Graduate Student Attitudes toward Different Instructional Approaches within Face-to-Face, Online, and Blended Learning Environments in a Public Four-Year Institution of Higher Learning

This study compared graduate student attitudes toward different instructional approaches within online, blended, and face-to-face courses in a public institution of higher learning. The participants completed an online survey questionnaire that was designed by the researcher using 4 learning theories in education: behavioral, cognitive, constructivism, and humanistic (Merriam, Caffarella, & Baumgartner, 2007) approaches toward teaching and learning. There were 210 total responses from graduate students enrolled during 2013 spring semester. There were more female (71.4%) than male (28.6%) students who responded. Previous studies have compared face-to-face (F2F) and online methods of instructions and have shown mixed results. Whereas some studies have shown F2F instructional methods as favorable to students, others found no differences between F2F and online methods. This study was guided by 4 research questions. Analysis of variance (ANOVA) and t test statistical procedures were used to analyze the data. The findings of this study showed significant differences in students’ preference in instructional methods and in instructional approaches (behavioral, humanistic, cognitive, and constructivist). The study found that full-time graduate students tended to prefer F2F instructional methods, while part-time students preferred online methods. Additionally younger students (\u3c 35 years) reported stronger preference for F2F methods of instruction than older students (\u3e 36 years) in cognitive and constructivist instructional approaches with no significant differences by age for behavioral and humanistic instructional approaches

Seroprevalence of anti-SARS-CoV-2 IgG antibodies in Kenyan blood donors.

The spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Africa is poorly described. The first case of SARS-CoV-2 in Kenya was reported on 12 March 2020, and an overwhelming number of cases and deaths were expected, but by 31 July 2020, there were only 20,636 cases and 341 deaths. However, the extent of SARS-CoV-2 exposure in the community remains unknown. We determined the prevalence of anti-SARS-CoV-2 immunoglobulin G among blood donors in Kenya in April-June 2020. Crude seroprevalence was 5.6% (174 of 3098). Population-weighted, test-performance-adjusted national seroprevalence was 4.3% (95% confidence interval, 2.9 to 5.8%) and was highest in urban counties Mombasa (8.0%), Nairobi (7.3%), and Kisumu (5.5%). SARS-CoV-2 exposure is more extensive than indicated by case-based surveillance, and these results will help guide the pandemic response in Kenya and across Africa

Temporal trends of SARS-CoV-2 seroprevalence during the first wave of the COVID-19 epidemic in Kenya.

Observed SARS-CoV-2 infections and deaths are low in tropical Africa raising questions about the extent of transmission. We measured SARS-CoV-2 IgG by ELISA in 9,922 blood donors across Kenya and adjusted for sampling bias and test performance. By 1st September 2020, 577 COVID-19 deaths were observed nationwide and seroprevalence was 9.1% (95%CI 7.6-10.8%). Seroprevalence in Nairobi was 22.7% (18.0-27.7%). Although most people remained susceptible, SARS-CoV-2 had spread widely in Kenya with apparently low associated mortality

Replication Data for: Prevalence of SARS-CoV-2 Antibodies from a one-year National Serosurveillance of Kenyan Blood Transfusion Donors

These data contain anonymised residual donor serum samples used for screening of transfusion transmissible infections collected at the KNBTS regional centres which has been used to compute standardised SARS-CoV-2 seroprevalence by age, sex and region using KNBS population as the standard population

Replication Data for: Temporal trends of SARS-CoV-2 seroprevalence in transfusion blood donors during the first wave of the COVID-19 epidemic in Kenya

This is a replication dataset for the manuscript titled: "Temporal trends of SARS-CoV-2 seroprevalence in transfusion blood donors during the first wave of the COVID-19 epidemic in Kenya". These data contain anonymised residual donor serum samples used for screening of transfusion transmissible infections were collected at the KNBTS regional centres in 4 sites (Mombasa, Nairobi, Eldoret and Kisumu) which has been used to compute standardised prevalence by age, sex and region using KNBS population as the standard population