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The novel COVID-19 pandemic has disrupted the functioning of solid waste management globally as households experience an increase in their waste and a change in waste collection services. This study presents a statistical model looking at the impacts of COVID-19 on household waste and waste collection services and the prevalence of self-disposing in response to these impacts. Qualitative household data were collected from Guyana and Nigeria looking at household perspectives on their waste management issues since the emergence of COVID-19. Statistical models were developed using limited-dependent binary logistic regression. The models showed for each country, different factors contributing to the likelihood of self-disposing. For Guyana, the change in waste collection schedule and the household proximity to landfills increases the likelihood of self-disposing while in Nigeria, the increase in household waste increases the likelihood of self-disposing. The results also showed that households who regularly engage in recycling activities are less likely to self-dispose. The study concludes that COVID-19 has disrupted household waste disposal and had contributed to increasing instances in self-dumping. COVID-19 seems to be fostering the informal waste sector which may require a shift in the current operation and policies for the solid waste management sector.

The novel COVID-19 disease has highlighted the vulnerability of small and developing economies in managing what is now a global health crisis. This study presents the preliminary overview of the dynamics of the spread and expansion of COVID-19 as the disease takes its footprint in the Caribbean. The study explored the spatial clusters of the disease and its variations in the Caribbean region. Data was gathered from the World Health Organization reports and collated into a cross sectional data set. Spatial mapping and spatial lag analysis were conducted to identify spread patterns and statistical relationships with several relevant socioeconomic variables. Models showed the prominence of cases and deaths in countries highly related to the spatial connection of countries with mainland countries and the availability of medical services in the country. Results also similar social distancing policies adopted in the region and the possible connection between prevalence of diabetes and hypertension regionally impacted the number of deaths. It is hoped that the findings presented here will be useful in planning for an epidemiological response for the region based on the differences in the patterns for possible interventions and actions.