Objective To analyze the monitoring results of influenza-like cases and their clinical features. Methods Three hundred and fifty cases of influenza-like illness were detected by rapid virological testing. At the same time, the clinical features were analyzed. According to the use of antibiotics, they were divided into two groups, antibiotics group(146 cases) and non antibiotics group(204 cases). Results The patients aged 20 to 29 was more than those in the other ages (P < 0.05) in 350 cases of influenza-like illness.There was significant difference in the morbidity of cough, sore throat, body aches, diarrhea and the blood leukocyte count, neutrophil percentage between two groups (P < 0.05). The body temperature recovery time was (2.5±1.5 ) d in antibiotics group and (2.4±1.9 ) d in non antibiotics group, and there was no significant difference between two groups (P > 0.05). Conclusions In the influenza surveillance program, a early warning system for influenza should established. Collecting and analyzing the information about the frequency,epidemiologieal characteristics and clinical manifestation of influenza-like cases, following up, making biological monitoring and using antibiotics reasonably is the clinically economic, convenient and practical means to prevention and control of influenza outbreaks.

Objective To analyze the effects of change water sources on population iodine nutrition and goiter status in historical high water-iodine area in Yufa Town of Daxing District,Beijing,and evaluate the control effects.Methods A retrospective analysis method was used to collect epidemiological survey data such as water iodine content,urinary iodine content and goiter rate before and after iodine reduction in Yufa Town of Daxing District,Beijing,2005-2016,and the data were compared and analyzed.Results Yufa Town had implemented water reform since 2005.As of 2015,8 change water source projects had been built,and all historical high-water iodine villages had completed drinking water transformation.Totally 64,12,26,26,and 37 water samples were collected and tested in 2005,2009,2010,2011,and 2014,the medians of water iodine were 185.2,20.9,14.1,16.8,and 21.6 μg/L,respectively,and the medians of water iodine decreased significantly through changing water source.Totally 148,153,150,and 40 urine samples of children aged 8 to 10 years old were collected and tested in 2005,2009,2011,and 2016,the medians of urinary iodine were 520.1,201.6,143.0,and 135.0 μg/L,respectively,and the medians of urinary iodine decreased to a suitable range (100-199 μg/L) through changing water source.Totally 154,292,40,and 40 school-age children were tested for thyroid volume in 2005,2009,2011,and 2016,and 10,6,0,and 1 thyroid enlargements were detected,respectively.The thyroid enlargement rates were 6.49％.2.05％,0,and 2.50％,and the rates of goiter were reduced to less than 5％ through changing water source.Conclusion The high water-iodine in water-borne high iodine area in Yufa Town,Daxing District,Beijing is basically eliminated after change water sources,water improvement to reduce iodine is a basic measure to control high iodine damage in high water-iodine areas.

Objective To evaluate the noise hazard level of a coal mining enterprise, and identify high-risk operation types and people, and to provide a basis for preventing and controlling the health damage caused by noise. Methods A large coal mining enterprise in Shaanxi Province was selected as the research object. The noise monitoring data of the coal mine over the years was used to calculate the noise exposure matrix of each post in the enterprise, and the classification of occupational hazards at workplaces (GBZ/T 229.4-2012) was used to assess the occupational health risk levels. Results Among the 22 noise-exposed positions in the enterprise, the 8-hour working day equivalent sound level in positions of shearer driver, horseshoe driver, crusher driver, shuttle driver, relaxation screen driver, and grading screen driver were all higher than the occupational exposure limit of noise. In 2021, the noise exposure levels of shearer drivers, crusher drivers, and coal-selecting workers were all higher than 90 dB (A), and the occupational hazard level was moderate hazard level. In addition, the noise exposure levels of most other jobs also exceeded the occupational exposure limit. Conclusion The noise hazards in the coal mine industry are mainly concentrated in the posts of the coal mining system, tunneling system, and screening workshop. Among them, the shearer driver, the crusher driver, and the coal preparation workers have higher noise exposure levels. It is recommended to take corresponding noise reduction measures and strengthen the protection level to reduce the noise exposure risk of workers.