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ObjectiveTo construct an evaluation index system for the development of district-level disease prevention and control centers according to the requirements of the modernization of Shanghai’s disease control system and public health work practices， and to comprehensively assess the construction and development of district-level disease prevention and control institutions. MethodsAccording to the national and municipal requirements for the development of disease prevention and control institutions， an index framework was proposed through literature search and expert interviews. 39 representative experts in the field of public health at the national， provincial， and municipal （district） levels were selected to participate in the consultation and construction of the index system. The authority coefficient， the coefficient of variation， etc. were used to carry out quality control and determination of each index on the Delphi method. ResultsThe questionnaire response rate was 100%， the expert authority coefficient was 0.86，the degree of familiarity was 0.79， and the judgment basis was 0.92. The coefficients of variation of the necessary indicators in the index system were all <0.25 in the dimension of importance， and there were statistical differences in the statistical test of Kendall’s W coordination coefficients at all levels and dimensions （all P<0.001）. After multiple rounds of consultation， experts reached a consensus， forming a development evaluation index system of district-level CDCs with 6 first-level indicators， 24 second-level indicators， and 105 third-level indicators （including 63 necessary indicators and 42 recommended indicators）. ConclusionThe evaluation index system of Shanghai district-level CDCs based on the Delphi method has good authority， reliability， sensitivity and operability. This indicator system can effectively support the development of Shanghai district-level CDCs， and can be used for evaluation at multiple levels and in an all-round way in the future. The evaluation results can provide an evidence-based basis for the modernization of the disease prevention and control system and the continuous and dynamic updating of the development goals in the future.
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ObjectiveTo understand the internet media information of COVID-19 in Shanghai in 2022， to provide evidence for health administration departments to respond to public health emergencies， and to establish a comprehensive public health media surveillance system. MethodsData on internet media information and the local COVID-19 epidemic data in Shanghai from January 1 to June 30， 2022 were collected and analyzed. ResultsA total of 90.197 3 million pieces of internet media information were monitored. The top four sources of the information were Weibo （36.84%）， short videos （26.19%）， internet media （14.47%）， and forums （13.31%）. The variation trend of daily internet media surveillance information was identified with the number of newly reported cases per day， and a correlation was found （r＝0.770. After the seven-day moving average，r＝0.796）. Frequent keywords included Shanghai， cheer up， nucleic acid， new cases， local， asymptomatic， prevention and control， gratitude， isolation， epidemic prevention， supplies， pandemic response， patient， seeking help， and clearing the cases. Within the information on Weibo， in addition to netizens in Shanghai （7 823 100） who were highly concerned about the pandemic， netizens from Beijing （2 749 100）， Guangdong Province （2 352 300）， Jiangsu Province （2 189 100） and Zhejiang Province（1 532 100） also posted a relatively high amount of information related to COVID-19 in Shanghai. ConclusionThe outbreak of major infectious diseases triggers significant online activity， and platforms such as Weibo and short video platforms play crucial roles in disseminating internet media information. Weibo， short videos etc. are important platforms for current internet media information. Strengthening media information monitoring and analysis， paying close attention to hot events， taking timely response measures and actively engaging in risk communication contribute to the response and management of public health emergencies.
