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Journal of Applied Mathematics ; 2023, 2023.
Article in English | Scopus | ID: covidwho-2238442


In this study, a novel modified SIR model is presented with two control measures to predict the endpoint of COVID-19, in top three sub-Saharan African countries (South Africa, Ethiopia, and Kenya) including Ghana and top four European countries (France, Germany, UK, and Italy). The reproduction number's sensitivity indices with regard to the model parameters were explicitly derived and then numerically evaluated. Numerical simulations of the suggested optimal control schemes in general showed a continuous result of decline at different anticipated extinction timelines. Another interesting observation was that in the simulation of sub-Saharan African dynamics, it was observed that the use of personal protective equipment was more effective than the use of vaccination, whereas in Europe, the use of vaccination was more effective than personal protective equipment. From the simulations, the conclusion is that COVID-19 will end before the 3rd year in Ghana, before the 6th year in Kenya, and before the 9th year in both Ethiopia and South Africa. © 2023 Saviour Worlanyo Akuamoah et al.

The Journal of Business Economics ; 93(2023/02/01 00:00:0000):173-192, 2023.
Article in English | ProQuest Central | ID: covidwho-2230970


This paper analyses the impact of the use of digital communication tools in administrative procedures on the effectiveness of local administrative authorities during the COVID-19 pandemic. It considers COVID-19-driven changes in the legal competence of the institutional unit and administrative authorities' orientation to good governance as mediators of this relationship. By applying partial least squares structural equation modelling (PLS-SEM) to survey data (N = 610) from five central European countries, we show that the accelerated use of digitalized communication tools driven by the COVID-19 situation has a positive effect on the effectiveness of local administrative authorities. Our data also indicate that the new laws, instructions and good governance driven by the COVID-19 situation – based on mostly convergent administrative traditions and European trends – partially mediate the relationship between the use of digital communication tools and administrative effectiveness. These findings do not significantly differ between participating countries and bureaucratic traditions. Consequently, the COVID-19 crisis proved to be a joint facilitator of responsive public governance that remained compliant with the rule of law, regardless of whether the national administrative systems were traditionally more legalistically or managerially oriented.

1st International Conference on Artificial Intelligence for Smart Community, AISC 2020 ; 758:279-286, 2022.
Article in English | Scopus | ID: covidwho-2148647
Public Policy and Administration ; 21(2):189-204, 2022.
Article in English | Scopus | ID: covidwho-2145369
13th International Conference on Social Informatics, SocInfo 2022 ; 13618 LNCS:196-210, 2022.
Article in English | Scopus | ID: covidwho-2128493
Revista Espanola De Sociologia ; 31(4), 2022.
Article in English | Web of Science | ID: covidwho-2082926
Frontiers in Environmental Science ; 10, 2022.
Article in English | Web of Science | ID: covidwho-2071079
57th International Scientific Conference on Information, Communication and Energy Systems and Technologies, ICEST 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2018825
22nd International Conference on Computational Science and Its Applications , ICCSA 2022 ; 13381 LNCS:211-221, 2022.
Article in English | Scopus | ID: covidwho-2013916
Proceedings of the International Conference on Business Excellence ; 16(1):1073-1086, 2022.
Article in English | Web of Science | ID: covidwho-2005835
6th IEEE International Conference on Logistics Operations Management, GOL 2022 ; 2022.
Article in English | Scopus | ID: covidwho-1985450
15th International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2022 ; : 230-236, 2022.
Article in English | Scopus | ID: covidwho-1962417
10th International Conference on Bioinformatics and Computational Biology, ICBCB 2022 ; : 148-153, 2022.
Article in English | Scopus | ID: covidwho-1961389
EuroMediterr J Environ Integr ; 7(2): 157-170, 2022.
Article in English | MEDLINE | ID: covidwho-1943744


The ability to accurately forecast the number of COVID-19 cases and future case trends would certainly assist governments and various organisations in strategising and preparing for the newly infected cases well in advance. Many predictions have failed to foresee future COVID-19 cases due to the lack of reliable data; however, such data are now widely available for predicting future trends in COVID-19 after more than one and a half years of the pandemic. Also, various countries are closely monitoring other countries that are experiencing a surge in COVID-19 cases in the expectation of similar scenarios, but this does not always produce correct results, as no research has identified specific correlations between different countries in terms of COVID-19 cases. During the past 18 months, many nations have watched countries whose COVID-19 cases have risen sharply, in anticipation of handling the situation themselves. However, this did not provide accurate results, as no research was conducted that compared countries to determine if their COVID-19 case trends were correlated. As official data on COVID-19 cases has become increasingly available, using the Pearson correlation technique to pinpoint the countries that should be closely monitored will help governments plan and prepare for the number of infections that are expected in the future at an early stage. In this study, a simple and real-time prediction of COVID-19 cases incorporating existing variables of coronavirus variants was used to explore the correlation among different European countries in terms of the number of COVID-19 cases officially recorded on a daily basis. Data from selected countries over the past 76 weeks were analysed using a Pearson correlation technique to determine if there were correlations between case trends and geographical position. The correlation coefficient (r) was employed for identifying whether the different countries in Europe were interrelated, with r > 0.85 indicating they were very strongly correlated, 0.85 > r > 0.8 indicating that they were strongly correlated, 0.8 > r > 0.7 indicating that they were moderately correlated, and r < 0.7 indicating that the examined countries were either weakly correlated or that a correlation did not exist. The results showed that although some neighbouring countries are strongly correlated, other countries that are not geographically close are also correlated. In addition, some countries on opposite sides of Europe (Belgium and Armenia) are also correlated. Other countries (France, Iceland, Israel, Kosovo, San Marino, Spain, Sweden and Turkey) were either weakly correlated or had no relationship at all.

Health Policy ; 126(7):619-631, 2022.
Article in English | Web of Science | ID: covidwho-1926473
EAI/Springer Innovations in Communication and Computing ; : 107-118, 2023.
Article in English | Scopus | ID: covidwho-1919564
International Journal of Electronic Government Research ; 18(2):27, 2022.
Article in English | Web of Science | ID: covidwho-1917928
International Journal of Electronic Government Research ; 18(2):28, 2022.
Article in English | Web of Science | ID: covidwho-1917927
Regional Science Policy & Practice ; n/a(n/a), 2022.
Article in English | Wiley | ID: covidwho-1916280