Objective:To understand the current status of personal protection in occupational population at high risk for brucellosis in China and provide evidence for the evaluation of implementation of National Brucellosis Prevention and Control Plan (2016-2020).Methods:Four counties in Shanxi Province and Xinjiang Uygur Autonomous Region were selected to conduct a questionnaire survey in occupational population at high risk for brucellosis from December 2019 to July 2020 by using cross-sectional survey methods.Results:A total of 2 384 persons at high risk for brucellosis were surveyed, and the standardized utilization rate of personal protective equipment (PPE) was 20.13% (480/2 384). The utilization rate of glove, mask, rubber shoe, and work cloth were 38.26% (912/2 384), 31.80% (758/2 384), 32.01% (763/2 384) and 30.87% (736/2 384),respectively. There were significant differences in the utilization rate and standardized utilization rate of the four types of PPE among populations in different age, occupation, educational level and area groups (all P<0.001). The utilization rate and standardized utilization rate of PPE were lower in people over 60 years old, women, farmers, and those with lower educational level. The results of multivariate analysis showed that occupation and area were the influencing factors for the standardized utilization of PPE, the standardized utilization rates of PPE were higher in herdsmen and veterinarians. The standardized utilization rate of PPE in Yanggao County and Huocheng County was significantly higher than that in Zuoyun County and Hunyuan County. Conclusions:The utilization rate of the four types of PPE in occupational population at high risk for brucellosis was not high in China, and the standardized utilization rate was low, lower than the requirement in National Brucellosis Prevention and Control Plan, and there were significant differences among different areas. It is urgent to distribute PPE to occupational population at high risk for brucellosis and carry out health education about PPE utilization. Meanwhile, it is necessary to strengthen information exchange or sharing among different areas.

Objective:To understand the current status of knowledge of brucellosis prevention and control among occupational groups at high-risk of brucellosis, and to provide a scientific basis for assessing the effectiveness of brucellosis prevention and control in China.Methods:A total of four counties in Shanxi Province and Xinjiang Uygur Autonomous Region were selected as survey counties from 2019 to 2020, and 600 people from the occupational groups at high-risk of brucellosis in each survey county were selected as survey respondents, and basic information and knowledge of prevention and treatment were collected through questionnaires. Single-factor and multi-factor logistic regression models were used to analyze the factors affecting the population's knowledge of prevention and treatment.Results:A total of 2 411 people participated in the survey and 2 384 valid questionnaires were obtained, including 1 405 males and 979 females, with the youngest age being 18 years old, the oldest being 91 years old, and the median being 57 years old. The overall knowledge of brucellosis prevention and control was 17.74% (423/2 384). The knowledge rate was lower among people over 60 years old, farmers, and people with less than elementary school education (13.99%, 14.50%, and 13.78%), and higher among women, herders, and people with elementary school education (20.02%, 36.33%, and 19.58%); the knowledge rate was lower in Hunyuan County (0.51%), and the differences in overall knowledge rates by age, occupation, education level, and region were statistically significant (χ 2 = 18.25, 87.18, 11.05, 197.43, P < 0.001). Multi-factor logistic regression analysis showed that gender, occupation, literacy and region were associated with knowledge of prevention and treatment ( P < 0.05). Conclusions:The overall knowledge of prevention and treatment among high-risk occupational groups in the key areas of China's brucellosis prevention and treatment program is low, with a large gap with the goals of the national brucellosis prevention and treatment program, and gender, occupation, literacy level, and region are the influencing factors of the knowledge of prevention and treatment. There is an urgent need to carry out a variety of health education activities for high-risk occupational groups and to strengthen the exchange of experience on brucellosis prevention and treatment between regions.

Objective:To explore the medical costs and influencing factors of patients diagnosed with Brucellosis in Xinjiang Uygur Autonomous Region (Xinjiang).Methods:Information on demographics, medical visits, and costs of patients diagnosed with Brucellosis were collected between January 1,2017 and December 31,2019. The effects of different genders, age groups, clinical stages, and comorbidities on patients' health care utilization and medical costs were analyzed by nonparametric tests. The median was used to describe the outpatient and inpatient costs of patients with Brucellosis.Results:A total of 13 532 patients (8 113 outpatient and 5 419 inpatient cases) were included in the analysis. A total of 67.8% (9 176/13 532) were male, with an average age of (42.7±15.4 ) years; age between 18-44 years (46.6%, 6 304/13 532) and 45-59 years (34.2%,4 622/13 532) were the dominant groups. The mean age of inpatients [(43.3±15.7) years] was higher than that of outpatients [(42.3±15.1) years, Z=-3.85, P<0.001]. When hospitalized patients are treated,systemic symptoms were common with fever (36.9%, 1 997/5 419) and fatigue (36.6%, 1 983/5 419), and with joint/muscle pain (68.9%, 3 735/5 419) being the highest proportion of local symptoms. A total of 79.1% (4 289/5 419) of inpatients were diagnosed with acute Brucellosis. A total of 46.5% (2 519/5 419) of inpatients had complications;skeletal system complications ranked the highest. The average number of outpatient visits per outpatient was (1.6±1.4) times. The duration of hospitalization was (11.3±4.2) days, with longer days for patients in the chronic phase and with complications ( P<0.05). A total of 89.3% (4 840/5 419) of inpatients had outpatient records in the same year,and the average number of outpatient visits per patient was (3.6±2.6) times. Outpatient medical costs were dominated by laboratory and drug costs (75.1%), and inpatient costs were dominated by drug, laboratory, and other costs (74.4%). Outpatient medical expenses M( Q1, Q3) were 61(52, 497) Yuan, 61 (51, 346) Yuan and 58 (46, 318) Yuan,respectively. Inpatients' medical expenses M ( Q1, Q3) were 8 214 (6 355, 10 721) Yuan,9 095 (7 018, 12 155) Yuan and 9 492 (7 530, 12 351) Yuan, respectively. For patients, age, clinical stages,complications,and joint/muscle pain symptoms were influential factors for hospitalization costs ( P<0.001). Conclusions:The economic burden was higher for inpatients, especially those in the high age group, with chronic phases and skeletal and neurological complications. Improving patients' awareness of early treatment, standardized treatment, and reducing chronicity and complications are the main points in reducing the economic burden caused by Brucellosis diagnosis and treatment.

