1.Research on the application of remote monitoring technology in the field of mental health
Chinese Medical Ethics 2025;38(6):751-757
With the advancement of the “healthy China” strategy and the shift from a disease-centered approach to a people’s health-centered philosophy, smart healthcare, as an emerging technology, has entered the public view and is gradually being applied to address practical health issues. As a key component of smart healthcare, remote monitoring technology, carried by wearable devices and smartphone sensors, has been widely applied in numerous countries worldwide for the entire process of mental health monitoring, prevention, and treatment, demonstrating huge development potential. Taking the European digital health platform RADAR-base as an example, through remote data collection and analysis, remote monitoring technology has not only become a bridge connecting doctors and patients, enabling remote real-time assessment of patient’s health status, but is also becoming an important driving force for the transformation of the European healthcare systems. However, this technology still faces several issues such as low accuracy of monitoring data, ambiguous equipment classification, and induced potential technology anxiety. Using the strengths, weaknesses, opportunities, and threats (SWOT) model for systematic analysis, this paper explored the potential challenges and opportunities of applying remote monitoring technology to mental health issues, providing a reference for the construction of smart mental health technologies.
2.Epidemiological analysis of influenza during COVID-19 epidemic in Jiangsu Province from 2020 to 2022
Huiyan YU ; Changkui SUN ; Fei DENG ; Qigang DAI
Chinese Journal of Preventive Medicine 2023;57(12):2129-2133
By analyzing the epidemic characteristics of influenza during the COVID-19 epidemic in Jiangsu Province from 2020 to 2022, it found that 90 721 influenza-like case samples were collected in Jiangsu Province from 2020 to 2022, of which 6 732 were nucleic acid-positive samples, with an average positive detection rate of 7.4% in three years. The annual positive detection rate presented a U-shaped distribution, with positive detection rates of 4.4%, 3.2% and 14.7%, respectively, with statistically significant differences ( χ2=12 126.00, P<0.001). During the seasonal peak period of influenza from 2020 to 2022, there was a significant decrease in the intensity of the two influenza activity peaks that occurred before the virus became fully prevalent in the population. The first peak occurred from January to February 2020, and the positive detection rate of influenza nucleic acid decreased from 54.4% (317/583) in the third week to 2.1% (12/584) in the eighth week, with a statistically significant difference ( χ2=394.49 , P<0.001) . The second occurred in December 2022, and the positive detection rate of influenza nucleic acid decreased from 14.9% (90/605) at the 49th week to 1.9% (11/572) at the 52nd week, with a statistically significant difference ( χ2=62.88, P<0.001). The influenza epidemic in Jiangsu Province from 2020 to 2022 had obvious seasonal characteristics, and the distribution differences of influenza virus-positive cases in each month were statistically significant ( χ2=858.00, P<0.001), with two epidemic peaks each year: winter, spring (December to March of the following year), and summer, and autumn (July to November). The epidemic strains were the B-V strain and seasonal H3 strain, respectively. There was a statistically significant difference in the positive detection rate of influenza cases detected in different age groups ( χ2=60.00, P<0.001). The age group between 5 and 14 years old had the highest influenza-positive detection rate (10.4%), while the age group≥60 years old had a relatively low influenza-positive detection rate (5.1%). The positive detection rate decreased with the increase in the age group ( Z trend=12.82, P<0.001).
3.Epidemiological analysis of influenza during COVID-19 epidemic in Jiangsu Province from 2020 to 2022
Huiyan YU ; Changkui SUN ; Fei DENG ; Qigang DAI
Chinese Journal of Preventive Medicine 2023;57(12):2129-2133
By analyzing the epidemic characteristics of influenza during the COVID-19 epidemic in Jiangsu Province from 2020 to 2022, it found that 90 721 influenza-like case samples were collected in Jiangsu Province from 2020 to 2022, of which 6 732 were nucleic acid-positive samples, with an average positive detection rate of 7.4% in three years. The annual positive detection rate presented a U-shaped distribution, with positive detection rates of 4.4%, 3.2% and 14.7%, respectively, with statistically significant differences ( χ2=12 126.00, P<0.001). During the seasonal peak period of influenza from 2020 to 2022, there was a significant decrease in the intensity of the two influenza activity peaks that occurred before the virus became fully prevalent in the population. The first peak occurred from January to February 2020, and the positive detection rate of influenza nucleic acid decreased from 54.4% (317/583) in the third week to 2.1% (12/584) in the eighth week, with a statistically significant difference ( χ2=394.49 , P<0.001) . The second occurred in December 2022, and the positive detection rate of influenza nucleic acid decreased from 14.9% (90/605) at the 49th week to 1.9% (11/572) at the 52nd week, with a statistically significant difference ( χ2=62.88, P<0.001). The influenza epidemic in Jiangsu Province from 2020 to 2022 had obvious seasonal characteristics, and the distribution differences of influenza virus-positive cases in each month were statistically significant ( χ2=858.00, P<0.001), with two epidemic peaks each year: winter, spring (December to March of the following year), and summer, and autumn (July to November). The epidemic strains were the B-V strain and seasonal H3 strain, respectively. There was a statistically significant difference in the positive detection rate of influenza cases detected in different age groups ( χ2=60.00, P<0.001). The age group between 5 and 14 years old had the highest influenza-positive detection rate (10.4%), while the age group≥60 years old had a relatively low influenza-positive detection rate (5.1%). The positive detection rate decreased with the increase in the age group ( Z trend=12.82, P<0.001).
