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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 …

A Comparative Analysis Of The Knowledge And Stigmatizing Attitude Of Ghanaians And Nigerians Towards Covid-19 Survivors, Emmanuel Lamptey, Dorcas Serwaa, Maxwell Hubert Antwi, Theckla Ikome Ms, Nkechi Odogwu

Journal of Refugee & Global Health

Introduction: In Africa, COVID-19 associated stigmatization still remains the contextual factor that poses a challenge for the mitigation and suppression of COVID-19 spread, especially among the illiterate populations. This comparative study was therefore conducted to assess the knowledge and willingness of Ghanaians and Nigerians to associate with COVID-19 survivors.

Methods: A cross-sectional study was conducted to collect information from 290 Ghanaian and 220 Nigerian nationals aged 18 years and above between 11th July-30th October 2020. An electronic-based questionnaire was developed to collect information on the public. The data were analyzed with SPSS v 22 and factors influencing knowledge and willingness …