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1.
Zhonghua Liu Xing Bing Xue Za Zhi ; 42(12): 2082-2087, 2021 Dec 10.
Article in Chinese | MEDLINE | ID: mdl-34954968

ABSTRACT

Objective: To understand the epidemiological characteristics of imported COVID-19 cases in Tianjin, and provide references for risk assessment and control of imported COVID-19 cases. Methods: The information of imported COVID-19 cases were obtained from National Notifiable Disease Report System of China CDC. The data of imported COVID-19 cases reported from Tianjin airport and epidemiological surveys by CDCs at all levels from March 15, 2020 to August 31, 2021 were collected and analyzed by using software Excel 2010, SPSS 25.0 and R. Results: From March 15, 2020 to August 31, 2021, a total of 606 imported cases of COVID-19 were reported in Tianjin, in which 552 cases were finally included in the analysis. The male to female ratio of the cases was 1.8∶1, the age of the cases ranged from 3 to 77 years, and the cases were mainly reported in age group 20-39 years (59.8%). The areas where the imported case sojourned within 14 days included Europe (242 cases, 43.8%), Africa (139 cases, 25.2%), Americas (85 cases, 15.4%) and Asia (86 cases, 15.6%). The proportion of confirmed cases in autumn and winter was relatively high. During the study period, the proportion of infected persons found in custom entry quarantine decreased, and the proportion of persons with personal health declaration and under medical isolation observation increased. The interval between entry and diagnosis of infected persons tended to increase. Conclusion: The proportion of imported COVID-19 cases detected on the first day of entry at Tianjin airport decreased, and the interval to detect the infected persons trended to increase, to which close attention must be paid.


Subject(s)
COVID-19 , Adolescent , Adult , Aged , Child , Child, Preschool , China/epidemiology , Female , Humans , Male , Middle Aged , Quarantine , SARS-CoV-2 , Surveys and Questionnaires , United States , Young Adult
2.
Zhonghua Liu Xing Bing Xue Za Zhi ; 40(2): 251-254, 2019 Feb 10.
Article in Chinese | MEDLINE | ID: mdl-30744282

ABSTRACT

The situation of air pollution has become increasingly serious and its relationship with diabetes becomes a new research concern, in China. After going through a large number of epidemiological studies published in recent years, this paper reviews the relationship between major air pollutants and both blood glucose and blood lipid, related to type 2 diabetes. It also summarizes the relationships among the main pollutants of the atmosphere so as to propose the research directions in this field. Hopefully, this paper can provide reference for forming policies on air pollution, prevention and treatment of type 2 diabetes in the country.


Subject(s)
Air Pollutants/adverse effects , Air Pollution/adverse effects , Diabetes Mellitus, Type 2/chemically induced , China , Humans , Particulate Matter , Risk Factors
3.
Space Med Med Eng (Beijing) ; 12(4): 262-6, 1999 Aug.
Article in Chinese | MEDLINE | ID: mdl-11542707

ABSTRACT

OBJECTIVE: To simulate the cardiovascular response to lower body negative pressure (LBNP). METHOD: A computer model was developed. It had 7 subparts: the redistribution of blood, the filling of left ventricle, left ventricle, peripheral circulation, control of heart rate, control of peripheral resistance and control of venous tone. The heart rate and venous tone were controlled by high-pressure receptor baroreflex, while the peripheral resistance was controlled by high- and low-pressure receptor baroreflexes. RESULT: With the help of the model, cardiovascular response to LBNP up to -10.64 kPa (-80 mmHg) were simulated, including the changes of systolic blood pressure, mean blood pressure, heart rate and cardiac output. The time-dependent response to a LBNP profile was also simulated. The simulation results coincided well with human experiments. CONCLUSION: The model is valid and can accurately reproduce the short-term hemodynamic response to LBNP.


Subject(s)
Cardiovascular Physiological Phenomena , Computer Simulation , Lower Body Negative Pressure , Models, Cardiovascular , Aerospace Medicine , Baroreflex/physiology , Blood Pressure/physiology , Cardiac Output/physiology , Evaluation Studies as Topic , Heart Rate/physiology , Humans , Vascular Resistance/physiology , Ventricular Function, Left/physiology
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