RESUMO
OBJECTIVES: A new variant of echovirus 11 (E11) infection is a major health concern in neonates. Here, we describe the clinical and virological characteristics of enterovirus (EV) infections in children hospitalized with acute respiratory infection in Southern Italy. METHODS: Between July 2022 and August 2023, 173 EV infections were identified. Demographic and clinical characteristics, comorbidities, and coinfections were analyzed. Genotypes were identified by sequencing of VP1. Whole-genome sequencing of five E11 strains was performed. RESULTS: Case numbers peaked in July 2022, November-December 2022, and June-July 2023. Coxsackievirus A2 was identified in 36.7%, coxsackievirus B5 in 13.8%, echovirus E11 in 9.2%, and EV-D68 in 6.4% of cases. No child had critical symptoms or a severe infection. The only neonate infected by E11 recovered fully after 5 days in hospital. Phylogenetic analysis revealed that four E11 strains were closely related to divergent lineage I E11 strains identified in France and Italy. CONCLUSIONS: The new variant of E11 was identified in children in Southern Italy. Although the cases were mild, the data suggest that transmission routes and host factors are likely to be main drivers for the development of potentially severe diseases. Systematic epidemiological/molecular surveillance will help us better understand the clinical impact of EV infections and develop preventive strategies.
RESUMO
During the COVID-19 pandemic, wastewater monitoring has been used to monitor the levels of SARS-CoV-2 RNA entering the sewerage system. In Italy, the Istituto Superiore di Sanità coordinated the SARI project (Sorveglianza Ambientale Reflue in Italia) to detect SARS-CoV-2 and its variants. In this study, the concentration of SARS-CoV-2 and its variants in raw wastewater against COVID-19 cases was evaluated together with the effect of temperature and precipitation on virus spread. We validated a predictive model, proposed by De Giglio et al., 2021, to establish the number of COVID-19 cases/100,000 inhabitants. A receiver operating characteristic curve model was applied to predict the number of COVID-19 cases and Poisson regression was applied to study the effect of temperature and rainfall on viral load. In Apulia, from October 2021 to December 2022, we analyzed 1041 samples, of which 985 (94.6%) tested positive for SARS-CoV-2. Median atmospheric temperature was inversely proportional to viral load in wastewater; no correlation was found with precipitation. The predictive model confirmed that at least 11 cases/100,000 inhabitants would occur in the 15 days following the detection of the virus in wastewater. Environmental surveillance of SARS-CoV-2 can be used to map the virus and its variants.