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@#Abstract: Objective To analyze and compare the effects of different clinical characteristics on the negative conversion time of nucleic acid detection after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant infection, and to provide a scientific basis for the isolation and treatment of coronavirus disease 2019 (COVID-19). Methods The epidemiological and clinical data of 228 mild SARS-CoV-2 Omicron variant infected patients diagnosed in Shanghai were retrospectively collected from April 27, 2022 to June 8, 2022 in Wujiaochang designated Hospital, Yangpu District, Shanghai. The negative conversion time of nucleic acid detection was used as the outcome variable, and the patients were divided into A (≤18 days) and B (>18 days). Univariate and multivariate logistic regression analysis were used to analyze the influencing factors of the negative conversion time of nucleic acid detection. Results The mean nucleic acid conversion time of 228 patients was (18.7±12.1) d, with the median time of 18 (2-46) d. Among them, 120 patients in group A had an average nucleic acid conversion time of (13.2±2.0) d, and 108 cases in group B had an average nucleic acid conversion time of (20.8±1.3) d. Univariate analysis showed that there were no statistically significant differences in the effects of hypertension, coronary heart disease, diabetes, hypokalemia, malignant tumors, neuropsychiatric diseases, chronic digestive diseases on the negative nucleic acid conversion time (P>0.05); however, there were significant differences in the effects of combined cerebrovascular disease, leukopenia, chronic respiratory system diseases and vaccination on the negative nucleic acid conversion time (P<0.05). Further multivariate logistic regression analysis revealed that the combination of chronic respiratory diseases and non-vaccination were significant risk factors for prolongation of negative nucleic acid conversion time (P<0.05). Conclusions The results of this study show that gender, age and whether hypertension, coronary heart disease, diabetes mellitus, hypokalemia, malignant tumor, neuropsychiatric disease and chronic digestive disease have no significant effect on the nucleic acid conversion time, whereas chronic respiratory disease and no vaccination are significantly correlated with the prolongation of nucleic acid conversion time in SARS-CoV-2 Omicron-infected patients.
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Objective To establish the Good Agricultural Practice（GAP）for standard operation procedure of Shanghai Pheretima. Methods According to the comprehensive technical requirements of GAP standardized production of Chinese herbal medicine, the key technologies of standardized cultivation and processing were studied in Sangxin Town, Chongming District, Shanghai. Results The production area environment, variety characteristics, breeding technology, pest control, harvesting and processing, packaging, storage and transportation, quality monitoring and other technical links of Shanghai Pheretima were clearly defined and standardized. Conclusion This study provides practical basis for the standardization and modernization quality management of Shanghai Pheretima.
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As the "star product" of Shanghai, Shanghai herbal paste has played an irreplaceable role both in the treatment of diseases and nurturing health. The concept of Shanghai regional culture, Shanghai style Chinese medicine and Shanghai herbal paste were introduced by the combination of literature search and practical experience. The historical developments of Shanghai herbal paste were summarized in order to understand Shanghai herbal paste comprehensively and provide a historical and empirical basis for the inheritance and innovation of Shanghai herbal paste.
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ObjectiveTo investigate the contamination status and drug resistance of Campylobacter spp. in poultry sold in Jiading District， Shanghai. MethodsFour types of poultry meats （chickens， ducks， geese and pigeons） were sampled from commercial markets， and potential Campylobacter spp. contamination was isolated and identified. Furthermore， resistance of isolated Campylobacter spp. to 15 commonly used antibiotics was tested. ResultsTotally 29 Campylobacter jejuni strains and 34 Campylobacter. coli were isolated from 236 commercial poultry samples. The most severe contamination of Campylobacter spp. was found in chicken samples， with a detection rate of 34.04%， while the lowest detection rate of Campylobacter spp. was found in duck （19.67%）. Contamination status was categorized with different storage conditions. The lowest detection rate of 6.67% was noted under frozen condition， while highest detection rate of 41.27% was noted under cold storage. Campylobacter jejuni was completely resistant to cefazolin， ciprofloxacin， nalidixic acid and tetracycline， and Campylobacter coli was completely resistant to cefazolin， cefoxitin and nalidixic acid； Campylobacter spp. showed the lowest resistance to imipenem. Multi-drug resistant strains accounted for 100.00% of the isolated strains. 96.83% of the strains were resistant to more than 5 drugs， with the highest number reaching 14 kinds of antibiotics. ConclusionThere is a significant difference in the contamination status and drug resistance of Campylobacter spp. isolated from four types of poultry meats sold in Jiading District， Shanghai， and the drug resistance is serious. It is strongly recommended that the use of antibiotics should be strictly controlled. Freezing can effectively reduce Campylobacter spp. pollution.
