1,720,954 research outputs found
Determinants of Covid-19 Vaccine Uptake Among Adults in Mwala Sub County, Machakos County, Kenya
No full textCOVID-19 has had immense negative effects on different populations both economically and socially. Since the pandemic started in 2019, it has caused numerous deaths and lowered quality of life among various victims and survivors. In efforts to contain the pandemic, virologists and vaccine manufacturers have worked and invented different COVID-19 vaccine variants with diverse but remarkably good levels of efficacy against the disease. Despite the Kenyan government’s efforts to make the vaccines available to the eligible population, vaccine hesitancy and refusal has brought about poor uptake hence slowing down the vaccination process. In this regard, the broad objective was to investigate the determinants of COVID-19 vaccine uptake among adults. The specific objectives were to identify the individual, administrative, social, and demographic factors that influence COVID-19 vaccine uptake among adults in Mwala Sub-county. It engaged the adult population residing in Mwala sub-county, Machakos County, Kenya as the study participants only. Analytical cross-sectional study design was used to achieve these objectives. Ethical clearance was issued by Mount Kenya University Ethical Review Committee and NACOSTI before data collection. The study targeted residents of Mwala Sub-county aged above 18 years of age. Data collection was carried out by means of structured questionnaires administered to 384 respondents and key informant interview guides that engaged six informants. The questionnaire respondents were sampled using systematic random sampling method from individuals visiting the six vaccination centres in the Sub-county. The process adhered to ethical considerations of informed consent, confidentiality, and anonymity. Data analysis was done with the aid of the SPSS software version 26. Descriptive analysis was conducted to describe the socio-demographic findings of the study as well as COVID-19 vaccine uptake of the respondents. Uptake of the first dose was 46.60% while fully vaccinated individuals were 11.70% of the total number of respondents. The association between some variables was identified through Chi-square test of association at significance level p=0.05. There were statistically significant associations between the outcome variable (COVID-19 vaccine uptake) and demographic predictors of age (χ2=15.524, df=3, P=0.001), sex (χ2=5.250, df=1, P=0.022), education level (χ2=107.556, df=3, P<0.001), and marital status (χ2=35.328, df=3, P<0.001). Additionally, social factors such as dependence on unreliable sources of information (χ2=32.904, df=3, P<0.001), collective responsibility of getting vaccinated to protect others (χ2=292.931, df=3, P<0.001), and religious teachings (χ2=11.763, df=1, p=0.001) also exhibited significant associations. Among predictors of low vaccine uptake was individual factors of susceptibility perception (χ2=189.471, df=1, p<0.001), severity perception (χ2=234.515, df=3, P<0.001), safety concerns (χ2=277.624, df=3, P<0.001), and perception that the vaccine benefits did not outdo associated side effects (χ2=277.624, df=3, P<0.001). Administrative factors of vaccine stock-outs (OR = 0.86, 95% CI 0.82 – 0.90) and long queues (OR=0.87, CI 95% 0.83–0.90) were not significantly related to the outcome variable. The study concludes that the vaccine uptake in Mwala is generally low. To overcome the low vaccine uptake, the government should incorporate COVID-19 vaccination into the existing routine vaccination schedule and address conspiracy theories revolving around the vaccine in various social media sites during health education and awareness vaccination campaigns
Determinants of Covid-19 Vaccine Uptake among Adults in Mwala Subcounty, Machakos County, Kenya
Full text linkCOVID-19 has had immense negative effects on different populations both economically and socially. Since the pandemic started in 2019, it has caused numerous deaths and lowered quality of life among various victims and survivors. In efforts to contain the pandemic, virologists and vaccine manufacturers have worked and invented different COVID-19 vaccine variants with diverse but remarkably good levels of efficacy against the disease. Despite the Kenyan government’s efforts to make the vaccines available to the eligible population, vaccine hesitancy and refusal has brought about poor uptake hence slowing down the vaccination process. In this regard, the broad objective was to investigate the determinants of COVID-19 vaccine uptake among adults. The specific objectives were to identify the individual, administrative, social, and demographic factors that influence COVID-19 vaccine uptake among adults in Mwala Sub-county. It engaged the adult population residing in Mwala sub-county, Machakos County, Kenya as the study participants only. Analytical cross-sectional study design was used to achieve these objectives. Ethical clearance was issued by Mount Kenya University Ethical Review Committee and NACOSTI before data collection. The study targeted residents of Mwala Sub-county aged above 18 years of age. Data collection was carried out by means of structured questionnaires administered to 384 respondents and key informant interview guides that engaged six informants. The questionnaire respondents were sampled using systematic random sampling method from individuals visiting the six vaccination centres in the Sub-county. The process adhered to ethical considerations of informed consent, confidentiality, and anonymity. Data analysis was done with the aid of the SPSS software version 26. Descriptive analysis was conducted to describe the socio-demographic findings of the study as well as COVID-19 vaccine uptake of the respondents. Uptake of the first dose was 46.60% while fully vaccinated individuals were 11.70% of the total number of respondents. The association between some variables was identified through Chi-square test of association at significance level p=0.05. There were statistically significant associations between the outcome variable (COVID-19 vaccine uptake) and demographic predictors of age (χ2=15.524, df=3, P=0.001), sex (χ2=5.250, df=1, P=0.022), education level (χ2=107.556, df=3, P<0.001), and marital status (χ2=35.328, df=3, P<0.001). Additionally, social factors such as dependence on unreliable sources of information (χ2=32.904, df=3, P<0.001), collective responsibility of getting vaccinated to protect others (χ2=292.931, df=3, P<0.001), and religious teachings (χ2=11.763, df=1, p=0.001) also exhibited significant associations. Among predictors of low vaccine uptake was individual factors of susceptibility perception (χ2=189.471, df=1, p<0.001), severity perception (χ2=234.515, df=3, P<0.001), safety concerns (χ2=277.624, df=3, P<0.001), and perception that the vaccine benefits did not outdo associated side effects (χ2=277.624, df=3, P<0.001). Administrative factors of vaccine stock-outs (OR = 0.86, 95% CI 0.82 – 0.90) and long queues (OR=0.87, CI 95% 0.83–0.90) were not significantly related to the outcome variable. The study concludes that the vaccine uptake in Mwala is generally low. To overcome the low vaccine uptake, the government should incorporate COVID-19 vaccination into the existing routine vaccination schedule and address conspiracy theories revolving around the vaccine in various social media sites during health education and awareness vaccination campaigns
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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