Communicating COVID-19 Vaccine Safety: Knowledge and Attitude Among Residents of South East, Nigeria

Anorue, Luke Ifeanyi; Ugwu, Alphonsus; Ugboaja, Stanley U.; Nwabunze, Uzoma O; Ugwulor-Onyinyechi, Chinyere Christiana; Njoku, Chioma

doi:10.2147/idr.s329183

Cited by 13 publications

(16 citation statements)

References 61 publications

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“…This is consistent with reports of similar studies that concluded that people who are more trusting in science and fear suffering from COVID-19 are in favour of getting the vaccination [2,14,21,25]. "People with a higher level of education are more inclined to believe in science because of their educational experience" [13,22,26].…”

Section: Discussionsupporting

confidence: 90%

“…"Achieving a high rate of vaccination is deemed a key to successfully combat the COVID-19 pandemic" [10]. "Efforts have been made in many countries to distribute vaccines against the virus to people at high risk of a severe or fatal course of the disease as well as to the rest of the population" [11][12][13]. "However, high vaccination rates are not solely the result of availability, effectiveness, and safety of vaccines, but also of people's willingness to get vaccinated" [10,11].…”

Section: Discussionmentioning

confidence: 99%

“…This finding indicates that majority of the undergraduates sampled in the study had good knowledge and reliable sources on the information about COVID-19. The relatively high proportion of persons with good knowledge of COVID-19 could be attributed to the efficacy and consistency of awareness campaigns carried out during the early stages of the pandemic in Nigeria and other parts of the world as well [2,13,15].…”

Section: Discussionmentioning

confidence: 99%

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Knowledge, Atitude and Uptake of COVID-19 Vaccine among Undergradute Students in Southern Nigeria

Bademosi

Sokolo

Austin-Asomeji

et al. 2022

AJMAH

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Aim: The study was carried out to assess the knowledge, attitude, and uptake of the COVID-19 vaccine among undergraduate students in a tertiary institution in Southern Nigeria. Study Design: Cross-sectional study Place and Duration of Study: Rivers State University, June, 2022 Method: A validated self-administered questionnaire was used to obtain information on the knowledge, attitude, and uptake of the COVID-19 vaccine among 410 undergraduate students. The data collected was analyzed with the statistical package for social sciences (SPSS) v25 software at a 95% confidence interval. Results: The study showed that only 16.5% of the students indicated willingness to take the COVID-19 vaccine, while 95.1% had a good knowledge of COVID-19. It was also observed that 75.1% of the students had good knowledge of the COVID-19 vaccine, while only 50.7% of the students had good/positive attitude to the COVID-19 vaccine and 49.3% of the students had a poor attitude to the COVID-19 vaccine. Regression analysis showed that Male gender was 1.5 times (95% C.I; 0.8 – 2.6) more likely to take the vaccine, while persons that had a comfortable income level were 1.6 times (95% C.I; 0.9 – 2.7) more likely to take the vaccine. It was also observed that good knowledge of COVID-19 was significantly associated with the willingness to take the vaccine (Chi-square = 6.80, p = 0.009). The findings of the study showed that the high level of good knowledge of COVID-19 did not correspond with the willingness to take the vaccine among the students. Conclusion: The poor attitude towards the vaccine is relatively high among the students, making it imperative for an improved awareness on the vaccine safety and efficacy among undergraduate students to improve vaccine coverage and reach some sort of herd immunity for the COVID-19 viral infection in the country

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Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Knowledge, Atitude and Uptake of COVID-19 Vaccine among Undergradute Students in Southern Nigeria

Bademosi

Sokolo

Austin-Asomeji

et al. 2022

AJMAH

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“…With this, the doubt of the Filipinos on the side effects and its effectiveness is evident. In addition [50], [51] found that most of their respondents did not know the safety, efficacy, and side effects of the COVID-19 vaccine. Also, in the interview made by [41] about the reason for refusing the COVID-19 vaccine, their participants stated that they did not have enough information about the vaccine.…”

