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The impact of climate change in recent years has caused considerable risks to both urban and rural systems. How to mitigate the damage caused by extreme weather events has attracted much attention from countries in recent years. However, most of the previous studies on resilience focused on either urban areas or rural areas, and failed to clearly identify the difference between urban and rural resilience. In fact, the exploration of the difference between the resilience characteristics of cities and villages under climate change can help to improve the planning strategy and the allocation of resources. In this study, the indicators of resilience were firstly built through a literature review, and then a Principal Component Analysis was conducted to construct an evaluation system involving indicators such as "greenland resilience", "community age structure resilience", "traditional knowledge resilience", "infrastructure resilience" and "residents economic independence resilience". Then the analysis of Local Indicators of Spatial Association showed some resilience abilities are concentrated in either urban or rural. Binary logistic regression was performed, and the results showed urban areas have more prominent abilities in infrastructure resilience (the coefficient value is 1.339), community age structure resilience (0.694), and greenland resilience (0.3), while rural areas are more prominent in terms of the residents economic independence resilience (-0.398) and traditional knowledge resilience (-0.422). It can be seen that urban areas rely more on the resilience of the socio-economic structure, while rural areas are more dependent on their own knowledge and economic independence. This result can be used as a reference for developing strategies to improve urban and rural resilience.

Cities face acute shock like hurricanes and floods, and chronic stresses such as droughts, water shortages, urban floods, and urban using water. How cities can create a development model in which the water and environment can coexist to alleviate the problem with urban water has become a common problem faced by countries or cities. Sponge city construction becomes a possible option to meet these challenges. According to the dimensions of pre-assessment, this article constructs the sponge city assessment indicator which is divided into three aspects: water ecosystem, socioeconomic system, and institutional and mechanism system; then, the degree of importance and degree of satisfaction are applied as the evaluation framework for the fuzzy multiple criteria to perform the comparison between the government officials and the public regarding the evaluation to analyze group differences. The results are that the difference in the evaluation dimensions between the officials and the public is between 0.8 and 1, but there exists difference in the degree of importance of water management and water use, and in the degree of satisfaction with water development, water efficiency, and mechanism. This result is helpful to find the problems and provide a decision basis for the further exploration. PRACTITIONER POINTS: Constructed indicators for sponge city construction, which can be used to evaluate stormwater management. Using fuzzy multiple criteria to compare officials and public can be used as a basis for decision-making in water management. Constructed three indicators of sponge city: water ecosystem, socioeconomic system, and institutional and mechanism system., (© 2020 Water Environment Federation.)

Commensal rats (Rattus spp.), which are globally distributed, harbour many pathogens responsible for significant human diseases. Despite this, we have a poor understanding of the epidemiology and genetic diversity of some recently neglected zoonotic pathogens, such as Leptospira spp., Bartonella spp. and hepatitis E virus (HEV), which constitute a major public health threat. Thus, we surveyed the occurrences, co-infection and genetic diversity of these pathogens in 129 urban rats from China. For Rattus tanezumi, the prevalences of Leptospira spp., Bartonella spp. and HEV infection were 6.67%, 0% and 46.67%, respectively. The prevalences of Leptospira spp., Bartonella spp. and HEV infection were 57.89%, 9.65% and 57.89% for Rattus norvegicus respectively. Leptospira spp. and HEV infections were more likely to occur in mature R. norvegicus. Phylogenetic analyses showed that pathogenic Leptospira interrogans and Leptospira borgpetersenii might exist. We also found that Bartonella spp. showed high similarity to Bartonella elizabethae, Bartonella rochalimae and Bartonella tribocorum, which are implicated in human disease. Dual and triple infections were both detected. Moreover, dual infections with Leptospira spp. and HEV represented the most frequent co-infection, and there was a significantly positive association between them. High genetic diversity was observed in genes segments from Leptospira, Bartonella and HEV. Our results first discover the occurrence of multiple co-infections and genetic diversity of Leptospira, Bartonella and HEV in commensal rats from China. Altogether, the present study provides an insight into evaluating the risk of rat-borne zoonoses in urban China., (© 2020 Blackwell Verlag GmbH.)

