Using demand mapping to assess the benefits of urban green and blue space in cities from four continents.

The benefits of urban green and blue infrastructure (UGI) are widely discussed, but rarely take into account local conditions or contexts. Although assessments increasingly consider the demand for the ecosystem services that UGI provides, they tend to only map the spatial pattern of pressures such as heat, or air pollution, and lack a wider understanding of where the beneficiaries are located and who will benefit most. We assess UGI in five cities from four continents with contrasting climate, socio-political context, and size. For three example services (air pollution removal, heat mitigation, accessible greenspace), we run an assessment that takes into account spatial patterns in the socio-economic demand for ecosystem services and develops metrics that reflect local context, drawing on the principles of vulnerability assessment. Despite similar overall levels of UGI (from 35 to 50% of urban footprint), the amount of service provided differs substantially between cities. Aggregate cooling ranged from 0.44 °C (Leicester) to 0.98 °C (Medellin), while pollution removal ranged from 488 kg PM2.5/yr (Zomba) to 48,400 kg PM2.5/yr (Dhaka). Percentage population with access to nearby greenspace ranged from 82% (Dhaka) to 100% (Zomba). The spatial patterns of pressure, of ecosystem service, and of maximum benefit within a city do not necessarily match, and this has implications for planning optimum locations for UGI in cities.

Impact of the COVID-19 Pandemic on Stroke Epidemiology and Clinical Stroke Practice in the US.

INTRODUCTION: To examine the impact of the COVID-19 pandemic on stroke, the number of stroke patients, time since last known well (LKW), morbidity, and mortality of stroke patients in Southwest Healthcare System (SHS), California (CA) and the United States (US) were analyzed during 2019 and compared to 2020. Our hypothesis is that there are regional differences in stroke outcome depending on location during the COVID-19 study period which influences stroke epidemiology and clinical stroke practice. METHODS: The American Heart Association's 'Get with the Guidelines' (GWTG) database was used to evaluate the following categories: code stroke, diagnosis of stroke upon discharge, inpatient mortality, modified Rankin Score (mRS) upon discharge (morbidity), and time since last known well (LKW). Stroke registry data from February through June 2019 and 2020 were collected for retrospective review. RESULTS: The total number of strokes decreased in the US and CA, but increased in SHS during the COVID-19 study period. The US and SHS demonstrated no change in stroke mortality, but CA demonstrated a higher stroke mortality during the COVID-19 pandemic. There was greater loss of independence with increased stroke morbidity in the US during the COVID-19 pandemic. There was a significant increase in time since LKW in the US and SHS, and an increase trend in time since LKW in CA during the COVID-19 study period. DISCUSSION: To understand the impact of the COVID-19 pandemic on stroke epidemiology, we propose that all stroke inpatients should receive a SARS-CoV-2 detection test and this result be entered into the GWTG database. We demonstrate that the regional distribution of stroke mortality in the US changed during the COVID-19 study period, with increased stroke mortality in CA. Stroke morbidity throughout the US was significantly worse during the COVID-19 pandemic. We propose methods to address the impact of the COVID-19 pandemic on clinical stroke practice such as the use of mobile stroke units, clinical trials using anti-inflammation drugs on SARS-CoV-2 positive stroke patients, and COVID stroke rehabilitation centers.