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Objective: We analyze the characteristics of Clostridioides difficile ( C. difficile ) infection among diarrhea patients in Kunming from 2018 to 2020 and provide evidence for follow-up surveillance and prevention. Methods: A total of 388 fecal samples of diarrhea patients from four sentinel hospitals in Yunnan Province from 2018 to 2020 were collected. Real-time quantitative PCR was used to detect the fecal toxin genes of C. difficile . The positive fecal samples isolated the bacteria, and isolates were identified by mass spectrometry. The genomic DNA of the strains was extracted for multi-locus sequence typing (MLST). The fecal toxin, strain isolation, and clinical patient characteristics, including co-infection with other pathogens, were analyzed. Results: Among the 388 fecal samples, 47 samples with positive reference genes of C. difficile were positive, with a total positive rate of 12.11%. There were 4 (8.51%) non-toxigenic and 43 (91.49%) toxigenic ones. A total of 18 strains C. difficile were isolated from 47 positive specimens, and the isolation rate of positive specimens was 38.30%. Among them, 14 strains were positive for tcdA , tcdB , tcdC , tcdR, and tcdE . All 18 strains of C. difficile were negative for binary toxins. The MLST results showed 10 sequence types (ST), including 5 strains of ST37, accounting for 27.78%; 2 strains of ST129, ST3, ST54, and ST2, respectively; and 1 strain of ST35, ST532, ST48, ST27, and ST39, respectively. Fecal toxin gene positive ( tcdB +) results were statistically associated with the patient's age group and with or without fever before the visit; positive isolates were only statistically associated with the patient's age group. In addition, some C. difficile patients have co-infection with other diarrhea-related viruses. Conclusions: The infection of C. difficile in diarrhea patients in Kunming is mostly toxigenic strains, and the high diversity of strains was identified using the MLST method. Therefore, the surveillance and prevention of C. difficile should be strengthened.

Infectious diseases are still one of the leading causes of morbidity and death globally, affecting public health and life, social and economic development, and even national security. Early detection focuses on detecting the abnormal information of infectious disease outbreaks or epidemics in a timely and sensitive way to conduct field investigation and verification. It is also a precursor to effective surveillance and early warning system. The effective surveillance and early warning system can fully and accurately understand the real conditions, driving forces, and transmission chain of the occurrence of a specific infectious disease outbreak and epidemic and put forward scientific and effective prevention and control strategies and measures. Due to the measurement of the resources support and the particular data collection value, it is not easy to obtain epidemiological, etiological, and other data information in a timely, complete and accurate manner. This paper summarized the theory and technology on early detection, effective surveillance, and early warning information on infectious diseases. It also integrated and utilized the multi-source data, including effective infectious disease surveillance and the country's early warning system, to better understand the outbreak epidemic, causes, risks, processes, and driving forces. Thus, it is possible to set up a sensitive, specific staging measurement innovative technical system to monitor, early warning, and timely respond to acute infectious diseases through multidisciplinary cooperation in China. It provides the basis for strengthening the surveillance and early warning of new emerging and major infectious diseases and public health emergencies, avoiding the spread of inadequate response to infectious disease, and preventing the resources waste of over-response.

Clostridioides difficile is a key pathogen of antibiotic related diarrhea and hospital associated infection, causing several outbreaks in Europe and North Americans and resulting in severe disease burden. However, the standardized diagnostic principle and detection specifications in C . difficile infection (CDI) survey are limited in China, and the infection rate and disease burden of CDI in China are unclear. Therefore, National Institute for Communicable Disease Control and Prevention,National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, together with another 11 institutions, draft the group standard entitled "Diagnosis of Clostridium difficile infection (T/CPMA 008-2020)" of Chinese Preventive Medicine Association. Based on the principle of "legality, scientificity, advancement, and feasibility", this standard clarifies risk factors, diagnosis principles, diagnoses and differential diagnoses in order to improve the accuracy of CDI diagnosis in clinical practice, guide the surveillance for CDI, and understand the infection rate and disease burden of CDI in China .

Objective: To understand the characteristics and relation of clinical stage and outcome of severe cases on hand, foot and mouth disease (HFMD) and to establish the evaluation method for understanding severity of this disease. Methods: According to factors as geographical location, economic and epidemic levels, five provinces (Henan, Shandong, Yunnan, Zhejiang and Sichuan provinces) were selected. Reported severe cases of HFMD from the National Notifiable Diseases Reporting System were selected randomly in the five provinces. Basic epidemiological information, clinical data, and pathogen testing results in the involved hospitals were collected. Clinical stages on all the patients were decided in accordance with"the clinical expert consensus on diagnosis and treatment for severe case of enterovirus type 71 (EV71) infections (2011 edition)" . Data were analyzed using SPSS software 18.0 and other epidemiological methods. Results: A total of657 severe HFMD cases were investigated, with 326 cases positive of EV71, accounting for 91.3 % (326/357) among all the laboratory-confirmed cases. Of the 657 cases, 542 cases (82.5 % , 95 %CI : 79.4 %- 85.3 % ) were diagnosed as in stage 2 (with nervous system involvement), 99 cases (15.1 % , 95 %CI : 12.4 %- 18.0 % ) in stage 3 (early phase of function failure on heart and lung), and 16 cases (2.4 % , 95 %CI : 1.4 %- 3.9 % ) were in stage 4 (function failure of heart and lung). 11 cases (1.7 % , 95 %CI : 0.9 %- 3.0 % ) were with squeal when discharged from hospital with 8 cases (1.2 % , 95 %CI : 0.6 %- 2.3 % ) died. When comparing the proportions among stage 2, stage 3 and stage 4, significant differences were found between age groups ( χ (2)=22.632, P =0.012). The younger the patient was the lower the proportions of stage 2 and the more proportion of stage 3 appeared. When comparing the proportions of clinical stages among the five provinces, significant differences ( χ (2)=41.481, P =0.000) were noticed. Proportions of different clinical stages in gender, ethnicity, occupation, place of residence types and the type of pathogen appeared no significant differences, respectively. However, the proportions of squeal and death in stage 2, stage 3 and stage 4 showed significant differences (sequela: χ (2)=12.960, P =0.001; Death: χ (2)=16.850, P =0.001), respectively. Conclusions: The percentage of clinical stages of severe HFMD patients related to the rate of squeal and death. Clinical staging can be used for assessing the clinical severity of complications and the effectiveness of treatment, of HFMD.