ObjectiveTo investigate reinfection or the third time infection with SARS-CoV-2 among the people tested for positive from December 2022 to January 2023 and the influencing factors through a follow-up survey on previous novel coronavirus nucleic acid positive individuals between March to May, 2022. MethodsEpidemiological data of 2 583 novel coronavirus nucleic acid test positive cases were analyzed from March to May, 2022, following a follow-up survey at the 8^th and 12^th month after the first nucleic acid test positivity. Pearson chi-square method was used to analyze the differences of reinfection and the third time infection rates among first-positive patients with different characteristics. Kaplan-Meier survival analysis and Cox regression were used to analyze the influencing factors of reinfection. ResultsA total of 2 264 valid questionnaires were collected in the 8^th month after nucleic acid tested positive, with a recovery rate of 87.7% and a reinfection rate of 9.7%. The third time infection was investigated among the individuals infected twice at the 12^th month after the first nucleic acid test positivity, with a third time infection rate of 4.6%. The median interval (P₂₅, P₇₅) between reinfection and the first nucleic acid test positive for the novel coronavirus was 261 (252, 268) days and the interval (P₂₅, P₇₅) between the third time infection and reinfection was 135 (111,157) days. Gender, age, occupation, smoking, drinking and underlying diseases were not statistically associated with the risk of reinfection (P>0.05). However, the the third time infection rate for medical staffs (20.0%) was higher than that for student /teachers (14.3%) and corporate employees (9.5%), with a statistically significant difference in the third infection rate between different occupations (P<0.05). The risk of reinfection in self-employed individual was lower than that in corporate employees (HR=0.52, 95%CI: 0.33‒0.83), and which was still lower after adjustment for gender and age. The risk of reinfection among those with underlying diseases was 1.54 times (95%CI: 1.08‒2.02) higher than those without underlying diseases, but even 1.85 times (95%CI: 1.25‒2.75) higher after adjustment for gender and age. ConclusionDue to the constant mutation and variants of the novel coronavirus, the risk of reinfection and the third time infection is unavoidable. The presence of underlying diseases and occupation are the main factors influencing reinfection or third time infection.

ObjectiveTo find out whether there is any difference in the monitoring results of mosq-ovitraps placed in different orientations in multi-storey residential areas, so as to provide a scientific basis for routine and emergency monitoring of Aedes albopictus with mosq-ovitraps in residential areas. MethodsFrom July 6th to October 26th 2023, one mosquito ovitrap was set up in each of the 4 orientations of east, south, west and north around the buildings in a multi-storey residential area in Jinhui Town, Fengxian District, Shanghai. Data was collected and recorded 72 hours after placement. The chi-square test was used to compare the mosquito ovitrap indices (MOIs) of two independent samples, and the Kruskal⁃Wallis H test was used to compare the MOIs of multiple independent samples. ResultsAfter 16 weeks of surveillance, 997 mosquito ovitraps were recovered, of which 211 were positive, with the mosquito ovitrap index (MOI) of 21.16% and the Aedes albopictus density index of 1.03 mosquitoes·ovitrap^-1. The MOIs were higher in September (24.22%) and October (23.96%), and the MOIs in the west, south and north within the two months were all above 20.00%. From July to October, the MOIs in the east, west, south and north were 20.70%, 22.20%, 25.50% and 16.20%, respectively, and the difference in MOIs among the 4 orientations was not statistically significant (χ²=6.647, P=0.084). Stratified analysis by month showed that in August, the south side of the multi-storey residential areas had the highest MOI (31.30%), the north side had the lowest MOI (1.30%), and there was a statistically significant difference in MOI in the east, west, south and north (χ²=25.986, P<0.001). In October, the MOI in the west was the highest (33.30%) and the MOI in the east was the lowest (6.30%), the difference in MOIs of the 4 orientations was statistically significant (χ²=12.007, P=0.007). The MOIs in the south side of the building in the outskirts of the residential area from the 1st week in July to the 4th week in October was lower (19.20%) than that in the south side of the inner building (31.70%), and the difference in MOI was statistically significant (χ²=5.118, P=0.024). ConclusionThe study of MOI in different orientations in a multi-storey residential area is a preliminary exploration based on field work, and the results show that there is a difference in MOIs in different orientations during the peak breeding period of mosquitoes. Further indicators such as temperature, humidity and wind speed in different orientations can be collected to explore the influencing factors of MOIs.