jul 9;8(7):e71018. doi: 10.1002/hsr2.71018

COVID‐19 and Influenza Vaccine Uptake Among Nurses and Children Living in Their Households: A Cross‐Sectional Study

Filip Viskupič 1,, David L Wiltse 2, Thomas E Stenvig 3
PMCID: PMC12239152  PMID: 40636536

ABSTRACT

Background

Children are at lower risk from influenza and COVID‐19 than other age groups, but they can still be affected. Some adults, including healthcare workers, developed negative attitudes toward COVID‐19 vaccines during the COVID‐19 pandemic, which might lead to lowered pediatric vaccine uptake. We investigated COVID‐19 and seasonal flu vaccine uptake among nurses and children living in their households.

Methods

Using contact information from the state professional licensing body, we recruited 677 nurses from South Dakota with children living in their households to participate in an online survey. Data were collected in May 2024. The survey included questions regarding parental and pediatric vaccine uptake and social and political factors associated with vaccine hesitancy. We used logistic regression to analyze the data.

Results

We found that 64% were vaccinated for influenza and 18% of children were vaccinated for COVID‐19. The pediatric uptake of both vaccines was associated with parental COVID‐19 vaccination status and partially with influenza vaccination status. Nurses who identified with the Republican Party reported lowered vaccination rates for children living in their households.

Conclusions

Overall, we found low COVID‐19 and flu vaccination rates among children in our sample.

Keywords: COVID‐19 vaccination, healthcare workers, influenza vaccination, pediatric vaccine hesitancy, political partisanship

1. Introduction

While children are generally at lower risk from influenza and COVID‐19 than other age cohorts, they can still be affected. According to a report by the American Academy of Pediatrics, 234,000 children were hospitalized with COVID‐19 from fall 2020 to spring 2024 [1]. No fewer than 194 pediatric deaths due to COVID‐19 were reported during the 2023–2024 vaccination season, an increase from the previous season [2]. Vaccines can reliably protect children from influenza and COVID‐19, and the Centers for Disease Control and Prevention (CDC) has long recommended that children receive influenza vaccination annually. In 2024, the CDC advised that children 6 months and older receive the updated COVID‐19 vaccine [3].

Despite recommendations from federal healthcare authorities supporting it, vaccination was a controversial issue during the COVID‐19 pandemic in the United States. COVID‐19 vaccines were developed at an accelerated pace, leading to questions about vaccine safety. The spread of misinformation [4] and political attacks [5] undermined people's trust and confidence in COVID‐19 vaccines. Negative attitudes toward COVID‐19 vaccines might affect people's preferences toward receiving other vaccines. Research showed that adults who did not receive a COVID‐19 vaccine were less likely to receive the flu vaccine [6]. Some experts warned that society has entered a ‘vaccine hesitant moment’ [7].

One downstream consequence of increased COVID‐19 vaccine hesitancy among adults might be lower pediatric vaccine uptake, particularly for vaccines not required to attend school. According to one report, routine childhood vaccination rates decreased in the United States and other countries following the outbreak of COVID‐19 [8]. For example, adolescents aged 13 were less likely to receive the HPV vaccine in the post‐COVID‐19 pandemic period compared to a cohort before the pandemic [9]. At the same time, the number of reports about the adverse side effects of MMR vaccination increased dramatically [10].

This study investigated the personal pediatric flu and COVID‐19 vaccination decisions of healthcare workers (HCWs) in the post‐COVID‐19 pandemic period. We focused on one established vaccine and one new vaccine subjected to a high degree of controversy and politicization during the pandemic. Our study measured pediatric vaccine uptake, while most studies examining parental vaccine hesitancy were based on survey questions measuring parental vaccination attitudes. While vaccination intentions are a good predictor of vaccination behavior, it is not always the case [11]. We analyzed the data and explored the social and political correlates of children's vaccine uptake, which were identified by the extant literature [12, 13, 14].

We focused on vaccine uptake among children living in the households of nurses. Most parental vaccine hesitancy studies are based on general population samples, and studies based on surveys of HCWs are infrequent [15, 16], particularly U.S.‐based studies [17]. Nurses have advanced medical education and serve as advisors and consultants when parents make vaccination decisions for their children. Understanding nurses' pediatric vaccination decisions can help public health officials and administrators develop strategies and create resources that educate nurses and the public about the benefits of vaccination.

