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COVID-19 lockdown brought to a drastic reduction of anthropic impacts on the environment worldwide, including the marine-coastal system. Earth-Observation (EO) data have the potential to monitor and diagnose the effects of the lockdown in terms of water quality. Here we connect the dots among some coastal environmental changes that occurred during the Italian COVID-19 lockdown by using EO data, also seeking to assess connectivity between inland and marine systems. We present a holistic analysis of spatial and temporal variability of environmental parameters in the North Adriatic Sea, Mediterranean basin, exploiting the synergy of different satellite sensors, as well as hydrologic data from in situ observations. Our analysis indicates a favourable interplay of environmental variability that resulted in negative anomalies of Chlorophyll-a concentration, with respect to the climatologic values. Peculiar meteo-oceanographic and hydrological conditions made hard to disentangle potential anthropogenic effects. However, a multi-year hierarchical cluster analysis of riverine remote sensing reflectances groups together the optical properties of inland waters during the lockdown. This emergent cluster highlights the possibility of a second-order, anthropogenic effect that, superimposed to the (first-order) environmental natural causes, may have enhanced water quality during the lockdown.
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http://dx.doi.org/10.1016/j.scitotenv.2022.153002 | DOI Listing |
Osteoporos Int
September 2025
University of Alabama at Birmingham, Birmingham, AL, USA.
Unlabelled: Higher area socioeconomic level was associated with a decreased risk of romosozumab discontinuation during COVID-19 lockdown among U.S. Medicare beneficiaries.
View Article and Find Full Text PDFFront Reprod Health
August 2025
Division of Epidemiology & Biostatistics, School of Public Health, University of Illinois Chicago, Chicago, IL, United States.
Introduction: Adolescent sexual and reproductive health in low- and middle-income countries is critical to address following the COVID-19 pandemic. Growing evidence of its' impact includes increased teenage pregnancies and higher rates of unsafe abortion. Our qualitative study sought to understand perspectives and behaviours around these escalations.
View Article and Find Full Text PDFReprod Health
September 2025
Department of Sexual and Reproductive Health including UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction, World Health Organization, Avenue Appia 20, 1211, Geneva, Switzerland.
Background: The COVID-19 pandemic disrupted the provision of sexual and reproductive health services, including contraceptive and family planning (FP) services. The World Health Organization conducted a multi-country study in India, Nigeria and Tanzania to assess the impact of the pandemic on the health system's capacity to provide contraceptive and FP services. In this paper, we share the results of a qualitative study aimed at understanding clients' perspectives at the primary healthcare level on accessing contraceptive services in COVID-19-affected areas in the three aforementioned countries.
View Article and Find Full Text PDFClin Neurol Neurosurg
September 2025
Neurovascular Research Unit, Department of Neurology, Copenhagen, University Hospital - Herlev and Gentofte, Herlev, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark; Department of Brain, and Spinal Cord Injury, Copenhagen University Hospital - Rigshospitalet,
Objective: Severity and outcome of stroke may be associated with a concomitant or subsequent inflammatory response. C-reactive protein (CRP) may correlate with length of stay (LOS) in hospital, indicating increased complexity of stroke patients with an ongoing inflammatory reaction upon admission.
Methods: This retrospective cross-sectional study used data from admissions to the non-comprehensive Stroke Unit, which receives patients ineligible for revascularization therapy at Herlev-Gentofte hospital, in 2019 and 2020.
Environ Int
September 2025
School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China.
Sichuan Basin (SCB) is a critical region in China facing the dual pressures of air pollution and population aging. This study constructed high resolution (1 km) PM datasets for SCB using advanced machine learning approaches - Super Resolution Generative Adversarial Networks (SRGAN) and Convolutional Neural Network - Long Short-Term Memory (CNN-LSTM). Evaluation results demonstrate good performance of the machine learning model (SRGAN: R = 0.
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