Epidemiological characteristics and spatio-temporal aggregation of severe fever with thrombocytopenia syndrome in Jinan City, China, 2018-2022.

BACKGROUND: Severe fever with thrombocytopenia syndrome (SFTS) has become a significant public health issue in Jinan City. However, the analysis of epidemiological characteristics and spatio-temporal clustering of SFTS in Jinan has not been studied yet. METHODS: SFTS data from 2018-2022 in Jinan City were obtained from the China Information System for Disease Control and Prevention. Global spatial autocorrelation and local spatial autocorrelation analyses were performed using ArcGIS 10.2 software, and spatiotemporal hotspot area detection was carried out using SatScan 9.6 software. RESULTS: Between 2018 and 2022, 680 SFTS cases were reported in Jinan City, resulting in 53 deaths and an average case fatality rate of 7.8%. 99.0% of cases occurred between April and October, 91.9% individuals were over 50 years old, and 87.79% were primarily farmers. A positive spatial correlation of SFTS in Jinan was observed (Moran's I value between 0.135-0.197, P<0.001), indicating spatial aggregation, primarily in Licheng, Zhangqiu, Laiwu, and Gangcheng districts in southeastern Jinan. Spatiotemporal scanning detected one class I and two class II aggregation areas, with the class I aggregation area (RR = 5.66, LLR = 192.547, P<0.001) locating in southeastern Jinan City, comprising 31 towns/streets, and an aggregation time from 13 May 2020 to 13 October 2022. CONCLUSION: Spatial and temporal aggregation of SFTS is evident in Jinan. Based on the spatial and temporal distribution and epidemiological characteristics, prevention and control measures such as public education, monitoring, and training should target key populations in high-incidence epidemic areas.

Investigation on influenza surveillance, disease burden among school students in Jinan City / 中国学校卫生

Objective@#To monitor and analyze the epidemiological characteristics of influenza in schools and understand the disease burden of students, and to provide a scientific reference for instructing the prevention of influenza in schools.@*Methods@#A school influenza surveillance sentinel to conduct influenza like case (ILI) surveillance and outbreak surveillance. Through network, we understood the burden of flu disease among students. Descriptive epidemiology was used to analyze influenza like case surveillance and questionnaire survey data.@*Results@#Surveillance confirmed that from the 42th week of 2019 to the 1st week of 2020, the cumulative reported ILI of 3 school influenza surveillance sites in Jinan accounted for 7.91% (ILI%) of the total number of surveillance personnel during the same period, with the highest ILI% (24.19%) of kindergarten children, ILI% gradually decreased with the increase of grade, and teachers were the lowest. The reporting of ILI was concentrated in the 49th to 52nd week of 2019, during which the reported influenza like cases accounted for 84.81% of the total number of ILI reported during the surveillance period. Two influenza outbreaks were monitored. The pathogens were H3N2 and B (Victoria). The epidemics mainly occurred in the lower grades of elementary school. A survey of 2 297 students found that 577 people had fever and respiratory symptoms since October 2019. Among them, 85.26% of them went to the hospital, 32.75% of those who used anti influenza drugs such as oseltamivir, and 64.81% of those who used antibiotics. 42.63% received infusion therapy, 3.99% were hospitalized, and the average cost of inpatients was 6 686 yuan. The sick students were absent from school for an average of 3.77 days, and the parents of the sick children missed work for an average of 4.26 days.@*Conclusion@#Surveillance of influenza like cases in schools is an important way to proactively discover influenza epidemic trends and outbreaks, and to accurately grasp the characteristics of influenza epidemics in schools. The key populations affected by influenza are kindergarten children and lower grades of primary school students. Suffering from influenza has caused a heavy disease burden on students and children in kindergartens, and is also an important factor that causes student absenteeism and parents to miss work.