Dataset Information

Willingness to Vaccinate Children against Influenza after the Coronavirus Disease 2019 Pandemic.

ABSTRACT:

Objectives

To determine factors associated with parents who plan to vaccinate their children against influenza next year, especially those who did not vaccinate against influenza last year using a global survey.

Study design

A survey of caregivers accompanying their children aged 1-19 years old in 17 pediatric emergency departments in 6 countries at the peak of the coronavirus disease 2019 (COVID-19) pandemic. Anonymous online survey included caregiver and child demographic information, vaccination history and future intentions, and concern about the child and caregiver having COVID-19 at the time of emergency department visit.

Results

Of 2422 surveys, 1314 (54.2%) caregivers stated they plan to vaccinate their child against influenza next year, an increase of 15.8% from the previous year. Of 1459 caregivers who did not vaccinate their children last year, 418 (28.6%) plan to do so next year. Factors predicting willingness to change and vaccinate included child's up-to-date vaccination status (aOR 2.03, 95% CI 1.29-3.32, P = .003); caregivers' influenza vaccine history (aOR 3.26, 95% CI 2.41-4.40, P < .010), and level of concern their child had COVID-19 (aOR 1.09, 95% CI 1.01-1.17, P = .022).

Conclusions

Changes in risk perception due to COVID-19, and previous vaccination, may serve to influence decision-making among caregivers regarding influenza vaccination in the coming season. To promote influenza vaccination among children, public health programs can leverage this information.

SUBMITTER: Goldman RD

PROVIDER: S-EPMC7410815 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

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Publications

Willingness to Vaccinate Children against Influenza after the Coronavirus Disease 2019 Pandemic.

Goldman Ran D RD McGregor Sophie S Marneni Shashidhar R SR Katsuta Tomohiro T Griffiths Mark A MA Hall Jeanine E JE Seiler Michelle M Klein Eileen J EJ Cotanda Cristina Parra CP Gelernter Renana R Hoeffe Julia J Davis Adrienne L AL Gualco Gianluca G Mater Ahmed A Manzano Sergio S Thompson Graham C GC Ahmed Sara S Ali Samina S Brown Julie C JC

The Journal of pediatrics 20200807

<h4>Objectives</h4>To determine factors associated with parents who plan to vaccinate their children against influenza next year, especially those who did not vaccinate against influenza last year using a global survey.<h4>Study design</h4>A survey of caregivers accompanying their children aged 1-19 years old in 17 pediatric emergency departments in 6 countries at the peak of the coronavirus disease 2019 (COVID-19) pandemic. Anonymous online survey included caregiver and child demographic inform ...[more]

PMID: 32771480

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Project description:This study aimed to analyze stressors to which medical staff is vulnerable due to the coronavirus disease 2019 (COVID-19) pandemic. It also imposes a hierarchy on complex relations among stressors for excavating underlying structure and builds a model of interrelationships contrasting reality. The design of this study comprises a literature survey, data collection from primary sources, and analysis. Stressors have been explored from within current published/unpublished literature and validated by experts through approval vote. Data were collected from the focus group (panel of experts), and interpretive structural modeling (ISM) was used as the research methodology. Findings of ISM are avowed through "cross-impact matrix multiplication applied to classification" (MICMAC) analysis. As a result of the literature survey, a list of stressors was generated, and a total of 19 stressors qualified as representative of the phenomenon. The results of ISM show that two stressors (i.e., "unavailability of proper personal protective equipment (PPE)" and "lack of proper communication") emerged as the most critical stressors since they occupy the bottom of the model, whereas, four stressors (i.e., "anxious about isolation/quarantine," "subject to violent crimes," "feeling frustrated and powerless," and "exhausting shifts/hours without clear end") are relatively less critical since they occupy the top of the model. The rest of the stressors occupy the middle of the model and therefore, have moderate-severe effects on frontline soldiers. The results of MICMAC show that the stressor "subject to violent crimes" is classified in the dependent cluster and the remaining fall in the linkage cluster but no stressor falls in independent and autonomous. Overall results indicate that all stressors are relevant to the phenomenon under this study, but they are currently not settled. This study is invaluable for policymakers, frontline soldiers, researchers, the international community, and society since it provides a lot of new information that is helpful in refining strategies and combating influential stressors.

Project description:ObjectiveEthiopia is planning to vaccinate 20% of its population against the coronavirus disease 2019 pandemic by the end of 2021-however, there is no single piece of evidence regarding pregnant women's intention to be vaccinated against coronavirus disease 2019; hence, the objective of this study was to investigate predicting factors of intention to be vaccinated against coronavirus disease 2019 among pregnant women in Bench-Sheko Zone, southwest Ethiopia.MethodsFacility-based cross-sectional study was undertaken from 1 February to 1 March 2021 in southwest Ethiopia. The study was carried out among pregnant women who came for antenatal care service in the selected public health facilities. Interviewer-administered structured tool was used to collect the data. Data were entered into EpiData (version 3.1) and then analyzed using SPSS (version 20).ResultsThe study revealed that only 31.3% (95% confidence interval: 26.7-35.2) of the participants had an intention to be vaccinated against coronavirus disease 2019 when the vaccine will be made available in Ethiopia. Participants' intention to be vaccinated against coronavirus disease 2019 was significantly associated with attaining secondary school and above (adjusted odds ratio = 4.24, 95% confidence interval: 2.23-9.32), residing in urban areas (adjusted odds ratio = 2.57, 95% confidence interval: 1.22-5.40), being compliant with coronavirus disease 2019 guidelines (adjusted odds ratio = 5.86, 95% confidence interval: 3.40-10.09), and having good perception toward coronavirus disease 2019 vaccine (adjusted odds ratio = 3.04, 95% confidence interval: 1.64-5.62).ConclusionAbove all, in this study, pregnant women's intention to vaccinate against coronavirus disease 2019 was very low when compared with previous studies. Hence, before commencing the coronavirus disease 2019 vaccination program in Ethiopia, it is essential to launch a widespread public health education campaign that could improve people's perception of the vaccine. Besides, the upcoming public health intervention programs better put special emphasis on community members with lower educational attainment backgrounds and rural residents.

Dataset Information

Willingness to Vaccinate Children against Influenza after the Coronavirus Disease 2019 Pandemic.

Objectives

Study design

Results

Conclusions

Publications

Willingness to Vaccinate Children against Influenza after the Coronavirus Disease 2019 Pandemic.

Similar Datasets

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