Section: Hesitancy Of the Respondents On Getting Vaccinated By The Co...mentioning

confidence: 99%

COVID-19 vaccine hesitancy among the university students and personnel

Santiago

Santos²,

Gamit³

2023

IJPHS

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A delay in accepting or refusing a vaccination despite the availability of vaccination services is described as vaccine hesitancy. The vaccine hesitancy among the Filipinos is a significant challenge to achieving herd immunity. Thus, this study was conducted to determine the COVID-19 vaccine hesitancy of Nueva Ecija University of Science and Technology students and staff. Total sampling and descriptive study methodology were employed. To gather information about the profile, information sources, and hesitation regarding the COVID-19 vaccine, a questionnaire was created. Both informed consent and permission to conduct were secured. Researchers used a variety of statistical tools to assess the data. The respondents’ likely reasons to get vaccinated were to protect themselves and others, and the recommendation from a healthcare provider can help encourage those hesitant to get vaccinated. Moreover, the main reasons for their hesitancy were their fear of the side effects, and poor knowledge about the vaccine. With this, educational programs meant to educate those individuals who had vaccine hesitancy must be conducted. Moreover, vaccine hesitancy must be monitored, as it is expected to vary over time. Therefore, campaigns to disseminate the importance of the vaccine in the nation's public health must be continuously conducted for all types of diseases.<br /><div><div><div id="_com_2" class="msocomtxt"></div></div></div><div><div><div id="_com_2" class="msocomtxt"></div></div></div>

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“…In time series forecasting, the ARIMA model is the most used method to handle linear information, whereas ANN S methods are adept at solving nonlinear problems, and the nonlinear autoregressive artificial neural network (NARANN) model has been demonstrated to have excellent mimic and prediction performances among ANNs models because this model has embedded memory function with the help of the tapped delay lines 45 . Therefore, the present study developed a novel mixture prediction model by considering the respective superiority of the EEMD, ARIMA, and NARANN in addressing time series forecasting issues to estimate the epidemiological trends of the COVID-19 prevalence and mortality in South Africa and Nigeria, the hardest-hit two countries with the outbreak in Africa 2 , 46 . Specifically, first, applying the EEMD technique to decompose the daily prevalence and mortality series into several Intrinsic Mode Functions (IMFs) subseries together with a residue subseries representing the trend of the data.…”

Section: Introductionmentioning

confidence: 99%

Estimating the COVID-19 prevalence and mortality using a novel data-driven hybrid model based on ensemble empirical mode decomposition

Wang

Yao

et al. 2021

Sci Rep

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In this study, we proposed a new data-driven hybrid technique by integrating an ensemble empirical mode decomposition (EEMD), an autoregressive integrated moving average (ARIMA), with a nonlinear autoregressive artificial neural network (NARANN), called the EEMD-ARIMA-NARANN model, to perform time series modeling and forecasting based on the COVID-19 prevalence and mortality data from 28 February 2020 to 27 June 2020 in South Africa and Nigeria. By comparing the accuracy level of forecasting measurements with the basic ARIMA and NARANN models, it was shown that this novel data-driven hybrid model did a better job of capturing the dynamic changing trends of the target data than the others used in this work. Our proposed mixture technique can be deemed as a helpful policy-supportive tool to plan and provide medical supplies effectively. The overall confirmed cases and deaths were estimated to reach around 176,570 [95% uncertainty level (UL) 173,607 to 178,476] and 3454 (95% UL 3384 to 3487), respectively, in South Africa, along with 32,136 (95% UL 31,568 to 32,641) and 788 (95% UL 775 to 804) in Nigeria on 12 July 2020 using this data-driven EEMD-ARIMA-NARANN hybrid technique. The contributions of this study include three aspects. First, the proposed hybrid model can better capture the dynamic dependency characteristics compared with the individual models. Second, this new data-driven hybrid model is constructed in a more reasonable way relative to the traditional mixture model. Third, this proposed model may be generalized to estimate the epidemic patterns of COVID-19 in other regions.

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Communicating COVID-19 Vaccine Safety: Knowledge and Attitude Among Residents of South East, Nigeria

Cited by 13 publications

References 61 publications

Knowledge, Atitude and Uptake of COVID-19 Vaccine among Undergradute Students in Southern Nigeria

Knowledge, Atitude and Uptake of COVID-19 Vaccine among Undergradute Students in Southern Nigeria

COVID-19 vaccine hesitancy among the university students and personnel

Estimating the COVID-19 prevalence and mortality using a novel data-driven hybrid model based on ensemble empirical mode decomposition

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