2. Data and Methods

2.1. Data Collection

The data came from a larger cross‐sectional survey of nurses in South Dakota fielded by the authors. The survey explored nurses' attitudes toward various issues, including health, which we reported in this study. We obtained the list of all registered nurses (RNs) and licensed practical nurses (LPNs) with contact information from the South Dakota Board of Nursing. Using the listed email addresses, on May 1, 2024, we emailed all RNs and LPNs an invitation to participate in an online survey. A total of 21,300 invitation emails were sent. Two reminders were emailed before the survey closed on May 13, 2024. The response rate was 9%. The survey was hosted on the QuestionPro platform, and each email included a personalized link to access the survey. Survey settings prevented participants from taking the survey multiple times and non‐invitees from accessing the survey. Participants provided consent to participate before starting the survey. Respondents did not receive compensation for completing the survey. The authors secured approval from South Dakota State University's institutional review board before fielding the survey.

2.2. Measures

Participants provided information about their age, gender, ethnicity, education, and political self‐identification. They also answered questions about the presence of children in the household, and the flu and COVID‐19 vaccination status of these children. The survey also included questions measuring their own COVID‐19 vaccination status, flu vaccination status, the presence of COVID‐19 and flu vaccine mandates in the work setting, and an attention check question. Due to space limitations, we provide the full text of all questions used in this analysis in the appendix.

2.3. Analysis

The participants who reported having a child in their household and who passed the attention check were kept in the sample. We first described the data and then estimated two multivariate logistic regressions given the binary dependent variables. In the first model, the child's COVID‐19 vaccination status was the dependent variable, and the other variables were entered simultaneously as independent variables, except mandatory flu vaccination in the work setting. In the second model, the child's flu vaccination status was the dependent variable, and the other variables were entered simultaneously as independent variables, except the COVID‐19 vaccine mandate in the work setting. We created dummy variables for participants with Republican party affiliation, independents, and those who declined to answer, with Democrat party affiliation as the reference category. We reported adjusted odds ratios and 95% confidence intervals. Missing data were handled via case‐wise deletion. The analysis was not pre‐registered. We used STATA 18 for all analyses [18].

3. Results

Of the 1,908 responses in the survey, 677 participants indicated having children in their household. Of these, the 644 who passed the attention check question were kept in the final sample. Of these participants, the average age was 40 years, 93% identified as White, 88% identified as women, and 73% received at least a bachelor's degree. A majority (86%) received a flu vaccination during the 2023–2024 vaccination season; 12% did not receive a COVID‐19 vaccination, 5% received one dose, 34% completed the initial series, 30% received a booster dose, and 19% received multiple booster doses. Over 17% of participants identified with the Democratic Party, 44% with the Republican Party, 19% as independent, and 20% declined to provide their partisan self‐identification. Over 18% of children received a COVID‐19 vaccination, and 64% received a flu vaccination. We provided further details in Table S1.

As shown in Table 1, the child's uptake of COVID‐19 vaccine was strongly associated with the nurse's COVID‐19 vaccination status (aOR: 5.19, 95% CI: 3.58–7.52), and indicators for Republicans (aOR: 0.39, 95% CI: 0.21–0.72) and independents (aOR: 0.42, 95% CI: 0.19–0.92). The associations with other variables were not statistically significant. The McFadden's R‐squared value was 0.3149.

Table 1.

Correlates of pediatric flu and COVID‐19 vaccine uptake.

