1.Review of a new investigation method based on wastewater-based epidemiology
Jinxin ZANG ; Qifan YANG ; Na WANG
Shanghai Journal of Preventive Medicine 2022;34(4):394-398
Due to the lack of real-time monitoring information of traditional epidemiological investigation methods, in recent years, a new method of obtaining relevant epidemiological information through wastewater analysis has become an effective way to maintain the health of the population, which is called wastewater-based epidemiology. Information obtained from the chemical analysis of wastewater can be used to estimate exposure or consumption of chemicals. This work introduces the principle and the investigation method of wastewater-based epidemiology. Compared with traditional epidemiological survey methods, the advantages and disadvantages of wastewater-based epidemiology are analyzed. Development and prospects of wastewater-based epidemiological investigation methods in China are analyzed and some suggestions are discussed.
2.Distribution characteristics of antibiotic resistance genes in the domestic water of residents in Haimen, Jiangsu Province
Chuanwu MAO ; Li ZHANG ; Jinxin ZANG ; Lufang JIANG ; Chenglong XIONG ; Na WANG ; Feng JIANG ; Chaowei FU ; Jingjing HU ; Qingwu JIANG
Shanghai Journal of Preventive Medicine 2023;35(12):1199-1205
ObjectiveAntibiotic resistance genes (ARGs) have received wide attention all over the world. The purpose of this study was to explore the bacterial community structure, the types and levels of antibiotic resistance genes in a water body in east China, and to compare and analyze the characteristics of microbial species distribution and antibiotic resistance gene distribution in various water environments. MethodsA total of 10 households in Haimen City, Jiangsu Province were selected and their surrounding water environment samples were collected. 21 water samples including river water (4), Mingou water (9) and well water (8) were collected for metagenomics sequencing, assembled with MetaWRAP, annotated with CARD database, and analyzed with R software. ResultsIn various water bodies, the dominant bacteria phyla was Proteobacteria, the dominant bacteria genera were Deuterostomia, Pseudomonas, Flavobacteriales and Streptomycetaceae. The ARGs annotated were mainly composed of quinolones, aminoglycosides, macrolides and beta-lactams antibiotic resistance genes. The top four relative abundance of resistance genes were macB, RanA, evgS and TxR, The average absolute abundance and expression of resistance genes in well water and Mingou water were higher than those in river water. ConclusionMultiple ARGs are detected to varying degrees in well water, river water, and Mingou water bodies, and the expression of resistance genes in well water and Mingou water bodies is higher than that in river water bodies, possibly due to human production and living activities.
3.Efficacy of different questionnaires in screening COPD in the communities of Songjiang District, Shanghai
Xin YIN ; Yiling WU ; Shanshan HOU ; Jing LI ; Wei LUO ; Minjun YU ; Jinxin ZANG ; Wei WANG ; Xuyan SU ; Qi ZHAO ; Yinfeng ZHU ; Genming ZHAO ; Yonggen JIANG ; Qingwu JIANG ; Na WANG
Shanghai Journal of Preventive Medicine 2024;36(4):386-392
ObjectiveTo evaluate the efficacy of three screening questionnaires for COPD in the community residents of Songjiang District, Shanghai, and to provide a basis for selecting COPD screening questionnaire and process that are more suitable. MethodsCommunity residents aged 40 years or over were randomly selected from the Shanghai Suburban Adult Cohort and Biobank for the study with screening questionnaires and spirometry. Questionnaires included the COPD screening questionnaire (COPD-SQ), the COPD population screener (COPD-PS) and the revised COPD diagnostic questionnaire (revised-CDQ). Evaluation of the efficacy of these questionnaires was based on the area under the receiver operating characteristic curve (AUC) of the subjects. DeLong test was used to compare the accuracy of different questionnaires; Z test was used to compare the accuracy of different cut-off values for the same questionnaire. ResultsAmong 3 184 community residents, a total of 259 (8.1%) COPD patients were screened by spirometry. AUC values of these 3 screening questionnaires were >0.7 indicating that they were reliable COPD screening tools. The sensitivity and specificity of the questionnaires at the recommended cut-off values were COPD-SQ (63.7% and 72.2%), COPD-PS (12.0% and 96.1%), and revised CDQ (78.8% and 52.7%), with the COPD-SQ having the highest screening accuracy (AUC=0.754). The optimal and recommended cut-off values for the three questionnaires differed in this population, but the difference in accuracy was statistically significant only for COPD-PS. The optimal cut-off values for the three questionnaires differed between male and female, and the sensitivity and accuracy of COPD-SQ and COPD-PS improved when lower cut-off values were used for women. The AUC was greater when two questionnaires were utilized simultaneously for screening, but the differences were not statistically significant. ConclusionThe COPD-SQ is recommended for primary COPD screening; a lower cut-off value for women should be considered. The COPD screening questionnaire needs to be further improved for the early diagnosis and treatment of COPD patients.