1.Epidemic characteristics of Norovirus infection in schools in Hefei City from 2018 to 2022
Qiang ZHANG ; Zhen ZENG ; Yan-ru SANG ; Ren-shu TANG ; Lei ZHANG ; Wei CHEN ; Zhen-wu LIU ; Jin-ju WU ; Xu-xiang LIU
Chinese Journal of Infection Control 2024;23(12):1508-1513
Objective To understand the epidemic characteristics of Norovirus infection in schools in Hefei City,and provide scientific basis for the prevention and control of Norovirus infection in schools.Methods The investiga-tion reports of Norovirus infection reported by the centers for disease control and prevention(CDC)of all counties(cities and districts)in Hefei City and the laboratory test results of Hefei CDC from 2018 to 2022 were analyzed by descriptive epidemiological methods.The related indicators of Norovirus infection,including the attack rate,timeli-ness of reporting,duration of epidemic,clinical symptoms,as well as GⅠ and G Ⅱ classification of Norovirus were compared.Results From 2018 to 2022,there were 217 school Norovirus infections outbreaks in Hefei City,with 3 002 cases and 314 006 affected people.The average annual attack rate ranged from 0.82%to 1.32%.Most cases were from kindergartens,there were 116 cases,accounting for 53.46%,with an average attack rate of 2.87%.The time distribution was bimodal,concentrated in March-June and September-December each year.The attack rate and duration of outbreaks were both significantly higher than those of clustering epidemics(both P<0.001).Positive correlation existed between the timeliness of reporting and the number of outbreaks at the time of receiving the re-port as well as the duration of the epidemic(r=0.182,0.783,respectively,both P<0.001).With the advance-ment of the academic stage,the symptom with diarrhea showed an increasing trend(x2trend=743.236,P<0.001),the symptom with vomiting presented a decreasing trend(x2trend=386.888,P<0.001),and the symptoms with both diarrhea and vomiting presented an increasing trend(x2trend=327.264,P<0.001),while the symptom with fe-ver presented a decreasing trend(x2trend=15.717,P<0.001).The positive detection rate of anal swab specimens(60.10%)was higher than that of vomit and environmental specimens(38.71%,14.29%,respectively,x2=135.685,P<0.001).The laboratory identified 181 cases with Norovirus GⅠ and G Ⅱ subtypes,including 28 cases of G Ⅰsubtype,accounting for 15.47%,and 149 cases of G Ⅱ subtype,accounting for 82.32%.Conclusion Schools are locations with high incidence of Norovirus infection.At the beginning of the school season,various prevention and control measures should be strictly implemented to improve the monitoring sensitivity of symptoms like vomiting,diarrhea,and so on,so as to achieve early detection,early report and early treatment.
2.Epidemic characteristics of Norovirus infection in schools in Hefei City from 2018 to 2022
Qiang ZHANG ; Zhen ZENG ; Yan-ru SANG ; Ren-shu TANG ; Lei ZHANG ; Wei CHEN ; Zhen-wu LIU ; Jin-ju WU ; Xu-xiang LIU
Chinese Journal of Infection Control 2024;23(12):1508-1513
Objective To understand the epidemic characteristics of Norovirus infection in schools in Hefei City,and provide scientific basis for the prevention and control of Norovirus infection in schools.Methods The investiga-tion reports of Norovirus infection reported by the centers for disease control and prevention(CDC)of all counties(cities and districts)in Hefei City and the laboratory test results of Hefei CDC from 2018 to 2022 were analyzed by descriptive epidemiological methods.The related indicators of Norovirus infection,including the attack rate,timeli-ness of reporting,duration of epidemic,clinical symptoms,as well as GⅠ and G Ⅱ classification of Norovirus were compared.Results From 2018 to 2022,there were 217 school Norovirus infections outbreaks in Hefei City,with 3 002 cases and 314 006 affected people.The average annual attack rate ranged from 0.82%to 1.32%.Most cases were from kindergartens,there were 116 cases,accounting for 53.46%,with an average attack rate of 2.87%.The time distribution was bimodal,concentrated in March-June and September-December each year.The attack rate and duration of outbreaks were both significantly higher than those of clustering epidemics(both P<0.001).Positive correlation existed between the timeliness of reporting and the number of outbreaks at the time of receiving the re-port as well as the duration of the epidemic(r=0.182,0.783,respectively,both P<0.001).With the advance-ment of the academic stage,the symptom with diarrhea showed an increasing trend(x2trend=743.236,P<0.001),the symptom with vomiting presented a decreasing trend(x2trend=386.888,P<0.001),and