COVID‐19 vaccine uptake Flu vaccine uptake
aOR p 95% CI aOR p 95% CI
Parental COVID‐19 vaccination status 5.19 < 0.01 [3.58,7.52] 1.81 < 0.01 [1.49,2.19]
Parental flu vaccination status 2.95 0.17 [0.62,13.95] 8.85 < 0.01 [4.08,19.18]
Republican self‐identification 0.39 < 0.01 [0.21,0.72] 0.48 0.03 [0.25,0.93]
Independent 0.42 0.03 [0.19,0.92] 0.34 < 0.01 [0.16,0.69]
Decline to answer 1.14 0.74 [0.53,2.44] 0.45 0.03 [0.22,0.92]
Mandatory flu vaccination at work 0.81 0.4 [0.49,1.34]
Mandatory COVID‐19 vaccination at work 1.36 0.29 [0.78,2.37]
Parental age 0.99 0.69 [0.96,1.03] 0.96 < 0.01 [0.94,0.98]
White ethnicity 1.2 0.73 [0.43,3.35] 2.14 0.05 [1.00,4.60]
Male gender 1.86 0.09 [0.91,3.82] 1.56 0.19 [0.81,3.01]
Education 1.06 0.71 [0.79,1.42] 1.42 < 0.01 [1.13,1.79]
Pseudo R‐square 0.31 0.23
Observations 611 614

The child's uptake of flu vaccine was also related to the respondent's COVID‐19 vaccination status (aOR: 1.81, 95% CI: 1.49–2.19), parental flu vaccination status (aOR: 8.85, 95% CI: 4.08–19.18), indicators for Republican (aOR: 0.48, 95% CI: 0.25–0.93), independent (aOR: 0.34, 95% CI: 0.16–0.69), refusal to disclose partisan self‐identification (aOR: 0.45, 95% CI: 0.22–0.92), parental age (aOR: 0.96, 95% CI: 0.94–0.98), and education status (aOR: 1.42, 95% CI: 1.13–1.79). The McFadden's R‐squared value was 0.2280.

4. Discussion

The results make several contributions to the extant scholarship on vaccine hesitancy and will interest researchers and public health officials. First, we found lower vaccination rates for COVID‐19 than for flu among children living in respondents' households. The finding suggests that the respondents do not appear to be opposed to children in their households receiving vaccinations per se; rather, they might have lingering concerns about COVID‐19 vaccines and their safety for children. As scholars reported, COVID‐19 vaccines were the target of misinformation and partisan attacks during the COVID‐19 pandemic, undermining people's confidence in COVID‐19 vaccination [4, 5]. These concerns likely persist over time despite strong CDC recommendation from fall 2023 that children receive a COVID‐19 vaccination during the 2023–2024 vaccination season [19]. Flu vaccines for children, on the other hand, are more established and were not subjected to the same misinformation during the COVID‐19 pandemic, likely explaining the higher flu vaccination rate among children in our sample.

We found COVID‐19 vaccine uptake was lower compared to results in a similar study of nurses from summer 2022 conducted in the same state that reported that more than half of the respondents' children received a COVID‐19 vaccine [17]. It is possible that children received a COVID‐19 vaccine during the pandemic, but then as the perceived threat posed by the virus subsided, children did not receive additional doses, an example of what public health authorities refer to as ‘vaccine fatigue’ [20].

Second, we found that respondents' own vaccination status was linked to child vaccination status, which is in line with existing studies [21, 22, 23], including studies that focused on flu vaccination among children [24, 25]. Studies conducted during the COVID‐19 pandemic showed that HCWs [26, 27] and nurses [17] who received a COVID‐19 vaccination were more likely to vaccinate the children in their households for COVID‐19. Overall, it seems respondents make vaccination decisions for family as a unit, so if they are vaccinated, they also vaccinate the children in their homes. There is likely an underlying parental attitude toward vaccines determining whether both the parent and the child will get vaccinated. Some have referred to this group as “vaccine enthusiasts” [28]. This finding suggests that any strategy to increase flu and COVID‐19 vaccination rates among children should focus on vaccinating the heads of households first. If the probability of parents getting vaccinated increases, the vaccination of their children will likely follow suit.

