OBJECTIVE:To provide unified standard for assessing the comprehensive ability of food and drug inspection and testing institutions in Guangxi Zhuang autonomous region. METHODS:The comprehensive ability evaluation index system for food and drug inspection and testing institutions in Guangxi Zhuang autonomous region was drafted by literature review. Indexes of the evaluation index system were determined by Delphi expert consultation,and the weights were calculated by analytic hierarchy pro-cess (AHP). RESULTS:Literature review and expert consultation had constructed the comprehensive ability evaluation index sys-tem for food and drug inspection and testing institutions in Guangxi Zhuang autonomous region,including 6 first-level indexes,16 second-level indexes and 35 third-level indexes. AHP had determined the weights of indexes at all levels,and the weights of the 6 first-level indexes as basic conditions,management system,testing ability,work performance,scientific research and satisfaction degree,were respectively 0.1898,0.1233,0.2280,0.1915,0.1551 and 0.1124,in which testing ability held the highest weight. CONCLUSIONS:A set of scientific and suitable evaluating index system for food and drug inspection and testing institu-tions in Guangxi Zhuang autonomous region has been constructed,and the weights of indexes at all levels have been determined, which can provide clear and unified standard for conducting comprehensive ability system evaluation in each inspection and testing institution in Guangxi Zhuang autonomous region.

Objective To investigate the current situation and annual trend of injuries among primary and middle school students in Changning District, Shanghai, and to provide scientific evidence for decision-making of prevention and control. Methods The monitoring data of various types of injuries was collected from the ^“cause of class absence^” system during the 2010-2017 school years. The Joinpoint regression analysis was used to estimate the annual percent change and average annual percent change, and to perform the trend test. Results During the 2010-2017 school years in Changning District, a total of 2,286 cases of injuries occurred among primary and middle school students, with an injury rate of about 0.70%. The top three prevalent injury types were falls, traffic accidents, and burn-related injury. The results of Joinpoint trend analysis indicated that the incidence of total injuries in Changning District was generally decreasing, which was mainly due to the effective control of injuries caused by falls, traffic accidents, and burns, and to the decreasing injury incidence among primary school students. Conclusion The overall situation of injuries among primary and middle school students in Changning District has improved significantly, but falls and traffic accidents are still important health threats. More attentions should be paid to certain groups, such as vocational and special education students.

ObjectiveTo investigate the relationship between mosquito density fluctuations and meteorological factors, so as to provide a scientific basis for mosquito surveillance analysis, risk assessment, and comprehensive prevention and control. MethodsMosquito surveillance and monitoring data of 2020‒2023 was obtained from on-site supervisory sampling by Songjiang Center for Disease Control and Prevention, and meteorological data was obtained from the Wheat A wheat malt-agro-meteorological big data system. Excel 2019 and SPSS 25.0 software were used to organize and analyze the mosquito number, species composition, and seasonal changes in mosquito density captured by the CO₂-light trap at rach monitoring site. Circular distribution method was used to calculate the peak time of mosquito density, combined with the meteorological data of the same period to explore the impact of meteorological factors on the results of mosquito surveillance. ResultsThere was a statistical difference in the overall distribution of mosquito quantity in different habitats(H=23.11, P<0.05), 2020‒2023. In addition, the results showed that July 28th was the peak day for mosquito density, and the duration from June 13th to September 11th was the seasonal peak period for mosquitoes. Pearson correlation analysis showed a positive correlation between mosquito density and average air temperature, average highest air temperature, average lowest air temperature, extreme maximum air temperature, extreme minimum air temperature, precipitation, and number of precipitation days (all P<0.01). While, there was no significant correlation between average wind speed and mosquito density (P>0.05). Multiple stepwise regression analysis resulted in the equation of Y=0.151X_{extreme minimum temperature}+0.321X_{number of precipitation days}+1.002X_{SQRT precipitation}-1.288 (F=102.635, P<0.05). ConclusionThe CO₂-light trap is advisable to monitor the habitats of farmers, livestock sheds, residential areas, parks, hospitals, and other external environments. Air temperature and precipitation have a significant impact on mosquito density. It is recommended to implement comprehensive prevention and control measures to reduce mosquito density and prevent mosquito-borne diseases before the peak period of mosquitoes.