the symptoms with both diarrhea and vomiting presented an increasing trend(x2trend=327.264,P<0.001),while the symptom with fe-ver presented a decreasing trend(x2trend=15.717,P<0.001).The positive detection rate of anal swab specimens(60.10%)was higher than that of vomit and environmental specimens(38.71%,14.29%,respectively,x2=135.685,P<0.001).The laboratory identified 181 cases with Norovirus GⅠ and G Ⅱ subtypes,including 28 cases of G Ⅰsubtype,accounting for 15.47%,and 149 cases of G Ⅱ subtype,accounting for 82.32%.Conclusion Schools are locations with high incidence of Norovirus infection.At the beginning of the school season,various prevention and control measures should be strictly implemented to improve the monitoring sensitivity of symptoms like vomiting,diarrhea,and so on,so as to achieve early detection,early report and early treatment.
3.Predictive analysis on Shenmai injection-induced adverse reactions with Logistic model and ROC curve.
Feng DING ; Qing-ping SHI ; Xiao-dong JIANG ; Yan LIU ; Ran SANG ; Jin-xiu ZHU ; Sheng-tong WEI ; Zhi-ming XIN ; Ru SONG
China Journal of Chinese Materia Medica 2015;40(7):1404-1409
To study relevant risk factors of Shenmai injection induced adverse reactions by using Logistic model and ROC curve, and made the prediction for the occurrence of relevant adverse reactions/events. Case data of patients treated with Shenmai injection were collected by using the prospective, multi-center, large-sample, nested-case control method, in order to analyze the risk factors of Shenmai injection-induced adverse reactions/events, establish the logistic model and draw the receiver operating characteristic (ROC) curve for risk factors. During the study, 7632 patients (including 3 477 males and 4 155 females) were included, and eight of them suffered adverse reactions/events. Based on a multi-factor Logistic model analysis, the age (> or = 50 years) (OR = 5.061, 95% CI: 2.197-7.924; P = 0.001), the total number of medication days (OR = -1.020, 95% CI: -l.652 - 0.388; P = 0.002) and the single dose (OR = 0.245, 95% CI: 0.127-0.364; P = 0.000) were significant independent risk factors for Shenmai injection-induced adverse reactions/events. According to the results, ROC curves were drawn with age (> or = 50 years), the total number of days of inedication and single dose; The area under ROC curves the joint predictor (0.9753, 95% CI: 0.9443-1.000, P < 0.005) was larger than that of the other three single indexes, with a higher risk prediction value. The independent risk factors for Shenmai injection-induced adverse reactions/events included the age (> or = 50 years), the total number of days of medication and single dose. In clinical practice, the age (> or = 50 years), the total number of days of medication and the medication dose can be substituted in the joint predictor calculation formula (P = 1 / [1 + e(-(-21.58 + 5.061 x Xage - 1.020 x Xd + 0.245 x X(mL)] to predict the potential adverse reactions of patients and adjust the dosage regimen.
Adolescent
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Adult
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Aged
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Aged, 80 and over
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Child
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Child, Preschool
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China
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epidemiology
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Drug-Related Side Effects and Adverse Reactions
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epidemiology
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etiology
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Drugs, Chinese Herbal
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administration & dosage
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adverse effects
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Female
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Humans
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Infant
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Logistic Models
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Male
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Middle Aged
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Prospective Studies
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ROC Curve
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Risk Factors
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Young Adult

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