The whole world is faced with a pandemic that threaten not only the health of humanity but also the economic and social aspect of life especially for a disadvantage City like Makurdi. The central issue the paper address is the socio-economic impact of coronavirus with focus on protecting livelihoods of the urban poor. The paper investigated the socio-economic impact of coronavirus on livelihoods in Makurdi using primary sources of data. Socio-economic impact rating by respondents was analyzed using weighted sum and weighted mean to rank impact of coronavirus on livelihoods in Makurdi. The result shows that, loss of business capital was rank 1st on impact of coronavirus on livelihoods, follow by reduce income generation 2nd, education expenses affected 3rd, difficulty to pay bills 4th, reduce standard of living 5th, increase crime/violence 6th, result to livelihood lost 7th, low productivity 8th, create more debt 9th, and create social distance was ranked 10th and last on the hierarchy list of impacts. The paper concluded that, the pandemic has both social and economic impact on people’s lives and livelihoods and it has push many people into poverty and many have lost their sources of livelihoods. The paper recommended suspension of taxes on small scale businesses, provision of soft and long-term loans to small and medium scale businesses, and provision of scholarship to both primary and secondary schools to reduce out of school children in order to protect the future of the younger generation.
The present paper discusses the economic features of the current Covid-19 outbreak and its relation to labor markets and new skills in demand. It mainly focuses in analysing the recent global trends in affected sectors, examines the current unemployment issues while deepens in the kind of new skills and soft skills in demand that are necessary for an easier transition to the new Covid-19 way of life.
Coronavirus outbreaks affect human beings as a whole and can be a cause of serious illness and death. Machine learning (ML) models are the most significant function in disease prediction, such as the Covid-19 pandemic, in high-performance forecasting and used to help decision-makers understand future situations. ML algorithms have been used for a long time in many application areas that include recognition and prioritization for certain treatments. Too many ML furcating models are used to deal with problems. In this study, predict a pandemic outbreak using the ML forecasting models. The models are designed to predict Covid-19, depending on the number of confirmed cases, recovered cases and death cases, based on the available dataset. Support Vector Machine (SVM) and Polynomial Regression (PR) models were used for this study to predict Covid-19 ‘s aggressive risk. All three cases, such as confirmed, recovered and death, models predict death in Ethiopia over the next 30 days. The experimental result showed that SVM is doing better than PR to predict the Covid-19 pandemic. According to this report, the pandemic in Ethiopia increased by half between the mid of July 2020. Then Ethiopia will face a number of hospital shortages, and quarantine place.
Challenges of Utilising the Key Messages of Coronavirus Pandemic Campaigns in Akwa Ibom State, Nigeria (Published)
This study investigated the challenges of utilising the key messages of coronavirus pandemic campaign in Akwa Ibom State, Nigeria. Survey research design was adopted for the study while questionnaire was the instrument of data collection. The study was anchored on social cognitive theory and Health belief model. The population of the study comprised of residents of Akwa Ibom State, which according to 2018 projection of the National Population Commission census figure of 2006 was 5,828,267. The sample size of 400 was drawn using Taro Yamane’s sample size formula. The study found out that the level of awareness of the coronavirus pandemic campaign was high in the metropolis but low in rural communities. The study also found out that the level of compliance was very low. Moreso, the study found out that majority of respondents did not believe that coronavirus exist in Nigeria. The study recommends that awareness should not be left alone in the hands of government, individuals should be ready to save lives by promoting the campaign of coronavirus in the society.
The Impact of Coronavirus (Covid 19) On the Economy in the Kingdom Of Saudi Arabia: A Review (Published)
Ever since the appearance of the coronavirus, a state of intense anticipation arose over its evolution until it began sweeping through a large number of countries in the world and became a global epidemic, threatening all societies and peoples. The spread of such epidemics will necessarily have economic, political, and social implications. With the spread of this virus, the economic interests of the Kingdom of Saudi Arabia will be negatively affected in many sectors, including tourism and many others, as well as low oil prices. This article focuses on the negative impact of the coronavirus on the economy in the Kingdom of Saudi Arabia, and how the Kingdom has tried to get out of this crisis and confront it, as well as plans for life after the coronavirus.