Perceptions of Change in the Natural Environment produced by the First Wave of the COVID-19 Pandemic across Three European countries. Results from the GreenCOVID study.

Although different studies have evaluated the positive impacts of the COVID-19 pandemic and lockdown measures on reducing noise pollution and traffic levels and improving air quality, how populations have perceived such changes in the natural environment has not been adequately evaluated. The present study provides a more in-depth exploration of human population perception of enhanced natural exposure (to animal life and nature sounds) and reduced harmful exposure (by improved air quality and reduced traffic volume) as a result of the COVID-19 pandemic lockdown. The data is drawn from 3,109 unselected adults who participated in the GreenCOVID survey from April to July 2020 in England, Ireland, and Spain. The findings suggest that the positive impacts to the natural environment as a result of the lockdown have been better received by the population in Spain and Ireland, in comparison to England. Participants who resided in urban areas had better perceived improvements in nature sounds, air quality, and traffic volume compared to those in rural areas. Older populations and those with lower smoking and alcohol consumption were found to perceive this improvement the most. Furthermore, the greater perception of improvements in environmental elements was also associated with better self-perceived health and improved wellbeing. In the binary logistic regression, living in Ireland or Spain, urban areas, female gender, older age, and good overall wellbeing were associated with a greater perception of improvements in the natural environment, while the factors most associated with a greater perception of reduced harmful exposure were living in Spain, had a good self-perceived health status and older age.

Development and spatial representation of synthetic indexes of outpatient mental health care in Andalusia (Spain).

INTRODUCTION: There is a need to develop composite indicators to monitor mental health care in countries such as Spain, where there is wide variability of care systems in 17 different regions. The aim of this study is to generate and to test the usability of synthetic indexes in Andalusia (Southern Spain). METHOD: Seven mental health indicators were selected by expert opinion from a previous list of simple indicators used to compare mental health care systems across Spain (Psicost-74). A Geographical Information Systems (GIS) was used to delineate 71 sectors based on the catchment areas of the mental health centers in Andalusia. Synthetic indexes were obtained through linear combinations of simple indicators via Principal Components Analysis (PCA), using activity data from the Mental Health Information System of Andalusia (SISMA). Maps of these indexes were drawn for 71 catchment areas. RESULTS: Two synthetic indexes were obtained and showed high consistency in the PCA. The Care Load Index (component 1) related to population size and total outpatient care provided within the area. The Case Load Index (component 2) related to assisted morbidity in relation to the population size. The care load index was higher in populated urban areas, whereas the case load was higher in rural areas. DISCUSSION: Care and case load indexes show a different pattern in urban and rural areas. This may be related to a different underlying model of care related to the degree of urbanisation. Geographical Information Systems (GIS) improved recognition and assessment of the spatial phenomena related to the mental health care system, and support policy decision making process in mental health.