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【Objective】 To analyze the clinical characteristics of stone culture and preoperative urine culture of patients with renal calculi in Songjiang area of Shanghai and the relationship with postoperative infection. 【Methods】 The clinical data of 213 patients with kidney stones treated at our hospital during Jan.2020 and Jun.2022 were retrospectively analyzed. All patients underwent preoperative clean midcourse urine culture, drug sensitivity test and stone culture. The gender difference between male and female patients and the difference in postoperative infection between stone/bacterial culture positive and negative patients were analyzed. 【Results】 Among the 213 patients, 47(22.1%) had positive urine culture, and the most common bacterium was Escherichia coli (20 strains, 42.6%). The proportion of Escherichia coli was significantly higher in female patients than in male patients [12 strains (48.0%) vs.8 strains (36.4%), P<0.05], while the proportion of Klebsiella pneumoniae was significantly higher in male patients than in female patients [5 strains (22.7%) vs. 3 strains (12.0%), P<0.05]. Drug sensitivity results showed the main Gram-negative bacteria were highly resistant to ampicillin/sulbactam, cefazolin and cefuroxime, but sensitive to imipenem, kanamycin and piperacillin/tazobactam. The main Gram-positive bacteria were highly resistant to clindamycin, erythromycin and levofloxacin, but sensitive to vancomycin, teicoplanin and linezolid. Stone culture was positive in 31 cases (14.6%), and the most common bacterium was Proteus mirabilis (9 strains, 29.0%). However, there was no significant difference in the main bacterial spectrum between male and female patients. The positive rate of urine culture/stone culture in patients with postoperative fever/urosepsis was significantly higher than that in patients with negative urine culture/stone culture (P<0.05). 【Conclusion】 Escherichia coli is the main urinary spectrum of patients with kidney stones in Songjiang area, which is greatly different from the stone culture results. In clinical practice, etiological detection and antibiotics are necessary to reduce the occurrence of postoperative infection.
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ObjectiveTo understand the epidemic characteristics of notifiable infectious diseases （NIDs） other than coronavirus disease 2019 （COVID-19） in Shanghai in 2020， and to provide evidence for formulating infectious disease prevention and control strategies. MethodsData of NIDs reported in Shanghai from 2015 to 2020 were collected through the National Information System for Disease Control and Prevention. Descriptive epidemiological methods were used to analyze the incidence and prevalence characteristics of NIDs in Shanghai in 2020， and compared them with the average values of 2015 to 2019. ResultsA total of 45 574 cases of 23 kinds of NIDs were reported in Shanghai in 2020， except for COVID-19， with an incidence of 187.69/105， and a decrease rate of 50.58% compared with the average value of 2015 to 2019. The incidence of category B and C infectious diseases decreased by 38.07% and 57.47%， respectively （All P<0.001）. The top 3 reported infectious diseases with the highest incidence rate were influenza （64.58/105）， syphilis （39.09/105） and tuberculosis （24.90/105）. The incidence of most infectious diseases decreased compared with the average of 2015 to 2019， among which measles （97.15%）， rubella （88.81%）， pertussis （87.43%）， hand foot mouth disease （85.99%） and scarlet fever （79.84%） decreased significantly （all P<0.001）. In general， compared with the average from 2015 to 2019， respiratory infectious diseases declined most， followed by intestinal infectious diseases， insect-borne and natural focal infectious diseases， blood-borne and sexually transmitted diseases. Districts with higher incidence in 2020 were Fengxian District （310.23/105）， Xuhui District （271.93/105） and Hongkou District （254.38/105）. Respiratory infectious diseases in Fengxian District， intestinal infectious diseases in Jinshan District， blood-borne and sexually transmitted infectious diseases in Changning District， and insect-borne and natural focal infectious diseases in Yangpu District showed the highest incidence rate. Incidence of infectious diseases in 16 districts of Shanghai decreased with different degrees （all P<0.001）. Incidence of infectious diseases in males （209.44/105） was higher than that in females （164.89/105） （χ2=624.864， P<0.001）. Children aged 0-9 years had the highest incidence of respiratory and intestinal infectious diseases. People aged 70‒79 years and 20‒29 years had higher incidence of blood-borne and sexually transmitted infectious diseases， and people aged 20‒29 years had the highest incidence of insect-borne and natural focal infectious diseases. Majority of the patients were students （8 327 cases， 18.27%）， retired people （6 393 cases， 14.03%） and unemployed household workers （5 988 cases， 13.14%）. ConclusionUnder the COVID-19 prevention and control policies， the incidence of most NIDs in Shanghai decreased significantly in 2020.
