Characteristics of norovirus foodborne infection in Jiangsu Province before and after COVID-19 epidemic
Objective To understand the surveillance of norovirus in Jiangsu Province in recent years;to compare and analyze the detection characteristics before and during the epidemic of COVID-19.Methods The norovirus detection and typing results of case specimens from 2015 to 2021 were collected through the the Jiangsu Provincial Foodbome Disease Surveillance Network,which were subjected to descriptive epidemiological analysis for the norovirus detection results;the detection rates of norovirus between 2015-2019(before COVID-19 epidemic)and 2020-2021(during COVID-19 epidemic)were compared.Results A total of 73,190 samples were detected from 2015 to 2021,resulting a positive rate of 5.68％.The annual detection rate ranged from 4.35％to 10.59％,with a statisti-cally significant difference(x2=586.24,P＜0.01).The positive detection rate of norovirus was highest among the 14 to 34-year age group(7.03％),in winter(10.81％),with vomiting symptoms(9.26％),eating place of dining hall(9.82％),and suspicious food of meat or meat products(6.72％),with statistically significant differences among different age groups,seasons,symptoms,eating places,and suspicious food types(x2 values were 12.75-827.56,all P＜0.05).The positive detection rate before the epidemic(6.26％)was higher than that during the epidemic(4.46％).Compared with the positive detection rates before epidemic,the positive detection rates in spring,summer,and autumn decreased by 22.25％to 50.96％,and in winter increased by 42.81％,all with statistically significant differences(x2 values were 16.14-86.45,all P＜0.05).A total of 2 657 cases were typed successfully,h the GⅡ subtype was the domi-nant genotype(71.70％),followed by GI(23.71％)and GI/GⅡ(4.59％);The genotype compositions before and during the epidemic were the same in order,but the distribution was statistically significant(x2=1 840.71,P＜0.05).Conclusions Prevention and control measures in response to the COVID-19 pandemic may reduce the prevalence of norovirus foodborne infections.
NETL
NSTL
万方数据