Third, the results showed that parental political partisanship in this group of nurses was associated with children's flu and COVID‐19 vaccination status. Compared to the nurses who identified with the Democratic Party, those who identified with the Republican Party or as independent, were less likely to vaccinate their children. Scholars showed that during the COVID‐19 pandemic, Republican parents [29, 30, 31], including those who are nurses [17], were less likely to vaccinate their children for COVID‐19. Other studies have shown a link between trust in political institutions and parental willingness to vaccinate children against COVID‐19 [29, 32, 33]. Our results show that political partisanship effects have persisted even after the end of the pandemic, a time when COVID‐19 vaccines are no longer subject to the same degree of attention in the media. We also found very similar results regarding flu vaccine uptake among children. Even though flu vaccination was not politicized as much as COVID‐19 vaccination during the pandemic and has been an established pediatric vaccination, the vaccination rates of children in our respondents' homes are structured by partisanship – almost as strongly as COVID‐19 vaccination. This finding suggests that when it comes to vaccination decisions for children, nurses are not immune from political influences, and partisanship plays a role just as in the general population. Public health authorities and vaccine advocates ought to recognize this fact as they craft outreach efforts to bolster vaccination rates.

5. Conclusion

We reported the findings of a survey on COVID‐19 and seasonal flu vaccine uptake among nurses and the children living in their households. Most studies exploring parental vaccine hesitancy are based on general population samples, and studies based on nurse sample are less common, as nurses who are parents can be a more challenging population to recruit. For this reason, the existing studies examining parental vaccine hesitancy among HCWs are often based on small samples [34, 35], which can raise questions regarding the findings. Although limited to a single state, our sample size is comparatively large. Our recruitment method and the fact that we did not provide financial incentives give us confidence results were not swayed by fraud or impersonation, which can be a problem in surveys of hard‐to‐reach populations [36, 37].

We report study limitations that can help guide further research on pediatric vaccine uptake. The findings were limited by a survey response rate of 9%, which while low, was consistent with similar studies using the same participant recruitment approach [17]. The design of our study did not allow us to ask follow‐up questions on why some respondents did not vaccinate their children. We encourage other investigators to do so in the context of an in‐depth interview and to focus on the parents who vaccinated their children for flu but not for COVID‐19. Such granular data would help develop strategies to boost pediatric COVID‐19 vaccine uptake. We also did not collect information about the child's health besides flu and COVID‐19 vaccine uptake. Researchers should consider exploring how the child's health and potential health conditions might affect parental decision‐making regarding the child's vaccination. We also caution against interpreting our estimates as causal effects. Further analysis is needed to explore the causal relationships that underlie the associations between parental vaccination status, presence of vaccination mandate at work, partisan self‐identification, and children's vaccination status explored in this study.

Author Contributions

Filip Viskupič: conceptualization, writing – original draft, writing – review and editing, formal analysis, investigation, methodology. David L. Wiltse: data curation, conceptualization, methodology, investigation, writing – review and editing. Thomas E. Stenvig: conceptualization, methodology, investigation, writing – review and editing.

Ethics Statement

Authors received approval from the Institutional Review Board at South Dakota State University before conducting the study.

Consent

Respondents provided implied consent before participating in the study.

Transparency statement

The lead author Filip Viskupič affirms that this manuscript is an honest, accurate, and transparent account of the study being reported; that no important aspects of the study have been omitted; and that any discrepancies from the study as planned (and, if relevant, registered) have been explained.

