1.An outbreak of influenza A H1N1 in a specialized psychiatric hospital
Junting XIAO ; Paihan CHEN ; Ting HU ; Ying ZHOU ; Weinan LI ; Yebin CHEN ; Zixi CAI ; Gengna CHEN
Chinese Journal of Infection Control 2025;24(7):1001-1005
Objective To analyze the epidemiological characteristics and risk factors of an outbreak of influenza A H1N1 in a specialized psychiatric hospital in Shantou City,Guangdong Province,provide scientific basis for the pre-vention and control of respiratory infectious diseases in psychiatric health institutions.Methods Data of infection cases in this hospital in May 1-27,2024 were collected with on-site epidemiological investigation method,and were analyzed with descriptive epidemiological methods.The specimens of the cases were performed nucleic acid testing by reverse transcription polymerase chain reaction(RT-PCR)method.Results A total of 43 influenza-like cases in this outbreak have been reported,with an incidence of 16.67%,including 42 hospitalized patients and 1 healthcare worker.Among the 42 hospitalized patients,there were 41 males,with an incidence of 35.04%and 1 female with an incidence of 2.22%,there was a statistically significant difference in incidence between hospitalized patients of different genders(x2=18.23,P<0.001).The epidemic curve shows that after the first case appeared on May 8,2024,the number of cases increased significantly from May 13,and reached its peak on May 17(n=17).31 pa-tients' throat swab specimens were collected,out of which 29(93.55%)were positive for influenza A H1N1 virus nucleic acid and 2(6.45%)were negative.Conclusion This epidemic is an outbreak of influenza A H1N1 in a psy-chiatric health institution,the epidemic curve shows a point source human-to-human transmission mode.Failure to effectively identify and isolate cases in the early stage can lead to the spread of the epidemic across floors and wards.It is necessary to regularly organize hospitalized patients and healthcare workers to receive influenza vaccines,strict-ly implement the health monitoring system,strengthen the control of external personnel,and enhance the early de-tection and emergency response capabilities for infectious disease outbreaks.
2.An outbreak of influenza A H1N1 in a specialized psychiatric hospital
Junting XIAO ; Paihan CHEN ; Ting HU ; Ying ZHOU ; Weinan LI ; Yebin CHEN ; Zixi CAI ; Gengna CHEN
Chinese Journal of Infection Control 2025;24(7):1001-1005
Objective To analyze the epidemiological characteristics and risk factors of an outbreak of influenza A H1N1 in a specialized psychiatric hospital in Shantou City,Guangdong Province,provide scientific basis for the pre-vention and control of respiratory infectious diseases in psychiatric health institutions.Methods Data of infection cases in this hospital in May 1-27,2024 were collected with on-site epidemiological investigation method,and were analyzed with descriptive epidemiological methods.The specimens of the cases were performed nucleic acid testing by reverse transcription polymerase chain reaction(RT-PCR)method.Results A total of 43 influenza-like cases in this outbreak have been reported,with an incidence of 16.67%,including 42 hospitalized patients and 1 healthcare worker.Among the 42 hospitalized patients,there were 41 males,with an incidence of 35.04%and 1 female with an incidence of 2.22%,there was a statistically significant difference in incidence between hospitalized patients of different genders(x2=18.23,P<0.001).The epidemic curve shows that after the first case appeared on May 8,2024,the number of cases increased significantly from May 13,and reached its peak on May 17(n=17).31 pa-tients' throat swab specimens were collected,out of which 29(93.55%)were positive for influenza A H1N1 virus nucleic acid and 2(6.45%)were negative.Conclusion This epidemic is an outbreak of influenza A H1N1 in a psy-chiatric health institution,the epidemic curve shows a point source human-to-human transmission mode.Failure to effectively identify and isolate cases in the early stage can lead to the spread of the epidemic across floors and wards.It is necessary to regularly organize hospitalized patients and healthcare workers to receive influenza vaccines,strict-ly implement the health monitoring system,strengthen the control of external personnel,and enhance the early de-tection and emergency response capabilities for infectious disease outbreaks.