Daily interaction is a primary means of understanding social change which is of vital importance for community well-being. In tourism host communities, daily interactions among different resident groups reflect tourism's effects which are directly related to tourists' experiences and community harmony. In this exploratory article, grounded theory was applied to analyze daily interactions between locals and migrants in Zhouzhuang, the first ancient tourism town in China, based on in-depth interviews. A model framework was also constructed. The results pinpoint subjective interaction intention and objective interaction opportunities as two influencing factors which operate reciprocally and directly influence locals' and migrants' daily interactions. The findings suggest that many locals and migrants experience clear communication boundaries in daily interactions. Both groups' subjective interaction intentions were influenced by their cultural backgrounds, group perceptions, and original social networks, all of which are difficult to modify within a short time. Therefore, increasing objective communication opportunities is a key way to promote intergroup interaction and integration. These findings provide theoretical and practical implications for tourism host communities' well-being and sustainable development.

Soil pollution by metal(loid)s resulting from rapid economic development is a major concern. Accurately estimating the spatial distribution of soil metal(loid) pollution has great significance in preventing and controlling soil pollution. In this study, 126 topsoil samples were collected in Kunshan City and the geo-accumulation index was selected as a pollution index. We used Kriging interpolation and BP neural network methods to estimate the spatial distribution of arsenic (As) and cadmium (Cd) pollution in the study area. Additionally, we introduced a cross-validation method to measure the errors of the estimation results by the two interpolation methods and discussed the accuracy of the information contained in the estimation results. The conclusions are as follows: data distribution characteristics, spatial variability, and mean square errors (MSE) of the different methods showed large differences. Estimation results from BP neural network models have a higher accuracy, the MSE of As and Cd are 0.0661 and 0.1743, respectively. However, the interpolation results show significant skewed distribution, and spatial autocorrelation is strong. Using Kriging interpolation, the MSE of As and Cd are 0.0804 and 0.2983, respectively. The estimation results have poorer accuracy. Combining the two methods can improve the accuracy of the Kriging interpolation and more comprehensively represent the spatial distribution characteristics of metal(loid)s in regional soil. The study may provide a scientific basis and technical support for the regulation of soil metal(loid) pollution., Competing Interests: The authors declare no conflict of interest.

Background: The objectives of the survey were to identify the level of influenza vaccination coverage in China in three influenza seasons 2009/10 to 2011/12, and to find out potential predictors for seasonal influenza vaccination., Methods: In September and October 2011, representative urban household telephone surveys were conducted in five provinces in China with a response rate of 6%. Four target groups were defined for analysis: 1) children ≤ 5 years old; 2) elderly persons aged ≥ 60 years old; 3) health care workers (persons working in the medical field) and 4) chronically ill persons., Results: The overall mean vaccination rate was 9.0%. Among the four target groups, the rate of vaccination of children aged ≤ 5 years old (mean = 26%) was highest and the rate of elderly people aged ≥ 60 years old (mean = 7.4%) was the lowest, while the rates of persons who suffer from a chronic illness (mean = 9.4%) and health care workers (9.5%) were similar. A subsidy for influenza vaccination, age group, health care workers, suffering from a chronic illness and living in Eastern China were independent significant predictors for influenza vaccination., Conclusions: The seasonal influenza vaccination coverage rates among urban populations in selected cities and provinces in China were far below previously reported rates in developed countries. Influenza vaccination coverage rates differed widely between different target groups and provinces in China. Subsidy policy might have a positive effect on influenza vaccination rate, but further cost-effectiveness studies, as well as the vaccination rate associated factors studies are still needed to inform strategies to increase coverage.