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1.
Comput Math Methods Med ; 2020: 8049631, 2020.
Article in English | MEDLINE | ID: mdl-32565884

ABSTRACT

According to the information reflected by Anhui Center for Disease Control (Anhui CDC) in Hefei, Anhui province of China, some patients infected with respiratory diseases did not seek medical treatment (nonclinic visits) due to their strong resistance, and the influence of them on the spread of respiratory diseases has not been known. A SIS model with considering the nonclinic visits was established; a qualitative theory of the model was analyzed to obtain the basic reproduction number R 0, disease-free equilibrium, endemic equilibrium, and stability of two equilibriums. Then, the model is combined with the daily number of respiratory diseases for parameter estimation and numerical simulation. Numerical simulation results showed that respiratory diseases were easy to break out in the autumn and winter and were relatively stable in the spring and summer. Through parameter estimation, the unknown parameter value was achieved and the result was obtained that the initial number of nonclinic visits is 10-11 times that of clinic visits. Finally, the result of sensitivity analysis displayed that the proportion of the number of nonclinic visits to the total number of patients has a significant influence on the final number of patients. If persons improve their resistance so that the number of nonclinic visits increases, the total number of patients will be reduced or even reduced to zero. Besides, reducing contact infection rate of disease and increasing the cure rate can also reduce the final total number of patients.


Subject(s)
Models, Biological , Respiratory Tract Infections/transmission , Basic Reproduction Number/statistics & numerical data , China/epidemiology , Computational Biology , Computer Simulation , Disease Outbreaks/statistics & numerical data , Humans , Mathematical Concepts , Patient Acceptance of Health Care/statistics & numerical data , Respiratory Tract Infections/epidemiology , Seasons , Treatment Refusal/statistics & numerical data
2.
Respir Physiol Neurobiol ; 247: 12-19, 2018 01.
Article in English | MEDLINE | ID: mdl-28870868

ABSTRACT

The aim of the present study was to investigate whether heme oxygenase-1(HO-1) participated in the resolution of seawater drowning-induced acute respiratory distress syndrome (ARDS). In this study, gross and microscopic morphology of pulmonary tissue, computed tomography images and biochemical indexes were continuously observed from 15min to 15day after seawater drowning. The content and activity of HO-1 were determined by western-blot and spectrophotometric method, respectively. The morphological and biochemical indexes indicated that the seawater drowning could lead to the serious pulmonary hemorrhage and edema. However, 6h after drowning, these morphological and biochemical indexes gradually returned to basal level. Meanwhile, seawater drowning increased the HO-1 expression and activity while Zinc protoporphyrin (a HO-1 specific activity inhibitor) decreased the content of transforming growth factor beta-1 in lung tissue and hampered the repair process of seawater drowning-induced ARDS. Thus, HO-1 participates in the resolution of seawater drowning-induced ARDS.


Subject(s)
Drowning/enzymology , Heme Oxygenase-1/metabolism , Membrane Proteins/metabolism , Respiratory Distress Syndrome/enzymology , Respiratory Distress Syndrome/etiology , Seawater , Animals , Disease Models, Animal , Disease Progression , Drowning/diagnostic imaging , Drowning/pathology , Edema/diagnostic imaging , Edema/enzymology , Edema/etiology , Edema/pathology , Enzyme Inhibitors/pharmacology , Heme Oxygenase-1/antagonists & inhibitors , Hemorrhage/diagnostic imaging , Hemorrhage/enzymology , Hemorrhage/etiology , Hemorrhage/pathology , Lung/diagnostic imaging , Lung/drug effects , Lung/enzymology , Lung/pathology , Male , Membrane Proteins/antagonists & inhibitors , Mice, Inbred ICR , Protoporphyrins/pharmacology , Random Allocation , Recovery of Function/physiology , Respiratory Distress Syndrome/diagnostic imaging , Respiratory Distress Syndrome/pathology
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