Supporting information

online appendix.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

References

  • 1.AAP, AAP Analyzes Pediatric COVID‐19 Hospitalizations From 2020‐'24. 2024.
  • 2.CDC, FluView Summary Ending on Ending August 10, 2024. Centers for Disease Control and Prevention, 2024.
  • 3.CDC, CDC Recommends Updated 2024‐2025 COVID‐19 and Flu Vaccines for Fall/Winter Virus Season. 2024.
  • 4. Skafle I., Nordahl‐Hansen A., Quintana D. S., Wynn R., and Gabarron E., “Misinformation About COVID‐19 Vaccines on Social Media: Rapid Review,” Journal of Medical Internet Research 24, no. 8 (2022): e37367. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Gadarian S. K., Goodman S. W., and Pepinsky T. B., Pandemic Politics: The Deadly Toll of Partisanship in the Age of COVID , in Pandemic Politics (Princeton University Press, 2022). [Google Scholar]
  • 6. Garza N., Leibensperger M., and Bonnevie E., “The Association Between Receiving the Flu and COVID‐19 Vaccines and Related Factors, Data From the StopFlu Campaign in Eight States and the District of Columbia, 2022,” Journal of Community Health 48, no. 4 (2023): 731–739. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Larson H. J., Gakidou E., and Murray C. J. L., “The Vaccine‐Hesitant Moment,” New England Journal of Medicine 387, no. 1 (2022): 58–65. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Vojtek I., van Wouw M., and Thomson A., “Impact of COVID‐19 on Vaccine Confidence and Uptake: A Systematic Literature Review,” Human Vaccines & Immunotherapeutics 20, no. 1 (2024): 2384180. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Pingali C., Yankey D., Chen M., et al., “National Vaccination Coverage Among Adolescents Aged 13–17 Years — National Immunization Survey‐Teen, United States, 2023,” MMWR. Morbidity and Mortality Weekly Report 73 (2024): 708–714. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Motta M., “Is Partisan Conflict Over COVID‐19 Vaccination Eroding Support for Childhood Vaccine Mandates?,” NPJ Vaccines 8, no. 1 (2023): 5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Lehmann B. A., Ruiter R. A. C., Chapman G., and Kok G., “The Intention to Get Vaccinated Against Influenza and Actual Vaccination Uptake of Dutch Healthcare Personnel,” Vaccine 32, no. 51 (2014): 6986–6991. [DOI] [PubMed] [Google Scholar]
  • 12. Szilagyi P. G., Thomas K., Shah M. D., et al., “The Role of Trust in the Likelihood of Receiving a COVID‐19 Vaccine: Results From a National Survey,” Preventive Medicine 153 (2021): 106727. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Klein L. M., Habib D. R. S., Edwards L. V., et al., “Parents' Trust in COVID‐19 Messengers and Implications for Vaccination,” American Journal of Health Promotion 38, no. 3 (2024): 364–374. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Viswanath K., Bekalu M., Dhawan D., Pinnamaneni R., Lang J., and McLoud R., “Individual and Social Determinants of COVID‐19 Vaccine Uptake,” BMC Public Health 21, no. 1 (2021): 818. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Hassan A. M., Abd‐ElMohsen S. A., and Elhay H. A. A., “Pediatric Nurses' Acceptance and Attitudes Toward COVID‐19 Vaccines for Their Children at Assiut University Children Hospital: A Cross‐Sectional Study,” Journal of Pediatric Nursing 78 (2024): e206–e212. [DOI] [PubMed] [Google Scholar]
  • 16. Gönüllü E., Soysal A., Atıcı S., et al., “Pediatricians' COVID‐19 Experiences and Views on the Willingness to Receive COVID‐19 Vaccines: A Cross‐Sectional Survey in Turkey,” Human Vaccines & Immunotherapeutics 17, no. 8 (2021): 2389–2396. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Viskupič F. and Wiltse D. L., “COVID‐19 Parental Vaccine Hesitancy Among Nurses in the State of South Dakota,” Journal of Community Health 48, no. 2 (2023): 245–251. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. StataCorp L., Stata statistical Software: Release 18 College Station (TX StataCorp LP, 2023). [Google Scholar]
  • 19.CDC, CDC Recommends Updated COVID‐19 Vaccine for Fall/Winter Virus Season. 2023.
  • 20. Su Z., Cheshmehzangi A., McDonnell D., da Veiga C. P., and Xiang Y. T., “Mind the ‘Vaccine Fatigue’,” Frontiers in Immunology 13 (2022): 839433. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Oladejo O., Allen K., Amin A., Frew P. M., Bednarczyk R. A., and Omer S. B., “Comparative Analysis of the Parent Attitudes About Childhood Vaccines (PACV) Short Scale and the Five Categories of Vaccine Acceptance Identified by Gust et al.,” Vaccine 34, no. 41 (2016): 4964–4968. [DOI] [PubMed] [Google Scholar]
