The contamination of coastal ecosystems by personal protective equipment (PPE) emerged as a significant concern immediately following the declaration of the COVID-19 pandemic by the World Health Organization (WHO). Hence, numerous studies have assessed PPE occurrence on beaches worldwide. However, no predictors on PPE contamination was so far pointed out. The present study investigated social and landscape drivers affecting the PPE density in coastal environments worldwide using a meta-analysis approach. Spatial variables such as urban modification levels, coastal vegetation coverage, population density (HPD), distance from rivers (DNR), and poverty degree (GGRDI) were derived from global satellite data. These variables, along with the time elapsed after WHO declared the pandemic, were included in generalized additive models as potential predictors of PPE density. HPD consistently emerged as the most influential predictor of PPE density (p < 0.00001), exhibiting a positive effect. Despite the presence of complex non-linear relationships, our findings indicate higher PPE density in areas with intermediate GGRDI levels, indicative of emerging economies. Additionally, elevated PPE density was observed in areas located further away from rivers (p < 0.001), and after the initial months of the pandemic. Despite the uncertainties associated with the varied sampling methods employed by the studies comprising our database, this study offers a solid baseline for tackling the global problem of PPE contamination on beachesguiding monitoring assessments in future pandemics.
Keywords: COVID-19; Contamination; Litter; Pandemic; Plastic; Sandy Beach.
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