Blueprinting the ecosystem health index for blue carbon ecotones.

Blue carbon ecotones (BCEs) play a critical role in regulating abiotic and biotic ecological fluxes underpinning services which are also crucial for the protection of the land-ocean function. Here, we proposed a Benefit-Pressure-Transformation Risk model (BPT) to calculate the Ecosystem Health Index (EHI) for mangrove, salt marsh, and seagrass as core BCEs globally (at a resolution of 1° × 1 °lat-long), based on habitat structure, species morphological features and vulnerability, niche overlap, nature and human pressures, and ecosystem services. Our assessments identify that around 20% of BCEs as vulnerable globally.

Weekly Forecasting of Yellow Fever Occurrence and Incidence via Eco-Meteorological Dynamics.

Yellow Fever (YF), a mosquito-borne disease, requires ongoing surveillance and prevention due to its persistence and ability to cause major epidemics, including one that began in Brazil in 2016. Forecasting based on factors influencing YF risk can improve efficiency in prevention. This study aimed to produce weekly forecasts of YF occurrence and incidence in Brazil using weekly meteorological and ecohydrological conditions.

Algal Bloom Ties: Spreading Network Inference and Extreme Eco-Environmental Feedback.

Coastal marine ecosystems worldwide are increasingly affected by tide alterations and anthropogenic disturbances affecting the water quality and leading to frequent algal blooms. Increased bloom persistence is a serious threat due to the long-lasting impacts on ecological processes and services, such as carbon cycling and sequestration. The exploration of eco-environmental feedback and algal bloom patterns remains challenging and poorly investigated, mostly due to the paucity of data and lack of model-free approaches to infer universal bloom dynamics.

In.To. COVID-19 socio-epidemiological co-causality.

Social media can forecast disease dynamics, but infoveillance remains focused on infection spread, with little consideration of media content reliability and its relationship to behavior-driven epidemiological outcomes. Sentiment-encoded social media indicators have been poorly developed for expressed text to forecast healthcare pressure and infer population risk-perception patterns. Here we introduce Infodemic Tomography (InTo) as the first web-based interactive infoveillance cybertechnology that forecasts and visualizes spatio-temporal sentiments and healthcare pressure as a function of social media positivity (i.

Environmental determinants predicting population vulnerability to high yellow fever incidence.

Yellow fever (YF) is an endemic mosquito-borne disease in Brazil, though many locations have not observed cases in recent decades. Some locations with low disease burden may resemble locations with higher disease burden through environmental and ecohydrological characteristics, which are known to impact YF burden, motivating increased or continued prevention measures such as vaccination, mosquito control or surveillance. This study aimed to use environmental characteristics to estimate vulnerability to observing high YF burden among all Brazilian municipalities.