1.Correlation analysis of incidence trends of severe fever with thrombocytopenia syndrome (SFTS) and meteorological factors in Weifang city, Shandong province, 2015-2024
Ziliang FAN ; Xiyuan HUO ; Yaqi SHEN ; Cuimei GU ; Zhu YANG ; Senmei YUAN ; Miaomiao SHAN ; Jian ZHOU ; Ye ZHANG ; Dongying LI
Chinese Journal of Experimental and Clinical Virology 2025;39(2):154-161
Objective:To investigate the potential causes of the rising epidemic of severe fever with thrombocytopenia syndrome (SFTS) in Weifang, Shandong province.Methods:The temporal trend of SFTS epidemic was segmented using Joinpoint regression analysis. Changes in epidemiological characteristics across different periods were compared, and correlation analysis was conducted to identify meteorological factors influencing the epidemic trend.Results:Joinpoint regression revealed two distinct periods for SFTS epidemic in Weifang: 2015-2021 and 2022-2024. No significant trend was observed during 2015-2021 ( P=0.634), while a sharp annual increase of 46.69% occurred from 2022 to 2024 ( P=0.006). Spatial autocorrelation analysis demonstrated a global Moran’s I of 0.42 ( Z=8.55, P<0.001) for 2015-2021, with 15 high-high clustering areas identified. For 2022-2024, the global Moran’s I decreased to 0.37 ( Z=7.31, P<0.001), with 13 high-high clusters, including newly emerging hotspots in Anqiu and Zhucheng in the southeastern region. High-risk populations remained individuals aged ≥50 in mountainous and hilly areas, with a marked rise in incidence in these groups. The male-to-female ratio of cases was higher in plain areas than in mountainous/hilly regions. Autumn (September-November) temperatures from the preceding year showed a positive correlation with annual case numbers ( P=0.004, r=0.82). The linear regression expression is y=40.61x-580.78 (y is the annual incidence, and x is the average daily temperature of last autumn). Conclusions:The SFTS epidemic in Weifang is showing a rising trend. There is a linear correlation between the temperature of the previous autumn and the scale of SFTS epidemic in the following year. This correlation allows for predicting the subsequent year′s epidemic, thereby enabling early warning of SFTS.
2.Correlation analysis of incidence trends of severe fever with thrombocytopenia syndrome (SFTS) and meteorological factors in Weifang city, Shandong province, 2015-2024
Ziliang FAN ; Xiyuan HUO ; Yaqi SHEN ; Cuimei GU ; Zhu YANG ; Senmei YUAN ; Miaomiao SHAN ; Jian ZHOU ; Ye ZHANG ; Dongying LI
Chinese Journal of Experimental and Clinical Virology 2025;39(2):154-161
Objective:To investigate the potential causes of the rising epidemic of severe fever with thrombocytopenia syndrome (SFTS) in Weifang, Shandong province.Methods:The temporal trend of SFTS epidemic was segmented using Joinpoint regression analysis. Changes in epidemiological characteristics across different periods were compared, and correlation analysis was conducted to identify meteorological factors influencing the epidemic trend.Results:Joinpoint regression revealed two distinct periods for SFTS epidemic in Weifang: 2015-2021 and 2022-2024. No significant trend was observed during 2015-2021 ( P=0.634), while a sharp annual increase of 46.69% occurred from 2022 to 2024 ( P=0.006). Spatial autocorrelation analysis demonstrated a global Moran’s I of 0.42 ( Z=8.55, P<0.001) for 2015-2021, with 15 high-high clustering areas identified. For 2022-2024, the global Moran’s I decreased to 0.37 ( Z=7.31, P<0.001), with 13 high-high clusters, including newly emerging hotspots in Anqiu and Zhucheng in the southeastern region. High-risk populations remained individuals aged ≥50 in mountainous and hilly areas, with a marked rise in incidence in these groups. The male-to-female ratio of cases was higher in plain areas than in mountainous/hilly regions. Autumn (September-November) temperatures from the preceding year showed a positive correlation with annual case numbers ( P=0.004, r=0.82). The linear regression expression is y=40.61x-580.78 (y is the annual incidence, and x is the average daily temperature of last autumn). Conclusions:The SFTS epidemic in Weifang is showing a rising trend. There is a linear correlation between the temperature of the previous autumn and the scale of SFTS epidemic in the following year. This correlation allows for predicting the subsequent year′s epidemic, thereby enabling early warning of SFTS.
3.Clinicopathological analysis of solitary fibrous tumor in 11 patients
Zilan ZHANG ; Xuewen GU ; Qin XIAO ; Cuimei WANG
Cancer Research and Clinic 2015;27(2):107-108,112
Objective To evaluate the clinicopathological characteristics and immunophenotype of solitary fibrous tumor (SFT),which is able to provide the basis for clinical diagnosis and prognosis,differential diagnosis and predictable prognosis.Methods Data from 11 cases of SFT were investigated by immunohistochemical.Results Histologically,SFT was composed of spindle cells,which arranged in fascicles pattern,as well as the collagen and branch vessels.Malignant SFT had higher and crowed cellularity with significant pleomorphism,numerous mitoses and putrescence.Positivity for bcl-2 and CD34 was observed in all SFT.Eight tissues showed CD99 positivity,one showed s-100 positivity,all 1 1 tissues showed Ckpan negativity.Conclusions SFT has originated from different sites,which should be distinguished with fibrosarcoma and other spindle cell neoplasms.More attentions should be paid to malignant SFT and focus on the follow-up visit.

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