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@#Abstract: Objective To analyze the resistance and spatial distribution of Mycobacterium tuberculosis (MTB) to six commonly used anti-tuberculosis drugs in Qinghai Province from 2016 to 2019, so as to provide a reference for tuberculosis treatment and drug-resistant tuberculosis control. Methods A total of 1 182 identified strains of Mycobacterium tuberculosis in Qinghai Province from 2016 to 2019 were collected, and 6 anti-tuberculosis drugs were subjected to drug susceptibility tests and strain confirmed by the proportional method. By means of ArcMap10.7 and SaTScan10.1 software, map visualization, spatial autocorrelation analysis and spatial scanning of MTB drug resistance were performed to identify MTB drug resistance clusters in Qinghai Province. Results From 2016 to 2019, the total drug resistance (TDR) rate of 1 182 Mycobacterium tuberculosis strains in Qinghai Province was 23.77% (281/1 182), with a mono-resistance (MR) rate of 11.08% (131/1 182), a poly-resistance (PDR) rate of 3.89% (46/1 182), a multi-drug resistance (MDR) rate of 8.80% (104/1 182), and an extensive drug resistance (XDR) rate of 0.85% (10/1 182). The rates of MDR, XDR and TDR all showed a decreasing trend year by year (P<0.01). The drug resistance spectrum displayed 21 combinations. The TDR rate and MDR rate in the retreatment patients were higher than those of the initial treated patients, and the difference was statistically significant (χ2 TDR=22.784, χ2MDR=45.082, P<0.01). In terms of demographic characteristics, the TDR rate in males was higher than that in females, and the middle-aged group was higher than other age groups, and the differences were statistically significant (χ2=7.541, 10.825, P<0.05). The results of global spatial autocorrelation analysis showed that there was no statistical significance in the autocorrelation and obvious spatial clustering of MTB drug resistance in Qinghai Province from 2016 to 2019 (P>0.05), which indicated a random distribution. The results of spatiotemporal scanning showed that there was a kind of clustering area, but the clustering effect was not significant (P>0.05), indicating a random distribution. Conclusions The TDR of MTB in Qinghai Province from 2016 to 2019 showed a downward trend year by year. In comparison with the national average, the rate of multi-drug resistance and extensive drug resistance was still high, and most of the multi-drug resistance resulted from rifampicin and isoniazid. The drugresistant population mainly consisted of retreatment, males, and young and middle-aged pop
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Objective@#To establish a risk assessment system for the prevention and control of infectious diseases in primary and secondary schools in Tianjin and reduce the risk of infectious disease prevention and control through risk assessment and control.@*Methods@#Based on the failure modes and effect analysis method, a quantitative risk assessment of infectious disease prevention and control in 45 primary and secondary schools in Tianjin was carried out. Risk based supervisory process was assessed, while control effect was evaluated for contined improvement in the prevention and control of infectious diseases in the primary and secondary schools.@*Results@#The top three risk aspects found in the infectious disease prevention and control system in primary and secondary schools in Tianjin included failure to provide sanitation professionals (82.22%) in accordance with regulations, no hand sanitizer or disinfectant (35.56%) in wash basins, and drinking water related products without approval (28.89%). The results of the risk assessment indicated that the three risk aspects with the highest risk priority number (RPN) included failure to provide health professionals( n = 144), no morning and afternoon inspection arrangement( n =126), and low quality of morning and afternoon inspections( n =126). After optimizing the supervision measures for the risk aspects with a detectable degree≥7 points, a quantitative risk assessment was carried out again, the RPN values of all risk points fell below 125, indicating reasonable control effect.@*Conclusion@#Based on the failure mode and effect analysis method, the establishment of a risk assessment system for the prevention and control of infectious diseases in primary and secondary schools and regular risk assessments can timely detect risk aspects in the infectious disease prevention and control, to promote effective prevention of infectious diseases in schools.