The current lockouts, climatic variations, population expansion, and constraints on convenience and natural resource access are some of the factors that are making the need for smart cities more critical than ever before. On the other hand, these difficulties may be conquered more effectively with the use of emerging technology. In smart cities, the number of cars on the road has skyrocketed over the years, resulting in severe problems such as gridlock, accidents, and a myriad of other issues. Increased travel time reliability, decreased congestion, more equitable distribution of green phase time, faster response to traffic conditions, timely assistance and support, and accurate prediction of traffic volumes, including timing adjustments for traffic signals; these are some of the benefits that can be achieved. It is possible that the current, conventional traffic management system isn't up to deal with the increased traffic congestion and traffic violations. Image processing is the foundation of the sophisticated traffic management system that is now in place.

Initiating the study into digital twin technology, the planning and implementation of the 6G network necessitates real-time interaction and alignment between physical systems and their virtual representation. From simple parts to intricate systems, the digital twin's flexibility and agility improve design and operational procedure efficiency in a predictable manner. It can validate policies, give a virtual representation of a physical entity, or evaluate how a system or entity behaves in a real-time setting. It evaluates the effectiveness and suitability of QoS regulations in 6G communication, in addition to the creation and management of novel services. Physical system maintenance costs and security threats can also be reduced, but doing so requires standardization efforts that open the door to previously unheard-of difficulties with fault tolerance, efficiency, accuracy, and security. The fundamental needs of a digital twin that are focused on 6G communication are covered in this chapter. These include decoupling, scalable intelligent analytics, data management using blockchain.

Citizens’ and urban settings’ life quality and services have significantly improved as a result of smart cities. They have complete capability to manage physica

COVID-19 is likely to pose a significant threat to healthcare, especially for disadvantaged populations due to the inadequate condition of public health services with people's lack of financial ways to obtain healthcare. The primary intention of such research was to investigate trend analysis for total daily confirmed cases with new corona virus (i.e., COVID-19) in the countries of Africa and Asia. The study utilized the daily recorded time series observed for two weeks (52 observations) in which the data is obtained from the world health organization (WHO) and world meter website. Univariate ARIMA models were employed. STATA 14.2 and Minitab 14 statistical software were used for the analysis at 5% significance level for testing hypothesis. Throughout time frame studied, because all four series are non-stationary at level, they became static after the first variation. The result revealed the appropriate time series model (ARIMA) for Ethiopia, Pakistan, India, and Nigeria were Moving Average order 2, ARIMA(1, 1, 1), ARIMA(2, 1, 1), and ARIMA (1, 1, 2), respectively.