4.Molecular characterization analysis of one H5N6 subtype influenza virus
Huiyan YU ; Fei DENG ; Shenjiao WANG ; Xiang HUO ; Qigang DAI ; Xian QI
Chinese Journal of Experimental and Clinical Virology 2016;30(4):361-364
Objective One H5N6 subtype avian influenza virus,A/environment/ Zhenjiang/C13/ 2013,was isolated from environment in Zhenjiang in 2013 during epidemiological surveillance and was identified by HA/HI test and specific RT-PCR test.H5N6 AIV was subjected to genome sequencing to investigate the genomic composition.Methods The next-generation sequencing (NGS) Illumina MiSeq Platform was used to obtain complete genome sequence information from influenza virus isolates.MEGA6.0 software was used to align the eight fragments of the virus.The phylogenetic and molecular characteristics of the isolate were analyzed by Neighbor-Joining method.Results Blast searches demonstrated that the NA gene belonged to the same clade with H6N6 viruses currently circulating in China,whereas the other seven genes were found to be more similar to those of eastern Asian H5N1 AIV strains gene.The amino acid motif of cleavage site between HA1 and HA2 was PLREKRRKR ↓ GLF,which was the typical characteristics of the HPAIVs.The receptor binding site in the viral HA gene possesses the residues Gln 226 and Gly 228 (H3 numbering),indicating an avian-like receptor binding specificity.Conclusion One H5N6 subtype avian influenza virus was isolated from environment,phylogenetic analysis showed that the NA gene belonged to the same clade with H6N6 viruses.The other seven genes belonged to H5N1 subtype.It suggests that strengthen the continuous surveillance of avian influenza A viruses is necessary.
5.Epidemiological and clinical characteristics of respiratory syncytial virus infections in children in Jiangsu Province, 2014-2023
Wenxin GU ; Ke XU ; Shenjiao WANG ; Fei DENG ; Qigang DAI ; Xin ZOU ; Qingxiang SHANG ; Liling CHEN ; Yu XIA ; Wenjun DAI ; Jie ZHA ; Songning DING ; Min HE ; Changjun BAO
Chinese Journal of Epidemiology 2024;45(11):1537-1543
Objective:To analyze the epidemiological and clinical characteristics of respiratory syncytial virus (RSV) infection in children in Jiangsu Province from 2014 to 2023.Methods:The acute respiratory infection cases in children aged 0-14 years were selected from outpatient/emergency or inpatient departments in 2 surveillance sentinel hospitals, respectively, in Nanjing, Suzhou and Taizhou of Jiangsu from 1 July 2014 to 31 December 2023, and RSV nucleic acid test was conducted and the intensity of the RSV infection was accessed by WHO influenza epidemiological threshold method, and case information and clinical data were collected. χ2 test was used to compare the differences between groups, and the Bonferroni method was used for pairwise comparisons between groups. Results:In 4 946 cases of acute respiratory infections, the RSV positive rate was 8.21% (406/4 946), and the age M( Q1, Q3) of the cases was 1 (0, 3) years. The RSV positive rate was 10.92% (258/2 362) during 2014-2019 and 6.06% (118/1 948) during 2019-2023, the difference was significant ( χ2=31.74, P<0.001). RSV infection mainly occurred from October to March during 2014-2019, with the incidence peak in December and moderate or higher intensity. The seasonality of RSV infection was not obvious during 2019-2023, with low intensity. The RSV positive rate was highest in children in age group 0- years (17.85%, 151/846), and the positive rate declined gradually with age ( χ2=184.51, P<0.001). The RSV positive rate was higher in inpatient cases (9.84%, 244/2 480) than in outpatient/emergency cases (6.57%, 162/2 466) ( χ2=17.54, P<0.001). In the 155 RSV infection cases with complete clinical data, the clinical symptoms mainly included cough (99.35%, 154/155), fever (55.48%, 86/155), and shortness of breath (45.16%, 70/155). In the cases aged <6 months, the proportion of those with fever was low, but the proportion of those with shortness of breath, transferred to intensive care units, and receiving oxygen therapy were higher (all P<0.05). Children aged <6 months and those with underlying diseases were more likely to have severe RSV infection (all P<0.05). Conclusions:RSV infection in children in Jiangsu Province showed seasonal prevalence in winter from 2014 to 2019. Since 2020, the seasonal characteristics of the epidemic have changed, the epidemic period has been dispersed and the epidemic intensity has decreased. Infants <1 year old were at high risk for RSV infection, and those <6 months old and with underlying diseases might have severe infection.