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      COVID-19 vaccine acceptance and associated factors among adult clients at public hospitals in eastern Ethiopia using the health belief model: multicentre cross-sectional study

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          Abstract

          Objective

          Immunization is still one of the best ways to reduce viral-related morbidity and mortality. Therefore, this study aimed to assess COVID-19 vaccine acceptance and associated factors among adult clients at public hospitals in Eastern Ethiopia.

          Method

          A multicentred facility-based cross-sectional study design was utilised. The systematic random sampling technique was used to select 420 study participants. The characteristics of individuals were described using descriptive statistical analysis such as frequency, median and IQR. Mean was used for health belief model components. The association was assessed using bivariate and multivariable logistic regression and described by the OR along with a 95% CI. Finally, a p-value<0.05 in the adjusted analysis was used to declare a significant association.

          Outcome measure

          COVID-19 vaccine acceptance and associated factors.

          Result

          A total of 412 adult clients were interviewed, with a response rate of 98.1%. Of the total study participants, 225 (54.6%; 95% CI: 50.0% to - 59.7%) were willing to accept the COVID-19 vaccine. Age≥46 (adjusted OR, AOR=3.64, 95% CI: 1.35 - to 9.86), college and above level of education (AOR=2.50, 95% CI: 1.30 - to 4.81), having health insurance (AOR=1.79, 95% CI: 1.11 - to 2.87) and experiencing chronic disease (AOR=1.96, 95% CI: 1.02 - to 3.77) were predictor variables. Also, components of the health belief model were significantly associated with COVID-19 vaccine acceptance.

          Conclusion

          COVID-19 vaccine acceptance among the adult population was low compared to other study. Factors associated with COVID-19 vaccine acceptance were age, college and above level of education, having a chronic disease, having health insurance, perceived susceptibility, perceived severity, perceived benefit and perceived barrier.

          Improving awareness about COVID-19 among all sections of the population is crucial to improving vaccine acceptability.

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          Most cited references49

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          Vaccine hesitancy: Definition, scope and determinants.

          The SAGE Working Group on Vaccine Hesitancy concluded that vaccine hesitancy refers to delay in acceptance or refusal of vaccination despite availability of vaccination services. Vaccine hesitancy is complex and context specific, varying across time, place and vaccines. It is influenced by factors such as complacency, convenience and confidence. The Working Group retained the term 'vaccine' rather than 'vaccination' hesitancy, although the latter more correctly implies the broader range of immunization concerns, as vaccine hesitancy is the more commonly used term. While high levels of hesitancy lead to low vaccine demand, low levels of hesitancy do not necessarily mean high vaccine demand. The Vaccine Hesitancy Determinants Matrix displays the factors influencing the behavioral decision to accept, delay or reject some or all vaccines under three categories: contextual, individual and group, and vaccine/vaccination-specific influences.
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            On the origin and continuing evolution of SARS-CoV-2

            ABSTRACT The SARS-CoV-2 epidemic started in late December 2019 in Wuhan, China, and has since impacted a large portion of China and raised major global concern. Herein, we investigated the extent of molecular divergence between SARS-CoV-2 and other related coronaviruses. Although we found only 4% variability in genomic nucleotides between SARS-CoV-2 and a bat SARS-related coronavirus (SARSr-CoV; RaTG13), the difference at neutral sites was 17%, suggesting the divergence between the two viruses is much larger than previously estimated. Our results suggest that the development of new variations in functional sites in the receptor-binding domain (RBD) of the spike seen in SARS-CoV-2 and viruses from pangolin SARSr-CoVs are likely caused by mutations and natural selection besides recombination. Population genetic analyses of 103 SARS-CoV-2 genomes indicated that these viruses evolved into two major types (designated L and S), that are well defined by two different SNPs that show nearly complete linkage across the viral strains sequenced to date. Although the L type (∼70%) is more prevalent than the S type (∼30%), the S type was found to be the ancestral version. Whereas the L type was more prevalent in the early stages of the outbreak in Wuhan, the frequency of the L type decreased after early January 2020. Human intervention may have placed more severe selective pressure on the L type, which might be more aggressive and spread more quickly. On the other hand, the S type, which is evolutionarily older and less aggressive, might have increased in relative frequency due to relatively weaker selective pressure. These findings strongly support an urgent need for further immediate, comprehensive studies that combine genomic data, epidemiological data, and chart records of the clinical symptoms of patients with coronavirus disease 2019 (COVID-19).
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              A global database of COVID-19 vaccinations

              An effective rollout of vaccinations against COVID-19 offers the most promising prospect of bringing the pandemic to an end. We present the Our World in Data COVID-19 vaccination dataset, a global public dataset that tracks the scale and rate of the vaccine rollout across the world. This dataset is updated regularly and includes data on the total number of vaccinations administered, first and second doses administered, daily vaccination rates and population-adjusted coverage for all countries for which data are available (169 countries as of 7 April 2021). It will be maintained as the global vaccination campaign continues to progress. This resource aids policymakers and researchers in understanding the rate of current and potential vaccine rollout; the interactions with non-vaccination policy responses; the potential impact of vaccinations on pandemic outcomes such as transmission, morbidity and mortality; and global inequalities in vaccine access.
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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2023
                23 March 2023
                23 March 2023
                : 13
                : 3
                : e070551
                Affiliations
                [1 ]School of Nursing and Midwifery, College of Health and Medical Sciences, Haramaya University , Harar, Ethiopia
                [2 ]Ringgold_334286Haramaya University School of Nursing and Midwifery , Dire Dawa, Dire Dawa, Ethiopia
                [3 ]School of Medical Laboratory Science, College of Health and Medical Sciences, Haramaya University , Haramaya, Oromia, Ethiopia
                [4 ]Ringgold_487507Assosa University , Asosa, Benishangul Gumuz, Ethiopia
                [5 ]School of Public Health, College of Health and Medical Sciences, Haramaya University , Haramaya, Oromia, Ethiopia
                Author notes
                [Correspondence to ] Abraham Negash; harmee121@ 123456gmail.com
                Author information
                http://orcid.org/0000-0002-0057-9062
                http://orcid.org/0000-0001-9406-1979
                http://orcid.org/0000-0002-2871-9450
                http://orcid.org/0000-0001-6087-1682
                http://orcid.org/0000-0002-3147-3770
                http://orcid.org/0000-0003-3921-0518
                Article
                bmjopen-2022-070551
                10.1136/bmjopen-2022-070551
                10039978
                36958789
                b8564443-36a8-4ce7-b017-c2fa479f887c
                © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See:  http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 26 November 2022
                : 14 March 2023
                Categories
                Public Health
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                Original research
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                Medicine
                covid-19,infectious diseases,infection control,preventive medicine,health & safety,public health

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