  • 22. Argyris Y. A., Kim Y., Roscizewski A., and Song W., “The Mediating Role of Vaccine Hesitancy Between Maternal Engagement With Anti‐ and Pro‐Vaccine Social Media Posts and Adolescent HPV‐Vaccine Uptake Rates in the US: The Perspective of Loss Aversion in Emotion‐Laden Decision Circumstances,” Social Science & Medicine (1982) 282 (2021): 114043. [DOI] [PubMed] [Google Scholar]
  • 23. Dubé È., Farrands A., Lemaitre T., et al., “Overview of Knowledge, Attitudes, Beliefs, Vaccine Hesitancy and Vaccine Acceptance Among Mothers of Infants in Quebec, Canada,” Human Vaccines & Immunotherapeutics 15, no. 1 (2019): 113–120. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Santibanez T. A., Nguyen K. H., Greby S. M., et al., “Parental Vaccine Hesitancy and Childhood Influenza Vaccination,” Pediatrics 146, no. 6 (2020): e2020007609. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Williams J. T. B., Rice J. D., Lou Y., et al., “Parental Vaccine Hesitancy and Risk of Pediatric Influenza Under‐Vaccination in a Safety‐Net Health Care System,” Academic Pediatrics 21, no. 7 (2021): 1126–1133. [DOI] [PubMed] [Google Scholar]
  • 26. Wang Z., She R., Chen X., et al., “Parental Acceptability of COVID‐19 Vaccination for Children Under the Age of 18 Years Among Chinese Doctors and Nurses: A Cross‐Sectional Online Survey,” Human Vaccines & Immunotherapeutics 17, no. 10 (2021): 3322–3332. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Kadam K. S., Himanshi A., and Uttarwar P., “Covid‐19 Vaccine Hesitancy for Children in Parents: A Cross‐Sectional Survey Among Healthcare Professionals in India,” supplement, Indian Journal of Psychiatry 64, no. Suppl 3 (2022): S565. [Google Scholar]
  • 28. Lee A. Y., Wang J., Böckenholt U., et al., “The Enthusiasts and the Reluctants of COVID‐19 Vaccine Uptake: A Cluster Analysis,” Journal of the Association for Consumer Research 7, no. 2 (2022): 222–234. [Google Scholar]
  • 29. Milan S. and Dáu A. L. B. T., “The Role of Trauma in Mothers' COVID‐19 Vaccine Beliefs and Intentions,” Journal of Pediatric Psychology 46, no. 5 (2021): 526–535. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Willis D. E., Schootman M., Shah S. K., et al., “Parent/Guardian Intentions to Vaccinate Children Against COVID‐19 in the United States,” Human Vaccines & Immunotherapeutics 18, no. 5 (2022): 2071078. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Tom Mueller J., Tickamyer A., Thiede B. C., Schafft K., and Graefe A., “Social and Political Correlates of Adult and Dependent‐Child COVID‐19 Vaccination Behavior in Rural America,” Preventive Medicine Reports 41 (2024): 102706. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Wimberly C. E., Towry L., Davis E., Johnston E. E., and Walsh K. M., “SARS‐CoV‐2 Vaccine Acceptability Among Caregivers of Childhood Cancer Survivors,” Pediatric Blood & Cancer 69, no. 6 (2022): 29443. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Yu H., Bauermeister J. A., Oyiborhoro U., et al., “Trust in Federal COVID‐19 Vaccine Oversight and Parents' Willingness to Vaccinate Their Children Against COVID‐19: A Cross‐Sectional Study,” BMC Public Health 24, no. 1 (2024): 830. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Elizondo‐Alzola U., G. Carrasco M., Pinós L., Picchio C. A., Rius C., and Diez E., “Vaccine Hesitancy Among Paediatric Nurses: Prevalence and Associated Factors,” PLoS One 16, no. 5 (2021): e0251735. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Vaghela G., Shukla A., Dave D. J., and Lamichhane A., “Healthcare Professionals' Acceptance of COVID‐19 Vaccination for Their Children: A Cross‐Sectional Study at a Tertiary Care Hospital in Western India,” Health Science Reports 7, no. 1 (2024): e1821. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Bell A. M. and Gift T., “Fraud in Online Surveys: Evidence From a Nonprobability, Subpopulation Sample,” Journal of Experimental Political Science 10, no. 1 (2023): 148–153. [Google Scholar]
  • 37. Ibarra J. L., Agas J. M., Lee M., Pan J. L., and Buttenheim A. M., “Comparison of Online Survey Recruitment Platforms for Hard‐to‐Reach Pregnant Smoking Populations: Feasibility Study,” JMIR Research Protocols 7, no. 4 (2018): e8071. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

online appendix.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.


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