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Background At present, insufficient support for enterprise health environment and career development may lead to severe depressive emotion among occupational groups. Objective To investigate current state of depressive emotion and the relationship between health literacy and depressive emotion among occupational groups in Shanghai, and to provide evidence for formulating health management measures to alleviate depressive emotion among the occupational population. Methods This cross-sectional survey, using two-stage stratified sampling, was from December 2022 to February 2023, and selected 2548 active workers from 151 enterprises in Shanghai. A total of 2489 valid questionnaires were returned, with a recovery rate of 97.68%. Health literacy, internality health locus of control, and depressive emotion were evaluated by the Health Literacy Questionnaire, the Multidimensional Health Locus of Control Scale-Internality Health Locus of Control, and the Patient Health Questionnaire Depression Scale-9 item (PHQ-9), respectively. R 4.2.2 software was used for statistical analysis, binary logistic regression model was used to analyze the association between health literacy, internality health locus of control, and the risk of depressive emotion, and multiple linear model was used to analyze the correlation between health literacy, internality health locus of control, and PHQ-9 related indicators (total score, affective score, and somatic score). Results A total of 2489 workers aged 18 years and above in Shanghai were included in the analysis, 868 of them reported depressive emotion, and the positive rate of depressive emotion was 34.9%. The total score, affective score, and somatic score of PHQ-9 in M(P25, P75) were 3.00 (0.00, 6.00), 1.00 (0.00, 4.00), and 1.00 (0.00, 3.00), respectively. The results of binary multiple logistic regression analysis showed that after adjusting for selected confounders, no health literacy (OR=1.32, 95%CI: 1.10, 1.60; P=0.004) and low level of internality health locus of control (OR=1.66, 95%CI: 1.35, 2.05; P < 0.001) were associated with an increased risk of reporting depressive emotion. The results of multiple linear model showed that the lack of health literacy and low internality health locus of control were positively correlated with the total score, affective score, and somatic score of PHQ-9. Conclusion Depressive emotion among the working population in Shanghai is prominent, and more than 1/3 of them report depressive emotion. Lower health literacy and internality health locus of control are related to an increased risk of depressive emotion in the study population. Improving occupational health literacy and enhancing internality health locus of control are expected to prevent depressive emotion in occupational groups.
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Development of materials with both medicinal and edible values has become part of the national health strategy and a growth point of a new round of industrial development， which is of great significance for health management with Chinese characteristics. As a pioneer in reform， innovation and development， Shanghai has always been at the forefront of the the field of medicine and health in China and even globally. This paper reviewed relevant progress on the use and management of materials with both medicinal and edible values at home and abroad. Furthermore， it investigated and analyzed the foundation， institutional guarantees， and advantages of management， as well as the current status of management in Shanghai. This study provides reference for the government to further improve its management policy of the catalogue of materials with both medicinal and edible values.
