Internal displacement of citizens places them as one of the most vulnerable populations in any given society. This is more worrisome in a pandemic situation. Thus, using qualitative research methods directed by the social capital theory and service quality theory, this study will analyze the perceived satisfaction of IDPs and non-IDPs citizens in Nigeria on the provided governmental support in the time of Covid-19 pandemic.

The coronavirus disease 2019 (COVID-19) will continue to have a significant impact on the way we live for at least the next few years until the scale-up of production and administration of an effective vaccine. Unfortunately, this will not be the last pandemic of infectious diseases the world will experience, and the next one may have more devastating consequences in Africa than COVID-19, unless critical lessons for the future are learnt now for more rapid and robust containment measures.

Purpose: The index case of COVID-19 in Nigeria was reported on 27 February 2020. Subsequently, the exponential increase in cases has brought about the partial and total lockdown of cities, the closure of all schools and the shutdown of government offices in order to curtail the spread of COVID-19. COVID-19 and its subsequent drastic curtailment policies have implications on vulnerable groups, especially, informal workers who constitute about 70% of the active working population in Nigeria.

Within a short period of time, COVID-19 has spread globally, wreaking havoc in various facets of life. This study sought to measure the level of COVID-19 knowledge, attitudes, and practices of the Nigerian public. This was a cross-sectional online survey of the general population of educated Nigerians who had Internet access. Sociodemographic data and participants' knowledge, attitudes, and practices relating to COVID-19 were collected. Scores assessing knowledge, attitudes, and practices were allocated and graded based on specific stratified demarcations.

Background. The reports and information on coronavirus are not conspicuously emphasising the possible impact of population density on the explanation of difference in rapid spread and fatality due to the disease and not much has been done on bicountry comparisons. Objective. The study examined the impact of population density on the spread of COVID-19 pandemic in two sociodemographic divergent countries. Methods. The study conducted a scoping review of published and unpublished articles including blogs on incidences and fatalities of COVID-19.

The coronavirus outbreak is the most notable world crisis since the Second World War. The pandemic that originated from Wuhan, China in late 2019 has affected all the nations of the world and triggered a global economic crisis whose impact will be felt for years to come. This necessitates the need to monitor and predict COVID-19 prevalence for adequate control. The linear regression models are prominent tools in predicting the impact of certain factors on COVID-19 outbreak and taking the necessary measures to respond to this crisis.