Lower Intent to Comply with COVID-19 Public Health Recommendations Correlates to Higher Disease Burden in Following 30 Days.

OBJECTIVES: We sought to determine whether self-reported intent to comply with public health recommendations correlates with future coronavirus disease 2019 (COVID-19) disease burden. METHODS: A cross-sectional, online survey of US adults, recruited by snowball sampling, from April 9 to July 12, 2020. Primary measurements were participant survey responses about their intent to comply with public health recommendations. Each participant's intent to comply was compared with his or her local COVID-19 case trajectory, measured as the 7-day rolling median percentage change in COVID-19 confirmed cases within participants' 3-digit ZIP code area, using public county-level data, 30 days after participants completed the survey. RESULTS: After applying raking techniques, the 10,650-participant sample was representative of US adults with respect to age, sex, race, and ethnicity. Intent to comply varied significantly by state and sex. Lower reported intent to comply was associated with higher COVID-19 case increases during the following 30 days. For every 3% increase in intent to comply with public health recommendations, which could be achieved by improving average compliance by a single point for a single item, we estimate a 9% reduction in new COVID-19 cases during the subsequent 30 days. CONCLUSIONS: Self-reported intent to comply with public health recommendations may be used to predict COVID-19 disease burden. Measuring compliance intention offers an inexpensive, readily available method of predicting disease burden that can also identify populations most in need of public health education aimed at behavior change.

Spatiotemporal Patterns of the Use of Green Space by White-Collar Workers in Chinese Cities: A Study in Shenzhen

White-collar workers, with tremendous work pressure, excessive working hours, and poor physical condition, need green spaces not only to have physical exercise and social gatherings, but also to become closer to nature and to relieve stress for their mental health. In China, the 996 office schedule, working from 09:00 to 17:00 six days a week, has become popular in the workplace;under such high-intensity work and pressure, white-collar workers have limited time to access green space for leisure, and their use of green space for health benefits is compromised. This study selected Shenzhen Futian Central Business District to find out the green space use patterns and preferences of white-collar workers based on GPS data and questionnaire surveys. In addition, the value of green exposure in the time dimension was calculated according to individuals’ actual behaviors. Based on cluster analysis, this study summarized the typical green space use patterns of three groups of white-collar workers, which reflects the hidden inequity of white-collar groups who are subjected to varying degrees of spatiotemporal constraints in using green space. This paper puts forward three directions for the optimization of green space allocation, functional facilities, and improved walkability in employment-intensive urban areas. The results provide certain guiding significance for alleviating the mismatch of time and space in green space enjoyment and for improving the spatiotemporal inclusiveness of green spaces in urban central business districts.