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OBJECTIVE@#To predict the trends for fine-scale spread of Oncomelania hupensis based on supervised machine learning models in Shanghai Municipality, so as to provide insights into precision O. hupensis snail control.@*METHODS@#Based on 2016 O. hupensis snail survey data in Shanghai Municipality and climatic, geographical, vegetation and socioeconomic data relating to O. hupensis snail distribution, seven supervised machine learning models were created to predict the risk of snail spread in Shanghai, including decision tree, random forest, generalized boosted model, support vector machine, naive Bayes, k-nearest neighbor and C5.0. The performance of seven models for predicting snail spread was evaluated with the area under the receiver operating characteristic curve (AUC), F1-score and accuracy, and optimal models were selected to identify the environmental variables affecting snail spread and predict the areas at risk of snail spread in Shanghai Municipality.@*RESULTS@#Seven supervised machine learning models were successfully created to predict the risk of snail spread in Shanghai Municipality, and random forest (AUC = 0.901, F1-score = 0.840, ACC = 0.797) and generalized boosted model (AUC= 0.889, F1-score = 0.869, ACC = 0.835) showed higher predictive performance than other models. Random forest analysis showed that the three most important climatic variables contributing to snail spread in Shanghai included aridity (11.87%), ≥ 0 °C annual accumulated temperature (10.19%), moisture index (10.18%) and average annual precipitation (9.86%), the two most important vegetation variables included the vegetation index of the first quarter (8.30%) and vegetation index of the second quarter (7.69%). Snails were more likely to spread at aridity of < 0.87, ≥ 0 °C annual accumulated temperature of 5 550 to 5 675 °C, moisture index of > 39% and average annual precipitation of > 1 180 mm, and with the vegetation index of the first quarter of > 0.4 and the vegetation index of the first quarter of > 0.6. According to the water resource developments and township administrative maps, the areas at risk of snail spread were mainly predicted in 10 townships/subdistricts, covering the Xipian, Dongpian and Tainan sections of southern Shanghai.@*CONCLUSIONS@#Supervised machine learning models are effective to predict the risk of fine-scale O. hupensis snail spread and identify the environmental determinants relating to snail spread. The areas at risk of O. hupensis snail spread are mainly located in southwestern Songjiang District, northwestern Jinshan District and southeastern Qingpu District of Shanghai Municipality.
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Animals , Bayes Theorem , China/epidemiology , Ecosystem , Gastropoda , Supervised Machine LearningABSTRACT
ObjectiveTo know the epidemic incidence features of the nurseries and kindergartens in Jinshan District， and to supply the scientific supporting data for the work of preventing and controlling the epidemic diseases in nurseries and kindergartens. MethodsThe epidemic incidence rate， diseases sequence， and time distribution in Jinshan District from Jan 1， 2011 to Dec 30， 2020 were subjected to descriptive epidemic analysis， and the incidence rate in different years was analyzed by the Model of Joinpoint. ResultsBetween 2011 and 2020 in Jinshan nurseries and kindergartens， the epidemic incidence rate were 5 257 cases， with an annual average of 3.28%. It presented the peak every 2 or 3 years， and the yearly peak was distinctively from March to June and from September to December. The top three epidemic diseases were hand-foot-mouth diseases， herpangina and chicken pox. The trend analysis by Joinpoint showed that there is no obvious downtrend in the overall incidence of infectious diseases， but the incidence rate trend of herpangina， influenza， and infectious diarrhea apparently appeared rising. ConclusionThe nurseries and kindergartens should prevent and control the epidemic incidence peak more targeted and effective. It should add the herpangina to the list of “The Nursery and Kindergarten Monthly Epidemic Report”.
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ObjectiveTo determine the level of anti-measles antibody and its fluctuation trend in children under 8 months old， which may provide evidence for enhancing the measles immunization strategy. MethodsA cross-sectional study was conducted to collect the serum of the children aged 1‒8 months in a children’s medical center in Shanghai. Serum concentration of anti-measles IgG antibody was determined by enzyme-linked immunosorbent assay （ELISA）， and dynamics of IgG antibody level was compared. ResultsA total of 837 children aged 1‒8 months were tested for anti-measles antibody， and there was no statistical difference in the antibody level between boys and girls （P>0.05）. In the age of 1 month children， the average geometric antibody concentration （GMC） was 529.66 IU‧L-1， and the antibody positive rate and protection rate were 86.07% and 29.51% respectively. After the age of 3 months， the antibody level dropped sharply in the age of 8 months children， the GMC decreased to 44.46 IU‧L-1. The positive rate was 12.00%， and the protection rate was 1.00%. The mathematical model of GMC reduction trend in children aged 1‒8 months was Ŷ=-0.144 8X+2.640（R2=0.911 3， P<0.001）. ConclusionThe low level of mother-transmitted protective antibody and its downward trend with age are the important factors leading to the incidence of measles in children aged1‒8 months. It is suggested that intensive immunization should be carried out for women of childbearing age to improve the level of mother-transmitted antibodies in her baby.