3.Research progress in health effects of long-term exposure to low-dose ionizing radiation
Paihan CHEN ; Huifeng CHEN ; Jianming ZOU
Chinese Journal of Radiological Health 2022;31(1):99-104
With the development of nuclear energy and the wide application of ionizing radiation, more and more occupational populations and the public are exposed to low-dose ionizing radiation. Consequently, the research on human health effects of exposure to low-dose ionizing radiation, including carcinogenic and non-carcinogenic effects, have become a hot topic in the field of public health. The biological effects caused by low-dose ionizing radiation mainly depend on the physical property, duration, dose, and dose rate of ionizing radiation. At present, there is no consensus on the effects of long-term exposure to low-dose ionizing radiation on human health. This article reviews the research on the health effects of long-term exposure to low-dose ionizing radiation at home and abroad, and provides a scientific basis for research on the health effects, influence mechanism, and protection strategies of long-term exposure to low-dose ionizing radiation.
4.Analysis of blood lipid levels and its influencing factors in male residents around an uranium mine
Paihan CHEN ; Jianming ZOU ; Huifeng CHEN ; Kengkeng CHEN ; Fan CUI ; Weixu HUANG
Chinese Journal of Radiological Medicine and Protection 2022;42(2):121-129
Objective:To analyze the serum lipid levels, and its influencing factors, of male residents around an uranium mine in order to provide a scientific basis for health risk assessment for such residents.Methods:With such a mine as the center, the surveyed subjects were divided into four groups as within 5, 10, 15 and 20 km of this mine, respectively. These male residents living around the mine were randomly selected as subjects. A health questionnaire survey was conducted among the subjects. The indicator such as height, weight and blood pressure were measured by means of the standard method. Peripheral venous blood was extracted from the subjects, and their venous blood glucose and serum lipid were detected. The levels of serum lipid and detectable rates of abnormal serum lipid were analyzed by using univariate analysis, and multivariate logistic regression analysis was used to analyze the influencing factors of dyslipidemia.Results:A total of 867 males at age 40 to 69 was included in the vicinity of the mine. The mean levels ( ± s) of TC, TG, LDL-C, and HDL-C were (5.46±1.11), (1.92±1.64), (3.19±1.02), and (1.39±0.43) mmol/L, respectively. 384 subjects with dyslipidemia were totally detected in the residents, and the detection rate was 44.29% (384/867). Of the residents with dyslipidemia, the majority was abnormal in two lipid related indexes (45.57%, 175/384). Univariate analysis result showed that there was statistically significant difference in TG level in different distance groups ( F=3.34, P<0.05). There were statistically significant differences in the abnormal detection rates of TG and HDL-C in subjects in different distance groups ( χ2=9.52, 10.18, P<0.05). The detection rates of dyslipidemia were significantly different in the groups of BMI, blood pressure and blood glucose ( χ2=45.91, 32.31, 11.42, P<0.05). Multivariate logistic regression analysis showed that excluding marital status and degree of education, the BMI, blood pressure and blood glucose all had an impact on dyslipidemia. The residents with overweight ( OR=2.08, 95% CI: 1.52-2.86) and obeseness ( OR=2.88, 95% CI: 1.58-5.24) had a higher risk for dyslipidemia than those with normal weight. The risks for dyslipidemia in the residents with hypertension ( OR=1.94, 95% CI: 1.45-2.60) and hyperglycemia ( OR= 2.17, 95% CI: 1.27-3.69) were higher than those with normal blood pressure and blood glucose, respectively. Conclusions:The detection rate of dyslipidemia is higher in male residents around the mine. The BMI, alcohol consumption, blood pressure, blood glucose and distance from the mine are influencing dyslipidemia and other relevant indexes. Overweight is an independent risk factor for dyslipidemia and its components. The distances from uranium mine has no significant effect on the dyslipidemia of male residents.

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