ObjectiveTo find out whether there is any difference in the monitoring results of mosq-ovitraps placed in different orientations in multi-storey residential areas, so as to provide a scientific basis for routine and emergency monitoring of Aedes albopictus with mosq-ovitraps in residential areas. MethodsFrom July 6th to October 26th 2023, one mosquito ovitrap was set up in each of the 4 orientations of east, south, west and north around the buildings in a multi-storey residential area in Jinhui Town, Fengxian District, Shanghai. Data was collected and recorded 72 hours after placement. The chi-square test was used to compare the mosquito ovitrap indices (MOIs) of two independent samples, and the Kruskal⁃Wallis H test was used to compare the MOIs of multiple independent samples. ResultsAfter 16 weeks of surveillance, 997 mosquito ovitraps were recovered, of which 211 were positive, with the mosquito ovitrap index (MOI) of 21.16% and the Aedes albopictus density index of 1.03 mosquitoes·ovitrap^-1. The MOIs were higher in September (24.22%) and October (23.96%), and the MOIs in the west, south and north within the two months were all above 20.00%. From July to October, the MOIs in the east, west, south and north were 20.70%, 22.20%, 25.50% and 16.20%, respectively, and the difference in MOIs among the 4 orientations was not statistically significant (χ²=6.647, P=0.084). Stratified analysis by month showed that in August, the south side of the multi-storey residential areas had the highest MOI (31.30%), the north side had the lowest MOI (1.30%), and there was a statistically significant difference in MOI in the east, west, south and north (χ²=25.986, P<0.001). In October, the MOI in the west was the highest (33.30%) and the MOI in the east was the lowest (6.30%), the difference in MOIs of the 4 orientations was statistically significant (χ²=12.007, P=0.007). The MOIs in the south side of the building in the outskirts of the residential area from the 1st week in July to the 4th week in October was lower (19.20%) than that in the south side of the inner building (31.70%), and the difference in MOI was statistically significant (χ²=5.118, P=0.024). ConclusionThe study of MOI in different orientations in a multi-storey residential area is a preliminary exploration based on field work, and the results show that there is a difference in MOIs in different orientations during the peak breeding period of mosquitoes. Further indicators such as temperature, humidity and wind speed in different orientations can be collected to explore the influencing factors of MOIs.

Objective It screens the main factors influencing the choice of the governance structure of the medical alliances,and discusses the matching relationship between the type of governance structure and the performance of the medical alliances,which provides a reference for further promoting the medical alliances.Methods The text coding analysis of interview data from hospital administrators of 54 medical institutions was analyzed using the rooting theory,and 150 medical alliances were selected for questionnaire surveys using convenience sampling to analyze the performance of the medical alliances and the relationship with the choice of the type of governance structure using descriptive statistics,nonparametric tests,factor analysis,and multivariate linear regression.Results The results show that the following factors affect the selection of the governance structure of medical alliances:asset specificity,transaction frequency and uncertainty;regardless of the type of governance structure of the medical alliances,asset specificity and uncertainty both significantly and positively influence the performance of medical alliances.Under the governance structure of the property-type alliance,transaction frequency has no statistically significant effect on the performance of the medical alliances.Conclusion Enhancing the positive impact of asset exclusivity and uncertainty on the performance of medical alliances.

Objective It screens the main factors influencing the choice of the governance structure of the medical alliances,and discusses the matching relationship between the type of governance structure and the performance of the medical alliances,which provides a reference for further promoting the medical alliances.Methods The text coding analysis of interview data from hospital administrators of 54 medical institutions was analyzed using the rooting theory,and 150 medical alliances were selected for questionnaire surveys using convenience sampling to analyze the performance of the medical alliances and the relationship with the choice of the type of governance structure using descriptive statistics,nonparametric tests,factor analysis,and multivariate linear regression.Results The results show that the following factors affect the selection of the governance structure of medical alliances:asset specificity,transaction frequency and uncertainty;regardless of the type of governance structure of the medical alliances,asset specificity and uncertainty both significantly and positively influence the performance of medical alliances.Under the governance structure of the property-type alliance,transaction frequency has no statistically significant effect on the performance of the medical alliances.Conclusion Enhancing the positive impact of asset exclusivity and uncertainty on the performance of medical alliances.

Objective It screens the main factors influencing the choice of the governance structure of the medical alliances,and discusses the matching relationship between the type of governance structure and the performance of the medical alliances,which provides a reference for further promoting the medical alliances.Methods The text coding analysis of interview data from hospital administrators of 54 medical institutions was analyzed using the rooting theory,and 150 medical alliances were selected for questionnaire surveys using convenience sampling to analyze the performance of the medical alliances and the relationship with the choice of the type of governance structure using descriptive statistics,nonparametric tests,factor analysis,and multivariate linear regression.Results The results show that the following factors affect the selection of the governance structure of medical alliances:asset specificity,transaction frequency and uncertainty;regardless of the type of governance structure of the medical alliances,asset specificity and uncertainty both significantly and positively influence the performance of medical alliances.Under the governance structure of the property-type alliance,transaction frequency has no statistically significant effect on the performance of the medical alliances.Conclusion Enhancing the positive impact of asset exclusivity and uncertainty on the performance of medical alliances.