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ObjectiveTo analyze the epidemiological characteristics of scarlet fever in Putuo District， Shanghai from 2015 to 2020， and provide a basis for formulating effective prevention and control measures. MethodsThe data of scarlet fever cases from January 1， 2015 to December 31， 2020 in Putuo District， Shanghai were obtained from the Infectious Disease Reporting Information Management System of the Chinese center for disease control and prevention （CDC）. Descriptive epidemiological method was used to analyze the epidemiological characteristics of scarlet fever cases in Putuo District， Shanghai by time， population， and region. ResultsA total of 586 scarlet fever cases were reported in Putuo District from 2015 to 2020， with an average annual reported incidence of 7.39 per 105， an average age of onset of 6.2±1.8 years， and a male/female ratio of 1.6∶1. The incidence of scarlet fever has declined significantly in 2020， which was 5.44 per 105 lower than the average reported incidence in 2015‒2020. The incidence peak was from April to June and November to January of the following year， which was characterized by high incidence in spring and winter. The age distribution of cases was concentrated at the age of 4‒9 years， mainly children in kindergarten and primary school students. Areas with high reported incidence rates were Wanli Street， Changzheng Town， Taopu Town and Changfeng New Village Street. ConclusionThe peak incidence of scarlet fever in Putuo District is from April to June and November to January of the following year， with children in kindergartens and students in primary school as the key populations. We should strengthen epidemic monitoring and guidance of prevention and control for in kindergartens and schools before the high incidence season of scarlet fever， so as to effectively prevent the epidemic of the disease.
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ObjectiveTo analyze the epidemiological characteristics of a family cluster of COVID-19 in a district of Shanghai， and to provide a scientific basis for prevention and control of cluster epidemic of COVID-19. MethodsField epidemiological survey was applied to study the cases and close contacts of a family cluster of COVID-19 in a district of Shanghai in 2021. Descriptive analysis of epidemiological survey data was conducted and real-time fluorescent quantification （RT-PCR） was used to detect new coronavirus nucleic acid for the collected specimens. ResultsCase A was the source of infection in the home aggregated epidemic. There were 2 second-generation cases infected in the whole incubation period. Case B and C were transmitted by case A through eating together. The PCR test results were negative both in the close contacts outside the family of primary contacts as well as in the close contacts to primary close contacts. ConclusionCOVID-19 is highly contagious and populations are generally susceptible. It is easy to cause family aggregated epidemic situation. Asymptomatic infection should be detected early and isolated. We should strengthen the tracking and management of close contacts of COVID-19 cases， and identify the second-generation cases as soon as possible.
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Objective To study the composition and concentration of atmospheric particulate pollutants in four seasons in the industrial and clean living areas， and to provide a scientific basis for the strategy of controlling industrial pollution and atmospheric environment. Methods An industrial area dominated by the automobile industry in Shanghai and a relatively clean living area were selected. Samples were collected simultaneously in both areas and continuously for 7 days in the middle of each season. The composition and concentration of PM2.5 were determined， and the ecological risk of heavy metals in PM2.5 was evaluated by the potential ecological risk index method. Results We found PM2.5 concentration was associated with seasonal changes. The PM2.5 concentration in living areas was the highest in winter， followed by spring， and the lowest in summer. The PM2.5 concentration in industrial areas was the highest in spring， followed by winter， and the lowest in summer. The heavy metals in PM2.5 were the same， including Al， Cr， Mn， Ni， As， Cd， Hg and Pb. The content of Cr， Cd and Pb in PM2.5 in the industrial area is significantly higher than that in the living area. The potential ecological hazard coefficient of PM2.5 heavy metal Cd in the industrial zone was the highest， up to 189.47， and it was the main component of the total potential ecological hazard index of heavy metals. According to the total potential risk grade of heavy metals， the heavy metal Cd in the industrial area had different degrees of ecological harm with seasonal changes. The ecological harm degree of heavy metal Cd was the highest in winter， high in spring and autumn， and low in summer. Conclusion Although the concentration of PM2.5 in the industrial area is not higher than that in the living area， the content of Cr， Cd and Pb in the PM2.5 in the industrial area is significantly higher than that in the living area. The concentration of PM2.5 in the industrial area is mainly related to seasons， industrial production and human factors. The potential ecological harm coefficient of heavy metal Cd in PM2.5 is the highest in comparison with other heavy metals such as Cr， Hg and Pb， and it is the main component of the total potential ecological harm index ofheavy metals.
