Objective To explore the feasibility and importance of active monitoring of vancomycin‐related nephrotoxicity .Meth‐ods During July 2010 to July 2013 ,a total of 139 cases of inpatients received vancomycin through intravenous injection were en‐rolled in this study .The adverse drug reaction active monitoring and early warning system were utilized to evaluate patients with vancomycin positive events .Results Among the 139 cases of patients ,there was 9 cases of patients with renal damage .The inci‐dences of compensatory stage of renal insufficiency ,decompensatory stage of renal insufficiency ,renal failure stage and end‐stage re‐nal failure were 44 .44% ,22 .22% ,22 .22% and 11 .11% respectively .The positive warning rates when serum creatinine level was above 133 μmol/L ,increased by 50% compared with the baseline ,increased with 44 μmol/L based on the baseline were 55 .56% , 22 .22% and 22 .22% respectively ,and those positive warning rates in artificial relevance evaluation were 19 .18% ,19 .18% and 56 .54% respectively .Conclusion It is necessary to individualize utilization of vancomycin according to patients′s condition .

Objective To evaluate and compare the short-term effects of two kinds of plastic mulch on Oncomelania hupensis snail control in irrigation and drainage ditches with snails in Yunnan Province. Methods The irrigation and drainage ditches with high density of Oncomelania hupensis snails were chosen as the investigation sites,and then 4 groups were set,namely a colorless plastic mulch group,black plastic mulch group,colorless plastic mulch with molluscicide group and black plastic mulch with molluscicide group. The snail situation of the 4 groups was surveyed before the experiment and 7,14,21,30 days after covering plastic mulch,and the snail death rates were compared among the 4 groups. Meanwhile,the hourly temperatures of soil surface,soil surface under plastic mulch and soil layer 5,15 cm under the surface as well as the weather situation during the study period were measured and recorded. Results The average snail mortality rate of the colorless plastic mulch group was only 15.29% that was higher than that of the black plastic mulch group(6.56%)(P < 0.01). The average snail mortality rates of the colorless and black plastic mulch with molluscicide groups were 40.80% and 50.15%,respectively,and there was no statis-tic difference between them(P > 0.05). Both kinds of plastic mulches could raise the temperature of the soil surface under plas-tic mulch and the soil layer below it,and the temperature of soil under the mulches increased over the cover time,and the aver-age temperature of the soil surface under the black mulch in 30 days was higher than that under the colorless mulch. Conclu-sion It is not suitable to use plastic mulch only in irrigation and drainage ditches with snails widely in Yunnan Province be-cause of its low effect,and if necessary,the molluscicide should be added.

Schistosomiasis was once hyper-endemic in Yunnan Province. Following concerted efforts for over 70 years, remarkable achievements have been made for schistosomiasis control in the province. In 2004, the Mid- and Long-term Plan for Schistosomiasis Prevention and Control in Yunnan Province was initiated in Yunnan Province, and the target for transmission control of schistosomiasis was achieved in the province in 2009. Following the subsequent implementation of the Outline for Key Projects in Integrated Schistosomiasis Control Program (2009—2015) and the 13th Five - year Plan for Schistosomiasis Control in Yunnan Province, no acute schistosomiasis had been identified in Yunnan Province for successive 12 years, and no local Schistosoma japonicum infections had been detected in humans, animals or Oncomelania hupensis snails for successive 6 years in the province by the end of 2020. The transmission of schistosomiasis was interrupted in Yunnan Province in 2020. This review summarizes the history of schistosomiasis, changes in schistosomiasis prevalence and progress of schistosomiasis control in Yunnan Province, and proposes the future priorities for schistosomiasis control in the province.

Objective To predict the potential geographic distribution of Oncomelania hupensis in Yunnan Province using random forest (RF) and maximum entropy (MaxEnt) models, so as to provide insights into O. hupensis surveillance and control in Yunnan Province. Methods The O. hupensis snail survey data in Yunnan Province from 2015 to 2016 were collected and converted into O. hupensis snail distribution site data. Data of 22 environmental variables in Yunnan Province were collected, including twelve climate variables (annual potential evapotranspiration, annual mean ground surface temperature, annual precipitation, annual mean air pressure, annual mean relative humidity, annual sunshine duration, annual mean air temperature, annual mean wind speed, ≥ 0 ℃ annual accumulated temperature, ≥ 10 ℃ annual accumulated temperature, aridity and index of moisture), eight geographical variables (normalized difference vegetation index, landform type, land use type, altitude, soil type, soil textureclay content, soil texture-sand content and soil texture-silt content) and two population and economic variables (gross domestic product and population). Variables were screened with Pearson correlation test and variance inflation factor (VIF) test. The RF and MaxEnt models and the ensemble model were created using the biomod2 package of the software R 4.2.1, and the potential distribution of O. hupensis snails after 2016 was predicted in Yunnan Province. The predictive effects of models were evaluated through cross-validation and independent tests, and the area under the receiver operating characteristic curve (AUC), true skill statistics (TSS) and Kappa statistics were used for model evaluation. In addition, the importance of environmental variables was analyzed, the contribution of environmental variables output by the models with AUC values of > 0.950 and TSS values of > 0.850 were selected for normalization processing, and the importance percentage of environmental variables was obtained to analyze the importance of environmental variables. Results Data of 148 O. hupensis snail distribution sites and 15 environmental variables were included in training sets of RF and MaxEnt models, and both RF and MaxEnt models had high predictive performance, with both mean AUC values of > 0.900 and all mean TSS values and Kappa values of > 0.800, and significant differences in the AUC (t = 19.862, P < 0.05), TSS (t = 10.140, P < 0.05) and Kappa values (t = 10.237, P < 0.05) between two models. The AUC, TSS and Kappa values of the ensemble model were 0.996, 0.954 and 0.920, respectively. Independent data verification showed that the AUC, TSS and Kappa values of the RF model and the ensemble model were all 1, which still showed high performance in unknown data modeling, and the MaxEnt model showed poor performance, with TSS and Kappa values of 0 for 24%(24/100) of the modeling results. The modeling results of 79 RF models, 38 MaxEnt models and their ensemble models with AUC values of > 0.950 and TSS values of > 0.850 were included in the evaluation of importance of environmental variables. The importance of annual sunshine duration (SSD) was 32.989%, 37.847% and 46.315% in the RF model, the MaxEnt model and their ensemble model, while the importance of annual mean relative humidity (RHU) was 30.947%, 15.921% and 28.121%, respectively. Important environment variables were concentrated in modeling results of the RF model, dispersed in modeling results of the MaxEnt model, and most concentrated in modeling results of the ensemble model. The potential distribution of O. hupensis snails after 2016 was predicted to be relatively concentrated in Yunnan Province by the RF model and relatively large by the MaxEnt model, and the distribution of O. hupensis snails predicted by the ensemble model was mostly the joint distribution of O. hupensis snails predicted by RF and MaxEnt models. Conclusions Both RF and MaxEnt models are effective to predict the potential distribution of O. hupensis snails in Yunnan Province, which facilitates targeted O. hupensis snail control.