Objective It screens the main factors influencing the choice of the governance structure of the medical alliances,and discusses the matching relationship between the type of governance structure and the performance of the medical alliances,which provides a reference for further promoting the medical alliances.Methods The text coding analysis of interview data from hospital administrators of 54 medical institutions was analyzed using the rooting theory,and 150 medical alliances were selected for questionnaire surveys using convenience sampling to analyze the performance of the medical alliances and the relationship with the choice of the type of governance structure using descriptive statistics,nonparametric tests,factor analysis,and multivariate linear regression.Results The results show that the following factors affect the selection of the governance structure of medical alliances:asset specificity,transaction frequency and uncertainty;regardless of the type of governance structure of the medical alliances,asset specificity and uncertainty both significantly and positively influence the performance of medical alliances.Under the governance structure of the property-type alliance,transaction frequency has no statistically significant effect on the performance of the medical alliances.Conclusion Enhancing the positive impact of asset exclusivity and uncertainty on the performance of medical alliances.

Objective It screens the main factors influencing the choice of the governance structure of the medical alliances,and discusses the matching relationship between the type of governance structure and the performance of the medical alliances,which provides a reference for further promoting the medical alliances.Methods The text coding analysis of interview data from hospital administrators of 54 medical institutions was analyzed using the rooting theory,and 150 medical alliances were selected for questionnaire surveys using convenience sampling to analyze the performance of the medical alliances and the relationship with the choice of the type of governance structure using descriptive statistics,nonparametric tests,factor analysis,and multivariate linear regression.Results The results show that the following factors affect the selection of the governance structure of medical alliances:asset specificity,transaction frequency and uncertainty;regardless of the type of governance structure of the medical alliances,asset specificity and uncertainty both significantly and positively influence the performance of medical alliances.Under the governance structure of the property-type alliance,transaction frequency has no statistically significant effect on the performance of the medical alliances.Conclusion Enhancing the positive impact of asset exclusivity and uncertainty on the performance of medical alliances.

Objective It screens the main factors influencing the choice of the governance structure of the medical alliances,and discusses the matching relationship between the type of governance structure and the performance of the medical alliances,which provides a reference for further promoting the medical alliances.Methods The text coding analysis of interview data from hospital administrators of 54 medical institutions was analyzed using the rooting theory,and 150 medical alliances were selected for questionnaire surveys using convenience sampling to analyze the performance of the medical alliances and the relationship with the choice of the type of governance structure using descriptive statistics,nonparametric tests,factor analysis,and multivariate linear regression.Results The results show that the following factors affect the selection of the governance structure of medical alliances:asset specificity,transaction frequency and uncertainty;regardless of the type of governance structure of the medical alliances,asset specificity and uncertainty both significantly and positively influence the performance of medical alliances.Under the governance structure of the property-type alliance,transaction frequency has no statistically significant effect on the performance of the medical alliances.Conclusion Enhancing the positive impact of asset exclusivity and uncertainty on the performance of medical alliances.

Objective It screens the main factors influencing the choice of the governance structure of the medical alliances,and discusses the matching relationship between the type of governance structure and the performance of the medical alliances,which provides a reference for further promoting the medical alliances.Methods The text coding analysis of interview data from hospital administrators of 54 medical institutions was analyzed using the rooting theory,and 150 medical alliances were selected for questionnaire surveys using convenience sampling to analyze the performance of the medical alliances and the relationship with the choice of the type of governance structure using descriptive statistics,nonparametric tests,factor analysis,and multivariate linear regression.Results The results show that the following factors affect the selection of the governance structure of medical alliances:asset specificity,transaction frequency and uncertainty;regardless of the type of governance structure of the medical alliances,asset specificity and uncertainty both significantly and positively influence the performance of medical alliances.Under the governance structure of the property-type alliance,transaction frequency has no statistically significant effect on the performance of the medical alliances.Conclusion Enhancing the positive impact of asset exclusivity and uncertainty on the performance of medical alliances.

Objective It screens the main factors influencing the choice of the governance structure of the medical alliances,and discusses the matching relationship between the type of governance structure and the performance of the medical alliances,which provides a reference for further promoting the medical alliances.Methods The text coding analysis of interview data from hospital administrators of 54 medical institutions was analyzed using the rooting theory,and 150 medical alliances were selected for questionnaire surveys using convenience sampling to analyze the performance of the medical alliances and the relationship with the choice of the type of governance structure using descriptive statistics,nonparametric tests,factor analysis,and multivariate linear regression.Results The results show that the following factors affect the selection of the governance structure of medical alliances:asset specificity,transaction frequency and uncertainty;regardless of the type of governance structure of the medical alliances,asset specificity and uncertainty both significantly and positively influence the performance of medical alliances.Under the governance structure of the property-type alliance,transaction frequency has no statistically significant effect on the performance of the medical alliances.Conclusion Enhancing the positive impact of asset exclusivity and uncertainty on the performance of medical alliances.

This study has combed and analyzed the characteristics of medical doctoral supervisors and the enrollment status from 2015 to 2018 in Tongji University School of Medicine. The results show that the distribution of doctoral supervisors' age, gender and professional title is relatively balanced. The enrollment situation shows the clustering trend. There are obvious differences in enrollment among clinical medical disciplines, and the scales of doctoral supervisors and doctoral students are not matched and unevenly distributed. It is essential to give an overall consideration in discipline resources and optimize enrollment allocation, for improving the construction of doctoral supervisors and the quality of doctoral training.