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Objective To study the composition and concentration of atmospheric particulate pollutants in four seasons in the industrial and clean living areas， and to provide a scientific basis for the strategy of controlling industrial pollution and atmospheric environment. Methods An industrial area dominated by the automobile industry in Shanghai and a relatively clean living area were selected. Samples were collected simultaneously in both areas and continuously for 7 days in the middle of each season. The composition and concentration of PM2.5 were determined， and the ecological risk of heavy metals in PM2.5 was evaluated by the potential ecological risk index method. Results We found PM2.5 concentration was associated with seasonal changes. The PM2.5 concentration in living areas was the highest in winter， followed by spring， and the lowest in summer. The PM2.5 concentration in industrial areas was the highest in spring， followed by winter， and the lowest in summer. The heavy metals in PM2.5 were the same， including Al， Cr， Mn， Ni， As， Cd， Hg and Pb. The content of Cr， Cd and Pb in PM2.5 in the industrial area is significantly higher than that in the living area. The potential ecological hazard coefficient of PM2.5 heavy metal Cd in the industrial zone was the highest， up to 189.47， and it was the main component of the total potential ecological hazard index of heavy metals. According to the total potential risk grade of heavy metals， the heavy metal Cd in the industrial area had different degrees of ecological harm with seasonal changes. The ecological harm degree of heavy metal Cd was the highest in winter， high in spring and autumn， and low in summer. Conclusion Although the concentration of PM2.5 in the industrial area is not higher than that in the living area， the content of Cr， Cd and Pb in the PM2.5 in the industrial area is significantly higher than that in the living area. The concentration of PM2.5 in the industrial area is mainly related to seasons， industrial production and human factors. The potential ecological harm coefficient of heavy metal Cd in PM2.5 is the highest in comparison with other heavy metals such as Cr， Hg and Pb， and it is the main component of the total potential ecological harm index ofheavy metals.
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Objective@#To analyze the current status and equity of mental health resources allocation in Shanghai Municipality, so as to provide data supports to formulate mental health action plans and relevant policies. .@*Methods@#The data pertaining to mental health institutions, actual beds opened, certified or assistant psychiatrists and registered nurses was collected from the Survey of the Current Status on Mental Health Resources in Shanghai Municipality in 2020. The equity of mental health resources allocated by population and geographical area in Shanghai Municipality was evaluated with Lorenz curve and Gini coefficient@*Results@#There were 96 mental health institutions, 15 060 actual beds opened, 257 certified or assistant psychiatrists and 2 887 registered nurses in Shanghai Municipality in 2020, with a physician-to-nurse ratio of 1∶2.30. The greatest numbers of actual beds opened in the department of psychiatrics, the number of certified or assistant psychiatrists and the number of registered nurses per 10 000 residents and per km2 were all found the central urban areas. The numbers of actual beds opened in the department of psychiatrics, the number of certified or assistant psychiatrists and the number of registered nurses per 10 000 residents were 6.06 beds, 0.51 physicians and 1.16 nurses, with Gini coefficients of 0.36, 0.42 and 0.44, respectively, and the numbers of actual beds opened in the department of psychiatrics, the number of certified or assistant psychiatrists and the number of registered nurses per km2 were 2.38 beds, 0.20 physicians and 0.46 nurses, with Gini coefficients of 0.72, 0.76 and 0.75, respectively. @*Conclusions@#There was a gross equity in mental health resources allocated by population and geographical area in Shanghai Municipality in 2020, which showed an improvement as compared to 2015. The equity in mental health resources allocated by geographical area was lower than that by population in Shanghai Municipality.
