ABSTRACT
BackgroundTo combat the Covid-19 pandemic in the United States, many states and Washington DC enacted Stay-at-Home order and nonpharmaceutical mitigation interventions. This study examined the determinants of the timing to implement an intervention. Through an impact analysis, the study explored the effects of the interventions and the potential risks of removing them under the context of reopening the economy. MethodA content analysis identified nine types of mitigation interventions and the timing at which states enacted these strategies. A proportional hazard model, a multiple-event survival model, and a random-effect spatial error panel model in conjunction with a robust method analyzing zero-inflated and skewed outcomes were employed in the data analysis. FindingsTo our knowledge, we provided in this article the first explicit analysis of the timing, determinants, and impacts of mitigation interventions for all states and Washington DC in the United States during the first five weeks of the pandemic. Unlike other studies that evaluate the Stay-at-Home order by using simulated data, the current study employed the real data of various case counts of Covid-19. The study obtained two meritorious findings: (1) states with a higher prevalence of Covid-19 cases per 10,000 population reacted more slowly to the outbreak, suggesting that some states may have missed the optimal timing to prevent the wide spread of the Covid-19 disease; and (2) of nine mitigation measures, three (non-essential business closure, large-gathering bans, and restaurant/bar limitations) showed positive impacts on reducing cumulative cases, new cases, and death rates across states. InterpretationThe opposite direction of the prevalence rate on the timing of issuing the mitigation interventions partially explains why the Covid-19 caseload in the U.S. remains high. A swift implementation of social distancing is crucial-- the key is not whether such measures should be taken but when. Because there is no preventive vaccine and because there are few potentially effective treatments, recent reductions in new cases and deaths must be due, in large part, to the social interventions delivered by states. The study suggests that the policy of reopening economy needs to be implemented carefully.
ABSTRACT
Objective@#In this study, a systematic review was made on scientific evidence regarding the impact of food environment on diet-related behavior and obesity in China.@*Methods@#Search on related keywords and references were conducted from four electronic databases including the Cochrane Library, PubMed, Web of Science, and CNKI.@*Results@#Data showed that good availability, accessibility of neighborhood food outlets had increased the diversity of food, including the intakes of total calories, protein, fat, and carbohydrate; however, the consumption of healthy foods such as fruit and vegetables was reducing among the Chinese residents. The effects of neighborhood food environment on obesity remained inconclusive. A large number of fast food restaurants around schools might be responsible for the increase of risk on obesity among students. Regulations set on the school vicinity food stalls might reduce the intake of sugary beverages, snacks and fast food among students.@*Conclusion@#Building a healthy food environment is warranted to nudge the Chinese people towards a healthier diet pattern. However, more evidence is needed to support the evidence in building a healthy food environment.
