Urban Green Spaces and Public Health Outcomes: a systematic review of literature

Background As stressed by COVID-19 pandemic, urbanicity might represent a risk factor for chronic non-communicable diseases or generally impacting on healthy lifestyle, among them physical activity. Methods In light of this, we performed a systematic review aimed to explore the association between urban greenspaces and two important health indicators for both mental and physical health. In particular, our aims were to analyze the association between publicly accessible urban greenspaces exposure, and mental health outcomes (MH) and objectively-measured physical activity (PA). The review was conducted from 2000/01/01 to 2020/09/30 searching in two electronic databases: PubMed/Medline and Excerpta Medica dataBASE (EMBASE). Only articles in English were included. Results Out of 356, a total of 34 studies were included in our review, of which 19 assessed MH outcomes, the remaining dealt with PA. Only a few included studies found a non-effect or a negative effect on MH outcomes, whereas, all the others demonstrated a positive effect of urban greenspace and both MH and PA. However, our results stressed not only the importance of green space presence, but also the importance of maintenance, renovation, closeness to residential areas, the presence of interactive activities, and perceived security aspects. Conclusions To conclude, even some methodological limitations of the included studies, results are concordant in demonstrating that urban greenspaces show potentially beneficial effects on mental health and physical activity. Our results are significant for public health experts and policymakers involved in urban planning, community health promotion, and improvement of health and social equity. Key messages Urban green spaces are important factors, impacting on both physical and mental health. Policymakers involved in urban planning should pay more attention in urban green spaces.

Public health impact of the COVID-19 pandemic on the emergency healthcare system.

BACKGROUND: The Lombardy region has been the Italian region most affected by the coronavirus disease 2019 (COVID-19) pandemic in 2020. The emergency healthcare system was under deep stress throughout the past year due to the admission of COVID-19 patients to the emergency department (ED) and had to be thoroughly reorganized. METHODS: We performed a retrospective descriptive analysis of patients admitted into the ED recorded in the Lombardy online regional portal called EUOL (Emergenza e Urgenza OnLine). We compared the data registered in the EUOL with the patients admitted to the EDs from 1 January 2019 to 31 December 2019 and from 1 January 2020 to 31 December 2020. RESULTS: The number of admissions to the ED decreased by 32.5% in 2020 compared with 2019, reaching the lowest number in March and April. However, the percentage of patients hospitalized after ED significantly increased in 2020 compared with 2019 (P < 0.0001), reflecting the management of patients with a more severe clinical condition. More patients arrived at the ED by ambulance in 2020 (21.7% in 2020 versus 15.1% in 2019; P < 0.0001), particularly during March and April. CONCLUSIONS: This analysis showed the importance of monitoring the pandemic's evolution in order to treat more critically ill patients, despite a lower number of patients.

Management of Emergency Services in Lombardy during COVID-19 epidemic using Business Intelligence

Background In Italy on the 20th of February, the first Italian patient was tested positive for Coronavirus Disease 2019 (COVID-19) in the Lombardy region. The Regional Emergency Medical Services (EMS) Trust (Azienda Regionale Emergenza Urgenza, AREU) of the Lombardy region decided to apply a Business Intelligence (BI) System to take timely decisions on the management of EMS and to monitor the spread of the disease in the region in order to better respond to the outbreak. Methods Since the beginning of the COVID-19 outbreak, AREU developed a BI System to track the daily number of first aid requests received from 1.1.2. (Public Safety Answering Point 1). BI evaluates the number of requests that have been classified as respiratory and/or infectious episodes during the telephone dispatch interview. Moreover, BI analyses the pattern of the epidemic, identifying the numerical trend of episodes in each municipality (increasing, stable, decreasing). Currently, AREU is still implementing the BI as the epidemic is still ongoing. Results In the Lombardy region on the 20th of February the number of the first aid requests for respiratory and/or infectious episodes were 314. This figure increased sharply during the month of February and March reaching its peak on the 16th of March with 1537 episodes. In the area around Bergamo, this number experienced a greater rise compared to the rest of the Lombardy territory, going from 74 episodes on the 20th of February to 694 on the 13th of March. Therefore, AREU decided to reallocate in the territory the resources (ambulances and human resources) based on the real-time data elaborated by the BI system. Conclusions The BI System has been of paramount importance in taking timely decisions on the management of EMS during the COVID-19 outbreak in the Lombardy region. Indeed, BI can be usefully applied to promptly identify the trend of the COVID-19 epidemic and, consequently, make informed decisions to improve the response to the outbreak. Key messages The Emergency Medical Services Trust of the Lombardy region applied a Business Intelligence System to promptly respond to the outbreak of COVID-19 and reallocate the resources based on real-time data. AREU used a Business Intelligence System to track the daily number of first aid requests that have been classified as respiratory and/or infectious episodes during the telephone dispatch interview.