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Objective To screen for malignant tumors and high-risk factors in rural residents over 60 years old， so as to prevent and control the occurrence and development of tumors in the future. Methods The survey was conducted with reference to part of the questionnaire in the "Urban Cancer Early Diagnosis and Treatment Project and Evaluation of High-risk Populations". Clinical examinations included serum tumor marker detection， CT screening for lung cancer， occult blood （+） plus colonoscopy screening for colorectal cancer， and mammography screening. Individuals who were positive in the abovementioned clinical tests were defined as high-risk subjects. Results A total of 271 high-risk subjects （1.91%） were screened out of 14 161. Among the high-risk subjects， 71 cases of malignant tumors （26.19%） were found， with an incidence rate of 501.38 per 105. The top five tumors （63.38% of all diagnosed） were mainly concentrated in lung， upper digestive tract， blood system， urinary system， and rectum-colon. The proportion of malignant tumors detected by positive indicators was 61.54% of blood； 46.15% of carcinoembryonic antigen and carbohydrate antigen 125； 23.08% of alpha-fetoprotein； 16.66% of lung CT； and 3.09% of prostate PSA. The positive indicators in the high-risk subjects were mainly for the tumors in the prostate， lungs， liver， and CEA/CA125. The subjects with positive test indicators had lower average annual income in the last 5 years than the normal subject group （χ2=3.380， P=0.040）. The subjects with positive test indicators had higher proportion in family history of tumors than the normal group （χ2=2.596， P=0.046）. People in thehigh-risk group had a higher proportion than the normal group in suffering from hypertension， liver disease， gastrointestinal disease， respiratory system disease， and surgical treatment. Patients with high-risk tumors were found to have higher proportion than the normal group in showing pre-tumor clinical symptoms in the last 1 year. Study of the tumor-related risk factors found that the high-risk group had a higher proportion of high-fat/high-cholesterol diet， alcohol drinking， passive smoking， and personality depression. Conclusion High tumor risk factors have been identified in this population. It is necessary to strengthen the corresponding intervention and follow-up treatment of precancerous diseases in the future. We recommend the government to conduct tumor screening among high-risk groups to improve cost-effectiveness.
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Objective To describe the current situation of self-stigma in patients with mental disorders and investigate its related influencing factors. Methods Using cluster sampling method， general situation and self-stigma of 3 926 patients with mental disorders were investigated with a questionnaire. Results The average total score of stigma in patients with mental disorders was 32.81±14.41. There were statistically significant differences between social factors and occupation， economic status， mental symptoms and behavior involving violence， insight， medication compliance， adverse drug reactions， family monitoring， relationship between guardian and patient， and social participation and social function. There were statistically significant differences between ability factors and occupation， education level， marital status， diagnosis， past accidents and dangerous behaviors， mental symptoms involving violence， insight， medication compliance， disability assessment， implementation of guardianship subsidy measures， family guardianship， relationship between guardians and patients， and social participation and social function. There were statistically significant differences between treatment factors and occupation， marriage， diagnosis， mental symptoms involving violence， insight， medication compliance， adverse drug reactions， family supervision， relationship between guardian and patient， and social participation and social function. According to multiple linear stepwise regression analysis， factors with influence on the total score of stigma， in descending order， were adverse drug reactions， family monitoring， mental status and behavior involving violence， employment， medication compliance， and social function and social participation. Conclusion Patients with mental disorders have a high score of self-stigma， which is related to adverse drug reactions， family monitoring， mental status and behavior involving violence， employment， medication compliance， and social function and social participation.