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Full-Text Articles in Respiratory Tract Diseases
Gender, Age And Staff Preparedness To Adopt Internet Tools For Research Sharing During Covid-19 In African Varsities, Valentine Joseph Owan, Michael Ekpenyong Asuquo Phd., Samuel Okpon Ekaette Ph.D., Sana Aslam, Moses Eteng Obla, Daniel Clement Agurokpon, Mercy Valentine Owan
Gender, Age And Staff Preparedness To Adopt Internet Tools For Research Sharing During Covid-19 In African Varsities, Valentine Joseph Owan, Michael Ekpenyong Asuquo Phd., Samuel Okpon Ekaette Ph.D., Sana Aslam, Moses Eteng Obla, Daniel Clement Agurokpon, Mercy Valentine Owan
Library Philosophy and Practice (e-journal)
This study assessed the partial as well as the collaborative impact of age and gender on academic staff preparedness to adopt Internet tools for research sharing in African universities during Covid-19. Although evidence abounds in the literature on gender and age as they affect relatively, scholars’ utilisation of digital tools for research communication, such studies did not examine scholars’ preparedness to adopt from a broad perspective of Africa. This study was conducted based on the argument that the preparedness of scholars may affect their future interest to utilize digital tools for research sharing. A quantitative method, based on the descriptive …
Geospatial Clustering And Hot Spot Detection Of Covid-19 Incidence In 2020: A Global Analysis, Munazza Fatima, Sana Arshad, Ibtisam Butt, Saba Arshad
Geospatial Clustering And Hot Spot Detection Of Covid-19 Incidence In 2020: A Global Analysis, Munazza Fatima, Sana Arshad, Ibtisam Butt, Saba Arshad
International Journal of Geospatial and Environmental Research
Emergence and spread of Covid-19 initiated diversified researches based on spatial analysis in visualization, exploration, and modelling of this infection. This short communication is an attempt to comprehend the geographic distribution and spatial clustering of Covid-19 in year 2020. Main objective is to spatially analyze Covid-19 incidence rates, identification of hotspots and clusters outliers at global level. Monthly data of reported cases were taken from World Health Organization dashboard and situation reports. Incidence rate was calculated for each country for each month. Spatial autocorrelation techniques of Global Moran are I and Anselian Local Moran’s I were used to examine the …