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Chlorophyll-a (Chl-a) and Total Suspended Matter (TSM) are key health indicators of the coastal ocean and seas. The former is linked to primary productivity, while the latter is associated with water quality; both are influenced by change in climate. Recent studies have highlighted a declining trend in Chl-a levels along the Mediterranean coastal region. River discharge plays an important role in regulating the coastal Chl-a concentration levels. The present research primarily focuses on understanding the significance of Tiber River −driven spatial dynamics of Chl-a and TSM along the central Tyrrhenian Sea coasts. The research also focuses on evaluating the applicability of Sentinel-2 and identifying a suitable method for estimating Chl-a and TSM from Sentinel-2. Neural networks and dark spectrum fitting techniques were applied using multiple algorithms to estimate the dynamic distribution of Chl-a and TSM driven by the Tiber River in the study area. Multiple statistical analyses were performed, and statistically significant relationships were observed. The Case-2 Regional Coast Colour Neural Network (C2RCC-Net) outperformed all other algorithms, with an R2 value of 0.903 for Chl-a and an R2 value of 0.966 for TSM. Furthermore, the present research also identified a positive pixel to pixel spatial correlation between Chl-a and TSM in all four seasons, highlighting the positive impact of Tiber River on maintaining Chl-a levels along the coasts of Tyrrhenian Sea. This stands in contrast with the negative trend seen in the Mediterranean scale.

Abstract Plasma RNAemia, delayed antibody responses and inflammation predict COVID-19 outcomes, but the mechanisms underlying these immunovirological patterns are poorly understood. We profile 782 longitudinal plasma samples from 318 hospitalized patients with COVID-19. Integrated analysis using k-means reveals four patient clusters in a discovery cohort: mechanically ventilated critically-ill cases are subdivided into good prognosis and high-fatality clusters (reproduced in a validation cohort), while non-critical survivors segregate into high and low early antibody responders. Only the high-fatality cluster is enriched for transcriptomic signatures associated with COVID-19 severity, and each cluster has distinct RBD-specific antibody elicitation kinetics. Both critical and non-critical clusters with delayed antibody responses exhibit sustained IFN signatures, which negatively correlate with contemporaneous RBD-specific IgG levels and absolute SARS-CoV-2-specific B and CD4+ T cell frequencies. These data suggest that the “Interferon paradox” previously described in murine LCMV models is operative in COVID-19, with excessive IFN signaling delaying development of adaptive virus-specific immunity.

Objectives: Respiratory syncytial virus (RSV) is undoubtedly the single most important cause of severe lower respiratory tract infection (LRTI) globally. While new prevention measures in young infants have become available, their use in developing countries is likely many years away. While risk factors for severe or very severe RSV LRTI in impoverished rural areas likely differ to urban areas, there are very few studies, especially those conducted in India, the major country contributing to the global burden of disease., Methods: Active surveillance for acute LRTI in enrolled infants and children <2 years of age, was conducted through weekly home visits in 93 villages of Melghat, India, from August 2016 to December 2020. Local hospitals and primary health centres were surveyed for admissions of enrolled subjects. Nasopharyngeal swabs were collected from children with severe, or very severe LRTIs and all who died, with RSV testing using nucleic acid tests at ICMR, National Institute of Virology Pune. Risk factors for both RSV associated and non-RSV associated, severe and very severe LRTI were identified through univariate and multivariate logistic regression., Results: There were 483 severe or very severe RSV LRTI cases and 2807 non-RSV severe or very severe LRTI infections in a cohort of 13,318 children. Weight for age z-score ≤-2, the use of kerosene or wood for cooking, obtaining drinking water from a public tap and low gestational age significantly increased the risk of RSV LRTI. A higher wealth score index and water purification were protective. Comparison with non-RSV LRTI showed male sex as an additional risk factor. The analysis highlighted the risk of kerosene use [OR = 17.8 (3.0-104.4) (p ≤ 0.001)] and [OR = 3.4 (0.8-14.4) (p ≤ 0.05)] for RSV and non-RSV LRTIs, respectively., Conclusions: Nutritional status and environmental air quality are predisposing factors for developing an RSV LRI in young children, factors which are amenable to environmental and behavioural interventions., (© 2024 John Wiley & Sons Ltd.)